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2024
[j33]
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Fayaz Ali Dharejo, Basit Alawode, Iyyakutti Iyappan Ganapathi, Le Wang, Ajmal Mian, Radu Timofte, Sajid Javed:
Multi-Distillation Underwater Image Super-Resolution via Wavelet Transform. IEEE Access 12: 131083-131099 (2024)
[j32]
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Longguang Wang, Juncheng Li, Naoto Yokoya, Radu Timofte, Yulan Guo:
Guest Editorial: Advanced image restoration and enhancement in the wild. IET Comput. Vis. 18(4): 435-438 (2024)
[j31]
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Hongying Liu, Zekun Li, Fanhua Shang, Yuanyuan Liu, Liang Wang, Wei Feng, Radu Timofte:
Arbitrary-scale Super-resolution via Deep Learning: A Comprehensive Survey. Inf. Fusion 102: 102015 (2024)
[j30]
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  - journals/jimaging/MironCPT24
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Casian Miron, George Ciubotariu, Alexandru Pasarica, Radu Timofte:
Efficient End-to-End Convolutional Architecture for Point-of-Gaze Estimation. J. Imaging 10(9): 237 (2024)
[j29]
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Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool:
VRT: A Video Restoration Transformer. IEEE Trans. Image Process. 33: 2171-2182 (2024)
[c329]
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Marcos V. Conde, Javier Vazquez-Corral, Michael S. Brown, Radu Timofte:
NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement. AAAI 2024: 1371-1379
[c328]
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Gregor Geigle, Radu Timofte, Goran Glavas:
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations. ACL (1) 2024: 5064-5084
[c327]
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Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
Deep Equilibrium Diffusion Restoration with Parallel Sampling. CVPR 2024: 2824-2834
[c326]
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Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-Chii Liu, Qinyu Chen, Zhengjun Zha, Wei Zhai, Han Han, Bohao Liao, Yuliang Wu, Zengyu Wan, Zhong Wang, Yang Cao, Ganchao Tan, Jinze Chen, Yan Ru Pei, Sasskia Brüers, Sébastien M. Crouzet, Douglas McLelland, Olivier Coenen, Baoheng Zhang, Yizhao Gao, Jingyuan Li, Hayden Kwok-Hay So, Philippe Bich, Chiara Boretti, Luciano Prono, Mircea Lica, David Dinucu-Jianu, Catalin Grîu, Xiaopeng Lin, Hongwei Ren, Bojun Cheng, Xinan Zhang, Valentin Vial, Anthony Yezzi, James Tsai:
Event-Based Eye Tracking. AIS 2024 Challenge Survey. CVPR Workshops 2024: 5810-5825
[c325]
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Marcos V. Conde, Saman Zadtootaghaj, Nabajeet Barman, Radu Timofte, Chenlong He, Qi Zheng, Ruoxi Zhu, Zhengzhong Tu, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Zicheng Zhang, Haoning Wu, Yingjie Zhou, Chunyi Li, Xiaohong Liu, Weisi Lin, Guangtao Zhai, Wei Sun, Yuqin Cao, Yanwei Jiang, Jun Jia, Zhichao Zhang, Zijian Chen, Weixia Zhang, Xiongkuo Min, Steve Göring, Zihao Qi, Chen Feng:
AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results. CVPR Workshops 2024: 5826-5837
[c324]
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Marcos V. Conde, Zhijun Lei, Wen Li, Ioannis Katsavounidis, Radu Timofte, Min Yan, Xin Liu, Qian Wang, Xiaoqian Ye, Zhan Du, Tiansen Zhang, Zhiyuan Li, Hao Wei, Chenyang Ge, Jiangtao Lv, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Menghan Zhou, Yiqiang Yan, Kihwan Yoon, Ganzorig Gankhuyag, Jae-Hyeon Lee, Ui-Jin Choi, Hyeon-Cheol Moon, Tae Hyun Jeong, Yoonmo Yang, Jae-Gon Kim, Jinwoo Jeong, Sunjei Kim, Xintao Qiu, Yuanbo Zhou, Kongxian Wu, Xinwei Dai, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Long Peng, Jiaming Guo, Xin Di, Bohao Liao, Zhibo Du, Peize Xia, Renjing Pei, Yang Wang, Yang Cao, Zhengjun Zha, Bingnan Han, Hongyuan Yu, Zhuoyuan Wu, Cheng Wan, Yuqing Liu, Haodong Yu, Jizhe Li, Zhijuan Huang, Yuan Huang, Yajun Zou, Xianyu Guan, Qi Jia, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Dongyang Zhang, Tianle Liu, Huaian Chen, Yi Jin:
Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey. CVPR Workshops 2024: 5838-5856
[c323]
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Guillaume Thiry, Hao Tang, Radu Timofte, Luc Van Gool:
Towards Online Real-Time Memory-based Video Inpainting Transformers. CVPR Workshops 2024: 6035-6044
[c322]
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Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel:
NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results. CVPR Workshops 2024: 6108-6132
[c321]
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Zhilu Zhang, Shuohao Zhang, Renlong Wu, Wangmeng Zuo, Radu Timofte, Xiaoxia Xing, Hyunhee Park, Sejun Song, Changho Kim, Xiangyu Kong, Jinlong Wu, Jianxing Zhang, Jingfan Tan, Zikun Liu, Wenhan Luo, Wenjie Lin, Chengzhi Jiang, Mingyan Han, Zhen Liu, Ting Jiang, Jinting Luo, Shen Cheng, Linze Li, Xinhan Niu, Shuaicheng Liu, Kexin Dai, Kangzhen Yang, Tao Hu, Xiangyu Chen, Yu Cao, Qingsen Yan, Yanning Zhang, Genggeng Chen, Yongqing Yang, Wei Dong, Xinwei Dai, Yuanbo Zhou, Xintao Qiu, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Peng Zhang, Yifei Chen, Wenbo Xiong, Zhijun Song, Pu Cheng, Taolue Feng, Yunqing He, Daiguo Zhou, Ying Huang, Xiaowen Ma, Peng Wu:
NTIRE 2024 Challenge on Bracketing Image Restoration and Enhancement: Datasets, Methods and Results. CVPR Workshops 2024: 6153-6166
[c320]
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  - conf/cvpr/IgnatovIT22
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Dmitry Ignatov, Andrey Ignatov, Radu Timofte:
Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation? CVPR Workshops 2024: 6177-6186
[c319]
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Longguang Wang, Yulan Guo, Juncheng Li, Hongda Liu, Yang Zhao, Yingqian Wang, Zhi Jin, Shuhang Gu, Radu Timofte:
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2024: 6198-6207
[c318]
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Yingqian Wang, Zhengyu Liang, Qianyu Chen, Longguang Wang, Jungang Yang, Radu Timofte, Yulan Guo, Wentao Chao, Yiming Kan, Xuechun Wang, Fuqing Duan, Guanghui Wang, Wang Xia, Ziqi Wang, Yue Yan, Peiqi Xia, Shunzhou Wang, Yao Lu, Angulia Yang, Kai Jin, Zeqiang Wei, Sha Guo, Mingzhi Gao, Xiuzhuang Zhou, Zhongxin Yu, Shaofei Luo, Cheng Zhong, Shaorui Chen, Long Peng, Yuhong He, Gaosheng Liu, Huanjing Yue, Jingyu Yang, Zhengjian Yao, Jiakui Hu, Lujia Jin, Zhi-Song Liu, Chenhang He, Jun Xiao, Xiuyuan Wang, Zonglin Tian, Yifan Mao, Deyang Liu, Shizheng Li, Ping An:
NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results. CVPR Workshops 2024: 6218-6234
[c317]
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Xiaohong Liu, Xiongkuo Min, Guangtao Zhai, Chunyi Li, Tengchuan Kou, Wei Sun, Haoning Wu, Yixuan Gao, Yuqin Cao, Zicheng Zhang, Xiele Wu, Radu Timofte, Fei Peng, Huiyuan Fu, Anlong Ming, Chuanming Wang, Huadong Ma, Shuai He, Zifei Dou, Shu Chen, Huacong Zhang, Haiyi Xie, Chengwei Wang, Baoying Chen, Jishen Zeng, Jianquan Yang, Weigang Wang, Xi Fang, Xiaoxin Lv, Jun Yan, Tianwu Zhi, Yabin Zhang, Yaohui Li, Yang Li, Jingwen Xu, Jianzhao Liu, Yiting Liao, Junlin Li, Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Hossein Motamednia, S. Farhad Hosseini-Benvidi, Ahmad Mahmoudi-Aznaveh, Azadeh Mansouri, Ganzorig Gankhuyag, Kihwan Yoon, Yifang Xu, Haotian Fan, Fangyuan Kong, Shiling Zhao, Weifeng Dong, Haibing Yin, Li Zhu, Zhiling Wang, Bingchen Huang, Avinab Saha, Sandeep Mishra, Shashank Gupta, Rajesh Sureddi, Oindrila Saha, Luigi Celona, Simone Bianco, Paolo Napoletano, Raimondo Schettini, Junfeng Yang, Jing Fu, Wei Zhang, Wenzhi Cao, Limei Liu, Han Peng, Weijun Yuan, Zhan Li, Yihang Cheng, Yifan Deng, Haohui Li, Bowen Qu, Yao Li, Shuqing Luo, Shunzhou Wang, Wei Gao, Zihao Lu, Marcos V. Conde, Radu Timofte, Xinrui Wang, Zhibo Chen, Ruling Liao, Yan Ye, Qiulin Wang, Bing Li, Zhaokun Zhou, Miao Geng, Rui Chen, Xin Tao, Xiaoyu Liang, Shangkun Sun, Xingyuan Ma, Jiaze Li, Mengduo Yang, Haoran Xu, Jie Zhou, Shiding Zhu, Bohan Yu, Pengfei Chen, Xinrui Xu, Jiabin Shen, Zhichao Duan, Erfan Asadi, Jiahe Liu, Qi Yan, Youran Qu, Xiaohui Zeng, Lele Wang, Renjie Liao:
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. CVPR Workshops 2024: 6337-6362
[c316]
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Xiaohong Liu, Xiongkuo Min, Guangtao Zhai, Chunyi Li, Tengchuan Kou, Wei Sun, Haoning Wu, Yixuan Gao, Yuqin Cao, Zicheng Zhang, Xiele Wu, Radu Timofte, Fei Peng, Huiyuan Fu, Anlong Ming, Chuanming Wang, Huadong Ma, Shuai He, Zifei Dou, Shu Chen, Huacong Zhang, Haiyi Xie, Chengwei Wang, Baoying Chen, Jishen Zeng, Jianquan Yang, Weigang Wang, Xi Fang, Xiaoxin Lv, Jun Yan, Tianwu Zhi, Yabin Zhang, Yaohui Li, Yang Li, Jingwen Xu, Jianzhao Liu, Yiting Liao, Junlin Li, Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Hossein Motamednia, S. Farhad Hosseini-Benvidi, Ahmad Mahmoudi-Aznaveh, Azadeh Mansouri, Ganzorig Gankhuyag, Kihwan Yoon, Yifang Xu, Haotian Fan, Fangyuan Kong, Shiling Zhao, Weifeng Dong, Haibing Yin, Li Zhu, Zhiling Wang, Bingchen Huang, Avinab Saha, Sandeep Mishra, Shashank Gupta, Rajesh Sureddi, Oindrila Saha, Luigi Celona, Simone Bianco, Paolo Napoletano, Raimondo Schettini, Junfeng Yang, Jing Fu, Wei Zhang, Wenzhi Cao, Limei Liu, Han Peng, Weijun Yuan, Zhan Li, Yihang Cheng, Yifan Deng, Haohui Li, Bowen Qu, Yao Li, Shuqing Luo, Shunzhou Wang, Wei Gao, Zihao Lu, Marcos V. Conde, Radu Timofte, Xinrui Wang, Zhibo Chen, Ruling Liao, Yan Ye, Qiulin Wang, Bing Li, Zhaokun Zhou, Miao Geng, Rui Chen, Xin Tao, Xiaoyu Liang, Shangkun Sun, Xingyuan Ma, Jiaze Li, Mengduo Yang, Haoran Xu, Jie Zhou, Shiding Zhu, Bohan Yu, Pengfei Chen, Xinrui Xu, Jiabin Shen, Zhichao Duan, Erfan Asadi, Jiahe Liu, Qi Yan, Youran Qu, Xiaohui Zeng, Lele Wang, Renjie Liao:
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. CVPR Workshops 2024: 6337-6362
[c315]
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Xin Li, Kun Yuan, Yajing Pei, Yiting Lu, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Wei Sun, Haoning Wu, Zicheng Zhang, Jun Jia, Zhichao Zhang, Linhan Cao, Qiubo Chen, Xiongkuo Min, Weisi Lin, Guangtao Zhai, JianHui Sun, Tianyi Wang, Lei Li, Han Kong, Wenxuan Wang, Bing Li, Cheng Luo, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Fangyuan Kong, Haotian Fan, Yifang Xu, Haoran Xu, Mengduo Yang, Jie Zhou, Jiaze Li, Shijie Wen, Mai Xu, Da Li, Shunyu Yao, Jiazhi Du, Wangmeng Zuo, Zhibo Li, Shuai He, Anlong Ming, Huiyuan Fu, Huadong Ma, Yong Wu, Fie Xue, Guozhi Zhao, Lina Du, Jie Guo, Yu Zhang, Huimin Zheng, Junhao Chen, Yue Liu, Dulan Zhou, Kele Xu, Qisheng Xu, Tao Sun, Zhixiang Ding, Yuhang Hu:
NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results. CVPR Workshops 2024: 6415-6431
[c314]
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Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Yidi Liu, Xingbo Wang, Yurui Zhu, Gege Shi, Xin Lu, Xueyang Fu, Zheng-Jun Zha, Wei Dong, Han Zhou, Ruiyi Wang, Xiaohong Liu, Guangtao Zhai, Jun Chen, Wei Song, Yichang Gao, Jiahao Xiong, Hualiang Lin, Xianger Li, Dong Li, Mohab Kishawy, Ruibin Li, Seyed Amirreza Mousavi, Rana Rauf, Yangyi Liu, Huan Liu, Mingsheng Tu, Kele Xu, JiaWen Chen, Qisheng Xu, Tao Sun, Jin Guo, Ben Shao, Tianli Liu, Mohao Wu, Xingzhuo Yan, Minghan Fu, Lehan Yang, Xin Lin, Lu Qi, Jincen Song, Xiaoqian Hu, Linwei Tao, Hongming Chen, Xiang Chen, Chuanlong Xie, Zhao Zhang, Junhu Wang, Yanyan Wei, Suiyi Zhao, Shengeng Tang, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenjing Jiang, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C:
NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report. CVPR Workshops 2024: 6453-6468
[c313]
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Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Yangyang Zhang, Cailin Wu, Zhuangda He, Shuangshuang Yin, Jiaxu Dong, Yangchenxu Liu, Hao Jiang, Jun Shi, Yong A, Yixiang Jin, Dingzhe Li, Bingxin Ke, Anton Obukhov, Tinafu Wang, Nando Metzger, Shengyu Huang, Konrad Schindler, Yachuan Huang, Jiaqi Li, Junrui Zhang, Yiran Wang, Zihao Huang, Tianqi Liu, Zhiguo Cao, Pengzhi Li, Jui-Lin Wang, Wenjie Zhu, Hui Geng, Yuxin Zhang, Long Lan, Kele Xu, Tao Sun, Qisheng Xu, Sourav Saini, Aashray Gupta, Sahaj K. Mistry, Aryan Shukla, Vinit Jakhetiya, Sunil Prasad Jaiswal, Yuejin Sun, Zhuofan Zheng, Yi Ning, Jen-Hao Cheng, Hou-I Liu, Hsiang-Wei Huang, Cheng-Yen Yang, Zhongyu Jiang, Yi-Hao Peng, Aishi Huang, Jenq-Neng Hwang:
NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CVPR Workshops 2024: 6499-6512
[c312]
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Ren Yang, Radu Timofte, Bingchen Li, Xin Li, Mengxi Guo, Shijie Zhao, Li Zhang, Zhibo Chen, Dongyang Zhang, Yash Arora, Aditya Arora, Yuanbin Chen, Hui Tang, Tao Wang, Longxuan Zhao, Bin Chen, Tong Tong, Qiao Mo, Jingwei Bao, Jinhua Hao, Yukang Ding, Hantang Li, Ming Sun, Chao Zhou, Shuyuan Zhu, Zhi Jin, Wei Wang, Dandan Zhan, Jiawei Wu, Jiahao Wu, Luwei Tu, Hongyu An, Xinfeng Zhang, Woon-Ha Yeo, Wang-Taek Oh, Young-Il Kim, Han-Cheol Ryu, Long Sun, Mingjun Zhen, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Yapeng Du, Ao Li, Ziyang He, Lei Luo, Ce Zhu, Xin Yao, Sunder Ali Khowaja, Ikhyun Lee, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy:
NTIRE 2024 Challenge on Blind Enhancement of Compressed Image: Methods and Results. CVPR Workshops 2024: 6524-6535
[c311]
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Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou, Zongwei Wu, Cailian Chen, Radu Timofte, Wei Dong, Han Zhou, Yuqiong Tian, Jun Chen, Xueyang Fu, Xin Lu, Yurui Zhu, Xi Wang, Dong Li, Jie Xiao, Yunpeng Zhang, Zheng-Jun Zha, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Yanyan Wei, Zhihao Zhao, Long Sun, Tingting Yang, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bilel Benjdira, Mohammed Nassif, Anis Koubaa, Ahmed Elhayek, Anas M. Ali, Kyotaro Tokoro, Kento Kawai, Kaname Yokoyama, Takuya Seno, Yuki Kondo, Norimichi Ukita, Chenghua Li, Bo Yang, Zhiqi Wu, Gao Chen, Yihan Yu, Sixiang Chen, Kai Zhang, Tian Ye, Wenbin Zou, Yunlong Lin, Zhaohu Xing, Jinbin Bai, Wenhao Chai, Lei Zhu, Ritik Maheshwari, Rakshank Verma, Rahul Tekchandani, Praful Hambarde, Satya Narayan Tazi, Santosh Kumar Vipparthi, Subrahmanyam Murala, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Fan Gao, Weidan Yan, Wenze Shao, Dengyin Zhang, Bin Chen, Siqi Zhang, Yanxin Qian, Yuanbin Chen, Yuanbo Zhou, Tong Tong, Rongfeng Wei, Ruiqi Sun, Yue Liu, Nikhil Akalwadi, Amogh Joshi, Sampada Malagi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Adinath Dukre, Vivek Deshmukh, Shruti S. Phutke, Ashutosh Kulkarni, Santosh Kumar Vipparthi, Anil Gonde, Subrahmanyam Murala, Arun karthik K, Manasa N, Shri Hari Priya, Wei Hao, Xingzhuo Yan, Minghan Fu:
NTIRE 2024 Image Shadow Removal Challenge Report. CVPR Workshops 2024: 6547-6570
[c310]
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Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C, Xingzhuo Yan, Wei Hao, Minghan Fu, Pooja Choksy, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Hailong Yan, Yunkai Zhang, Baiang Li, Jingyi Zhang, Huan Zheng:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CVPR Workshops 2024: 6571-6594
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Bin Ren, Yawei Li, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, Zhengjun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Qian Wang, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Emad Barsoum, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo Wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, Yuhan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long, Chunjiang Duanmu, Xiaoyan Lei, Jie Liu, Weilin Jia, Weifeng Cao, Wenlong Zhang, Yanyu Mao, Ruilong Guo, Nihao Zhang, Qian Wang, Manoj Pandey, Maksym Chernozhukov, Giang Le, Shuli Cheng, Hongyuan Wang, Ziyan Wei, Qingting Tang, Liejun Wang, Yongming Li, Yanhui Guo, Hao Xu, Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi:
The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report. CVPR Workshops 2024: 6595-6631
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Jie Liang, Radu Timofte, Qiaosi Yi, Shuaizheng Liu, Lingchen Sun, Rongyuan Wu, Xindong Zhang, Hui Zeng, Lei Zhang, Yibin Huang, Shuai Liu, Yongqiang Li, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yuxiang Chen, Xiangyu Chen, Qiubo Chen, Fengyu Sun, Mengying Cui, Jiaxu Chen, Zhenyu Hu, Jingyun Liu, Wenzhuo Ma, Ce Wang, Hanyou Zheng, Wanjie Sun, Zhenzhong Chen, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiong Dun, Pengzhou Ji, Yujie Xing, Xuquan Wang, Zhanshan Wang, Xinbin Cheng, Jun Xiao, Chenhang He, Xiuyuan Wang, Zhi-Song Liu, Zimeng Miao, Zhicun Yin, Ming Liu, Wangmeng Zuo, Shuai Li:
NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge. CVPR Workshops 2024: 6632-6640
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Egor I. Ershov, Artyom Panshin, Oleg Karasev, Sergey Korchagin, Shepelev Lev, Alexandr Startsev, Daniil Vladimirov, Ekaterina Zaychenkova, Nikola Banic, Dmitrii Iarchuk, Maria Efimova, Radu Timofte, Arseniy P. Terekhin:
NTIRE 2024 Challenge on Night Photography Rendering. CVPR Workshops 2024: 6702-6711
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Nicolas Chahine, Marcos V. Conde, Daniela Carfora, Gabriel Pacianotto, Benoit Pochon, Sira Ferradans, Radu Timofte, Zhichao Duan, Xinrui Xu, Yipo Huang, Quan Yuan, Xiangfei Sheng, Zhichao Yang, Leida Li, Haotian Fan, Fangyuan Kong, Yifang Xu, Wei Sun, Weixia Zhang, Yanwei Jiang, Haoning Wu, Zicheng Zhang, Jun Jia, Yingjie Zhou, Zhongpeng Ji, Xiongkuo Min, Weisi Lin, Guangtao Zhai, Xiaoqi Wang, Junqi Liu, Zixi Guo, Yun Zhang, Zewen Chen, Wen Wang, Juan Wang, Bing Li, Zhichao Duan, Xinrui Xu, Yipo Huang, Quan Yuan, Xiangfei Sheng, Zhichao Yang, Leida Li, Haotian Fan, Fangyuan Kong, Yifang Xu, Wei Sun, Weixia Zhang, Yanwei Jiang, Haoning Wu, Zicheng Zhang, Jun Jia, Yingjie Zhou, Zhongpeng Ji, Xiongkuo Min, Weisi Lin, Guangtao Zhai, Zewen Chen, Wen Wang, Juan Wang, Bing Li, Xiaoqi Wang, Junqi Liu, Zixi Guo, Yun Zhang:
Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Survey. CVPR Workshops 2024: 6732-6744
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Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte, Jianxing Zhang, Jia Li, Fan Wang, Xiaopeng Li, Zikun Liu, Hyunhee Park, Sejun Song, Changho Kim, Zhijuan Huang, Hongyuan Yu, Cheng Wan, Wending Xiang, Jiamin Lin, Hang Zhong, Qiaosong Zhang, Yue Sun, Xuanwu Yin, Kunlong Zuo, Senyan Xu, Siyuan Jiang, Zhijing Sun, Jiaying Zhu, Liangyan Li, Ke Chen, Yunzhe Li, Yimo Ning, Guanhua Zhao, Jun Chen, Jinyang Yu, Kele Xu, Qisheng Xu, Yong Dou:
Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey. CVPR Workshops 2024: 6745-6759
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Zongwei Wu, Jilai Zheng, Xiangxuan Ren, Florin-Alexandru Vasluianu, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
Single-Model and Any-Modality for Video Object Tracking. CVPR 2024: 19156-19166
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Roman Flepp, Andrey Ignatov, Radu Timofte, Luc Van Gool:
Real-World Mobile Image Denoising Dataset with Efficient Baselines. CVPR 2024: 22368-22377
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Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Kai Zhang, Shuang Xu, Dongdong Chen, Radu Timofte, Luc Van Gool:
Equivariant Multi-Modality Image Fusion. CVPR 2024: 25912-25921
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Marcos V. Conde, Gregor Geigle, Radu Timofte:
InstructIR: High-Quality Image Restoration Following Human Instructions. ECCV (36) 2024: 1-21
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Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan:
MoVideo: Motion-Aware Video Generation with Diffusion Model. ECCV (44) 2024: 56-74
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Ziheng Qin, Zhaopan Xu, Yukun Zhou, Zangwei Zheng, Zebang Cheng, Hao Tang, Lei Shang, Baigui Sun, Xiaojiang Peng, Radu Timofte, Hongxun Yao, Kai Wang, Yang You:
Dataset Growth. ECCV (9) 2024: 58-75
[c298]
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Georgy Perevozchikov, Nancy Mehta, Mahmoud Afifi, Radu Timofte:
Rawformer: Unpaired Raw-to-Raw Translation for Learnable Camera ISPs. ECCV (36) 2024: 231-248
[c297]
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Gregor Geigle, Radu Timofte, Goran Glavas:
African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification. EMNLP 2024: 2653-2669
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Gregor Geigle, Radu Timofte, Goran Glavas:
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models? EMNLP 2024: 2728-2742
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Maxime Burchi, Krishna C. Puvvada, Jagadeesh Balam, Boris Ginsburg, Radu Timofte:
Multilingual Audio-Visual Speech Recognition with Hybrid CTC/RNN-T Fast Conformer. ICASSP 2024: 10211-10215
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool:
Stereo Risk: A Continuous Modeling Approach to Stereo Matching. ICML 2024
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Eduard Zamfir, Zongwei Wu, Nancy Mehta, Yulun Zhang, Radu Timofte:
See More Details: Efficient Image Super-Resolution by Experts Mining. ICML 2024
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Vukasin Bozic, Abdelaziz Djelouah, Yang Zhang, Radu Timofte, Markus Gross, Christopher Schroers:
Versatile Vision Foundation Model for Image and Video Colorization. SIGGRAPH (Conference Paper Track) 2024: 94
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Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte:
BSRAW: Improving Blind RAW Image Super-Resolution. WACV 2024: 8485-8495
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Marcos V. Conde, Gregor Geigle, Radu Timofte:
High-Quality Image Restoration Following Human Instructions. CoRR abs/2401.16468 (2024)
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Eduard Zamfir, Zongwei Wu, Nancy Mehta, Yulun Zhang, Radu Timofte:
See More Details: Efficient Image Super-Resolution by Experts Mining. CoRR abs/2402.03412 (2024)
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Xiaoning Liu, Ao Li, Zongwei Wu, Yapeng Du, Le Zhang, Yulun Zhang, Radu Timofte, Ce Zhu:
PASTA: Towards Flexible and Efficient HDR Imaging Via Progressively Aggregated Spatio-Temporal Aligment. CoRR abs/2403.10376 (2024)
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Guillaume Thiry, Hao Tang, Radu Timofte, Luc Van Gool:
Towards Online Real-Time Memory-based Video Inpainting Transformers. CoRR abs/2403.16161 (2024)
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Florin-Alexandru Vasluianu, Tim Seizinger, Zongwei Wu, Rakesh Ranjan, Radu Timofte:
Towards Image Ambient Lighting Normalization. CoRR abs/2403.18730 (2024)
[i244]
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Juan Wen, Yawei Li, Chao Zhang, Weiyan Hou, Radu Timofte, Luc Van Gool:
Empowering Image Recovery_ A Multi-Attention Approach. CoRR abs/2404.04617 (2024)
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Dmitry Ignatov, Andrey Ignatov, Radu Timofte:
Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation? CoRR abs/2404.09469 (2024)
[i242]
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Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel:
NTIRE 2024 Challenge on Image Super-Resolution (⨉4): Methods and Results. CoRR abs/2404.09790 (2024)
[i241]
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Bin Ren, Yawei Li, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, Zhengjun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Qian Wang, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Emad Barsoum, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo Wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, Yuhan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long:
The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report. CoRR abs/2404.10343 (2024)
[i240]
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Georgy Perevozchikov, Nancy Mehta, Mahmoud Afifi, Radu Timofte:
Rawformer: Unpaired Raw-to-Raw Translation for Learnable Camera ISPs. CoRR abs/2404.10700 (2024)
[i239]
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  - journals/corr/abs-2404-11159
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Nicolas Chahine, Marcos V. Conde, Daniela Carfora, Gabriel Pacianotto, Benoit Pochon, Sira Ferradans, Radu Timofte:
Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Survey. CoRR abs/2404.11159 (2024)
[i238]
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Xin Li, Kun Yuan, Yajing Pei, Yiting Lu, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Wei Sun, Haoning Wu, Zicheng Zhang, Jun Jia, Zhichao Zhang, Linhan Cao, Qiubo Chen, Xiongkuo Min, Weisi Lin, Guangtao Zhai, Jian Sun, Tianyi Wang, Lei Li, Han Kong, Wenxuan Wang, Bing Li, Cheng Luo, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Fangyuan Kong, Haotian Fan, Yifang Xu, Haoran Xu, Mengduo Yang, Jie Zhou, Jiaze Li, Shijie Wen, Mai Xu, Da Li, Shunyu Yao, Jiazhi Du, Wangmeng Zuo, Zhibo Li, Shuai He, Anlong Ming, Huiyuan Fu, Huadong Ma, Yong Wu, Fie Xue, Guozhi Zhao, Lina Du, Jie Guo, Yu Zhang, Huimin Zheng, Junhao Chen, Yue Liu, Dulan Zhou, Kele Xu, Qisheng Xu, Tao Sun, Zhixiang Ding, Yuhang Hu:
NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results. CoRR abs/2404.11313 (2024)
[i237]
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Omar Elezabi, Marcos V. Conde, Radu Timofte:
Simple Image Signal Processing using Global Context Guidance. CoRR abs/2404.11569 (2024)
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  - journals/corr/abs-2404-11770
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Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-Chii Liu, Qinyu Chen, Zhengjun Zha, Wei Zhai, Han Han, Bohao Liao, Yuliang Wu, Zengyu Wan, Zhong Wang, Yang Cao, Ganchao Tan, Jinze Chen, Yan Ru Pei, Sasskia Brüers, Sébastien M. Crouzet, Douglas McLelland, Olivier Coenen, Baoheng Zhang, Yizhao Gao, Jingyuan Li, Hayden Kwok-Hay So, Philippe Bich, Chiara Boretti, Luciano Prono, Mircea Lica, David Dinucu-Jianu, Catalin Grîu, Xiaopeng Lin, Hongwei Ren, Bojun Cheng, Xinan Zhang, Valentin Vial, Anthony Yezzi, James Tsai:
Event-Based Eye Tracking. AIS 2024 Challenge Survey. CoRR abs/2404.11770 (2024)
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Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CoRR abs/2404.14248 (2024)
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Marcos V. Conde, Saman Zadtootaghaj, Nabajeet Barman, Radu Timofte, Chenlong He, Qi Zheng, Ruoxi Zhu, Zhengzhong Tu, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Zicheng Zhang, Haoning Wu, Yingjie Zhou, Chunyi Li, Xiaohong Liu, Weisi Lin, Guangtao Zhai, Wei Sun, Yuqin Cao, Yanwei Jiang, Jun Jia, Zhichao Zhang, Zijian Chen, Weixia Zhang, Xiongkuo Min, Steve Göring, Zihao Qi, Chen Feng:
AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results. CoRR abs/2404.16205 (2024)
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  - journals/corr/abs-2404-16223
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Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte, Jianxing Zhang, Jia Li, Fan Wang, Xiaopeng Li, Zikun Liu, Hyunhee Park, Sejun Song, Changho Kim, Zhijuan Huang, Hongyuan Yu, Cheng Wan, Wending Xiang, Jiamin Lin, Hang Zhong, Qiaosong Zhang, Yue Sun, Xuanwu Yin, Kunlong Zuo, Senyan Xu, Siyuan Jiang, Zhijing Sun, Jiaying Zhu, Liangyan Li, Ke Chen, Yunzhe Li, Yimo Ning, Guanhua Zhao, Jun Chen, Jinyang Yu, Kele Xu, Qisheng Xu, Yong Dou:
Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey. CoRR abs/2404.16223 (2024)
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  - journals/corr/abs-2404-16484
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Marcos V. Conde, Zhijun Lei, Wen Li, Cosmin Stejerean, Ioannis Katsavounidis, Radu Timofte, Kihwan Yoon, Ganzorig Gankhuyag, Jiangtao Lv, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhiyuan Li, Hao Wei, Chenyang Ge, Dongyang Zhang, Tianle Liu, Huaian Chen, Yi Jin, Menghan Zhou, Yiqiang Yan, Si Gao, Biao Wu, Shaoli Liu, Chengjian Zheng, Diankai Zhang, Ning Wang, Xintao Qiu, Yuanbo Zhou, Kongxian Wu, Xinwei Dai, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Jae-Hyeon Lee, Ui-Jin Choi, Min Yan, Xin Liu, Qian Wang, Xiaoqian Ye, Zhan Du, Tiansen Zhang, Long Peng, Jiaming Guo, Xin Di, Bohao Liao, Zhibo Du, Peize Xia, Renjing Pei, Yang Wang, Yang Cao, Zhengjun Zha, Bingnan Han, Hongyuan Yu, Zhuoyuan Wu, Cheng Wan, Yuqing Liu, Haodong Yu, Jizhe Li, Zhijuan Huang, Yuan Huang, Yajun Zou, Xianyu Guan, Qi Jia, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Hyeon-Cheol Moon, Tae Hyun Jeong, Yoonmo Yang, Jae-Gon Kim, Jinwoo Jeong, Sunjei Kim:
Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey. CoRR abs/2404.16484 (2024)
[i231]
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Xiaohong Liu, Xiongkuo Min, Guangtao Zhai, Chunyi Li, Tengchuan Kou, Wei Sun, Haoning Wu, Yixuan Gao, Yuqin Cao, Zicheng Zhang, Xiele Wu, Radu Timofte, Fei Peng, Huiyuan Fu, Anlong Ming, Chuanming Wang, Huadong Ma, Shuai He, Zifei Dou, Shu Chen, Huacong Zhang, Haiyi Xie, Chengwei Wang, Baoying Chen, Jishen Zeng, Jianquan Yang, Weigang Wang, Xi Fang, Xiaoxin Lv, Jun Yan, Tianwu Zhi, Yabin Zhang, Yaohui Li, Yang Li, Jingwen Xu, Jianzhao Liu, Yiting Liao, Junlin Li, Zihao Yu, Yiting Lu, Xin Li, Hossein Motamednia, S. Farhad Hosseini-Benvidi, Fengbin Guan, Ahmad Mahmoudi-Aznaveh, Azadeh Mansouri, Ganzorig Gankhuyag, Kihwan Yoon, Yifang Xu, Haotian Fan, Fangyuan Kong, Shiling Zhao, Weifeng Dong, Haibing Yin, Li Zhu, Zhiling Wang, Bingchen Huang, Avinab Saha, Sandeep Mishra, Shashank Gupta, Rajesh Sureddi, Oindrila Saha, Luigi Celona, Simone Bianco, Paolo Napoletano, Raimondo Schettini, Junfeng Yang, Jing Fu, Wei Zhang, Wenzhi Cao, Limei Liu, Han Peng, Weijun Yuan, Zhan Li, Yihang Cheng, Yifan Deng, Haohui Li, Bowen Qu, Yao Li, Shuqing Luo, Shunzhou Wang, Wei Gao, Zihao Lu, Marcos V. Conde, Xinrui Wang, Zhibo Chen, Ruling Liao, Yan Ye, Qiulin Wang, Bing Li, Zhaokun Zhou, Miao Geng, Rui Chen, Xin Tao, Xiaoyu Liang, Shangkun Sun, Xingyuan Ma, Jiaze Li, Mengduo Yang, Haoran Xu:
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. CoRR abs/2404.16687 (2024)
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Yuekun Dai, Dafeng Zhang, Xiaoming Li, Zongsheng Yue, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Peiqing Yang, Zhezhu Jin, Guanqun Liu, Chen Change Loy, Lize Zhang, Shuai Liu, Chaoyu Feng, Luyang Wang, Shuan Chen, Guangqi Shao, Xiaotao Wang, Lei Lei, Qirui Yang, Qihua Cheng, Zhiqiang Xu, Yihao Liu, Huanjing Yue, Jingyu Yang, Florin-Alexandru Vasluianu, Zongwei Wu, George Ciubotariu, Radu Timofte, Zhao Zhang, Suiyi Zhao, Bo Wang, Zhichao Zuo, Yanyan Wei, Kuppa Sai Sri Teja, Jayakar Reddy A, Girish Rongali, Kaushik Mitra, Zhihao Ma, Yongxu Liu, Wanying Zhang, Wei Shang, Yuhong He, Long Peng, Zhongxin Yu, Shaofei Luo, Jian Wang, Yuqi Miao, Baiang Li, Gang Wei, Rakshank Verma, Ritik Maheshwari, Rahul Tekchandani, Praful Hambarde, Satya Narayan Tazi, Santosh Kumar Vipparthi, Subrahmanyam Murala, Haopeng Zhang, Yingli Hou, Mingde Yao, Levin M. S, Aniruth Sundararajan, Hari Kumar A:
MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results. CoRR abs/2404.19534 (2024)
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  - journals/corr/abs-2405-09923
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Jie Liang, Radu Timofte, Qiaosi Yi, Shuaizheng Liu, Lingchen Sun, Rongyuan Wu, Xindong Zhang, Hui Zeng, Lei Zhang:
NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge. CoRR abs/2405.09923 (2024)
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  - journals/corr/abs-2405-12983
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Maxime Burchi, Krishna C. Puvvada, Jagadeesh Balam, Boris Ginsburg, Radu Timofte:
Multilingual Audio-Visual Speech Recognition with Hybrid CTC/RNN-T Fast Conformer. CoRR abs/2405.12983 (2024)
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Maxime Burchi, Radu Timofte:
MuDreamer: Learning Predictive World Models without Reconstruction. CoRR abs/2405.15083 (2024)
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Eduard Zamfir, Zongwei Wu, Nancy Mehta, Danda Pani Paudel, Yulun Zhang, Radu Timofte:
Efficient Degradation-aware Any Image Restoration. CoRR abs/2405.15475 (2024)
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  - journals/corr/abs-2405-17773
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Yuedong Tan, Zongwei Wu, Yuqian Fu, Zhuyun Zhou, Guolei Sun, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
Towards a Generalist and Blind RGB-X Tracker. CoRR abs/2405.17773 (2024)
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Ziheng Qin, Zhaopan Xu, Yukun Zhou, Zangwei Zheng, Zebang Cheng, Hao Tang, Lei Shang, Baigui Sun, Xiaojiang Peng, Radu Timofte, Hongxun Yao, Kai Wang, Yang You:
Dataset Growth. CoRR abs/2405.18347 (2024)
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  - journals/corr/abs-2406-13007
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Egor I. Ershov, Artyom Panshin, Oleg Karasev, Sergey Korchagin, Shepelev Lev, Alexandr Startsev, Daniil Vladimirov, Ekaterina Zaychenkova, Nikola Banic, Dmitrii Iarchuk, Maria Efimova, Radu Timofte, Arseniy P. Terekhin, Shuwei Yue, Yuyang Liu, Minchen Wei, Lu Xu, Chao Zhang, Yasi Wang, Furkan Kinli, Doga Yilmaz, Baris Özcan, Furkan Kiraç, Shuai Liu, Jingyuan Xiao, Chaoyu Feng, Hao Wang, Guangqi Shao, Yuqian Zhang, Yibin Huang, Wei Luo, Liming Wang, Xiaotao Wang, Lei Lei, Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Jin Guo, Tianli Liu, Mohao Wu, Ben Shao, Qirui Yang, Xianghui Li, Qihua Cheng, Fangpu Zhang, Zhiqiang Xu, Jingyu Yang, Huanjing Yue:
NTIRE 2024 Challenge on Night Photography Rendering. CoRR abs/2406.13007 (2024)
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  - journals/corr/abs-2406-14492
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Gregor Geigle, Radu Timofte, Goran Glavas:
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models? CoRR abs/2406.14492 (2024)
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Gregor Geigle, Radu Timofte, Goran Glavas:
African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification. CoRR abs/2406.14496 (2024)
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  - journals/corr/abs-2407-03152
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool:
Stereo Risk: A Continuous Modeling Approach to Stereo Matching. CoRR abs/2407.03152 (2024)
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  - journals/corr/abs-2407-13372
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Bin Ren, Eduard Zamfir, Yawei Li, Zongwei Wu, Danda Pani Paudel, Radu Timofte, Nicu Sebe, Luc Van Gool:
Any Image Restoration with Efficient Automatic Degradation Adaptation. CoRR abs/2407.13372 (2024)
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  - journals/corr/abs-2407-18695
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Sohyeong Kim, Martin Danelljan, Radu Timofte, Luc Van Gool, Jean-Philippe Thiran:
PIV3CAMS: a multi-camera dataset for multiple computer vision problems and its application to novel view-point synthesis. CoRR abs/2407.18695 (2024)
[i217]
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  - journals/corr/abs-2408-11982
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Maksim Smirnov, Aleksandr Gushchin, Anastasia Antsiferova, Dmitriy S. Vatolin, Radu Timofte, Ziheng Jia, Zicheng Zhang, Wei Sun, Jiaying Qian, Yuqin Cao, Yinan Sun, Yuxin Zhu, Xiongkuo Min, Guangtao Zhai, Kanjar De, Qing Luo, Ao-Xiang Zhang, Peng Zhang, Haibo Lei, Linyan Jiang, Yaqing Li, Wenhui Meng, Xiaoheng Tan, Haiqiang Wang, Xiaozhong Xu, Shan Liu, Zhenzhong Chen, Zhengxue Cheng, Jiahao Xiao, Jun Xu, Chenlong He, Qi Zheng, Ruoxi Zhu, Min Li, Yibo Fan, Zhengzhong Tu:
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results. CoRR abs/2408.11982 (2024)
[i216]
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  - journals/corr/abs-2409-14827
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Andrey Moskalenko, Alexey Bryncev, Dmitriy S. Vatolin, Radu Timofte, Gen Zhan, Li Yang, Yunlong Tang, Yiting Liao, Jiongzhi Lin, Baitao Huang, Morteza Moradi, Mohammad Moradi, Francesco Rundo, Concetto Spampinato, Ali Borji, Simone Palazzo, Yuxin Zhu, Yinan Sun, Huiyu Duan, Yuqin Cao, Ziheng Jia, Qiang Hu, Xiongkuo Min, Guangtao Zhai, Hao Fang, Runmin Cong, Xiankai Lu, Xiaofei Zhou, Wei Zhang, Chunyu Zhao, Wentao Mu, Tao Deng, Hamed R. Tavakoli:
AIM 2024 Challenge on Video Saliency Prediction: Methods and Results. CoRR abs/2409.14827 (2024)
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Michal Nazarczuk, Thomas Tanay, Sibi Catley-Chandar, Richard Shaw, Radu Timofte, Eduardo Pérez-Pellitero:
AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark. CoRR abs/2409.15041 (2024)
[i214]
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  - journals/corr/abs-2409-15045
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Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay, Richard Shaw, Eduardo Pérez-Pellitero, Radu Timofte, Xing Yan, Pan Wang, Yali Guo, Yongxin Wu, Youcheng Cai, Yanan Yang, Junting Li, Yanghong Zhou, P. Y. Mok, Zongqi He, Zhe Xiao, Kin-Chung Chan, Hana Lebeta Goshu, Cuixin Yang, Rongkang Dong, Jun Xiao, Kin-Man Lam, Jiayao Hao, Qiong Gao, Yanyan Zu, Junpei Zhang, Licheng Jiao, Xu Liu, Kuldeep Purohit:
AIM 2024 Sparse Neural Rendering Challenge: Methods and Results. CoRR abs/2409.15045 (2024)
[i213]
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  - journals/corr/abs-2409-16271
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Vlad Hosu, Marcos V. Conde, Lorenzo Agnolucci, Nabajeet Barman, Saman Zadtootaghaj, Radu Timofte:
AIM 2024 Challenge on UHD Blind Photo Quality Assessment. CoRR abs/2409.16271 (2024)
[i212]
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  - journals/corr/abs-2409-16277
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Marcos V. Conde, Florin-Alexandru Vasluianu, Jinhui Xiong, Wei Ye, Rakesh Ranjan, Radu Timofte:
Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results. CoRR abs/2409.16277 (2024)
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  - journals/corr/abs-2409-16947
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Longguang Wang, Yulan Guo, Juncheng Li, Hongda Liu, Yang Zhao, Yingqian Wang, Zhi Jin, Shuhang Gu, Radu Timofte:
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results. CoRR abs/2409.16947 (2024)
[i210]
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Marcos V. Conde, Andy Bigos, Radu Timofte:
Streaming Neural Images. CoRR abs/2409.17134 (2024)
[i209]
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Marcos V. Conde, Zhijun Lei, Wen Li, Christos G. Bampis, Ioannis Katsavounidis, Radu Timofte:
AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content. CoRR abs/2409.17256 (2024)
[i208]
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Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte:
Toward Efficient Deep Blind RAW Image Restoration. CoRR abs/2409.18204 (2024)
[i207]
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  - journals/corr/abs-2409-19356
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Zhuyun Zhou, Zongwei Wu, Florian Bolli, Rémi Boutteau, Fan Yang, Radu Timofte, Dominique Ginhac, Tobi Delbruck:
Steering Prediction via a Multi-Sensor System for Autonomous Racing. CoRR abs/2409.19356 (2024)
[i206]
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Ivan Molodetskikh, Artem Borisov, Dmitriy S. Vatolin, Radu Timofte, Jianzhao Liu, Tianwu Zhi, Yabin Zhang, Yang Li, Jingwen Xu, Yiting Liao, Qing Luo, Ao-Xiang Zhang, Peng Zhang, Haibo Lei, Linyan Jiang, Yaqing Li, Yuqin Cao, Wei Sun, Weixia Zhang, Yinan Sun, Ziheng Jia, Yuxin Zhu, Xiongkuo Min, Guangtao Zhai, Weihua Luo, Yupeng Z., Hong Y:
AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results. CoRR abs/2410.04225 (2024)
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Omar Elezabi, Zongwei Wu, Radu Timofte:
Enhanced Super-Resolution Training via Mimicked Alignment for Real-World Scenes. CoRR abs/2410.05410 (2024)
2023
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Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Deng-Ping Fan, Radu Timofte, Luc Van Gool:
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis. Mach. Intell. Res. 20(6): 822-836 (2023)
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Dario Fuoli, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement. Int. J. Comput. Vis. 131(4): 1042-1059 (2023)
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Prune Truong, Martin Danelljan, Radu Timofte, Luc Van Gool:
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10247-10266 (2023)
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Ren Yang, Radu Timofte, Luc Van Gool:
Advancing Learned Video Compression With In-Loop Frame Prediction. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2410-2423 (2023)
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Xin Deng, Yufan Deng, Ren Yang, Wenzhe Yang, Radu Timofte, Mai Xu:
MASIC: Deep Mask Stereo Image Compression. IEEE Trans. Circuits Syst. Video Technol. 33(10): 6026-6040 (2023)
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Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas J. Guibas, Luc Van Gool, Radu Timofte:
3D-Aware Video Generation. Trans. Mach. Learn. Res. 2023 (2023)
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Mu Li, Kai Zhang, Jinxing Li, Wangmeng Zuo, Radu Timofte, David Zhang:
Learning Context-Based Nonlocal Entropy Modeling for Image Compression. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1132-1145 (2023)
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Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool:
Denoising Diffusion Models for Plug-and-Play Image Restoration. CVPR Workshops 2023: 1219-1229
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Andrei Dumitriu, Florin Tatui, Florin Miron, Radu Tudor Ionescu, Radu Timofte:
Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results. CVPR Workshops 2023: 1261-1271
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Yingqian Wang, Longguang Wang, Zhengyu Liang, Jungang Yang, Radu Timofte, Yulan Guo, Kai Jin, Zeqiang Wei, Angulia Yang, Sha Guo, Mingzhi Gao, Xiuzhuang Zhou, Vinh Van Duong, Thuc Nguyen Huu, Jonghoon Yim, Byeungwoo Jeon, Yutong Liu, Zhen Cheng, Zeyu Xiao, Ruikang Xu, Zhiwei Xiong, Gaosheng Liu, Manchang Jin, Huanjing Yue, Jingyu Yang, Chen Gao, Shuo Zhang, Song Chang, Youfang Lin, Wentao Chao, Xuechun Wang, Guanghui Wang, Fuqing Duan, Wang Xia, Yan Wang, Peiqi Xia, Shunzhou Wang, Yao Lu, Ruixuan Cong, Hao Sheng, Da Yang, Rongshan Chen, Sizhe Wang, Zhenglong Cui, Yilei Chen, Yongjie Lu, Dongjun Cai, Ping An, Ahmed Salem, Hatem Ibrahem, Bilel Yagoub, Hyun Soo Kang, Zekai Zeng, Heng Wu:
NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results. CVPR Workshops 2023: 1320-1335
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Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Shijie Zhao, Xuhan Sheng, Yukang Ding, Ming Sun, Xing Wen, Dafeng Zhang, Jia Li, Fan Wang, Zheng Xie, Zongyao He, Zidian Qiu, Zilin Pan, Zhihao Zhan, Xingyuan Xian, Zhi Jin, Yuanbo Zhou, Wei Deng, Ruofeng Nie, Jiajun Zhang, Qinquan Gao, Tong Tong, Kexin Zhang, Junpei Zhang, Rui Peng, Yanbiao Ma, Licheng Jiao, Haoran Bai, Lingshun Kong, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Pu Cao, Tianrui Huang, Lu Yang, Qing Song, Bingxin Chen, Chunhua He, Meiyun Chen, Zijie Guo, Shaojuan Luo, Chengzhi Cao, Kunyu Wang, Fanrui Zhang, Qiang Zhang, Nancy Mehta, Subrahmanyam Murala, Akshay Dudhane, Yujin Wang, Lingen Li, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Junyang Chen, Hao Li, Yukai Shi, Zhijing Yang, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan, Hongxia Gao, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Jingxiang Chen, Bo Yang, XiSheryl Zhang, Chenghua Li, Weijun Yuan, Zhan Li, Ruting Deng, Jintao Zeng, Pulkit Mahajan, Sahaj Mistry, Shreyas Chatterjee, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Zhao Zhang, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Bo Wang, Gen Li, Aijin Li, Lei Sun, Ke Chen, Congling Tang, Yunzhe Li, Jun Chen, Yuan-Chun Chiang, Yi-Chung Chen, Zhi-Kai Huang, Hao-Hsiang Yang, I-Hsiang Chen, Sy-Yen Kuo, Yiheng Wang, Gang Zhu, Xingyi Yang, Songhua Liu, Yongcheng Jing, Xingyu Hu, Jianwen Song, Changming Sun, Arcot Sowmya, Seung Ho Park, Xiaoyan Lei, Jingchao Wang, Chenbo Zhai, Yufei Zhang, Weifeng Cao, Wenlong Zhang:
NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2023: 1346-1372
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Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Jun Shi, Dafeng Zhang, Yong A, Yixiang Jin, Dingzhe Li, Chao Li, Zhiwen Liu, Qi Zhang, Yixing Wang, Shi Yin:
NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CVPR Workshops 2023: 1384-1395
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Marcos V. Conde, Eduard Zamfir, Radu Timofte, Daniel Motilla, Cen Liu, Zexin Zhang, Yunbo Peng, Yue Lin, Jiaming Guo, Xueyi Zou, Yuyi Chen, Yi Liu, Jia Hao, Youliang Yan, Yuanfan Zhang, Gen Li, Lei Sun, Lingshun Kong, Haoran Bai, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Long Sun, Zibin Liu, Weiran Gou, Shaoqing Li, Ziyao Yi, Yan Xiang, Dehui Kong, Ke Xu, Ganzorig Gankhuyag, Kihwan Yoon, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Zhou Zhou, Jiahao Chao, Hongfan Gao, Jiali Gong, Zhengfeng Yang, Zhenbing Zeng, Chengpeng Chen, Zichao Guo, Anjin Park, Yuqing Liu, Qi Jia, Hongyuan Yu, Xuanwu Yin, Dongyang Zhang, Ting Fu, Zhengxue Cheng, Shiai Zhu, Dajiang Zhou, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Ben Shao, Shaolong Zheng, Daheng Yin, Baijun Chen, Mengyang Liu, Marian-Sergiu Nistor, Yi-Chung Chen, Zhi-Kai Huang, Yuan-Chun Chiang, Wei-Ting Chen, Hao-Hsiang Yang, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Tu Vo, Qingsen Yan, Yun Zhu, Jinqiu Su, Yanning Zhang, Cheng Zhang, Jiaying Luo, Youngsun Cho, Nakyung Lee, Kunlong Zuo:
Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report. CVPR Workshops 2023: 1495-1521
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Eduard Zamfir, Marcos V. Conde, Radu Timofte:
Towards Real-Time 4K Image Super-Resolution. CVPR Workshops 2023: 1522-1532
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Xiaohong Liu, Xiongkuo Min, Wei Sun, Yulun Zhang, Kai Zhang, Radu Timofte, Guangtao Zhai, Yixuan Gao, Yuqin Cao, Tengchuan Kou, Yunlong Dong, Ziheng Jia, Yilin Li, Kai Zhao, Heng Cong, Hang Shi, Zhiliang Ma, Mirko Agarla, Zhiwei Huang, Hongye Liu, Ironhead Chuang, Haotian Fan, Shiqi Zhou, Yu Lai, Wenqi Wang, Haoning Wu, Chunzheng Zhu, Shiling Zhao, Hanene Brachemi Meftah, Tengfei Shi, Azadeh Mansouri:
NTIRE 2023 Quality Assessment of Video Enhancement Challenge. CVPR Workshops 2023: 1551-1569
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Xiaoyang Kang, Xianhui Lin, Kai Zhang, Zheng Hui, Wangmeng Xiang, Jun-Yan He, Xiaoming Li, Peiran Ren, Xuansong Xie, Radu Timofte, Yixin Yang, Jinshan Pan, Zhong Zheng, Peng Qiyan, Jiangxin Zhang, Jinhui Dong, Jinjing Tan, Chi-Chen Lin, Lin Qipei Li, Qirong Liang, Ruipeng Gang, Xiaofeng Liu, Shuang Feng, Shuai Liu, Hao Wang, Chaoyu Feng, Furui Bai, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Siqi Chen, Yu Zhang, Hanning Xu, Zheyuan Liu, Zhao Zhang, Yan Luo, Zhichao Zuo:
NTIRE 2023 Video Colorization Challenge. CVPR Workshops 2023: 1570-1581
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Tim Seizinger, Marcos V. Conde, Manuel Kolmet, Tom E. Bishop, Radu Timofte:
Efficient Multi-Lens Bokeh Effect Rendering and Transformation. CVPR Workshops 2023: 1633-1642
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Marcos V. Conde, Manuel Kolmet, Tim Seizinger, Tom E. Bishop, Radu Timofte, Xiangyu Kong, Dafeng Zhang, Jinlong Wu, Fan Wang, Juewen Peng, Zhiyu Pan, Chengxin Liu, Xianrui Luo, Huiqiang Sun, Liao Shen, Zhiguo Cao, Ke Xian, Chaowei Liu, Zigeng Chen, Xingyi Yang, Songhua Liu, Yongcheng Jing, Michael Bi Mi, Xinchao Wang, Zhihao Yang, Wenyi Lian, Siyuan Lai, Haichuan Zhang, Trung Hoang, Amirsaeed Yazdani, Vishal Monga, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Yuxuan Zhao, Baoliang Chen, Yiqing Xu, JiXiangNiu:
Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. CVPR Workshops 2023: 1643-1659
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Mingdeng Cao, Chong Mou, Fanghua Yu, Xintao Wang, Yinqiang Zheng, Jian Zhang, Chao Dong, Gen Li, Ying Shan, Radu Timofte, Xiaopeng Sun, Weiqi Li, Zhenyu Zhang, Xuhan Sheng, Bin Chen, Haoyu Ma, Ming Cheng, Shijie Zhao, Wanwan Cui, Tianyu Xu, Chunyang Li, Long Bao, Heng Sun, Huaibo Huang, Xiaoqiang Zhou, Yuang Ai, Ran He, Renlong Wu, Yi Yang, Zhilu Zhang, Shuohao Zhang, Junyi Li, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qian Wang, Hao-Hsiang Yang, Yi-Chung Chen, Zhi-Kai Huang, Wei-Ting Chen, Yuan-Chun Chiang, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Zebin Zhang, Jiaqi Zhang, Yuhui Wang, Shuhao Cui, Junshi Huang, Li Zhu, Shuman Tian, Wei Yu, Bingchun Luo:
NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution: Datasets, Methods and Results. CVPR Workshops 2023: 1731-1745
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Yawei Li, Kai Zhang, Jingyun Liang, Jiezhang Cao, Ce Liu, Rui Gong, Yulun Zhang, Hao Tang, Yun Liu, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
LSDIR: A Large Scale Dataset for Image Restoration. CVPR Workshops 2023: 1775-1787
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Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xianwei Li, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, Md Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia:
NTIRE 2023 Image Shadow Removal Challenge Report. CVPR Workshops 2023: 1788-1807
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Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CVPR 2023: 1796-1807
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Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li, Tian Qiu, Yu He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. CVPR Workshops 2023: 1808-1825
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Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte:
WSRD: A Novel Benchmark for High Resolution Image Shadow Removal. CVPR Workshops 2023: 1826-1835
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Yulun Zhang, Kai Zhang, Zheng Chen, Yawei Li, Radu Timofte, Junpei Zhang, Kexin Zhang, Rui Peng, Yanbiao Ma, Licheng Jia, Huaibo Huang, Xiaoqiang Zhou, Yuang Ai, Ran He, Yajun Qiu, Qiang Zhu, Pengfei Li, Qianhui Li, Shuyuan Zhu, Dafeng Zhang, Jia Li, Fan Wang, Chunmiao Li, TaeHyung Kim, Jungkeong Kil, Eon Kim, Yeonseung Yu, Beomyeol Lee, Subin Lee, Seokjae Lim, Somi Chae, Heungjun Choi, Zhi-Kai Huang, YiChung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Ui-Jin Choi, Marcos V. Conde, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Jiayu Wei, Yanfeng Li, Jia Sun, Zhanyi Cheng, Zhiyuan Li, Xu Yao, Xinyi Wang, Danxu Li, Xuan Cui, Jun Cao, Cheng Li, Jianbin Zheng, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results. CVPR Workshops 2023: 1865-1884
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Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, Hailing Wang, Hanting Chen, Wei Li, Xiaofei Wang, Jie Hu, Yunhe Wang, Xiangyu Kong, Jinlong Wu, Dafeng Zhang, Jianxing Zhang, Shuai Liu, Furui Bai, Chaoyu Feng, Hao Wang, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Rongjian Xu, Zhilu Zhang, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qi Wu, Mingyan Han, Shen Cheng, Haipeng Li, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Jinting Luo, Wenjie Lin, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Aditya Arora, Syed Waqas Zamir, Javier Vazquez-Corral, Konstantinos G. Derpanis, Michael S. Brown, Hao Li, Zhihao Zhao, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bo Yang, Jingxiang Chen, Chenghua Li, Xi Zhang, Zhao Zhang, Jiahuan Ren, Zhicheng Ji, Kang Miao, Suiyi Zhao, Huan Zheng, Yanyan Wei, Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin, Rajeev Irny, Sriharsha Koundinya, Vighnesh Kamath, Gaurav Khandelwal, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Shijie Chen, Chengqiang Zhao, Huabin Yang, Zhongjian Zhang, Junjia Huang, Yanru Zhang:
NTIRE 2023 Challenge on Image Denoising: Methods and Results. CVPR Workshops 2023: 1905-1921
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Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang:
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2023: 1922-1960
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Alina Shutova, Egor I. Ershov, Georgy Perevozchikov, Ivan Ermakov, Nikola Banic, Radu Timofte, Richard Collins, Maria Efimova, Arseniy P. Terekhin, Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Chunxia Lei, Tingniao Wang, Song Wang, Shuai Liu, Chaoyu Feng, Guangqi Shao, Hao Wang, Xiaotao Wang, Lei Lei, Lu Xu, Chao Zhang, Yasi Wang, Jin Guo, Yangfan Sun, Tianli Liu, Hao Dejun, Furkan Kinli, Baris Özcan, Furkan Kiraç, Hyerin Chung, Nakyung Lee, Sungkeun Kwak, Marcos V. Conde, Tim Seizinger, Florin-Alexandru Vasluianu, Omar Elezabi, Chia-Hsuan Hsieh, Wei-Ting Chen, Hao-Hsiang Yang, Zhi-Kai Huang, Hua-En Chang, I-Hsiang Chen, Yi-Chung Chen, Yuan-Chun Chiang:
NTIRE 2023 Challenge on Night Photography Rendering. CVPR Workshops 2023: 1982-1993
[c269]
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Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe, Radu Timofte, Luc Van Gool:
Graph Transformer GANs for Graph-Constrained House Generation. CVPR 2023: 2173-2182
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Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, Luc Van Gool:
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. CVPR 2023: 5906-5916
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CVPR 2023: 17346-17356
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Yawei Li, Yuchen Fan, Xiaoyu Xiang, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration. CVPR 2023: 18278-18289
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Sina Mokhtarzadeh Azar, Radu Timofte:
Speeding Up Online Self-Supervised Learning by Exploiting Its Limitations. DAGM 2023: 476-490
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Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cédric Demonceaux, Radu Timofte, Luc Van Gool:
Source-free Depth for Object Pop-out. ICCV 2023: 1032-1042
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Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool:
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion. ICCV 2023: 8048-8059
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Yuanhao Cai, Hao Bian, Jing Lin, Haoqian Wang, Radu Timofte, Yulun Zhang:
Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement. ICCV 2023: 12470-12479
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Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool:
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. ICCV 2023: 12513-12524
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Steven Tel, Zongwei Wu, Yulun Zhang, Barthélémy Heyrman, Cédric Demonceaux, Radu Timofte, Dominique Ginhac:
Alignment-free HDR Deghosting with Semantics Consistent Transformer. ICCV 2023: 12790-12799
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Zilin Fang, Andrey Ignatov, Eduard Zamfir, Radu Timofte:
SQAD: Automatic Smartphone Camera Quality Assessment and Benchmarking. ICCV 2023: 20475-20485
[c258]
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Hao Tang, Xiaojuan Qi, Guolei Sun, Dan Xu, Nicu Sebe, Radu Timofte, Luc Van Gool:
Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis. ICLR 2023
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. ICLR 2023
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Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Basic Binary Convolution Unit for Binarized Image Restoration Network. ICLR 2023
[c255]
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Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution. ICLR 2023
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Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Michele Magno, Luca Benini, Luc Van Gool:
LocalViT: Analyzing Locality in Vision Transformers. IROS 2023: 9598-9605
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Zongwei Wu, Jingjing Wang, Zhuyun Zhou, Zhaochong An, Qiuping Jiang, Cédric Demonceaux, Guolei Sun, Radu Timofte:
Object Segmentation by Mining Cross-Modal Semantics. ACM Multimedia 2023: 3455-3464
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Haoyu Chen, Hao Tang, Radu Timofte, Luc Van Gool, Guoying Zhao:
LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer. NeurIPS 2023
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Dario Fuoli, Martin Danelljan, Radu Timofte, Luc Van Gool:
Fast Online Video Super-Resolution with Deformable Attention Pyramid. WACV 2023: 1735-1744
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Marcos V. Conde, Florin-Alexandru Vasluianu, Javier Vazquez-Corral, Radu Timofte:
Perceptual Image Enhancement for Smartphone Real-Time Applications. WACV 2023: 1848-1858
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Maxime Burchi, Radu Timofte:
Audio-Visual Efficient Conformer for Robust Speech Recognition. WACV 2023: 2257-2266
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Maxime Burchi, Radu Timofte:
Audio-Visual Efficient Conformer for Robust Speech Recognition. CoRR abs/2301.01456 (2023)
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. CoRR abs/2302.06556 (2023)
[i202]
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Yawei Li, Yuchen Fan, Xiaoyu Xiang, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration. CoRR abs/2303.00748 (2023)
[i201]
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  - journals/corr/abs-2303-06705
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Yuanhao Cai, Hao Bian, Jing Lin, Haoqian Wang, Radu Timofte, Yulun Zhang:
Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement. CoRR abs/2303.06705 (2023)
[i200]
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  - journals/corr/abs-2303-06840
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Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool:
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion. CoRR abs/2303.06840 (2023)
[i199]
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  - journals/corr/abs-2303-08225
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Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe, Radu Timofte, Luc Van Gool:
Graph Transformer GANs for Graph-Constrained House Generation. CoRR abs/2303.08225 (2023)
[i198]
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  - journals/corr/abs-2303-08942
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Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool:
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. CoRR abs/2303.08942 (2023)
[i197]
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  - journals/corr/abs-2303-18164
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CoRR abs/2303.18164 (2023)
[i196]
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  - journals/corr/abs-2304-10415
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Yingqian Wang, Longguang Wang, Zhengyu Liang, Jungang Yang, Radu Timofte, Yulan Guo:
NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results. CoRR abs/2304.10415 (2023)
[i195]
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  - journals/corr/abs-2305-00599
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Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool:
StyleGenes: Discrete and Efficient Latent Distributions for GANs. CoRR abs/2305.00599 (2023)
[i194]
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  - journals/corr/abs-2305-08995
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Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool:
Denoising Diffusion Models for Plug-and-Play Image Restoration. CoRR abs/2305.08995 (2023)
[i193]
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  - journals/corr/abs-2305-10469
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Zongwei Wu, Jingjing Wang, Zhuyun Zhou, Zhaochong An, Qiuping Jiang, Cédric Demonceaux, Guolei Sun, Radu Timofte:
Object Segmentation by Mining Cross-Modal Semantics. CoRR abs/2305.10469 (2023)
[i192]
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  - journals/corr/abs-2305-11443
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Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Kai Zhang, Shuang Xu, Dongdong Chen, Radu Timofte, Luc Van Gool:
Equivariant Multi-Modality Image Fusion. CoRR abs/2305.11443 (2023)
[i191]
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  - journals/corr/abs-2305-18135
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Steven Tel, Zongwei Wu, Yulun Zhang, Barthélémy Heyrman, Cédric Demonceaux, Radu Timofte, Dominique Ginhac:
Alignment-free HDR Deghosting with Semantics Consistent Transformer. CoRR abs/2305.18135 (2023)
[i190]
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  - journals/corr/abs-2306-08658
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Gregor Geigle, Radu Timofte, Goran Glavas:
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations. CoRR abs/2306.08658 (2023)
[i189]
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  - journals/corr/abs-2306-11920
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Marcos V. Conde, Javier Vazquez-Corral, Michael S. Brown, Radu Timofte:
NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement. CoRR abs/2306.11920 (2023)
[i188]
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  - journals/corr/abs-2307-06930
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Gregor Geigle, Abhay Jain, Radu Timofte, Goran Glavas:
mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs. CoRR abs/2307.06930 (2023)
[i187]
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Xiaohong Liu, Xiongkuo Min, Wei Sun, Yulun Zhang, Kai Zhang, Radu Timofte, Guangtao Zhai, Yixuan Gao, Yuqin Cao, Tengchuan Kou, Yunlong Dong, Ziheng Jia, Yilin Li, Wei Wu, Shuming Hu, Sibin Deng, Pengxiang Xiao, Ying Chen, Kai Li, Kai Zhao, Kun Yuan, Ming Sun, Heng Cong, Hao Wang, Lingzhi Fu, Yusheng Zhang, Rongyu Zhang, Hang Shi, Qihang Xu, Longan Xiao, Zhiliang Ma, Mirko Agarla, Luigi Celona, Claudio Rota, Raimondo Schettini, Zhiwei Huang, Yanan Li, Xiaotao Wang, Lei Lei, Hongye Liu, Wei Hong, Ironhead Chuang, Allen Lin, Drake Guan, Iris Chen, Kae Lou, Willy Huang, Yachun Tasi, Yvonne Kao, Haotian Fan, Fangyuan Kong, Shiqi Zhou, Hao Liu, Yu Lai, Shanshan Chen, Wenqi Wang, Haoning Wu, Chaofeng Chen, Chunzheng Zhu, Zekun Guo, Shiling Zhao, Haibing Yin, Hongkui Wang, Hanene Brachemi Meftah, Sid Ahmed Fezza, Wassim Hamidouche, Olivier Déforges, Tengfei Shi, Azadeh Mansouri, Hossein Motamednia, Amir Hossein Bakhtiari, Ahmad Mahmoudi Aznaveh:
NTIRE 2023 Quality Assessment of Video Enhancement Challenge. CoRR abs/2307.09729 (2023)
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Juan Wen, Shupeng Cheng, Peng Xu, Bowen Zhou, Radu Timofte, Weiyan Hou, Luc Van Gool:
When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study. CoRR abs/2308.04370 (2023)
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Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation. CoRR abs/2308.13767 (2023)
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Jonas Brenig, Radu Timofte:
A Study of Forward-Forward Algorithm for Self-Supervised Learning. CoRR abs/2309.11955 (2023)
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Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan:
MoVideo: Motion-Aware Video Generation with Diffusion Models. CoRR abs/2311.11325 (2023)
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Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
Deep Equilibrium Diffusion Restoration with Parallel Sampling. CoRR abs/2311.11600 (2023)
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Zongwei Wu, Jilai Zheng, Xiangxuan Ren, Florin-Alexandru Vasluianu, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
Single-Model and Any-Modality for Video Object Tracking. CoRR abs/2311.15851 (2023)
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Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte:
BSRAW: Improving Blind RAW Image Super-Resolution. CoRR abs/2312.15487 (2023)
2022
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Hongying Liu, Zhubo Ruan, Peng Zhao, Chao Dong, Fanhua Shang, Yuanyuan Liu, Linlin Yang, Radu Timofte:
Video super-resolution based on deep learning: a comprehensive survey. Artif. Intell. Rev. 55(8): 5981-6035 (2022)
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Casian Miron, Alexandru Pasarica, Vasile Manta, Radu Timofte:
Efficient and robust eye images iris segmentation using a lightweight U-net convolutional network. Multim. Tools Appl. 81(11): 14961-14977 (2022)
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Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, Radu Timofte:
Plug-and-Play Image Restoration With Deep Denoiser Prior. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6360-6376 (2022)
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Yitong Xia, Hao Tang, Radu Timofte, Luc Van Gool:
SiNeRF: Sinusoidal Neural Radiance Fields for Joint Pose Estimation and Scene Reconstruction. BMVC 2022: 131
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Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool:
Revisiting Random Channel Pruning for Neural Network Compression. CVPR 2022: 191-201
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Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool:
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. CVPR Workshops 2022: 744-754
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Andreas Lugmayr, Martin Danelljan, Radu Timofte, Kang-Wook Kim, Younggeun Kim, Jae-Young Lee, Zechao Li, Jinshan Pan, Dongseok Shim, Ki-Ung Song, Jinhui Tang, Cong Wang, Zhihao Zhao:
NTIRE 2022 Challenge on Learning the Super-Resolution Space. CVPR Workshops 2022: 785-796
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Andrés Romero, Luc Van Gool, Radu Timofte:
Unpaired Real-World Super-Resolution with Pseudo Controllable Restoration. CVPR Workshops 2022: 797-806
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Daniel Wirzberger Raimundo, Andrey Ignatov, Radu Timofte:
LAN: Lightweight Attention-based Network for RAW-to-RGB Smartphone Image Processing. CVPR Workshops 2022: 807-815
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Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Luc Van Gool, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song, Mingwei Zhang, Chongxing Song, Shuyi Zhao, Zhiqiang Lang, Wei Wei, Lei Zhang, Renwei Dian, Tianci Shan, Anjing Guo, Chengguo Feng, Jinyang Liu, Mirko Agarla, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini, Jiang He, Yi Xiao, Jiajun Xiao, Qiangqiang Yuan, Jie Li, Liangpei Zhang, Taesung Kwon, Dohoon Ryu, Hyokyoung Bae, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Junyu Chen, Haiwei Li, Song Liu, Sabari Nathan, K. Uma, B. Sathya Bama, S. Mohamed Mansoor Roomi:
NTIRE 2022 Spectral Recovery Challenge and Data Set. CVPR Workshops 2022: 862-880
[c241]
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Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yaqi Wu, Xun Wu, Zhihao Fan, Chenjie Xia, Feng Zhang, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Mingwei Zhang, Kai Feng, Xun Zhang, Jiaxin Yao, Yongqiang Zhao, Suina Ma, Fan He, Yangyang Dong, Shufang Yu, Difa Qiu, Jinhui Liu, Mengzhao Bi, Beibei Song, Wenfang Sun, Jiesi Zheng, Bowen Zhao, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, Xiangyu Kong, Jingbo Yu, Yuanyang Xue, Zheng Xie:
NTIRE 2022 Spectral Demosaicing Challenge and Data Set. CVPR Workshops 2022: 881-895
[c240]
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Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Liangyu Chen, Xiaojie Chu, Wenqing Yu, Kai Jin, Zeqiang Wei, Sha Guo, Angulia Yang, Xiuzhuang Zhou, Guodong Guo, Bin Dai, Feiyue Peng, Huaxin Xiao, Shen Yan, Yuxiang Liu, Hanxiao Cai, Pu Cao, Yang Nie, Lu Yang, Qing Song, Xiaotao Hu, Jun Xu, Mai Xu, Junpeng Jing, Xin Deng, Qunliang Xing, Minglang Qiao, Zhenyu Guan, Wenlong Guo, Chenxu Peng, Zan Chen, Junyang Chen, Hao Li, Junbin Chen, Weijie Li, Zhijing Yang, Gen Li, Aijin Li, Lei Sun, Dafeng Zhang, Shizhuo Liu, Jiangtao Zhang, Yanyun Qu, Hao-Hsiang Yang, Zhi-Kai Huang, Wei-Ting Chen, Hua-En Chang, Sy-Yen Kuo, Qiaohui Liang, Jianxin Lin, Yijun Wang, Lianying Yin, Rongju Zhang, Wei Zhao, Peng Xiao, Rongjian Xu, Zhilu Zhang, Wangmeng Zuo, Hansheng Guo, Guangwei Gao, Tieyong Zeng, Huicheng Pi, Shunli Zhang, Joohyeok Kim, HyeonA Kim, Eunpil Park, Jae-Young Sim, Jucai Zhai, Pengcheng Zeng, Yang Liu, Chihao Ma, Yulin Huang, Junying Chen:
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2022: 905-918
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Marcos V. Conde, Maxime Burchi, Radu Timofte:
Conformer and Blind Noisy Students for Improved Image Quality Assessment. CVPR Workshops 2022: 939-949
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Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Radu Timofte, Yuan Gong, Shanshan Lao, Shuwei Shi, Jiahao Wang, Sidi Yang, Tianhe Wu, Weihao Xia, Yujiu Yang, Mingdeng Cao, Cong Heng, Lingzhi Fu, Rongyu Zhang, Yusheng Zhang, Hao Wang, Hongjian Song, Jing Wang, Haotian Fan, Xiaoxia Hou, Ming Sun, Mading Li, Kai Zhao, Kun Yuan, Zishang Kong, Mingda Wu, Chuanchuan Zheng, Marcos V. Conde, Maxime Burchi, Longtao Feng, Tao Zhang, Yang Li, Jingwen Xu, Haiqiang Wang, Yiting Liao, Junlin Li, Kele Xu, Tao Sun, Yunsheng Xiong, Abhisek Keshari, Komal, Sadbhawana Thakur, Vinit Jakhetiya, Badri N. Subudhi, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Anil Kumar Tiwari:
NTIRE 2022 Challenge on Perceptual Image Quality Assessment. CVPR Workshops 2022: 950-966
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Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park:
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CVPR Workshops 2022: 1008-1022
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Goutam Bhat, Martin Danelljan, Radu Timofte, Yizhen Cao, Yuntian Cao, Meiya Chen, Xihao Chen, Shen Cheng, Akshay Dudhane, Haoqiang Fan, Ruipeng Gang, Jian Gao, Yan Gu, Jie Huang, Liufeng Huang, Youngsu Jo, Sukju Kang, Salman Khan, Fahad Shahbaz Khan, Yuki Kondo, Chenghua Li, Fangya Li, Jinjing Li, Youwei Li, Zechao Li, Chenming Liu, Shuaicheng Liu, Zikun Liu, Zhuoming Liu, Ziwei Luo, Zhengxiong Luo, Nancy Mehta, Subrahmanyam Murala, Yoonchan Nam, Chihiro Nakatani, Pavel Ostyakov, Jinshan Pan, Ge Song, Jian Sun, Long Sun, Jinhui Tang, Norimichi Ukita, Zhihong Wen, Qi Wu, Xiaohe Wu, Zeyu Xiao, Zhiwei Xiong, Rongjian Xu, Ruikang Xu, Youliang Yan, Jialin Yang, Wentao Yang, Zhongbao Yang, Fuma Yasue, Mingde Yao, Lei Yu, Cong Zhang, Syed Waqas Zamir, Jianxing Zhang, Shuohao Zhang, Zhilu Zhang, Qian Zheng, Gaofeng Zhou, Magauiya Zhussip, Xueyi Zou, Wangmeng Zuo:
NTIRE 2022 Burst Super-Resolution Challenge. CVPR Workshops 2022: 1040-1060
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Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2022: 1061-1101
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Andrés Romero, Angela Castillo, Jose Abril-Nova, Radu Timofte, Ritwik Das, Sanchit Hira, Zhihong Pan, Min Zhang, Baopu Li, Dongliang He, Tianwei Lin, Fu Li, Chengyue Wu, Xianming Liu, Xinying Wang, Yi Yu, Jie Yang, Rengang Li, Yaqian Zhao, Zhenhua Guo, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zeyu Lu, Junqin Huang, Gang Wu, Junjun Jiang, Jiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai, Xiaoqiang Zhou, Huaibo Huang:
NTIRE 2022 Image Inpainting Challenge: Report. CVPR Workshops 2022: 1149-1181
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Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, Wangmeng Zuo, Pavel Ostyakov, Dmitry Vyal, Shakarim Soltanayev, Chervontsev Sergey, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon:
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. CVPR Workshops 2022: 1220-1237
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Egor I. Ershov, Alexey Savchik, Denis A. Shepelev, Nikola Banic, Michael S. Brown, Radu Timofte, Karlo Koscevic, Michael Freeman, Vasily Tesalin, Dmitry Bocharov, Illya Semenkov, Marko Subasic, Sven Loncaric, Arseniy P. Terekhin, Shuai Liu, Chaoyu Feng, Hao Wang, Ran Zhu, Yongqiang Li, Lei Lei, Zhihao Li, Si Yi, Linghao Han, Ruiqi Wu, Xin Jin, Chunle Guo, Furkan Kinli, Sami Mentes, Baris Özcan, Furkan Kiraç, Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Wei Li, Yipeng Ma, Tao Wang, Ruikang Xu, Fenglong Song, Wei-Ting Chen, Hao-Hsiang Yang, Zhi-Kai Huang, Hua-En Chang, Sy-Yen Kuo, Zhexin Liang, Shangchen Zhou, Ruicheng Feng, Chongyi Li, Xiangyu Chen, Binbin Song, Shile Zhang, Lin Liu, Zhendong Wang, Dohoon Ryu, Hyokyoung Bae, Taesung Kwon, Chaitra Desai, Nikhil Akalwadi, Amogh Joshi, Chinmayee Mandi, Sampada Malagi, Akash Uppin, Sai Sudheer Reddy, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi:
NTIRE 2022 Challenge on Night Photography Rendering. CVPR Workshops 2022: 1286-1299
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Fausto Tapia Benavides, Andrey Ignatov, Radu Timofte:
PhoneDepth: A Dataset for Monocular Depth Estimation on Mobile Devices. CVPR Workshops 2022: 3048-3055
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Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool:
Generative Flows with Invertible Attentions. CVPR 2022: 11224-11233
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Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool:
RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CVPR 2022: 11451-11461
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Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool:
Arbitrary-Scale Image Synthesis. CVPR 2022: 11523-11532
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Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction. CVPR 2022: 17481-17490
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Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging. CVPR 2022: 17521-17530
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Zipeng Xu, Tianwei Lin, Hao Tang, Fu Li, Dongliang He, Nicu Sebe, Radu Timofte, Luc Van Gool, Errui Ding:
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model. CVPR 2022: 18208-18217
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Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung:
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. ECCV Workshops (3) 2022: 3-26
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Furkan Kinli, Sami Mentes, Baris Özcan, Furkan Kiraç, Radu Timofte, Yi Zuo, Zitao Wang, Xiaowen Zhang, Yu Zhu, Chenghua Li, Cong Leng, Jian Cheng, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Tianzhi Ma, Zi-han Gao, Wenxin He, Woon-Ha Yeo, Wang-Taek Oh, Young-Il Kim, Han-Cheol Ryu, Gang He, Shaoyi Long, S. M. A. Sharif, Rizwan Ali Naqvi, Sungjun Kim, Guisik Kim, Seohyeon Lee, Sabari Nathan, Priya Kansal:
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results. ECCV Workshops (3) 2022: 27-43
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Andrey Ignatov, Radu Timofte, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Ziyao Yi, Yan Xiang, Zibin Liu, Shaoqing Li, Keming Shi, Dehui Kong, Ke Xu, Minsu Kwon, Yaqi Wu, Jiesi Zheng, Zhihao Fan, Xun Wu, Feng Zhang, Albert No, Minhyeok Cho, Zewen Chen, Xiaze Zhang, Ran Li, Juan Wang, Zhiming Wang, Marcos V. Conde, Ui-Jin Choi, Georgy Perevozchikov, Egor I. Ershov, Zheng Hui, Mengchuan Dong, Xin Lou, Wei Zhou, Cong Pang, Haina Qin, Mingxuan Cai:
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 44-70
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Ruicheng Feng, Chongyi Li, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, Yurui Zhu, Xi Wang, Xueyang Fu, Xiaowei Hu, Jinfan Hu, Xina Liu, Xiangyu Chen, Chao Dong, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Xuhao Jiang, Guangqi Shao, Xiaotao Wang, Lei Lei, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Tao Huang, Zhenxuan Fang, Mengluan Huang, Junwei Xu, Yong Zhang, Yuechi Yang, Qidi Shu, Zhiwen Yang, Shaocong Li, Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong, Hangyan Zhu, Ming Liu, Shaohui Liu, Wangmeng Zuo, Zhuang Jia, Binbin Song, Ziqi Song, Guiting Mao, Ben Hou, Zhimou Liu, Yi Ke, Dengpei Ouyang, Dekui Han, Jinghao Zhang, Qi Zhu, Naishan Zheng, Feng Zhao, Wu Jin, Marcos V. Conde, Sabari Nathan, Radu Timofte, Tianyi Xu, Jun Xu, P. S. Hrishikesh, Densen Puthussery, C. V. Jiji, Biao Jiang, Yuhan Ding, WanZhang Li, Xiaoyue Feng, Sijing Chen, Tianheng Zhong, Jiyang Lu, Hongming Chen, Zhentao Fan, Xiang Chen:
MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results. ECCV Workshops (5) 2022: 60-77
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Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun:
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 71-91
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Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, Lei Sun, Dafeng Zhang, Neo Yang, Fitz Liu, Jerry Zhao, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Shota Hirose, Kasidis Arunruangsirilert, Luo Ao, Ho Chun Leung, Andrew Wei, Jie Liu, Qiang Liu, Dahai Yu, Ao Li, Lei Luo, Ce Zhu, Seongmin Hong, Dongwon Park, Joonhee Lee, Byeong Hyun Lee, Seunggyu Lee, Se Young Chun, Ruiyuan He, Xuhao Jiang, Haihang Ruan, Xinjian Zhang, Jing Liu, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He:
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 92-129
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Andrey Ignatov, Radu Timofte, Cheng-Ming Chiang, Hsien-Kai Kuo, Yu-Syuan Xu, Man-Yu Lee, Allen Lu, Chia-Ming Cheng, Chih-Cheng Chen, Jia-Ying Yong, Hong-Han Shuai, Wen-Huang Cheng, Zhuang Jia, Tianyu Xu, Yijian Zhang, Long Bao, Heng Sun, Diankai Zhang, Si Gao, Shaoli Liu, Biao Wu, Xiaofeng Zhang, Chengjian Zheng, Kaidi Lu, Ning Wang, Xiao Sun, Haodong Wu, Xuncheng Liu, Weizhan Zhang, Caixia Yan, Haipeng Du, Qinghua Zheng, Qi Wang, Wangdu Chen, Ran Duan, Mengdi Sun, Dan Zhu, Guannan Chen, Hojin Cho, Steve Kim, Shijie Yue, Chenghua Li, Zhengyang Zhuge, Wei Chen, Wenxu Wang, Yufeng Zhou, Xiaochen Cai, Hengxing Cai, Kele Xu, Li Liu, Zehua Cheng, Wenyi Lian, Wenjing Lian:
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 130-152
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Andrey Ignatov, Radu Timofte, Jin Zhang, Feng Zhang, Gaocheng Yu, Zhe Ma, Hongbin Wang, Minsu Kwon, Haotian Qian, Wentao Tong, Pan Mu, Ziping Wang, Guangjing Yan, Brian Lee, Lei Fei, Huaijin G. Chen, Hyebin Cho, Byeongjun Kwon, Munchurl Kim, Mingyang Qian, Huixin Ma, Yanan Li, Xiaotao Wang, Lei Lei:
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 153-173
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Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. ECCV Workshops (3) 2022: 174-202
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Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhen-Hua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang:
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460
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Ardhendu Shekhar Tripathi, Martin Danelljan, Samarth Shukla, Radu Timofte, Luc Van Gool:
Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild. ECCV (6) 2022: 625-641
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Marcos V. Conde, Ui-Jin Choi, Maxime Burchi, Radu Timofte:
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. ECCV Workshops (2) 2022: 669-687
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Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction. ECCV (17) 2022: 686-704
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Andrey Ignatov, Anastasia Sycheva, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning. ECCV Workshops (2) 2022: 729-746
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Marcos V. Conde, Florin-Alexandru Vasluianu, Sabari Nathan, Radu Timofte:
Real-Time Under-Display Cameras Image Restoration and HDR on Mobile Devices. ECCV Workshops (2) 2022: 747-762
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Florin-Alexandru Vasluianu, Radu Timofte:
Efficient Video Enhancement Transformer. ICIP 2022: 4068-4072
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Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Flow-Guided Sparse Transformer for Video Deblurring. ICML 2022: 13334-13343
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Andrey Ignatov, Grigory Malivenko, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks. ICPR 2022: 677-684
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Ren Yang, Radu Timofte, Luc Van Gool:
Perceptual Learned Video Compression with Recurrent Conditional GAN. IJCAI 2022: 1537-1544
[c205]
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Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging. NeurIPS 2022
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Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool:
Recurrent Video Restoration Transformer with Guided Deformable Attention. NeurIPS 2022
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Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. WACV 2022: 874-883
[i179]
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Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Flow-Guided Sparse Transformer for Video Deblurring. CoRR abs/2201.01893 (2022)
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Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool:
RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CoRR abs/2201.09865 (2022)
[i177]
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Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool:
VRT: A Video Restoration Transformer. CoRR abs/2201.12288 (2022)
[i176]
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Dario Fuoli, Martin Danelljan, Radu Timofte, Luc Van Gool:
Fast Online Video Super-Resolution with Deformable Attention Pyramid. CoRR abs/2202.01731 (2022)
[i175]
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Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging. CoRR abs/2203.02149 (2022)
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Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction. CoRR abs/2203.04845 (2022)
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  - journals/corr/abs-2203-10636
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Ardhendu Shekhar Tripathi, Martin Danelljan, Samarth Shukla, Radu Timofte, Luc Van Gool:
Transform your Smartphone into a DSLR Camera: Learning the ISP in the Wild. CoRR abs/2203.10636 (2022)
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Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Radu Timofte, Luc Van Gool:
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis. CoRR abs/2203.13278 (2022)
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Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool:
Arbitrary-Scale Image Synthesis. CoRR abs/2204.02273 (2022)
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  - journals/corr/abs-2204-07908
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Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool:
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. CoRR abs/2204.07908 (2022)
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Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte:
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. CoRR abs/2204.09197 (2022)
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Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, Wangmeng Zuo, Pavel Ostyakov, Dmitry Vyal, Shakarim Soltanayev, Chervontsev Sergey, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Xin Liu, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon:
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. CoRR abs/2204.09314 (2022)
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  - journals/corr/abs-2204-12819
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Marcos V. Conde, Maxime Burchi, Radu Timofte:
Conformer and Blind Noisy Students for Improved Image Quality Assessment. CoRR abs/2204.12819 (2022)
[i166]
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  - journals/corr/abs-2205-05675
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Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, et al.:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2205.05675 (2022)
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  - journals/corr/abs-2205-05676
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Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool:
Revisiting Random Channel Pruning for Neural Network Compression. CoRR abs/2205.05676 (2022)
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Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging. CoRR abs/2205.10102 (2022)
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Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park:
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CoRR abs/2205.12633 (2022)
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Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool:
Recurrent Video Restoration Transformer with Guided Deformable Attention. CoRR abs/2206.02146 (2022)
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  - journals/corr/abs-2206-11695
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Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Radu Timofte:
NTIRE 2022 Challenge on Perceptual Image Quality Assessment. CoRR abs/2206.11695 (2022)
[i160]
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  - journals/corr/abs-2206-14797
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Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas J. Guibas, Luc Van Gool, Radu Timofte:
3D-Aware Video Generation. CoRR abs/2206.14797 (2022)
[i159]
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  - journals/corr/abs-2208-11184
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Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. CoRR abs/2208.11184 (2022)
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  - journals/corr/abs-2209-11345
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Marcos V. Conde, Ui-Jin Choi, Maxime Burchi, Radu Timofte:
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. CoRR abs/2209.11345 (2022)
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  - journals/corr/abs-2210-00405
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Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Basic Binary Convolution Unit for Binarized Image Restoration Network. CoRR abs/2210.00405 (2022)
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  - journals/corr/abs-2210-04553
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Yitong Xia, Hao Tang, Radu Timofte, Luc Van Gool:
SiNeRF: Sinusoidal Neural Radiance Fields for Joint Pose Estimation and Scene Reconstruction. CoRR abs/2210.04553 (2022)
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  - journals/corr/abs-2210-08997
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Furkan Kinli, Sami Mentes, Baris Özcan, Furkan Kiraç, Radu Timofte, Yi Zuo, Zitao Wang, Xiaowen Zhang, Yu Zhu, Chenghua Li, Cong Leng, Jian Cheng, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Tianzhi Ma, Zi-han Gao, Wenxin He, Woon-Ha Yeo, Wang-Taek Oh, Young-Il Kim, Han-Cheol Ryu, Gang He, Shaoyi Long, S. M. A. Sharif, Rizwan Ali Naqvi, Sungjun Kim, Guisik Kim, Seohyeon Lee, Sabari Nathan, Priya Kansal:
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results. CoRR abs/2210.08997 (2022)
[i154]
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  - journals/corr/abs-2210-11153
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Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung:
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. CoRR abs/2210.11153 (2022)
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  - journals/corr/abs-2210-13552
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Marcos V. Conde, Florin-Alexandru Vasluianu, Javier Vazquez-Corral, Radu Timofte:
Perceptual Image Enhancement for Smartphone Real-Time Applications. CoRR abs/2210.13552 (2022)
[i152]
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  - journals/corr/abs-2211-03885
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Andrey Ignatov, Radu Timofte, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Ziyao Yi, Yan Xiang, Zibin Liu, Shaoqing Li, Keming Shi, Dehui Kong, Ke Xu, Minsu Kwon, Yaqi Wu, Jiesi Zheng, Zhihao Fan, Xun Wu, Feng Zhang, Albert No, Minhyeok Cho, Zewen Chen, Xiaze Zhang, Ran Li, Juan Wang, Zhiming Wang, Marcos V. Conde, Ui-Jin Choi, Georgy Perevozchikov, Egor I. Ershov, Zheng Hui, Mengchuan Dong, Xin Lou, Wei Zhou, Cong Pang, Haina Qin, Mingxuan Cai:
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. CoRR abs/2211.03885 (2022)
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  - journals/corr/abs-2211-04470
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Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun:
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. CoRR abs/2211.04470 (2022)
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  - journals/corr/abs-2211-05256
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Andrey Ignatov, Radu Timofte, Cheng-Ming Chiang, Hsien-Kai Kuo, Yu-Syuan Xu, Man-Yu Lee, Allen Lu, Chia-Ming Cheng, Chih-Cheng Chen, Jia-Ying Yong, Hong-Han Shuai, Wen-Huang Cheng, Zhuang Jia, Tianyu Xu, Yijian Zhang, Long Bao, Heng Sun, Diankai Zhang, Si Gao, Shaoli Liu, Biao Wu, Xiaofeng Zhang, Chengjian Zheng, Kaidi Lu, Ning Wang, Xiao Sun, Haodong Wu, Xuncheng Liu, Weizhan Zhang, Caixia Yan, Haipeng Du, Qinghua Zheng, Qi Wang, Wangdu Chen, Ran Duan, Ran Duan, Mengdi Sun, Dan Zhu, Guannan Chen, Hojin Cho, Steve Kim, Shijie Yue, Chenghua Li, Zhengyang Zhuge, Wei Chen, Wenxu Wang, Yufeng Zhou, Xiaochen Cai, Hengxing Cai, Kele Xu, Li Liu, Zehua Cheng, Wenyi Lian, Wenjing Lian:
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 challenge: Report. CoRR abs/2211.05256 (2022)
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  - journals/corr/abs-2211-05910
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Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, et al.:
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report. CoRR abs/2211.05910 (2022)
[i148]
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  - journals/corr/abs-2211-06263
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Andrey Ignatov, Grigory Malivenko, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks. CoRR abs/2211.06263 (2022)
[i147]
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  - journals/corr/abs-2211-06769
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Andrey Ignatov, Radu Timofte, Jin Zhang, Feng Zhang, Gaocheng Yu, Zhe Ma, Hongbin Wang, Minsu Kwon, Haotian Qian, Wentao Tong, Pan Mu, Ziping Wang, Guangjing Yan, Brian Lee, Lei Fei, Huaijin G. Chen, Hyebin Cho, Byeongjun Kwon, Munchurl Kim, Mingyang Qian, Huixin Ma, Yanan Li, Xiaotao Wang, Lei Lei:
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report. CoRR abs/2211.06769 (2022)
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  - journals/corr/abs-2211-06770
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Andrey Ignatov, Anastasia Sycheva, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning. CoRR abs/2211.06770 (2022)
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Ren Yang, Radu Timofte, Luc Van Gool:
Advancing Learned Video Compression with In-loop Frame Prediction. CoRR abs/2211.07004 (2022)
[i144]
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  - journals/corr/abs-2211-14040
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Marcos V. Conde, Florin-Alexandru Vasluianu, Sabari Nathan, Radu Timofte:
Real-Time Under-Display Cameras Image Restoration and HDR on Mobile Devices. CoRR abs/2211.14040 (2022)
[i143]
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Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, Luc Van Gool:
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. CoRR abs/2211.14461 (2022)
[i142]
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Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution. CoRR abs/2211.16928 (2022)
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Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CoRR abs/2212.04362 (2022)
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Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cédric Demonceaux, Radu Timofte, Luc Van Gool:
Source-free Depth for Object Pop-out. CoRR abs/2212.05370 (2022)
2021
[j18]
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Christoph Mayer, Matthieu Paul, Radu Timofte:
Adversarial feature distribution alignment for semi-supervised learning. Comput. Vis. Image Underst. 202: 103109 (2021)
[j17]
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Christoph Mayer, Radu Timofte, Grégory Paul:
Towards closing the gap in weakly supervised semantic segmentation with DCNNs: Combining local and global models. Comput. Vis. Image Underst. 208-209: 103209 (2021)
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Shuhang Gu, Kede Ma, Radu Timofte:
Special Section Guest Editorial: Perceptually Optimized Imaging. J. Electronic Imaging 30(2): 021001 (2021)
[j15]
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A. Murat Tekalp, Michele Covell, Radu Timofte, Chao Dong:
Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression. IEEE J. Sel. Top. Signal Process. 15(2): 157-161 (2021)
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Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte:
Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model. IEEE J. Sel. Top. Signal Process. 15(2): 388-401 (2021)
[j13]
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Yudong Liang, Radu Timofte, Jinjun Wang, Sanping Zhou, Yihong Gong, Nanning Zheng:
Single-Image super-resolution - When model adaptation matters. Pattern Recognit. 116: 107931 (2021)
[c202]
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Ce Liu, Shuhang Gu, Luc Van Gool, Radu Timofte:
Deep Line Encoding for Monocular 3D Object Detection and Depth Prediction. BMVC 2021: 354
[c201]
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Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows. CVPR 2021: 94-103
[c200]
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Seungjun Nah, Sanghyun Son, Suyoung Lee, Radu Timofte, Kyoung Mu Lee:
NTIRE 2021 Challenge on Image Deblurring. CVPR Workshops 2021: 149-165
[c199]
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Sanghyun Son, Suyoung Lee, Seungjun Nah, Radu Timofte, Kyoung Mu Lee:
NTIRE 2021 Challenge on Video Super-Resolution. CVPR Workshops 2021: 166-181
[c198]
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Casian Miron, Alexandru Pasarica, Radu Timofte:
Efficient CNN Architecture for Multi-Modal Aerial View Object Classification. CVPR Workshops 2021: 560-565
[c197]
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Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte:
NTIRE 2021 Depth Guided Image Relighting Challenge. CVPR Workshops 2021: 566-577
[c196]
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Abdullah Abuolaim, Radu Timofte, Michael S. Brown:
NTIRE 2021 Challenge for Defocus Deblurring Using Dual-Pixel Images: Methods and Results. CVPR Workshops 2021: 578-587
[c195]
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Jerrick Liu, Nathan Inkawhich, Oliver Nina, Radu Timofte:
NTIRE 2021 Multi-Modal Aerial View Object Classification Challenge. CVPR Workshops 2021: 588-595
[c194]
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Andreas Lugmayr, Martin Danelljan, Radu Timofte:
NTIRE 2021 Learning the Super-Resolution Space Challenge. CVPR Workshops 2021: 596-612
[c193]
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Goutam Bhat, Martin Danelljan, Radu Timofte:
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. CVPR Workshops 2021: 613-626
[c192]
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Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte:
NTIRE 2021 NonHomogeneous Dehazing Challenge Report. CVPR Workshops 2021: 627-646
[c191]
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Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte:
NTIRE 2021 Challenge on Perceptual Image Quality Assessment. CVPR Workshops 2021: 677-690
[c190]
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  - conf/cvpr/Perez-Pellitero21
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Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Ales Leonardis, Radu Timofte:
NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results. CVPR Workshops 2021: 691-700
[c189]
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Florin-Alexandru Vasluianu, Andrés Romero, Luc Van Gool, Radu Timofte:
Shadow Removal With Paired and Unpaired Learning. CVPR Workshops 2021: 826-835
[c188]
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Xin Deng, Wenzhe Yang, Ren Yang, Mai Xu, Enpeng Liu, Qianhan Feng, Radu Timofte:
Deep Homography for Efficient Stereo Image Compression. CVPR 2021: 1492-1501
[c187]
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Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures. CVPR 2021: 2144-2153
[c186]
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  - conf/cvpr/IgnatovCKST21
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Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo, Anastasia Sycheva, Radu Timofte:
Learned Smartphone ISP on Mobile NPUs With Deep Learning, Mobile AI 2021 Challenge: Report. CVPR Workshops 2021: 2503-2514
[c185]
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Andrey Ignatov, Kim Byeoung-su, Radu Timofte, Angeline Pouget:
Fast Camera Image Denoising on Mobile GPUs With Deep Learning, Mobile AI 2021 Challenge: Report. CVPR Workshops 2021: 2515-2524
[c184]
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Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes:
Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report. CVPR Workshops 2021: 2525-2534
[c183]
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Andrey Ignatov, Andrés Romero, Heewon Kim, Radu Timofte:
Real-Time Video Super-Resolution on Smartphones With Deep Learning, Mobile AI 2021 Challenge: Report. CVPR Workshops 2021: 2535-2544
[c182]
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Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte:
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report. CVPR Workshops 2021: 2545-2557
[c181]
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Andrey Ignatov, Grigory Malivenko, Radu Timofte:
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report. CVPR Workshops 2021: 2558-2568
[c180]
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  - conf/cvpr/PougetRGCTPTI21
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Angeline Pouget, Sidharth Ramesh, Maximilian Giang, Ramithan Chandrapalan, Toni Tanner, Moritz Prussing, Radu Timofte, Andrey Ignatov:
Fast and Accurate Camera Scene Detection on Smartphones. CVPR Workshops 2021: 2569-2580
[c179]
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  - conf/cvpr/TruongDGT21
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Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Accurate Dense Correspondences and When To Trust Them. CVPR 2021: 5714-5724
[c178]
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Deep Burst Super-Resolution. CVPR 2021: 9209-9218
[c177]
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  - conf/cvpr/Liang0GGT21
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Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flow-Based Kernel Prior With Application to Blind Super-Resolution. CVPR 2021: 10601-10610
[c176]
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  - conf/cvpr/WeiGLTJS21
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Yunxuan Wei, Shuhang Gu, Yawei Li, Radu Timofte, Longcun Jin, Hengjie Song:
Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training. CVPR 2021: 13385-13394
[c175]
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  - conf/iccv/FuoliGT21
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Dario Fuoli, Luc Van Gool, Radu Timofte:
Fourier Space Losses for Efficient Perceptual Image Super-Resolution. ICCV 2021: 2340-2349
[c174]
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Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. ICCV 2021: 2440-2450
[c173]
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Yawei Li, He Chen, Zhaopeng Cui, Radu Timofte, Marc Pollefeys, Gregory S. Chirikjian, Luc Van Gool:
Towards Efficient Graph Convolutional Networks for Point Cloud Handling. ICCV 2021: 3732-3742
[c172]
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Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte:
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling. ICCV 2021: 4056-4065
[c171]
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Jingyun Liang, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution. ICCV 2021: 4076-4085
[c170]
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Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte:
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution. ICCV 2021: 4771-4780
[c169]
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Jiaxi Jiang, Kai Zhang, Radu Timofte:
Towards Flexible Blind JPEG Artifacts Removal. ICCV 2021: 4977-4986
[c168]
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  - conf/iccv/ZhaoBDGT21
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Bin Zhao, Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos. ICCV 2021: 13536-13546
[c167]
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Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
SwinIR: Image Restoration Using Swin Transformer. ICCVW 2021: 1833-1844
[c166]
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  - conf/iccvw/CastilloEPRTGA21
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Angela Castillo, María Escobar, Juan C. Pérez, Andrés Romero, Radu Timofte, Luc Van Gool, Pablo Arbeláez:
Generalized Real-World Super-Resolution through Adversarial Robustness. ICCVW 2021: 1855-1865
[c165]
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  - conf/iccvw/RomeroGT21
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Andrés Romero, Luc Van Gool, Radu Timofte:
SMILE: Semantically-guided Multi-attribute Image and Layout Editing. ICCVW 2021: 1924-1933
[c164]
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  - conf/iccvw/KristanMLFPKCDZ21
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Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738
[c163]
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Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte:
Fast Few-Shot Classification by Few-Iteration Meta-Learning. ICRA 2021: 9522-9528
[c162]
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Cristian Cioflan, Radu Timofte:
MS-RANAS: Multi-Scale Resource-Aware Neural Architecture Search. ICRA 2021: 14353-14359
[c161]
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Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte:
Local Memory Attention for Fast Video Semantic Segmentation. IROS 2021: 1102-1109
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Guo Lu, Ren Yang, Shenlong Wang, Shan Liu, Radu Timofte:
Deep Learning for Visual Data Compression. ACM Multimedia 2021: 5683-5685
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Kangning Liu, Shuhang Gu, Andrés Romero, Radu Timofte:
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning. WACV 2021: 1029-1039
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Samarth Shukla, Andrés Romero, Luc Van Gool, Radu Timofte:
Zero-Pair Image to Image Translation using Domain Conditional Normalization. WACV 2021: 3511-3518
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Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Accurate Dense Correspondences and When to Trust Them. CoRR abs/2101.01710 (2021)
[i138]
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Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte:
Local Memory Attention for Fast Video Semantic Segmentation. CoRR abs/2101.01715 (2021)
[i137]
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Bin Zhao, Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos. CoRR abs/2101.02196 (2021)
[i136]
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Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows. CoRR abs/2101.05796 (2021)
[i135]
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Yan Wu, Zhiwu Huang, Suryansh Kumar, Rhea Sanjay Sukthanker, Radu Timofte, Luc Van Gool:
Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution. CoRR abs/2101.06658 (2021)
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Deep Burst Super-Resolution. CoRR abs/2101.10997 (2021)
[i133]
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A. Murat Tekalp, Michele Covell, Radu Timofte, Chao Dong:
Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression. CoRR abs/2102.06531 (2021)
[i132]
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Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte:
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution. CoRR abs/2103.14006 (2021)
[i131]
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Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flow-based Kernel Prior with Application to Blind Super-Resolution. CoRR abs/2103.15977 (2021)
[i130]
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Yawei Li, He Chen, Zhaopeng Cui, Radu Timofte, Marc Pollefeys, Gregory S. Chirikjian, Luc Van Gool:
Towards Efficient Graph Convolutional Networks for Point Cloud Handling. CoRR abs/2104.05706 (2021)
[i129]
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Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Luc Van Gool:
LocalViT: Bringing Locality to Vision Transformers. CoRR abs/2104.05707 (2021)
[i128]
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Ren Yang, Radu Timofte, Jing Liu, Yi Xu, Xinjian Zhang, Minyi Zhao, Shuigeng Zhou, Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy, Xin Li, Fanglong Liu, He Zheng, Lielin Jiang, Qi Zhang, Dongliang He, Fu Li, Qingqing Dang, Yibin Huang, Matteo Maggioni, Zhongqian Fu, Shuai Xiao, Cheng Li, Thomas Tanay, Fenglong Song, Wentao Chao, Qiang Guo, Yan Liu, Jiang Li, Xiaochao Qu, Dewang Hou, Jiayu Yang, Lyn Jiang, Di You, Zhenyu Zhang, Chong Mou, Iaroslav Koshelev, Pavel Ostyakov, Andrey Somov, Jia Hao, Xueyi Zou, Shijie Zhao, Xiaopeng Sun, Yiting Liao, Yuanzhi Zhang, Qing Wang, Gen Zhan, Mengxi Guo, Junlin Li, Ming Lu, Zhan Ma, Pablo Navarrete Michelini, Hai Wang, Yiyun Chen, Jingyu Guo, Liliang Zhang, Wenming Yang, Sijung Kim, Syehoon Oh, Yucong Wang, Minjie Cai, Wei Hao, Kangdi Shi, Liangyan Li, Jun Chen, Wei Gao, Wang Liu, Xiaoyu Zhang, Linjie Zhou, Sixin Lin, Ru Wang:
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results. CoRR abs/2104.10781 (2021)
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Ren Yang, Radu Timofte:
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study. CoRR abs/2104.10782 (2021)
[i126]
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Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte:
NTIRE 2021 Depth Guided Image Relighting Challenge. CoRR abs/2104.13365 (2021)
[i125]
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Sanghyun Son, Suyoung Lee, Seungjun Nah, Radu Timofte, Kyoung Mu Lee:
NTIRE 2021 Challenge on Video Super-Resolution. CoRR abs/2104.14852 (2021)
[i124]
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Seungjun Nah, Sanghyun Son, Suyoung Lee, Radu Timofte, Kyoung Mu Lee:
NTIRE 2021 Challenge on Image Deblurring. CoRR abs/2104.14854 (2021)
[i123]
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Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, Zirui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, José Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa:
NTIRE 2021 Challenge on Perceptual Image Quality Assessment. CoRR abs/2105.03072 (2021)
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Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo, Anastasia Sycheva, Radu Timofte, Min-Hung Chen, Man-Yu Lee, Yu-Syuan Xu, Yu Tseng, Shusong Xu, Jin Guo, Chao-Hung Chen, Ming-Chun Hsyu, Wen-Chia Tsai, Chao-Wei Chen, Grigory Malivenko, Minsu Kwon, Myungje Lee, Jaeyoon Yoo, Changbeom Kang, Shinjo Wang, Zheng Shaolong, Hao Dejun, Xie Fen, Feng Zhuang, Yipeng Ma, Jingyang Peng, Tao Wang, Fenglong Song, Chih-Chung Hsu, Kwan-Lin Chen, Mei-Hsuang Wu, Vishal M. Chudasama, Kalpesh Prajapati, Heena Patel, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch, Etienne de Stoutz:
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report. CoRR abs/2105.07809 (2021)
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Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Andrew Lek, Mustafa Ayazoglu, Jie Liu, Zongcai Du, Jiaming Guo, Xueyi Zhou, Hao Jia, Youliang Yan, Zexin Zhang, Yixin Chen, Yunbo Peng, Yue Lin, Xindong Zhang, Hui Zeng, Kun Zeng, Peirong Li, Zhihuang Liu, Shiqi Xue, Shengpeng Wang:
Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report. CoRR abs/2105.07825 (2021)
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Angeline Pouget, Sidharth Ramesh, Maximilian Giang, Ramithan Chandrapalan, Toni Tanner, Moritz Prussing, Radu Timofte, Andrey Ignatov:
Fast and Accurate Camera Scene Detection on Smartphones. CoRR abs/2105.07869 (2021)
[i119]
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Andrey Ignatov, Kim Byeoung-su, Radu Timofte, Angeline Pouget, Fenglong Song, Cheng Li, Shuai Xiao, Zhongqian Fu, Matteo Maggioni, Yibin Huang, Shen Cheng, Xin Lu, Yifeng Zhou, Liangyu Chen, Donghao Liu, Xiangyu Zhang, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Minsu Kwon, Myungje Lee, Jaeyoon Yoo, Changbeom Kang, Shinjo Wang, Bin Huang, Tianbao Zhou, Shuai Liu, Lei Lei, Chaoyu Feng, Liguang Huang, Zhikun Lei, Feifei Chen:
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report. CoRR abs/2105.08629 (2021)
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Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao, Jin-Hua Du, Pei-Lin Wu, Chao Ge, Jiaoyang Yao, Fangwen Tu, Bo Li, Jung Eun Yoo, Kwanggyoon Seo, Jialei Xu, Zhenyu Li, Xianming Liu, Junjun Jiang, Wei-Chi Chen, Shayan Joya, Huanhuan Fan, Zhaobing Kang, Ang Li, Tianpeng Feng, Yang Liu, Chuannan Sheng, Jian Yin, Fausto T. Benavide:
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report. CoRR abs/2105.08630 (2021)
[i117]
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  - journals/corr/abs-2105-08819
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Andrey Ignatov, Grigory Malivenko, Radu Timofte, Sheng Chen, Xin Xia, Zhaoyan Liu, Yuwei Zhang, Feng Zhu, Jiashi Li, Xuefeng Xiao, Yuan Tian, Xinglong Wu, Christos Kyrkou, Yixin Chen, Zexin Zhang, Yunbo Peng, Yue Lin, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Himanshu Kumar, Chao Ge, Pei-Lin Wu, Jin-Hua Du, Andrew Batutin, Juan Pablo Federico, Konrad Lyda, Levon Khojoyan, Abhishek Thanki, Sayak Paul, Shahid Siddiqui:
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report. CoRR abs/2105.08819 (2021)
[i116]
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  - journals/corr/abs-2105-08826
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Andrey Ignatov, Andrés Romero, Heewon Kim, Radu Timofte, Chiu Man Ho, Zibo Meng, Kyoung Mu Lee, Yuxiang Chen, Yutong Wang, Zeyu Long, Chenhao Wang, Yifei Chen, Boshen Xu, Shuhang Gu, Lixin Duan, Wen Li, Bofei Wang, Diankai Zhang, Chengjian Zheng, Shaoli Liu, Si Gao, Xiaofeng Zhang, Kaidi Lu, Tianyu Xu, Zheng Hui, Xinbo Gao, Xiumei Wang, Jiaming Guo, Xueyi Zhou, Hao Jia, Youliang Yan:
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report. CoRR abs/2105.08826 (2021)
[i115]
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Dario Fuoli, Luc Van Gool, Radu Timofte:
Fourier Space Losses for Efficient Perceptual Image Super-Resolution. CoRR abs/2106.00783 (2021)
[i114]
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  - journals/corr/abs-2106-01439
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Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Ales Leonardis, Radu Timofte:
NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results. CoRR abs/2106.01439 (2021)
[i113]
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Goutam Bhat, Martin Danelljan, Radu Timofte, Kazutoshi Akita, Wooyeong Cho, Haoqiang Fan, Lanpeng Jia, Daeshik Kim, Bruno Lecouat, Youwei Li, Shuaicheng Liu, Ziluan Liu, Ziwei Luo, Takahiro Maeda, Julien Mairal, Christian Micheloni, Xuan Mo, Takeru Oba, Pavel Ostyakov, Jean Ponce, Sanghyeok Son, Jian Sun, Norimichi Ukita, Rao Muhammad Umer, Youliang Yan, Lei Yu, Magauiya Zhussip, Xueyi Zou:
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. CoRR abs/2106.03839 (2021)
[i112]
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Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool:
Generative Flows with Invertible Attentions. CoRR abs/2106.03959 (2021)
[i111]
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Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte:
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling. CoRR abs/2108.05301 (2021)
[i110]
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Jingyun Liang, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution. CoRR abs/2108.05302 (2021)
[i109]
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  - journals/corr/abs-2108-08286
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Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. CoRR abs/2108.08286 (2021)
[i108]
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  - journals/corr/abs-2108-10257
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Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
SwinIR: Image Restoration Using Swin Transformer. CoRR abs/2108.10257 (2021)
[i107]
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Angela Castillo, María Escobar, Juan C. Pérez, Andrés Romero, Radu Timofte, Luc Van Gool, Pablo Arbeláez:
Generalized Real-World Super-Resolution through Adversarial Robustness. CoRR abs/2108.11505 (2021)
[i106]
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  - journals/corr/abs-2109-03082
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Ren Yang, Luc Van Gool, Radu Timofte:
Perceptual Learned Video Compression with Recurrent Conditional GAN. CoRR abs/2109.03082 (2021)
[i105]
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  - journals/corr/abs-2109-13912
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Prune Truong, Martin Danelljan, Radu Timofte, Luc Van Gool:
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network. CoRR abs/2109.13912 (2021)
[i104]
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Jiaxi Jiang, Kai Zhang, Radu Timofte:
Towards Flexible Blind JPEG Artifacts Removal. CoRR abs/2109.14573 (2021)
[i103]
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  - journals/corr/abs-2111-03649
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Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. CoRR abs/2111.03649 (2021)
[i102]
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Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction. CoRR abs/2111.07910 (2021)
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Guanglei Yang, Hao Tang, Humphrey Shi, Mingli Ding, Nicu Sebe, Radu Timofte, Luc Van Gool, Elisa Ricci:
Global and Local Alignment Networks for Unpaired Image-to-Image Translation. CoRR abs/2111.10346 (2021)
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Zipeng Xu, Tianwei Lin, Hao Tang, Fu Li, Dongliang He, Nicu Sebe, Radu Timofte, Luc Van Gool, Errui Ding:
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model. CoRR abs/2111.13333 (2021)
2020
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Shuhang Gu, Shi Guo, Wangmeng Zuo, Yunjin Chen, Radu Timofte, Luc Van Gool, Lei Zhang:
Learned Dynamic Guidance for Depth Image Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2437-2452 (2020)
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  - conf/3dim/KayaT20
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Berk Kaya, Radu Timofte:
Self-Supervised 2D Image to 3D Shape Translation with Disentangled Representations. 3DV 2020: 1039-1048
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Philipp Andermatt, Radu Timofte:
A Weakly Supervised Convolutional Network for Change Segmentation and Classification. ACCV Workshops 2020: 103-119
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Marcel C. Bühler, Andrés Romero, Radu Timofte:
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution. ACCV (4) 2020: 624-642
[c154]
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Fredrik Gustafsson, Martin Danelljan, Radu Timofte, Thomas B. Schön:
How to Train Your Energy-Based Model for Regression. BMVC 2020
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Seungjun Nah, Sanghyun Son, Radu Timofte, Kyoung Mu Lee, Yu Tseng, Yu-Syuan Xu, Cheng-Ming Chiang, Yi-Min Tsai, Stephan Brehm, Sebastian A. Scherer, Dejia Xu, Yihao Chu, Qingyan Sun, Jiaqin Jiang, Lunhao Duan, Jian Yao, Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Yuichi Ito, Hrishikesh P. S, Densen Puthussery, Akhil K. A, C. V. Jiji, Guisik Kim, Deepa P. L, Zhiwei Xiong, Jie Huang, Dong Liu, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Shihua Huang, Yuchen Fan, Jiahui Yu, Haichao Yu, Thomas S. Huang, Ya Zhou, Xin Li, Sen Liu, Zhibo Chen, Saikat Dutta, Sourya Dipta Das, Shivam Garg, Daniel Sprague, Bhrij Patel, Thomas Huck:
NTIRE 2020 Challenge on Image and Video Deblurring. CVPR Workshops 2020: 1662-1675
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Andrey Ignatov, Jagruti Patel, Radu Timofte:
Rendering Natural Camera Bokeh Effect with Deep Learning. CVPR Workshops 2020: 1676-1686
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  - conf/cvpr/AncutiAT20
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Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte:
NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images. CVPR Workshops 2020: 1798-1805
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Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham D. Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu Zhu, Junhui Hou, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed H. Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan sabarinathan, K. Uma, D. Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi:
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image. CVPR Workshops 2020: 1806-1822
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Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory G. Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, Vien Gia An, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S. Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P. S, C. V. Jiji, Ashish Sinha, Xuan Zhao:
NTIRE 2020 Challenge on Image Demoireing: Methods and Results. CVPR Workshops 2020: 1882-1893
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Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen:
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results. CVPR Workshops 2020: 1962-1974
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Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju-Chin Chao, Tsung-Shan Yang, Peng-Wen Chen, Po-Min Hsu, Tzu-Yi Liao, Chung-En Sun, Pei-Yuan Wu, Jeonghyeok Do, Jongmin Park, Munchurl Kim, Kareem Metwaly, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue-Yuan Chuang, Tsung-Nan Lin, David Lee, Jerome Chang, Zhan-Han Wang, Yu-Bang Chang, Chang-Hong Lin, Yu Dong, Hongyu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Jacob Whannou de Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal:
NTIRE 2020 Challenge on NonHomogeneous Dehazing. CVPR Workshops 2020: 2029-2044
[c146]
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Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CVPR Workshops 2020: 2045-2057
[c145]
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  - conf/cvpr/LugmayrDTABCCCC20
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Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, Se Young Chun, Wei Deng, Mostafa El-Khamy, Chiu Man Ho, Xiaozhong Ji, Amin Kheradmand, Gwantae Kim, Hanseok Ko, Kanghyu Lee, Jungwon Lee, Hao Li, Ziluan Liu, Zhi-Song Liu, Shuai Liu, Yunhua Lu, Zibo Meng, Pablo Navarrete Michelini, Christian Micheloni, Kalpesh Prajapati, Haoyu Ren, Yonghyeok Seo, Wan-Chi Siu, Kyung-Ah Sohn, Ying Tai, Rao Muhammad Umer, Shuangquan Wang, Huibing Wang, Timothy Haoning Wu, Haoning Wu, Biao Yang, Fuzhi Yang, Jaejun Yoo, Tongtong Zhao, Yuanbo Zhou, Haijie Zhuo, Ziyao Zong, Xueyi Zou:
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. CVPR Workshops 2020: 2058-2076
[c144]
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Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar:
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. CVPR Workshops 2020: 2077-2088
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Andrey Ignatov, Luc Van Gool, Radu Timofte:
Replacing Mobile Camera ISP with a Single Deep Learning Model. CVPR Workshops 2020: 2275-2285
[c142]
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Kai Zhang, Luc Van Gool, Radu Timofte:
Deep Unfolding Network for Image Super-Resolution. CVPR 2020: 3214-3223
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  - conf/cvpr/TruongDT20
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Prune Truong, Martin Danelljan, Radu Timofte:
GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences. CVPR 2020: 6257-6267
[c140]
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  - conf/cvpr/YangMGT20
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Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte:
Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement. CVPR 2020: 6627-6636
[c139]
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  - conf/cvpr/DanelljanGT20
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Martin Danelljan, Luc Van Gool, Radu Timofte:
Probabilistic Regression for Visual Tracking. CVPR 2020: 7181-7190
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  - conf/cvpr/LiG0GT20
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Yawei Li, Shuhang Gu, Christoph Mayer, Luc Van Gool, Radu Timofte:
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR 2020: 8015-8024
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Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 5-40
[c136]
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Sanghyun Son, Jaerin Lee, Seungjun Nah, Radu Timofte, Kyoung Mu Lee, Yihao Liu, Liangbin Xie, Siyao Li, Wenxiu Sun, Yu Qiao, Chao Dong, Woonsung Park, Wonyong Seo, Munchurl Kim, Wenhao Zhang, Pablo Navarrete Michelini, Kazutoshi Akita, Norimichi Ukita:
AIM 2020 Challenge on Video Temporal Super-Resolution. ECCV Workshops (4) 2020: 23-40
[c135]
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Dario Fuoli, Zhiwu Huang, Shuhang Gu, Radu Timofte, Arnau Raventos, Aryan Esfandiari, Salah Karout, Xuan Xu, Xin Li, Xin Xiong, Jinge Wang, Pablo Navarrete Michelini, Wenhao Zhang, Dongyang Zhang, Hanwei Zhu, Dan Xia, Haoyu Chen, Jinjin Gu, Zhi Zhang, Tongtong Zhao, Shanshan Zhao, Kazutoshi Akita, Norimichi Ukita, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results. ECCV Workshops (4) 2020: 57-81
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Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou:
AIM 2020 Challenge on Learned Image Signal Processing Pipeline. ECCV Workshops (3) 2020: 152-170
[c133]
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  - conf/eccv/StrumplerYT20
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Yannick Strümpler, Ren Yang, Radu Timofte:
Learning to Improve Image Compression Without Changing the Standard Decoder. ECCV Workshops (4) 2020: 200-216
[c132]
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  - conf/eccv/BhatDGT20
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Know Your Surroundings: Exploiting Scene Information for Object Tracking. ECCV (23) 2020: 205-221
[c131]
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Andrey Ignatov, Radu Timofte, Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng, Juewen Peng, Xianrui Luo, Ke Xian, Zijin Wu, Zhiguo Cao, Densen Puthussery, C. V. Jiji, Hrishikesh P. S, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Saagara M. B, Minnu A. L, Sanjana A. R, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou:
AIM 2020 Challenge on Rendering Realistic Bokeh. ECCV Workshops (3) 2020: 213-228
[c130]
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  - conf/eccv/VolokitinSAGT20
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Anna Volokitin, Igor Susmelj, Eirikur Agustsson, Luc Van Gool, Radu Timofte:
Efficiently Detecting Plausible Locations for Object Placement Using Masked Convolutions. ECCV Workshops (4) 2020: 252-266
[c129]
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Dario Kneubuehler, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flexible Example-Based Image Enhancement with Task Adaptive Global Feature Self-guided Network. ECCV Workshops (3) 2020: 343-358
[c128]
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Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir:
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 392-422
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Evangelos Ntavelis, Andrés Romero, Iason Kastanis, Luc Van Gool, Radu Timofte:
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects. ECCV (22) 2020: 394-411
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Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, C. V. Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng:
AIM 2020: Scene Relighting and Illumination Estimation Challenge. ECCV Workshops (3) 2020: 499-518
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  - conf/eccv/KristanLMFPKDZL20
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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhen-Hua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601
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Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte:
DHP: Differentiable Meta Pruning via HyperNetworks. ECCV (8) 2020: 608-624
[c123]
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Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
SRFlow: Learning the Super-Resolution Space with Normalizing Flow. ECCV (5) 2020: 715-732
[c122]
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Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Chajin Shin, Taeoh Kim, Hanbin Son, Sangyoun Lee, Chao Li, Fu Li, Dongliang He, Shilei Wen, Errui Ding, Mengmeng Bai, Shuchen Li, Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu, Weijian Zeng, Haopeng Ni, Yiyang Cai, Chenghua Li, Dejia Xu, Haoning Wu, Yu Han, S. M. Nadim Uddin, Hae Woong Jang, Soikat Hasan Ahmed, Jungmin Yoon, Yong Ju Jung, Chu-Tak Li, Zhi-Song Liu, Li-Wen Wang, Wan-Chi Siu, Daniel Pak-Kong Lun, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Pratik Narang, Murari Mandal, Pranjal Singh Chauhan:
AIM 2020 Challenge on Image Extreme Inpainting. ECCV Workshops (3) 2020: 716-741
[c121]
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Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte:
Learning What to Learn for Video Object Segmentation. ECCV (2) 2020: 777-794
[c120]
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Alexandre Carlier, Martin Danelljan, Alexandre Alahi, Radu Timofte:
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation. NeurIPS 2020
[c119]
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Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network. NeurIPS 2020
[c118]
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Evangelos Ntavelis, Iason Kastanis, Luc Van Gool, Radu Timofte:
Same Same but Different: Augmentation of Tiny Industrial Datasets using Generative Adversarial Networks. SDS 2020: 17-22
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Dong Xu, Guo Lu, Ren Yang, Radu Timofte:
Learned image and video compression with deep neural networks. VCIP 2020: 1-3
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  - conf/wacv/Paul0GT20
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Matthieu Paul, Christoph Mayer, Luc Van Gool, Radu Timofte:
Efficient Video Semantic Segmentation with Labels Propagation and Refinement. WACV 2020: 2862-2871
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Christoph Mayer, Radu Timofte:
Adversarial Sampling for Active Learning. WACV 2020: 3060-3068
[i99]
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  - journals/corr/abs-2002-05509
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Andrey Ignatov, Luc Van Gool, Radu Timofte:
Replacing Mobile Camera ISP with a Single Deep Learning Model. CoRR abs/2002.05509 (2020)
[i98]
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Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte:
Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement. CoRR abs/2003.01966 (2020)
[i97]
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  - journals/corr/abs-2003-08935
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Yawei Li, Shuhang Gu, Christoph Mayer, Luc Van Gool, Radu Timofte:
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CoRR abs/2003.08935 (2020)
[i96]
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  - journals/corr/abs-2003-10016
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Berk Kaya, Radu Timofte:
Self-Supervised 2D Image to 3D Shape Translation with Disentangled Representations. CoRR abs/2003.10016 (2020)
[i95]
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  - journals/corr/abs-2003-10428
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Kai Zhang, Luc Van Gool, Radu Timofte:
Deep Unfolding Network for Image Super-Resolution. CoRR abs/2003.10428 (2020)
[i94]
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  - journals/corr/abs-2003-11014
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Know Your Surroundings: Exploiting Scene Information for Object Tracking. CoRR abs/2003.11014 (2020)
[i93]
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  - journals/corr/abs-2003-11540
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Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte:
Learning What to Learn for Video Object Segmentation. CoRR abs/2003.11540 (2020)
[i92]
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  - journals/corr/abs-2003-12565
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Martin Danelljan, Luc Van Gool, Radu Timofte:
Probabilistic Regression for Visual Tracking. CoRR abs/2003.12565 (2020)
[i91]
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Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte:
DHP: Differentiable Meta Pruning via HyperNetworks. CoRR abs/2003.13683 (2020)
[i90]
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  - journals/corr/abs-2004-04433
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Marcel Christoph Bühler, Andrés Romero, Radu Timofte:
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution. CoRR abs/2004.04433 (2020)
[i89]
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Evangelos Ntavelis, Andrés Romero, Iason Kastanis, Luc Van Gool, Radu Timofte:
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects. CoRR abs/2004.04977 (2020)
[i88]
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Kangning Liu, Shuhang Gu, Andrés Romero, Radu Timofte:
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning. CoRR abs/2004.06502 (2020)
[i87]
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  - journals/corr/abs-2005-01056
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Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CoRR abs/2005.01056 (2020)
[i86]
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Seungjun Nah, Sanghyun Son, Radu Timofte, Kyoung Mu Lee:
AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results. CoRR abs/2005.01233 (2020)
[i85]
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Seungjun Nah, Sanghyun Son, Radu Timofte, Kyoung Mu Lee:
NTIRE 2020 Challenge on Image and Video Deblurring. CoRR abs/2005.01244 (2020)
[i84]
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  - journals/corr/abs-2005-01698
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Fredrik K. Gustafsson, Martin Danelljan, Radu Timofte, Thomas B. Schön:
How to Train Your Energy-Based Model for Regression. CoRR abs/2005.01698 (2020)
[i83]
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  - journals/corr/abs-2005-01996
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Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, Se Young Chun, Wei Deng, Mostafa El-Khamy, Chiu Man Ho, Xiaozhong Ji, Amin Kheradmand, Gwantae Kim, Hanseok Ko, Kanghyu Lee, Jungwon Lee, Hao Li, Ziluan Liu, Zhi-Song Liu, Shuai Liu, Yunhua Lu, Zibo Meng, Pablo Navarrete Michelini, Christian Micheloni, Kalpesh Prajapati, Haoyu Ren, Yonghyeok Seo, Wan-Chi Siu, Kyung-Ah Sohn, Ying Tai, Rao Muhammad Umer, Shuangquan Wang, Huibing Wang, Timothy Haoning Wu, Haoning Wu, Biao Yang, Fuzhi Yang, Jaejun Yoo, Tongtong Zhao, Yuanbo Zhou, Haijie Zhuo, Ziyao Zong, Xueyi Zou:
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. CoRR abs/2005.01996 (2020)
[i82]
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Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen:
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results. CoRR abs/2005.02291 (2020)
[i81]
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  - journals/corr/abs-2005-03155
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Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory G. Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, Vien Gia An, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S. Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P. S, C. V. Jiji, Ashish Sinha, Xuan Zhao:
NTIRE 2020 Challenge on Image Demoireing: Methods and Results. CoRR abs/2005.03155 (2020)
[i80]
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  - journals/corr/abs-2005-03412
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Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham D. Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu Zhu, Junhui Hou, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed H. Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan sabarinathan, K. Uma, D. Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi:
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image. CoRR abs/2005.03412 (2020)
[i79]
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  - journals/corr/abs-2005-03457
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Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju-Chin Chao, Tsung-Shan Yang, Peng-Wen Chen, Po-Min Hsu, Tzu-Yi Liao, Chung-En Sun, Pei-Yuan Wu, Jeonghyeok Do, Jongmin Park, Munchurl Kim, Kareem Metwaly, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue-Yuan Chuang, Tsung-Nan Lin, David Lee, Jerome Chang, Zhan-Han Wang, Yu-Bang Chang, Chang-Hong Lin, Yu Dong, Hongyu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Jacob Whannou de Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal:
NTIRE 2020 Challenge on NonHomogeneous Dehazing. CoRR abs/2005.03457 (2020)
[i78]
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Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte:
NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images. CoRR abs/2005.03560 (2020)
[i77]
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Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yun Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar:
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. CoRR abs/2005.04117 (2020)
[i76]
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  - journals/corr/abs-2005-04661
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Mu Li, Kai Zhang, Wangmeng Zuo, Radu Timofte, David Zhang:
Learning Context-Based Non-local Entropy Modeling for Image Compression. CoRR abs/2005.04661 (2020)
[i75]
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  - journals/corr/abs-2005-06654
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Dario Kneubuehler, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network. CoRR abs/2005.06654 (2020)
[i74]
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  - journals/corr/abs-2006-05698
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Andrey Ignatov, Jagruti Patel, Radu Timofte:
Rendering Natural Camera Bokeh Effect with Deep Learning. CoRR abs/2006.05698 (2020)
[i73]
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  - journals/corr/abs-2006-13560
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Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte:
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model. CoRR abs/2006.13560 (2020)
[i72]
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  - journals/corr/abs-2006-14200
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Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
SRFlow: Learning the Super-Resolution Space with Normalizing Flow. CoRR abs/2006.14200 (2020)
[i71]
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  - journals/corr/abs-2006-15862
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Ren Yang, Luc Van Gool, Radu Timofte:
OpenDVC: An Open Source Implementation of the DVC Video Compression Method. CoRR abs/2006.15862 (2020)
[i70]
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  - journals/corr/abs-2006-16242
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Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture. CoRR abs/2006.16242 (2020)
[i69]
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  - journals/corr/abs-2007-11301
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Alexandre Carlier, Martin Danelljan, Alexandre Alahi, Radu Timofte:
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation. CoRR abs/2007.11301 (2020)
[i68]
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  - journals/corr/abs-2008-13751
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Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, Radu Timofte:
Plug-and-Play Image Restoration with Deep Denoiser Prior. CoRR abs/2008.13751 (2020)
[i67]
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  - journals/corr/abs-2009-06290
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Dario Fuoli, Zhiwu Huang, Shuhang Gu, Radu Timofte, Arnau Raventos, Aryan Esfandiari, Salah Karout, Xuan Xu, Xin Li, Xin Xiong, Jinge Wang, Pablo Navarrete Michelini, Wenhao Zhang, Dongyang Zhang, Hanwei Zhu, Dan Xia, Haoyu Chen, Jinjin Gu, Zhi Zhang, Tongtong Zhao, Shanshan Zhao, Kazutoshi Akita, Norimichi Ukita, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji:
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results. CoRR abs/2009.06290 (2020)
[i66]
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  - journals/corr/abs-2009-06943
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Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020)
[i65]
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  - journals/corr/abs-2009-07823
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Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network. CoRR abs/2009.07823 (2020)
[i64]
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  - journals/corr/abs-2009-12072
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Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir:
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. CoRR abs/2009.12072 (2020)
[i63]
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  - journals/corr/abs-2009-12798
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Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, C. Victor Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng:
AIM 2020: Scene Relighting and Illumination Estimation Challenge. CoRR abs/2009.12798 (2020)
[i62]
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  - journals/corr/abs-2009-12927
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Yannick Strümpler, Ren Yang, Radu Timofte:
Learning to Improve Image Compression without Changing the Standard Decoder. CoRR abs/2009.12927 (2020)
[i61]
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  - journals/corr/abs-2009-12987
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Sanghyun Son, Jaerin Lee, Seungjun Nah, Radu Timofte, Kyoung Mu Lee:
AIM 2020 Challenge on Video Temporal Super-Resolution. CoRR abs/2009.12987 (2020)
[i60]
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  - journals/corr/abs-2009-13940
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Cristian Cioflan, Radu Timofte:
MS-RANAS: Multi-Scale Resource-Aware Neural Architecture Search. CoRR abs/2009.13940 (2020)
[i59]
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  - journals/corr/abs-2010-00511
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Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte:
Few-Shot Classification By Few-Iteration Meta-Learning. CoRR abs/2010.00511 (2020)
[i58]
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  - journals/corr/abs-2010-01110
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Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte:
AIM 2020 Challenge on Image Extreme Inpainting. CoRR abs/2010.01110 (2020)
[i57]
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  - journals/corr/abs-2010-02315
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Andrés Romero, Luc Van Gool, Radu Timofte:
SMILE: Semantically-guided Multi-attribute Image and Layout Editing. CoRR abs/2010.02315 (2020)
[i56]
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  - journals/corr/abs-2010-11619
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Florin-Alexandru Vasluianu, Andrés Romero, Luc Van Gool, Radu Timofte:
Self-Supervised Shadow Removal. CoRR abs/2010.11619 (2020)
[i55]
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  - journals/corr/abs-2011-03577
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Philipp Andermatt, Radu Timofte:
A Weakly Supervised Convolutional Network for Change Segmentation and Classification. CoRR abs/2011.03577 (2020)
[i54]
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  - journals/corr/abs-2011-04988
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Andrey Ignatov, Radu Timofte, Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng, Juewen Peng, Xianrui Luo, Ke Xian, Zijin Wu, Zhiguo Cao, Densen Puthussery, C. Victor Jiji, Hrishikesh P. S, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Saagara M. B, Minnu A. L, Sanjana A. R, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou:
AIM 2020 Challenge on Rendering Realistic Bokeh. CoRR abs/2011.04988 (2020)
[i53]
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  - journals/corr/abs-2011-04994
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Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou:
AIM 2020 Challenge on Learned Image Signal Processing Pipeline. CoRR abs/2011.04994 (2020)
[i52]
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  - journals/corr/abs-2011-05680
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Samarth Shukla, Andrés Romero, Luc Van Gool, Radu Timofte:
Zero-Pair Image to Image Translation using Domain Conditional Normalization. CoRR abs/2011.05680 (2020)
[i51]
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  - journals/corr/abs-2012-13033
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Dario Fuoli, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement. CoRR abs/2012.13033 (2020)

2010 – 2019

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2019
[c114]
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Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte:
Tracking the Known and the Unknown by Leveraging Semantic Information. BMVC 2019: 292
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Berk Dogan, Shuhang Gu, Radu Timofte:
Exemplar Guided Face Image Super-Resolution Without Facial Landmarks. CVPR Workshops 2019: 1814-1823
[c112]
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  - conf/cvpr/NahTBHMSL19
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Seungjun Nah, Radu Timofte, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Hyeonjun Sim, Munchurl Kim, Dongwon Park, Jisoo Kim, Se Young Chun, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Rahul Kumar Gupta, Vishal M. Chudasama, Heena Patel, Kishor P. Upla, Hongfei Fan, Guo Li, Yumei Zhang, Xiang Li, Wenjie Zhang, Qingwen He, Kuldeep Purohit, A. N. Rajagopalan, Jeonghun Kim, Mohammad Tofighi, Tiantong Guo, Vishal Monga:
NTIRE 2019 Challenge on Video Deblurring: Methods and Results. CVPR Workshops 2019: 1974-1984
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Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Xiao Liu, Chao Li, Dongliang He, Yukang Ding, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwan-Young Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, Ahmet Murat Tekalp, Mustafa Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo:
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. CVPR Workshops 2019: 1985-1995
[c110]
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Seungjun Nah, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Radu Timofte, Kyoung Mu Lee:
NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study. CVPR Workshops 2019: 1996-2005
[c109]
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  - conf/cvpr/AbdelhamedTB19
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Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang, Kai Zhang, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini, Chi Li, Yang Wang, Zhiguo Cao:
NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. CVPR Workshops 2019: 2197-2210
[c108]
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Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He:
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. CVPR Workshops 2019: 2211-2223
[c107]
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Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 2019: 2224-2232
[c106]
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Shuhang Gu, Radu Timofte, Richard Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, S. Athi Narayanan, Jameer Babu Pinjari, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Akkshita Trivedi, Anil K. Saini, Santanu Chaudhury, Prasen Kumar Sharma, Priyankar Jain, Arijit Sur, Gökhan Özbulak:
NTIRE 2019 Challenge on Image Colorization: Report. CVPR Workshops 2019: 2233-2240
[c105]
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Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte, Luc Van Gool, Lei Zhang, Ming-Hsuan Yang, Tiantong Guo, Xuelu Li, Venkateswararao Cherukuri, Vishal Monga, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Dongwon Park, Se Young Chun, Ming Hong, Jinying Huang, Yizi Chen, Shuxin Chen, Bomin Wang, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Jing Liu, Sanchayan Santra, Ranjan Mondal, Bhabatosh Chanda, Peter Morales, Tzofi Klinghoffer, Le Manh Quan, Yong-Guk Kim, Xiao Liang, Runde Li, Jinshan Pan, Jinhui Tang, Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Raimondo Schettini, Simone Bianco, Flavio Piccoli, Claudio Cusano, Luigi Celona, Sunhee Hwang, Yu Seung Ma, Hyeran Byun, Subrahmanyam Murala, Akshay Dudhane, Harshjeet Singh Aulakh, Tianxiang Zheng, Tao Zhang, Weining Qin, Runnan Zhou, Shanhu Wang, Jean-Philippe Tarel, Chuansheng Wang, Jiawei Wu:
NTIRE 2019 Image Dehazing Challenge Report. CVPR Workshops 2019: 2241-2253
[c104]
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Yawei Li, Vagia Tsiminaki, Radu Timofte, Marc Pollefeys, Luc Van Gool:
3D Appearance Super-Resolution With Deep Learning. CVPR 2019: 9671-9680
[c103]
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Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Practical Full Resolution Learned Lossless Image Compression. CVPR 2019: 10629-10638
[c102]
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Casian Miron, Vasile Manta, Radu Timofte, Alexandru Pasarica, Radu-Ion Ciucu:
Efficient convolutional neural network for apparent age prediction. ICCP 2019: 259-262
[c101]
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Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool:
Generative Adversarial Networks for Extreme Learned Image Compression. ICCV 2019: 221-231
[c100]
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Shuhang Gu, Yawei Li, Luc Van Gool, Radu Timofte:
Self-Guided Network for Fast Image Denoising. ICCV 2019: 2511-2520
[c99]
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Shuhang Gu, Wen Li, Luc Van Gool, Radu Timofte:
Fast Image Restoration With Multi-Bin Trainable Linear Units. ICCV 2019: 4189-4198
[c98]
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Yawei Li, Shuhang Gu, Luc Van Gool, Radu Timofte:
Learning Filter Basis for Convolutional Neural Network Compression. ICCV 2019: 5622-5631
[c97]
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Discriminative Model Prediction for Tracking. ICCV 2019: 6181-6190
[c96]
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Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241
[c95]
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Andrés Romero, Pablo Arbeláez, Luc Van Gool, Radu Timofte:
SMIT: Stochastic Multi-Label Image-to-Image Translation. ICCV Workshops 2019: 3285-3294
[c94]
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Samarth Shukla, Luc Van Gool, Radu Timofte:
Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation. ICCV Workshops 2019: 3368-3377
[c93]
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Seungjun Nah, Heewon Kim, Bohyung Han, Ning Xu, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Wang Shen, Wenbo Bao, Guangtao Zhai, Sanghyun Son, Li Chen, Zhiyong Gao, Guannan Chen, Yunhua Lu, Ran Duan, Tong Liu, Lijie Zhang, Woon-Sung Park, Munchurl Kim, George Pisha, Radu Timofte, Eyal Naor, Lior Aloni, Kyoung Mu Lee, Li Siyao, Ze Pan, Xiangyu Xu, Wenxiu Sun, Myungsub Choi:
AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results. ICCV Workshops 2019: 3388-3398
[c92]
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Andreas Lugmayr, Martin Danelljan, Radu Timofte:
Unsupervised Learning for Real-World Super-Resolution. ICCV Workshops 2019: 3408-3416
[c91]
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Dario Fuoli, Xiaoyong Shen, Shutao Xia, Yurong Dai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Zhiwei Zhong, Shuhang Gu, Chenyang Wang, Junjun Jiang, Xianming Liu, Radu Timofte, Xin Tao, Wenbo Li, Taian Guo, Zijun Deng, Liying Lu, Tao Dai:
AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results. ICCV Workshops 2019: 3467-3475
[c90]
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Dario Fuoli, Shuhang Gu, Radu Timofte:
Efficient Video Super-Resolution through Recurrent Latent Space Propagation. ICCV Workshops 2019: 3476-3485
[c89]
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Shuhang Gu, Andreas Lugmayr, Martin Danelljan, Manuel Fritsche, Julien Lamour, Radu Timofte:
DIV8K: DIVerse 8K Resolution Image Dataset. ICCV Workshops 2019: 3512-3516
[c88]
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Shanxin Yuan, Radu Timofte, Gregory G. Slabaugh, Ales Leonardis:
AIM 2019 Challenge on Image Demoireing: Dataset and Study. ICCV Workshops 2019: 3526-3533
[c87]
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Shanxin Yuan, Zhenyong Fu, Jian Yang, Ming Hong, Wenying Lin, Wenjin Yang, Yanyun Qu, Hong-Kyu Shin, Joon-Yeon Kim, Sung-Jea Ko, Hang Dong, Radu Timofte, Yu Guo, Jie Wang, Xuan Ding, Zongyan Han, Sourya Dipta Das, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Gregory G. Slabaugh, Ales Leonardis, Bolun Zheng, Xin Ye, Xiang Tian, Yaowu Chen, Xi Cheng:
AIM 2019 Challenge on Image Demoireing: Methods and Results. ICCV Workshops 2019: 3534-3545
[c86]
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  - conf/iccvw/KayaCT19
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Berk Kaya, Yigit Baran Can, Radu Timofte:
Towards Spectral Estimation from a Single RGB Image in the Wild. ICCV Workshops 2019: 3546-3555
[c85]
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Shuhang Gu, Hanwen Liu, Dan Zhu, Tangxin Xie, Xin Yang, Chen Zhu, Jia Yu, Wenyu Sun, Xin Tao, Zijun Deng, Liying Lu, Martin Danelljan, Wenbo Li, Taian Guo, Xiaoyong Shen, Xuemiao Xu, Yu-Wing Tai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Radu Timofte, Jiayi Ma, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan, Ruofan Zhou, Majed El Helou, Kuldeep Purohit, Praveen Kandula, Muhammad Haris, Maitreya Suin, A. N. Rajagopalan, Kazutoshi Akita, Greg Shakhnarovich, Norimichi Ukita, Pablo Navarrete Michelini, Wenbin Chen:
AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results. ICCV Workshops 2019: 3556-3564
[c84]
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Kai Zhang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Shuhang Gu, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang:
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. ICCV Workshops 2019: 3565-3574
[c83]
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Andreas Lugmayr, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Martin Danelljan, Xinbo Gao, Sefi Bell-Kligler, Assaf Shocher, Michal Irani, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan:
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. ICCV Workshops 2019: 3575-3583
[c82]
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Andrey Ignatov, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Yuzhi Zhao, Lai-Man Po, Radu Timofte, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong, Chang Zhou, Wing Yin Yu, Yubin Yubin, Sung-Jea Ko, Bingxin Hou, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Seung-Wook Kim, Kwang-Hyun Uhm, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Kangfu Mei:
AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results. ICCV Workshops 2019: 3584-3590
[c81]
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Andrey Ignatov, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Zhiwei Xiong, Jie Huang, Guanting Dong, Mingde Yao, Dong Liu, Wenjin Yang, Ming Hong, Wenying Lin, Jagruti Patel, Yanyun Qu, Jae-Seok Choi, Woonsung Park, Munchurl Kim, Rui Liu, Xiangyu Mao, Chengxi Yang, Qiong Yan, Wenxiu Sun, Junkai Fang, Radu Timofte, Meimei Shang, Fei Gao, Sujoy Ghosh, Prasen Kumar Sharma, Arijit Sur, Bolun Zheng, Xin Ye, Li Huang, Xiang Tian, Saikat Dutta, Kuldeep Purohit:
AIM 2019 Challenge on Bokeh Effect Synthesis: Methods and Results. ICCV Workshops 2019: 3591-3598
[c80]
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Manuel Fritsche, Shuhang Gu, Radu Timofte:
Frequency Separation for Real-World Super-Resolution. ICCV Workshops 2019: 3599-3608
[c79]
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Sohyeong Kim, Guanju Li, Dario Fuoli, Martin Danelljan, Zhiwu Huang, Shuhang Gu, Radu Timofte:
The Vid3oC and IntVID Datasets for Video Super Resolution and Quality Mapping. ICCV Workshops 2019: 3609-3616
[c78]
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Andrey Ignatov, Radu Timofte, Andrei Kulik, Seungsoo Yang, Ke Wang, Felix Baum, Max Wu, Lirong Xu, Luc Van Gool:
AI Benchmark: All About Deep Learning on Smartphones in 2019. ICCV Workshops 2019: 3617-3635
[c77]
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Codruta O. Ancuti, Cosmin Ancuti, Mateu Sbert, Radu Timofte:
Dense-Haze: A Benchmark for Image Dehazing with Dense-Haze and Haze-Free Images. ICIP 2019: 1014-1018
[c76]
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Eirikur Agustsson, Alexander Sage, Radu Timofte, Luc Van Gool:
Optimal Transport Maps For Distribution Preserving Operations on Latent Spaces of Generative Models. ICLR (Poster) 2019
[c75]
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Asha Anoosheh, Torsten Sattler, Radu Timofte, Marc Pollefeys, Luc Van Gool:
Night-to-Day Image Translation for Retrieval-based Localization. ICRA 2019: 5958-5964
[i50]
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Mehrdad Shoeiby, Antonio Robles-Kelly, Ran Wei, Radu Timofte:
PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study. CoRR abs/1904.00540 (2019)
[i49]
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  - journals/corr/abs-1904-02904
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Codruta O. Ancuti, Cosmin Ancuti, Mateu Sbert, Radu Timofte:
Dense Haze: A benchmark for image dehazing with dense-haze and haze-free images. CoRR abs/1904.02904 (2019)
[i48]
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Discriminative Model Prediction for Tracking. CoRR abs/1904.07220 (2019)
[i47]
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  - journals/corr/abs-1906-00925
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Yawei Li, Vagia Tsiminaki, Radu Timofte, Marc Pollefeys, Luc Van Gool:
3D Appearance Super-Resolution with Deep Learning. CoRR abs/1906.00925 (2019)
[i46]
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Berk Dogan, Shuhang Gu, Radu Timofte:
Exemplar Guided Face Image Super-Resolution without Facial Landmarks. CoRR abs/1906.07078 (2019)
[i45]
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Yawei Li, Shuhang Gu, Luc Van Gool, Radu Timofte:
Learning Filter Basis for Convolutional Neural Network Compression. CoRR abs/1908.08932 (2019)
[i44]
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  - journals/corr/abs-1909-08542
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Samarth Shukla, Luc Van Gool, Radu Timofte:
Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation. CoRR abs/1909.08542 (2019)
[i43]
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Andreas Lugmayr, Martin Danelljan, Radu Timofte:
Unsupervised Learning for Real-World Super-Resolution. CoRR abs/1909.09629 (2019)
[i42]
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  - journals/corr/abs-1910-06663
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Andrey Ignatov, Radu Timofte, Andrei Kulik, Seungsoo Yang, Ke Wang, Felix Baum, Max Wu, Lirong Xu, Luc Van Gool:
AI Benchmark: All About Deep Learning on Smartphones in 2019. CoRR abs/1910.06663 (2019)
[i41]
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  - journals/corr/abs-1910-10455
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Zhiwu Huang, Danda Pani Paudel, Guanju Li, Jiqing Wu, Radu Timofte, Luc Van Gool:
Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement. CoRR abs/1910.10455 (2019)
[i40]
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  - journals/corr/abs-1911-01249
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Kai Zhang, Shuhang Gu, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang:
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. CoRR abs/1911.01249 (2019)
[i39]
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  - journals/corr/abs-1911-02498
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Shanxin Yuan, Radu Timofte, Gregory G. Slabaugh, Ales Leonardis:
AIM 2019 Challenge on Image Demoireing: Dataset and Study. CoRR abs/1911.02498 (2019)
[i38]
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  - journals/corr/abs-1911-03461
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Shanxin Yuan, Radu Timofte, Gregory G. Slabaugh, Ales Leonardis, Bolun Zheng, Xin Ye, Xiang Tian, Yaowu Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Ming Hong, Wenying Lin, Wenjin Yang, Yanyun Qu, Hong-Kyu Shin, Joon-Yeon Kim, Sung-Jea Ko, Hang Dong, Yu Guo, Jie Wang, Xuan Ding, Zongyan Han, Sourya Dipta Das, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan:
AIM 2019 Challenge on Image Demoireing: Methods and Results. CoRR abs/1911.03461 (2019)
[i37]
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  - journals/corr/abs-1911-07783
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Andreas Lugmayr, Martin Danelljan, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao, Sefi Bell-Kligler:
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. CoRR abs/1911.07783 (2019)
[i36]
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Manuel Fritsche, Shuhang Gu, Radu Timofte:
Frequency Separation for Real-World Super-Resolution. CoRR abs/1911.07850 (2019)
[i35]
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  - journals/corr/abs-1912-05524
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Prune Truong, Martin Danelljan, Radu Timofte:
GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences. CoRR abs/1912.05524 (2019)
[i34]
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  - journals/corr/abs-1912-10428
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Christoph Mayer, Matthieu Paul, Radu Timofte:
Adversarial Feature Distribution Alignment for Semi-Supervised Learning. CoRR abs/1912.10428 (2019)
[i33]
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  - journals/corr/abs-1912-11844
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Matthieu Paul, Christoph Mayer, Luc Van Gool, Radu Timofte:
Efficient Video Semantic Segmentation with Labels Propagation and Refinement. CoRR abs/1912.11844 (2019)
2018
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Radu Timofte, Luc Van Gool, Ming-Hsuan Yang, Shai Avidan, Yasuyuki Matsushita, Qingxiong Yang:
Guest Editorial: Vision and Computational Photography and Graphics. Comput. Vis. Image Underst. 168: 1-2 (2018)
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Rasmus Rothe, Radu Timofte, Luc Van Gool:
Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks. Int. J. Comput. Vis. 126(2-4): 144-157 (2018)
[c74]
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Cosmin Ancuti, Codruta O. Ancuti, Radu Timofte, Christophe De Vleeschouwer:
I-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Indoor Images. ACIVS 2018: 620-631
[c73]
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Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Kenneth Vanhoey, Luc Van Gool:
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras. CVPR Workshops 2018: 691-700
[c72]
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Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte, Christophe De Vleeschouwer:
O-HAZE: A Dehazing Benchmark With Real Hazy and Haze-Free Outdoor Images. CVPR Workshops 2018: 754-762
[c71]
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Asha Anoosheh, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
ComboGAN: Unrestrained Scalability for Image Domain Translation. CVPR Workshops 2018: 783-790
[c70]
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  - conf/cvpr/TimofteGWG18
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Radu Timofte, Shuhang Gu, Jiqing Wu, Luc Van Gool:
NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2018: 852-863
[c69]
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Cosmin Ancuti, Codruta O. Ancuti, Radu Timofte:
NTIRE 2018 Challenge on Image Dehazing: Methods and Results. CVPR Workshops 2018: 891-901
[c68]
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  - conf/cvpr/AradBT18
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Boaz Arad, Ohad Ben-Shahar, Radu Timofte:
NTIRE 2018 Challenge on Spectral Reconstruction From RGB Images. CVPR Workshops 2018: 929-938
[c67]
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  - conf/cvpr/PalssonATG18
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Sveinn Palsson, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Generative Adversarial Style Transfer Networks for Face Aging. CVPR Workshops 2018: 2084-2092
[c66]
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Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool:
Extreme Learned Image Compression with GANs. CVPR Workshops 2018: 2587-2590
[c65]
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Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Conditional Probability Models for Deep Image Compression. CVPR 2018: 4394-4402
[c64]
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  - conf/cvpr/SageATG18
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Alexander Sage, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks. CVPR 2018: 5879-5888
[c63]
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  - conf/eccv/LiAGTG18
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Yawei Li, Eirikur Agustsson, Shuhang Gu, Radu Timofte, Luc Van Gool:
CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution. ECCV Workshops (5) 2018: 166-181
[c62]
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Etienne de Stoutz, Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Luc Van Gool:
Fast Perceptual Image Enhancement. ECCV Workshops (5) 2018: 260-275
[c61]
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  - conf/eccv/ShoeibyRWT18
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Mehrdad Shoeiby, Antonio Robles-Kelly, Ran Wei, Radu Timofte:
PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study. ECCV Workshops (5) 2018: 276-287
[c60]
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Andrey Ignatov, Radu Timofte, William Chou, Ke Wang, Max Wu, Tim Hartley, Luc Van Gool:
AI Benchmark: Running Deep Neural Networks on Android Smartphones. ECCV Workshops (5) 2018: 288-314
[c59]
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  - conf/eccv/IgnatovTVLPNKCK18
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Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. ECCV Workshops (5) 2018: 315-333
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Yochai Blau, Roey Mechrez, Radu Timofte, Tomer Michaeli, Lihi Zelnik-Manor:
The 2018 PIRM Challenge on Perceptual Image Super-Resolution. ECCV Workshops (5) 2018: 334-355
[c57]
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Mehrdad Shoeiby, Antonio Robles-Kelly, Radu Timofte, Ruofan Zhou, Fayez Lahoud, Sabine Süsstrunk, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Zheng-Jun Zha, Feng Wu, Kaixuan Wei, Tao Zhang, Lizhi Wang, Ying Fu, Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian:
PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results. ECCV Workshops (5) 2018: 356-371
[c56]
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Asha Anoosheh, Eirikur Agustsson, Radu Timofte:
ComboGAN: Unrestricted Scalability for Image Domain Translation. ICLR (Workshop) 2018
[c55]
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  - conf/iclr/TorfasonMATTG18
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Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Towards Image Understanding from Deep Compression Without Decoding. ICLR (Poster) 2018
[c54]
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  - conf/icpr/GuTG18
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Shuhang Gu, Radu Timofte, Luc Van Gool:
Integrating Local and Non-local Denoiser Priors for Image Restoration. ICPR 2018: 2923-2928
[i32]
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  - journals/corr/abs-1801-04260
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Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Conditional Probability Models for Deep Image Compression. CoRR abs/1801.04260 (2018)
[i31]
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  - journals/corr/abs-1803-06131
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Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Towards Image Understanding from Deep Compression without Decoding. CoRR abs/1803.06131 (2018)
[i30]
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  - journals/corr/abs-1804-02958
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Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool:
Generative Adversarial Networks for Extreme Learned Image Compression. CoRR abs/1804.02958 (2018)
[i29]
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  - journals/corr/abs-1804-04647
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Yigit Baran Can, Radu Timofte:
An efficient CNN for spectral reconstruction from RGB images. CoRR abs/1804.04647 (2018)
[i28]
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  - journals/corr/abs-1804-05091
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Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte, Christophe De Vleeschouwer:
I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images. CoRR abs/1804.05091 (2018)
[i27]
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  - journals/corr/abs-1804-05101
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Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte, Christophe De Vleeschouwer:
O-HAZE: a dehazing benchmark with real hazy and haze-free outdoor images. CoRR abs/1804.05101 (2018)
[i26]
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  - journals/corr/abs-1807-11389
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Shuhang Gu, Radu Timofte, Luc Van Gool:
Multi-bin Trainable Linear Unit for Fast Image Restoration Networks. CoRR abs/1807.11389 (2018)
[i25]
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  - journals/corr/abs-1808-01625
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Christoph Mayer, Radu Timofte, Grégory Paul:
Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global Models. CoRR abs/1808.01625 (2018)
[i24]
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  - journals/corr/abs-1808-06671
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Christoph Mayer, Radu Timofte:
Adversarial Sampling for Active Learning. CoRR abs/1808.06671 (2018)
[i23]
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  - journals/corr/abs-1809-07517
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Yochai Blau, Roey Mechrez, Radu Timofte, Tomer Michaeli, Lihi Zelnik-Manor:
2018 PIRM Challenge on Perceptual Image Super-resolution. CoRR abs/1809.07517 (2018)
[i22]
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Asha Anoosheh, Torsten Sattler, Radu Timofte, Marc Pollefeys, Luc Van Gool:
Night-to-Day Image Translation for Retrieval-based Localization. CoRR abs/1809.09767 (2018)
[i21]
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Andrey Ignatov, Radu Timofte, William Chou, Ke Wang, Max Wu, Tim Hartley, Luc Van Gool:
AI Benchmark: Running Deep Neural Networks on Android Smartphones. CoRR abs/1810.01109 (2018)
[i20]
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Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. CoRR abs/1810.01641 (2018)
[i19]
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Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Practical Full Resolution Learned Lossless Image Compression. CoRR abs/1811.12817 (2018)
[i18]
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Berk Kaya, Yigit Baran Can, Radu Timofte:
Towards Spectral Estimation from a Single RGB Image in the Wild. CoRR abs/1812.00805 (2018)
[i17]
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Andrés Romero, Pablo Arbeláez, Luc Van Gool, Radu Timofte:
SMIT: Stochastic Multi-Label Image-to-Image Translation. CoRR abs/1812.03704 (2018)
[i16]
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Etienne de Stoutz, Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Luc Van Gool:
Fast Perceptual Image Enhancement. CoRR abs/1812.11852 (2018)
2017
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Junseok Kwon, Radu Timofte, Luc Van Gool:
Leveraging observation uncertainty for robust visual tracking. Comput. Vis. Image Underst. 158: 62-71 (2017)
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Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121
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Eirikur Agustsson, Radu Timofte:
NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study. CVPR Workshops 2017: 1122-1131
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Eirikur Agustsson, Radu Timofte, Sergio Escalera, Xavier Baró, Isabelle Guyon, Rasmus Rothe:
Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database. FG 2017: 87-94
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Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Anchored Regression Networks Applied to Age Estimation and Super Resolution. ICCV 2017: 1652-1661
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Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Kenneth Vanhoey, Luc Van Gool:
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks. ICCV 2017: 3297-3305
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Jiqing Wu, Jonas Aeschbacher, Radu Timofte:
In Defense of Shallow Learned Spectral Reconstruction from RGB Images. ICCV Workshops 2017: 471-479
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Mahdi Hajibabaei, Anna Volokitin, Radu Timofte:
Early Adaptation of Deep Priors in Age Prediction from Face Images. ICCV Workshops 2017: 1639-1647
[c46]
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Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool:
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations. NIPS 2017: 1141-1151
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Eirikur Agustsson, Radu Timofte, Luc Van Gool:
k^2 k 2 -means for Fast and Accurate Large Scale Clustering. ECML/PKDD (2) 2017: 775-791
[i15]
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Yudong Liang, Radu Timofte, Jinjun Wang, Yihong Gong, Nanning Zheng:
Single Image Super Resolution - When Model Adaptation Matters. CoRR abs/1703.10889 (2017)
[i14]
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Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool:
Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks. CoRR abs/1704.00648 (2017)
[i13]
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Jiqing Wu, Radu Timofte, Zhiwu Huang, Luc Van Gool:
On the Relation between Color Image Denoising and Classification. CoRR abs/1704.01372 (2017)
[i12]
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Andrey Ignatov, Nikolay Kobyshev, Kenneth Vanhoey, Radu Timofte, Luc Van Gool:
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks. CoRR abs/1704.02470 (2017)
[i11]
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Konstantin Chekanov, Polina Mamoshina, Roman V. Yampolskiy, Radu Timofte, Morten Scheibye-Knudsen, Alex Zhavoronkov:
Evaluating race and sex diversity in the world's largest companies using deep neural networks. CoRR abs/1707.02353 (2017)
[i10]
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Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Kenneth Vanhoey, Luc Van Gool:
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras. CoRR abs/1709.01118 (2017)
[i9]
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Eirikur Agustsson, Alexander Sage, Radu Timofte, Luc Van Gool:
Optimal transport maps for distribution preserving operations on latent spaces of Generative Models. CoRR abs/1711.01970 (2017)
[i8]
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Alexander Sage, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks. CoRR abs/1712.04407 (2017)
[i7]
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Asha Anoosheh, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
ComboGAN: Unrestrained Scalability for Image Domain Translation. CoRR abs/1712.06909 (2017)
2016
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Radu Timofte, Vincent De Smet, Luc Van Gool:
Semantic super-resolution: When and where is it useful? Comput. Vis. Image Underst. 142: 1-12 (2016)
[j7]
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Radu Timofte, Junseok Kwon, Luc Van Gool:
PICASO: PIxel correspondences and SOft match selection for real-time tracking. Comput. Vis. Image Underst. 153: 151-162 (2016)
[j6]
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Jiqing Wu, Radu Timofte, Luc Van Gool:
Demosaicing Based on Directional Difference Regression and Efficient Regression Priors. IEEE Trans. Image Process. 25(8): 3862-3874 (2016)
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Jiqing Wu, Radu Timofte, Luc Van Gool:
Generic 3D Convolutional Fusion for Image Restoration. ACCV Workshops (1) 2016: 159-176
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Robert Torfason, Eirikur Agustsson, Rasmus Rothe, Radu Timofte:
From Face Images and Attributes to Attributes. ACCV (3) 2016: 313-329
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Andreas Steger, Radu Timofte:
Failure Detection for Facial Landmark Detectors. ACCV Workshops (2) 2016: 361-376
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Michal Uricár, Radu Timofte, Rasmus Rothe, Jiri Matas, Luc Van Gool:
Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features. CVPR Workshops 2016: 730-738
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Anna Volokitin, Radu Timofte, Luc Van Gool:
Deep Features or Not: Temperature and Time Prediction in Outdoor Scenes. CVPR Workshops 2016: 1136-1144
[c39]
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Radu Timofte, Rasmus Rothe, Luc Van Gool:
Seven Ways to Improve Example-Based Single Image Super Resolution. CVPR 2016: 1865-1873
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Rasmus Rothe, Radu Timofte, Luc Van Gool:
Some Like It Hot - Visual Guidance for Preference Prediction. CVPR 2016: 5553-5561
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Till Kroeger, Radu Timofte, Dengxin Dai, Luc Van Gool:
Fast Optical Flow Using Dense Inverse Search. ECCV (4) 2016: 471-488
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Radu Timofte:
Anchored fusion for image restoration. ICPR 2016: 1412-1417
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Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Regressor Basis Learning for anchored super-resolution. ICPR 2016: 3850-3855
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Santiago Manen, Radu Timofte, Dengxin Dai, Luc Van Gool:
Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure. WACV 2016: 1-9
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Till Kroeger, Radu Timofte, Dengxin Dai, Luc Van Gool:
Fast Optical Flow using Dense Inverse Search. CoRR abs/1603.03590 (2016)
[i5]
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Eirikur Agustsson, Radu Timofte, Luc Van Gool:
k2-means for fast and accurate large scale clustering. CoRR abs/1605.09299 (2016)
[i4]
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Jiqing Wu, Radu Timofte, Luc Van Gool:
Generic 3D Convolutional Fusion for image restoration. CoRR abs/1607.07561 (2016)
[i3]
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Andreas Steger, Radu Timofte, Luc Van Gool:
Failure Detection for Facial Landmark Detectors. CoRR abs/1608.06451 (2016)
2015
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Dengxin Dai, Radu Timofte, Luc Van Gool:
Jointly Optimized Regressors for Image Super-resolution. Comput. Graph. Forum 34(2): 95-104 (2015)
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Marco Pedersoli, Radu Timofte, Tinne Tuytelaars, Luc Van Gool:
An Elastic Deformation Field Model for Object Detection and Tracking. Int. J. Comput. Vis. 111(2): 137-152 (2015)
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Radu Timofte, Luc Van Gool:
Iterative Nearest Neighbors. Pattern Recognit. 48(1): 60-72 (2015)
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Hiroto Honda, Radu Timofte, Luc Van Gool:
Make my day - high-fidelity color denoising with Near-Infrared. CVPR Workshops 2015: 82-90
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Dengxin Dai, Till Kroeger, Radu Timofte, Luc Van Gool:
Metric imitation by manifold transfer for efficient vision applications. CVPR 2015: 3527-3536
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Rasmus Rothe, Radu Timofte, Luc Van Gool:
DEX: Deep EXpectation of Apparent Age from a Single Image. ICCV Workshops 2015: 252-257
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Rasmus Rothe, Radu Timofte, Luc Van Gool:
DLDR: Deep Linear Discriminative Retrieval for Cultural Event Classification from a Single Image. ICCV Workshops 2015: 295-302
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Rasmus Rothe, Radu Timofte, Luc Van Gool:
Efficient regression priors for reducing image compression artifacts. ICIP 2015: 1543-1547
[c28]
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Jiqing Wu, Radu Timofte, Luc Van Gool:
Efficient regression priors for post-processing demosaiced images. ICIP 2015: 3495-3499
[c27]
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Till Kroeger, Dengxin Dai, Radu Timofte, Luc Van Gool:
Discovery of Sets of Mutually Orthogonal Vanishing Points in Videos. WACV Workshops 2015: 63-70
[c26]
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Jiqing Wu, Radu Timofte, Luc Van Gool:
Learned Collaborative Representations for Image Classification. WACV 2015: 456-463
[c25]
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Radu Timofte, Luc Van Gool:
Sparse Flow: Sparse Matching for Small to Large Displacement Optical Flow. WACV 2015: 1100-1106
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Rasmus Rothe, Radu Timofte, Luc Van Gool:
Some like it hot - visual guidance for preference prediction. CoRR abs/1510.07867 (2015)
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Radu Timofte, Rasmus Rothe, Luc Van Gool:
Seven ways to improve example-based single image super resolution. CoRR abs/1511.02228 (2015)
2014
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Radu Timofte, Karel Zimmermann, Luc Van Gool:
Multi-view traffic sign detection, recognition, and 3D localisation. Mach. Vis. Appl. 25(3): 633-647 (2014)
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Radu Timofte, Luc Van Gool:
Adaptive and Weighted Collaborative Representations for image classification. Pattern Recognit. Lett. 43: 127-135 (2014)
[c24]
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Radu Timofte, Vincent De Smet, Luc Van Gool:
A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution. ACCV (4) 2014: 111-126
[c23]
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Marco Pedersoli, Radu Timofte, Tinne Tuytelaars, Luc Van Gool:
Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision. CVPR 2014: 3694-3701
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Bart Verhagen, Radu Timofte, Luc Van Gool:
Scale-invariant line descriptors for wide baseline matching. WACV 2014: 493-500
2013
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Radu Timofte:
Sparse and Collaborative Representations for Computer Vision (Schaars en collaboratieve representaties voor computer vision). Katholieke Universiteit Leuven, Belgium, 2013
[c21]
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Filip Schouwenaars, Radu Timofte, Luc Van Gool:
Robust Scene Stitching in Large Scale Mobile Mapping. BMVC 2013
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Markus Mathias, Rodrigo Benenson, Radu Timofte, Luc Van Gool:
Handling Occlusions with Franken-Classifiers. ICCV 2013: 1505-1512
[c19]
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Radu Timofte, Vincent De Smet, Luc Van Gool:
Anchored Neighborhood Regression for Fast Example-Based Super-Resolution. ICCV 2013: 1920-1927
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Markus Mathias, Radu Timofte, Rodrigo Benenson, Luc Van Gool:
Traffic sign recognition - How far are we from the solution? IJCNN 2013: 1-8
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Radu Timofte, Luc Van Gool:
Efficient Loopy Belief Propagation Using the Four Color Theorem. Advanced Topics in Computer Vision 2013: 313-339
2012
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Radu Timofte, Luc Van Gool:
Automatic Stave Discovery for Musical Facsimiles. ACCV (4) 2012: 510-523
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Radu Timofte, Tinne Tuytelaars, Luc Van Gool:
Naive Bayes Image Classification: Beyond Nearest Neighbors. ACCV (1) 2012: 689-703
[c15]
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Radu Timofte, Luc Van Gool:
A Training-free Classification Framework for Textures, Writers, and Materials. BMVC 2012: 1-12
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Radu Timofte, Luc Van Gool:
Iterative Nearest Neighbors for classification and dimensionality reduction. CVPR 2012: 2456-2463
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Rodrigo Benenson, Markus Mathias, Radu Timofte, Luc Van Gool:
Pedestrian detection at 100 frames per second. CVPR 2012: 2903-2910
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Rodrigo Benenson, Markus Mathias, Radu Timofte, Luc Van Gool:
Fast Stixel Computation for Fast Pedestrian Detection. ECCV Workshops (3) 2012: 11-20
[c11]
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Bertan Günyel, Rodrigo Benenson, Radu Timofte, Luc Van Gool:
Stixels Motion Estimation without Optical Flow Computation. ECCV (6) 2012: 528-539
[c10]
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Radu Timofte, Luc Van Gool:
Weighted collaborative representation and classification of images. ICPR 2012: 1606-1610
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Vasilis Lasdas, Radu Timofte, Luc Van Gool:
Non-parametric motion-priors for flow understanding. WACV 2012: 417-424
2011
[c8]
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Radu Timofte, Luc Van Gool:
Sparse Representation Based Projections. BMVC 2011: 1-12
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Radu Timofte, Luc Van Gool:
Multi-view manhole detection, recognition, and 3D localisation. ICCV Workshops 2011: 188-195
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Rodrigo Benenson, Radu Timofte, Luc Van Gool:
Stixels estimation without depth map computation. ICCV Workshops 2011: 2010-2017
2010
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Radu Timofte, Luc Van Gool:
Four Color Theorem for Fast Early Vision. ACCV (1) 2010: 411-424
[c4]
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Jan Knopp, Mukta Prasad, Geert Willems, Radu Timofte, Luc Van Gool:
Hough Transform and 3D SURF for Robust Three Dimensional Classification. ECCV (6) 2010: 589-602
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Victor Adrian Prisacariu, Radu Timofte, Karel Zimmermann, Ian D. Reid, Luc Van Gool:
Integrating Object Detection with 3D Tracking Towards a Better Driver Assistance System. ICPR 2010: 3344-3347

2000 – 2009

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2009
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Radu Timofte, Karel Zimmermann, Luc Van Gool:
Multi-view traffic sign detection, recognition, and 3D localisation. WACV 2009: 1-8
2006
[c1]
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Radu Timofte, Ville Hautamäki, Pasi Fränti:
Speaker, Vocabulary and Context Independent Word Spotting System for Continuous Speech. ISCSLP 2006

Coauthor Index

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