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ORCIDLing Shao 0001
Person information
- affiliation: Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE
- affiliation (former): University of East Anglia, Norwich, UK
- affiliation (2014 - 2016): Northumbria University, Newcastle upon Tyne, UK
- affiliation (former): JD Artificial Intelligence Research (JDAIR), Beijing, China
- affiliation (2009 - 2014): University of Sheffield, Department of Electronic and Electrical Engineering, UK
- affiliation (2005 - 2009): Philips Research Laboratories, Eindhoven, The Netherlands
- affiliation (former): Nanjing University of Information Science and Technology, College of Electronic and Information Engineering, China
- affiliation (PhD 2007): University of Oxford, UK
- affiliation (former): University of Science and Technology of China, Anhui, China
Other persons with the same name
- Ling Shao 0002 — IBM China Research Laboratory, Beijing, China
- Ling Shao 0003 — Peking University, College of Engineering, State Key Laboratory of Turbulence and Complex Systems, Beijing, China
- Ling Shao 0004 — Lanzhou University of Technology, State Key Laboratory of Gansu Adv. Non-ferrous Metal Materials, China
- Ling Shao 0005 — University of Chinese Academy of Sciences, UCAS-Terminus AI Lab, Beijing, China
Other persons with a similar name
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2020 – today
- 2025
[j385]Chenyi Jiang
, Shidong Wang, Yang Long, Zechao Li, Haofeng Zhang, Ling Shao:
Imaginary-Connected Embedding in Complex Space for Unseen Attribute-Object Discrimination. IEEE Trans. Pattern Anal. Mach. Intell. 47(3): 1395-1413 (2025)- [j384]Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao:
DONet: Dual-Octave Network for Fast MR Image Reconstruction. IEEE Trans. Neural Networks Learn. Syst. 36(3): 3965-3975 (2025) - [i235]Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool:
Enhanced Multi-Scale Cross-Attention for Person Image Generation. CoRR abs/2501.08900 (2025) - [i234]Xingyu Miao, Haoran Duan, Yang Bai, Tejal Shah, Jun Song, Yang Long, Rajiv Ranjan, Ling Shao:
Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields. CoRR abs/2501.19084 (2025) - [i233]Guohao Huo, Ruiting Dai, Ling Shao, Hao Tang:
FE-UNet: Frequency Domain Enhanced U-Net with Segment Anything Capability for Versatile Image Segmentation. CoRR abs/2502.03829 (2025) - 2024
- [j383]Chenyi Jiang, Yuming Shen, Dubing Chen, Haofeng Zhang, Ling Shao, Philip H. S. Torr:
Estimation of Near-Instance-Level Attribute Bottleneck for Zero-Shot Learning. Int. J. Comput. Vis. 132(8): 2962-2988 (2024) - [j382]Yawen Huang, Hao Zheng, Yuexiang Li, Feng Zheng, Xiantong Zhen, Guo-Jun Qi, Ling Shao, Yefeng Zheng:
Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis. Int. J. Comput. Vis. 132(11): 4937-4953 (2024) - [j381]Xun Zhang, Yang Liu, Yuhao Dang, Xinbo Gao, Jungong Han, Ling Shao:
Adaptive Relation-Aware Network for zero-shot classification. Neural Networks 174: 106227 (2024) - [j380]Liangxi Liu, Xi Jiang, Feng Zheng, Hong Chen, Guo-Jun Qi, Heng Huang, Ling Shao:
A Bayesian Federated Learning Framework With Online Laplace Approximation. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 1-16 (2024) - [j379]Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek:
MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1464-1478 (2024) - [j378]Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool:
Graph Transformer GANs With Graph Masked Modeling for Architectural Layout Generation. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4298-4313 (2024) - [j377]Guobao Xiao, Jun Yu, Jiayi Ma, Deng-Ping Fan, Ling Shao:
Latent Semantic Consensus for Deterministic Geometric Model Fitting. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6139-6153 (2024) - [j376]Aoran Xiao, Xiaoqin Zhang, Ling Shao, Shijian Lu:
A Survey of Label-Efficient Deep Learning for 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9139-9160 (2024) - [j375]Ziyun Cai, Yawen Huang, Tengfei Zhang, Xiao-Yuan Jing, Yefeng Zheng, Ling Shao:
Attention Cycle-consistent universal network for More Universal Domain Adaptation. Pattern Recognit. 147: 110109 (2024) - [j374]Yang Liu, Yuhao Dang, Xinbo Gao, Jungong Han, Ling Shao:
Zero-shot sketch-based image retrieval via adaptive relation-aware metric learning. Pattern Recognit. 152: 110452 (2024) - [j373]Yang Liu, Keda Tao, Tianhui Tian, Xinbo Gao, Jungong Han, Ling Shao:
Transductive zero-shot learning with generative model-driven structure alignment. Pattern Recognit. 153: 110561 (2024) - [j372]Zehai Niu, Ke Lu, Jian Xue, Xiaoyu Qin, Jinbao Wang, Ling Shao:
From Methods to Applications: A Review of Deep 3D Human Motion Capture. IEEE Trans. Circuits Syst. Video Technol. 34(11): 11340-11359 (2024) - [j371]Jinyu Yang, Mingqi Gao, Feng Zheng, Xiantong Zhen, Rongrong Ji, Ling Shao, Ales Leonardis:
Weakly-Supervised RGBD Video Object Segmentation. IEEE Trans. Image Process. 33: 2158-2170 (2024) - [j370]Zhimeng Xin, Tianxu Wu, Shiming Chen, Yixiong Zou, Ling Shao, Xinge You:
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection. IEEE Trans. Image Process. 33: 5564-5576 (2024) - [j369]Xingping Dong, Tianran Ouyang, Shengcai Liao, Bo Du, Ling Shao:
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning. IEEE Trans. Image Process. 33: 5663-5675 (2024) - [j368]Ziming Cheng, Shidong Wang, Tong Xin, Tao Zhou, Haofeng Zhang, Ling Shao:
Few-Shot Medical Image Segmentation via Generating Multiple Representative Descriptors. IEEE Trans. Medical Imaging 43(6): 2202-2214 (2024) - [j367]Yang Liu, Yuhao Dang, Xinbo Gao, Jungong Han, Ling Shao:
Zero-Shot Learning With Attentive Region Embedding and Enhanced Semantics. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4220-4231 (2024) - [j366]Shiming Chen, Ziming Hong, Guo-Sen Xie, Qinmu Peng, Xinge You, Weiping Ding, Ling Shao:
GNDAN: Graph Navigated Dual Attention Network for Zero-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4516-4529 (2024) - [j365]Xi Jiang, Sheng Liu, Xili Dai, Guosheng Hu, Xingguo Huang, Yazhou Yao, Guo-Sen Xie, Ling Shao:
Deep Metric Learning Based on Meta-Mining Strategy With Semiglobal Information. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5103-5116 (2024) - [j364]Chun-Mei Feng, Yunlu Yan, Kai Yu, Yong Xu, Huazhu Fu, Jian Yang, Ling Shao:
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12251-12262 (2024) - [j363]Zhong Ji, Ping An, Xiyao Liu, Changxin Gao, Yanwei Pang, Ling Shao:
Semantic-Aware Dynamic Generation Networks for Few-Shot Human-Object Interaction Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12564-12575 (2024) - [c309]Aoran Xiao, Weihao Xuan, Heli Qi, Yun Xing, Ruijie Ren, Xiaoqin Zhang, Ling Shao, Shijian Lu:
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model. ECCV (40) 2024: 189-206 - [c308]Kai Jiang, Jiaxing Huang, Weiying Xie, Jie Lei, Yunsong Li, Ling Shao, Shijian Lu:
DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception. ECCV (82) 2024: 322-341 - [c307]Xueying Jiang, Sheng Jin, Xiaoqin Zhang, Ling Shao, Shijian Lu:
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders. NeurIPS 2024 - [c306]Kai Jiang, Jiaxing Huang, Weiying Xie, Jie Lei, Yunsong Li, Ling Shao, Shijian Lu:
Domain Adaptation for Large-Vocabulary Object Detectors. NeurIPS 2024 - [c305]Jingyi Zhang, Jiaxing Huang, Xiaoqin Zhang, Ling Shao, Shijian Lu:
Historical Test-time Prompt Tuning for Vision Foundation Models. NeurIPS 2024 - [c304]Kunhao Liu, Fangneng Zhan, Muyu Xu, Christian Theobalt, Ling Shao, Shijian Lu:
StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting. SIGGRAPH Asia Technical Communications 2024: 21:1-21:4 - [i232]Kai Jiang, Jiaxing Huang, Weiying Xie, Yunsong Li, Ling Shao, Shijian Lu:
Domain Adaptation for Large-Vocabulary Object Detectors. CoRR abs/2401.06969 (2024) - [i231]Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool:
Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation. CoRR abs/2401.07721 (2024) - [i230]Kai Jiang, Jiaxing Huang, Weiying Xie, Yunsong Li, Ling Shao, Shijian Lu:
DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception. CoRR abs/2401.08687 (2024) - [i229]Guobao Xiao, Jun Yu, Jiayi Ma, Deng-Ping Fan, Ling Shao:
Latent Semantic Consensus For Deterministic Geometric Model Fitting. CoRR abs/2403.06444 (2024) - [i228]Xueying Jiang, Sheng Jin, Xiaoqin Zhang, Ling Shao, Shijian Lu:
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders. CoRR abs/2405.07696 (2024) - [i227]Han Qiu, Jiaxing Huang, Peng Gao, Qin Qi, Xiaoqin Zhang, Ling Shao, Shijian Lu:
LongHalQA: Long-Context Hallucination Evaluation for MultiModal Large Language Models. CoRR abs/2410.09962 (2024) - [i226]Jingyi Zhang, Jiaxing Huang, Xiaoqin Zhang, Ling Shao, Shijian Lu:
Historical Test-time Prompt Tuning for Vision Foundation Models. CoRR abs/2410.20346 (2024) - [i225]Yihua Shao, Siyu Liang, Xiaolin Lin, Zijian Ling, Zixian Zhu, Minxi Yan, Haiyang Liu, Siyu Chen, Ziyang Yan, Yilan Meng, Chenyu Zhang, Haotong Qin, Michele Magno, Yang Yang, Zhen Lei, Yan Wang, Jingcai Guo, Ling Shao, Hao Tang:
GWQ: Gradient-Aware Weight Quantization for Large Language Models. CoRR abs/2411.00850 (2024) - [i224]Jiawei Mao, Yu Yang, Xuesong Yin, Ling Shao, Hao Tang:
AllRestorer: All-in-One Transformer for Image Restoration under Composite Degradations. CoRR abs/2411.10708 (2024) - [i223]Xueying Jiang, Lewei Lu, Ling Shao, Shijian Lu:
Multimodal 3D Reasoning Segmentation with Complex Scenes. CoRR abs/2411.13927 (2024) - 2023
- [j362]Ge-Peng Ji, Deng-Ping Fan, Keren Fu, Zhe Wu, Jianbing Shen, Ling Shao:
Full-duplex strategy for video object segmentation. Comput. Vis. Media 9(1): 155-175 (2023) - [j361]Hao Tang, Ling Shao, Philip H. S. Torr, Nicu Sebe:
Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis. Int. J. Comput. Vis. 131(3): 644-658 (2023) - [j360]Xiawu Zheng, Chenyi Yang, Shaokun Zhang, Yan Wang, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao, Rongrong Ji:
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning. Int. J. Comput. Vis. 131(5): 1234-1249 (2023) - [j359]Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen:
Consistency and Diversity Induced Human Motion Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 197-210 (2023) - [j358]Hao Tang, Ling Shao, Philip H. S. Torr, Nicu Sebe:
Local and Global GANs With Semantic-Aware Upsampling for Image Generation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 768-784 (2023) - [j357]Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Fast Image Restoration and Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1934-1948 (2023) - [j356]Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao:
Salient Objects in Clutter. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2344-2366 (2023) - [j355]Boulbaba Ben Amor, Sylvain Arguillère, Ling Shao:
ResNet-LDDMM: Advancing the LDDMM Framework Using Deep Residual Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3707-3720 (2023) - [j354]Mingchen Zhuge, Deng-Ping Fan, Nian Liu, Dingwen Zhang, Dong Xu, Ling Shao:
Salient Object Detection via Integrity Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3738-3752 (2023) - [j353]Jiale Cao, Yanwei Pang, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Ling Shao:
SipMaskv2: Enhanced Fast Image and Video Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3798-3812 (2023) - [j352]Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Chia-Wen Lin, Ling Shao:
SiMaN: Sign-to-Magnitude Network Binarization. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6277-6288 (2023) - [j351]Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao:
Learning Multi-Attention Context Graph for Group-Based Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7001-7018 (2023) - [j350]Xingping Dong, Jianbing Shen, Fatih Porikli, Jiebo Luo, Ling Shao:
Adaptive Siamese Tracking With a Compact Latent Network. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8049-8062 (2023) - [j349]Tinglei Feng, Yingjie Zhai, Jufeng Yang, Jie Liang, Deng-Ping Fan, Jing Zhang, Ling Shao, Dacheng Tao:
IC9600: A Benchmark Dataset for Automatic Image Complexity Assessment. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8577-8593 (2023) - [j348]Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10173-10196 (2023) - [j347]Aoran Xiao, Jiaxing Huang, Dayan Guan, Xiaoqin Zhang, Shijian Lu, Ling Shao:
Unsupervised Point Cloud Representation Learning With Deep Neural Networks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11321-11339 (2023) - [j346]Haoran Duan, Yang Long, Shidong Wang, Haofeng Zhang, Chris G. Willcocks, Ling Shao:
Dynamic Unary Convolution in Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12747-12759 (2023) - [j345]Shiming Chen, Ziming Hong, Wenjin Hou, Guo-Sen Xie, Yibing Song, Jian Zhao, Xinge You, Shuicheng Yan, Ling Shao:
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12844-12861 (2023) - [j344]Taotao Li, Zhenyu Wen, Yang Long, Zhen Hong, Shilian Zheng, Li Yu, Bo Chen, Xiaoniu Yang, Ling Shao:
The Importance of Expert Knowledge for Automatic Modulation Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13730-13748 (2023) - [j343]Akshita Gupta, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer:
Generative Multi-Label Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14611-14624 (2023) - [j342]Le Zhang, Ryutaro Tanno, Moucheng Xu, Yawen Huang, Kevin Bronik, Chen Jin, Joseph Jacob, Yefeng Zheng, Ling Shao, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander:
Learning from multiple annotators for medical image segmentation. Pattern Recognit. 138: 109400 (2023) - [j341]Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Attentional prototype inference for few-shot segmentation. Pattern Recognit. 142: 109726 (2023) - [j340]Luming Zhang, Guifeng Wang, Ming Chen, Fuji Ren, Ling Shao:
An enhanced noise-tolerant hashing for drone object detection. Pattern Recognit. 143: 109762 (2023) - [j339]Ziyun Cai, Xiao-Yuan Jing, Ling Shao:
Domain embedding transfer for unequal RGB-D image recognition. Pattern Recognit. 143: 109771 (2023) - [j338]Guo-Sen Xie, Zheng Zhang, Huan Xiong, Ling Shao, Xuelong Li:
Towards Zero-Shot Learning: A Brief Review and an Attention-Based Embedding Network. IEEE Trans. Circuits Syst. Video Technol. 33(3): 1181-1197 (2023) - [j337]Yang Liu, Xinbo Gao, Jungong Han, Ling Shao:
A Discriminative Cross-Aligned Variational Autoencoder for Zero-Shot Learning. IEEE Trans. Cybern. 53(6): 3794-3805 (2023) - [j336]Shanshan Feng, Kaiqi Zhao, Lanting Fang, Kaiyu Feng, Wei Wei, Xutao Li, Ling Shao:
H-Diffu: Hyperbolic Representations for Information Diffusion Prediction. IEEE Trans. Knowl. Data Eng. 35(9): 8784-8798 (2023) - [j335]Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Xuemeng Song, Shuo Shang, Panos Kalnis, Ling Shao:
ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity. IEEE Trans. Knowl. Data Eng. 35(9): 9140-9153 (2023) - [j334]Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu:
Specificity-Preserving Federated Learning for MR Image Reconstruction. IEEE Trans. Medical Imaging 42(7): 2010-2021 (2023) - [j333]Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu:
Multimodal Transformer for Accelerated MR Imaging. IEEE Trans. Medical Imaging 42(10): 2804-2816 (2023) - [j332]Geng Chen, Jie Qin, Boulbaba Ben Amor, Weiming Zhou, Hang Dai, Tao Zhou, Heyuan Huang, Ling Shao:
Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces. IEEE Trans. Medical Imaging 42(11): 3194-3204 (2023) - [j331]Rui Gao, Xingsong Hou, Jie Qin, Yuming Shen, Yang Long, Li Liu, Zhao Zhang, Ling Shao:
Visual-Semantic Aligned Bidirectional Network for Zero-Shot Learning. IEEE Trans. Multim. 25: 1649-1664 (2023) - [j330]Anran Zhang, Yandan Yang, Jun Xu, Xianbin Cao, Xiantong Zhen, Ling Shao:
Latent Domain Generation for Unsupervised Domain Adaptation Object Counting. IEEE Trans. Multim. 25: 1773-1783 (2023) - [j329]Shaojie Li, Mingbao Lin, Yan Wang, Fei Chao, Ling Shao, Rongrong Ji:
Learning Efficient GANs for Image Translation via Differentiable Masks and Co-Attention Distillation. IEEE Trans. Multim. 25: 3180-3189 (2023) - [j328]Ni Zhang, Nian Liu, Junwei Han, Kaiyuan Wan, Ling Shao:
Face De-Occlusion With Deep Cascade Guidance Learning. IEEE Trans. Multim. 25: 3217-3229 (2023) - [j327]Jiayi Ji, Xiaoyang Huang, Xiaoshuai Sun, Yiyi Zhou, Gen Luo, Liujuan Cao, Jianzhuang Liu, Ling Shao, Rongrong Ji:
Multi-Branch Distance-Sensitive Self-Attention Network for Image Captioning. IEEE Trans. Multim. 25: 3962-3974 (2023) - [j326]Pengcheng Gao, Ke Lu, Jian Xue, Jiayi Lyu, Ling Shao:
A Facial Landmark Detection Method Based on Deep Knowledge Transfer. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1342-1353 (2023) - [j325]Shaojie Li, Mingbao Lin, Yan Wang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji:
Distilling a Powerful Student Model via Online Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8743-8752 (2023) - [j324]Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji:
Pruning Networks With Cross-Layer Ranking & k-Reciprocal Nearest Filters. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9139-9148 (2023) - [j323]Guo-Sen Xie, Xu-Yao Zhang, Tian-Zhu Xiang, Fang Zhao, Zheng Zhang, Ling Shao, Xuelong Li:
Leveraging Balanced Semantic Embedding for Generative Zero-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9575-9582 (2023) - [j322]Geng Chen, Hang Dai, Tao Zhou, Jianbing Shen, Ling Shao:
Automatic Schelling Point Detection From Meshes. IEEE Trans. Vis. Comput. Graph. 29(6): 2926-2939 (2023) - [c303]Xiaobin Hu, Shuo Wang, Xuebin Qin, Hang Dai, Wenqi Ren, Donghao Luo, Ying Tai, Ling Shao:
High-Resolution Iterative Feedback Network for Camouflaged Object Detection. AAAI 2023: 881-889 - [c302]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 - [c301]Kangcheng Liu, Aoran Xiao, Xiaoqin Zhang, Shijian Lu, Ling Shao:
FAC: 3D Representation Learning via Foreground Aware Feature Contrast. CVPR 2023: 9476-9485 - [c300]Jiahui Zhang, Fangneng Zhan, Yingchen Yu, Kunhao Liu, Rongliang Wu, Xiaoqin Zhang, Ling Shao, Shijian Lu:
Pose-Free Neural Radiance Fields via Implicit Pose Regularization. ICCV 2023: 3511-3520 - [c299]Muyu Xu, Fangneng Zhan, Jiahui Zhang, Yingchen Yu, Xiaoqin Zhang, Christian Theobalt, Ling Shao, Shijian Lu:
WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields. ICCV 2023: 18149-18158 - [c298]Yun Xing, Jian Kang, Aoran Xiao, Jiahao Nie, Ling Shao, Shijian Lu:
Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation. NeurIPS 2023 - [i222]Xingping Dong, Jianbing Shen, Fatih Porikli, Jiebo Luo, Ling Shao:
Adaptive Siamese Tracking with a Compact Latent Network. CoRR abs/2302.00930 (2023) - [i221]Kangcheng Liu, Aoran Xiao, Xiaoqin Zhang, Shijian Lu, Ling Shao:
FAC: 3D Representation Learning via Foreground Aware Feature Contrast. CoRR abs/2303.06388 (2023) - [i220]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) - [i219]Aoran Xiao, Xiaoqin Zhang, Ling Shao, Shijian Lu:
A Survey of Label-Efficient Deep Learning for 3D Point Clouds. CoRR abs/2305.19812 (2023) - [i218]Muyu Xu, Fangneng Zhan, Jiahui Zhang, Yingchen Yu, Xiaoqin Zhang, Christian Theobalt, Ling Shao, Shijian Lu:
WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields. CoRR abs/2308.04826 (2023) - [i217]Xinghong Liu, Yi Zhou, Tao Zhou, Chun-Mei Feng, Ling Shao:
COCA: Classifier-Oriented Calibration for Source-Free Universal Domain Adaptation via Textual Prototype. CoRR abs/2308.10450 (2023) - [i216]Jiahui Zhang, Fangneng Zhan, Yingchen Yu, Kunhao Liu, Rongliang Wu, Xiaoqin Zhang, Ling Shao, Shijian Lu:
Pose-Free Neural Radiance Fields via Implicit Pose Regularization. CoRR abs/2308.15049 (2023) - [i215]Zhimeng Xin, Tianxu Wu, Shiming Chen, Yixiong Zou, Ling Shao, Xinge You:
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection. CoRR abs/2309.08196 (2023) - [i214]Yun Xing, Jian Kang, Aoran Xiao, Jiahao Nie, Ling Shao, Shijian Lu:
Bridging Semantic Gaps for Language-Supervised Semantic Segmentation. CoRR abs/2309.13505 (2023) - 2022
- [j321]Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao:
PVT v2: Improved baselines with Pyramid Vision Transformer. Comput. Vis. Media 8(3): 415-424 (2022) - [j320]Ziyun Cai, Tengfei Zhang, Xiao-Yuan Jing, Ling Shao:
Unequal adaptive visual recognition by learning from multi-modal data. Inf. Sci. 600: 1-21 (2022) - [j319]Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao:
Uncertainty-aware report generation for chest X-rays by variational topic inference. Medical Image Anal. 82: 102603 (2022) - [j318]Hisham Cholakkal, Guolei Sun, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool:
Towards Partial Supervision for Generic Object Counting in Natural Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1604-1622 (2022) - [j317]Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi:
Deep Learning for Person Re-Identification: A Survey and Outlook. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2872-2893 (2022) - [j316]Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Jie Qin, Fumin Shen, Ling Shao:
A Generalized Method for Binary Optimization: Convergence Analysis and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4524-4543 (2022) - [j315]Jiale Cao, Yanwei Pang, Jin Xie, Fahad Shahbaz Khan, Ling Shao:
From Handcrafted to Deep Features for Pedestrian Detection: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4913-4934 (2022) - [j314]Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao:
Concealed Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6024-6042 (2022) - [j313]Nian Liu, Long Li, Wangbo Zhao, Junwei Han, Ling Shao:
Instance-Level Relative Saliency Ranking With Graph Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8321-8337 (2022) - [j312]Nian Liu, Ni Zhang, Ling Shao, Junwei Han:
Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9026-9042 (2022) - [j311]Yang Liu, Xinbo Gao, Jungong Han, Li Liu, Ling Shao:
Zero-shot learning via a specific rank-controlled semantic autoencoder. Pattern Recognit. 122: 108237 (2022) - [j310]Lisha Cui, Pei Lv, Xiaoheng Jiang, Zhimin Gao, Bing Zhou, Luming Zhang, Ling Shao, Mingliang Xu:
Context-Aware Block Net for Small Object Detection. IEEE Trans. Cybern. 52(4): 2300-2313 (2022) - [j309]Luming Zhang, Yongheng Shang, Ping Li, Hao Luo, Ling Shao:
Community-Aware Photo Quality Evaluation by Deeply Encoding Human Perception. IEEE Trans. Cybern. 52(5): 3136-3146 (2022) - [j308]Ziyun Cai, Xiao-Yuan Jing, Ling Shao:
Visual-Depth Matching Network: Deep RGB-D Domain Adaptation With Unequal Categories. IEEE Trans. Cybern. 52(6): 4623-4635 (2022) - [j307]Luming Zhang, Ge Su, Jianwei Yin, Ying Li, Qiuru Lin, Xiaoqin Zhang, Ling Shao:
Bioinspired Scene Classification by Deep Active Learning With Remote Sensing Applications. IEEE Trans. Cybern. 52(7): 5682-5694 (2022) - [j306]Mang Ye, Cuiqun Chen, Jianbing Shen, Ling Shao:
Dynamic Tri-Level Relation Mining With Attentive Graph for Visible Infrared Re-Identification. IEEE Trans. Inf. Forensics Secur. 17: 386-398 (2022) - [j305]Jing Li, Qingwang Huang, Ying-Jun Du, Xiantong Zhen, Shengyong Chen, Ling Shao:
Variational Abnormal Behavior Detection With Motion Consistency. IEEE Trans. Image Process. 31: 275-286 (2022) - [j304]Mang Ye, He Li, Bo Du, Jianbing Shen, Ling Shao, Steven C. H. Hoi:
Collaborative Refining for Person Re-Identification With Label Noise. IEEE Trans. Image Process. 31: 379-391 (2022) - [j303]Tianfei Zhou, Liulei Li, Xueyi Li, Chun-Mei Feng, Jianwu Li, Ling Shao:
Group-Wise Learning for Weakly Supervised Semantic Segmentation. IEEE Trans. Image Process. 31: 799-811 (2022) - [j302]Wenhao Wang, Fang Zhao, Shengcai Liao, Ling Shao:
Attentive WaveBlock: Complementarity-Enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-Identification and Beyond. IEEE Trans. Image Process. 31: 1532-1544 (2022) - [j301]Fangneng Zhan, Yingchen Yu, Changgong Zhang, Rongliang Wu, Wenbo Hu, Shijian Lu, Feiying Ma, Xuansong Xie, Ling Shao:
GMLight: Lighting Estimation via Geometric Distribution Approximation. IEEE Trans. Image Process. 31: 2268-2278 (2022) - [j300]Qiuxia Lai, Tianfei Zhou, Salman H. Khan, Hanqiu Sun, Jianbing Shen, Ling Shao:
Weakly Supervised Visual Saliency Prediction. IEEE Trans. Image Process. 31: 3111-3124 (2022) - [j299]Tiantian Geng, Feng Zheng, Xiaorong Hou, Ke Lu, Guo-Jun Qi, Ling Shao:
Spatial-Temporal Pyramid Graph Reasoning for Action Recognition. IEEE Trans. Image Process. 31: 5484-5497 (2022) - [j298]Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Ling Shao:
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images. IEEE J. Biomed. Health Informatics 26(1): 56-66 (2022) - [j297]Jing Li, Billy Chiu, Shuo Shang, Ling Shao:
Neural Text Segmentation and its Application to Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 34(2): 828-842 (2022) - [j296]Yanhao Tan, Mohammad Muntasir Rahman, Yanfu Yan, Jian Xue, Ling Shao, Ke Lu:
Fine-Grained Categorization From RGB-D Images. IEEE Trans. Multim. 24: 917-928 (2022) - [j295]Guo-Sen Xie, Zheng Zhang, Guoshuai Liu, Fan Zhu, Li Liu, Ling Shao, Xuelong Li:
Generalized Zero-Shot Learning With Multiple Graph Adaptive Generative Networks. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2903-2915 (2022) - [j294]Luming Zhang, Xiaoqin Zhang, Mingliang Xu, Ling Shao:
Massive-Scale Aerial Photo Categorization by Cross-Resolution Visual Perception Enhancement. IEEE Trans. Neural Networks Learn. Syst. 33(8): 4017-4030 (2022) - [j293]Zhong Ji, Ping An, Xiyao Liu, Yanwei Pang, Ling Shao, Zhongfei Zhang:
Task-Oriented High-Order Context Graph Networks for Few-Shot Human-Object Interaction Recognition. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5443-5455 (2022) - [c297]Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao:
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization. AAAI 2022: 321-329 - [c296]Peng Tu, Yawen Huang, Feng Zheng, Zhenyu He, Liujuan Cao, Ling Shao:
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference. AAAI 2022: 2379-2387 - [c295]Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu, Ling Shao:
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks. CVPR 2022: 1193-1204 - [c294]Dongming Wu, Xingping Dong, Ling Shao, Jianbing Shen:
Multi-Level Representation Learning with Semantic Alignment for Referring Video Object Segmentation. CVPR 2022: 4986-4995 - [c293]Shengcai Liao, Ling Shao:
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification. CVPR 2022: 7349-7358 - [c292]Yuanwei Liu, Nian Liu, Qinglong Cao, Xiwen Yao, Junwei Han, Ling Shao:
Learning Non-target Knowledge for Few-shot Semantic Segmentation. CVPR 2022: 11563-11572 - [c291]Yunhua Zhang, Hazel Doughty, Ling Shao, Cees G. M. Snoek:
Audio-Adaptive Activity Recognition Across Video Domains. CVPR 2022: 13781-13790 - [c290]Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool:
Highly Accurate Dichotomous Image Segmentation. ECCV (18) 2022: 38-56 - [c289]Xingping Dong, Jianbing Shen, Ling Shao:
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning. ECCV (20) 2022: 169-186 - [c288]Yawen Huang, Feng Zheng, Xu Sun, Yuexiang Li, Ling Shao, Yefeng Zheng:
Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks. ECCV (34) 2022: 183-199 - [c287]Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Hierarchical Variational Memory for Few-shot Learning Across Domains. ICLR 2022 - [c286]Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Learning to Generalize across Domains on Single Test Samples. ICLR 2022 - [c285]Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao, Pheng-Ann Heng:
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection. IJCAI 2022: 1088-1094 - [c284]Aoran Xiao, Jiaxing Huang, Dayan Guan, Kaiwen Cui, Shijian Lu, Ling Shao:
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds. NeurIPS 2022 - [i213]Irtiza Hasan, Shengcai Liao, Jinpeng Li, Saad Ullah Akram, Ling Shao:
Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond. CoRR abs/2201.03176 (2022) - [i212]Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen:
Consistency and Diversity induced Human Motion Segmentation. CoRR abs/2202.04861 (2022) - [i211]Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji:
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters. CoRR abs/2202.07190 (2022) - [i210]Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Learning to Generalize across Domains on Single Test Samples. CoRR abs/2202.08045 (2022) - [i209]Hao Tang, Ling Shao, Philip H. S. Torr, Nicu Sebe:
Local and Global GANs with Semantic-Aware Upsampling for Image Generation. CoRR abs/2203.00047 (2022) - [i208]Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool:
Highly Accurate Dichotomous Image Segmentation. CoRR abs/2203.03041 (2022) - [i207]Xiaobin Hu, Deng-Ping Fan, Xuebin Qin, Hang Dai, Wenqi Ren, Ying Tai, Chengjie Wang, Ling Shao:
High-resolution Iterative Feedback Network for Camouflaged Object Detection. CoRR abs/2203.11624 (2022) - [i206]Jinyu Yang, Zhe Li, Song Yan, Feng Zheng, Ales Leonardis, Joni-Kristian Kämäräinen, Ling Shao:
RGBD Object Tracking: An In-depth Review. CoRR abs/2203.14134 (2022) - [i205]Yunhua Zhang, Hazel Doughty, Ling Shao, Cees G. M. Snoek:
Audio-Adaptive Activity Recognition Across Video Domains. CoRR abs/2203.14240 (2022) - [i204]Bing Wang, Zhengdi Yu, Bo Yang, Jie Qin, Toby P. Breckon, Ling Shao, Niki Trigoni, Andrew Markham:
RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds. CoRR abs/2204.09138 (2022) - [i203]Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao:
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization. CoRR abs/2204.11531 (2022) - [i202]Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Fast Image Restoration and Enhancement. CoRR abs/2205.01649 (2022) - [i201]Yuanwei Liu, Nian Liu, Qinglong Cao, Xiwen Yao, Junwei Han, Ling Shao:
Learning Non-target Knowledge for Few-shot Semantic Segmentation. CoRR abs/2205.04903 (2022) - [i200]Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao, Pheng-Ann Heng:
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection. CoRR abs/2207.03917 (2022) - [i199]Xingping Dong, Ling Shao, Shengcai Liao:
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning. CoRR abs/2207.06817 (2022) - [i198]Aoran Xiao, Jiaxing Huang, Dayan Guan, Kaiwen Cui, Shijian Lu, Ling Shao:
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds. CoRR abs/2208.00223 (2022) - [i197]Xingping Dong, Jianbing Shen, Ling Shao:
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning. CoRR abs/2209.13635 (2022) - [i196]Hao Tang, Ling Shao, Philip H. S. Torr, Nicu Sebe:
Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis. CoRR abs/2211.06719 (2022) - [i195]Chenyi Jiang, Dubing Chen, Shidong Wang, Yuming Shen, Haofeng Zhang, Ling Shao:
Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning. CoRR abs/2211.10647 (2022) - [i194]Dubing Chen, Haofeng Zhang, Yuming Shen, Yang Long, Ling Shao:
Evolutionary Generalized Zero-Shot Learning. CoRR abs/2211.13174 (2022) - 2021
- [j292]Jiale Li, Yu Sun, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao:
P2V-RCNN: Point to Voxel Feature Learning for 3D Object Detection From Point Clouds. IEEE Access 9: 98249-98260 (2021) - [j291]Jin Xie, Yanwei Pang, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
PSC-Net: learning part spatial co-occurrence for occluded pedestrian detection. Sci. China Inf. Sci. 64(2) (2021) - [j290]Jinbao Wang, Shujie Tan, Xiantong Zhen, Shuo Xu, Feng Zheng, Zhenyu He, Ling Shao:
Deep 3D human pose estimation: A review. Comput. Vis. Image Underst. 210: 103225 (2021) - [j289]Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
RGB-D salient object detection: A survey. Comput. Vis. Media 7(1): 37-69 (2021) - [j288]Haibo Jin, Shengcai Liao, Ling Shao:
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild. Int. J. Comput. Vis. 129(12): 3174-3194 (2021) - [j287]Jipeng Wu, Rongrong Ji, Jianzhuang Liu, Mingliang Xu, Jiawen Zheng, Ling Shao, Qi Tian:
Real-time semantic segmentation via sequential knowledge distillation. Neurocomputing 439: 134-145 (2021) - [j286]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Learning digital camera pipeline for extreme low-light imaging. Neurocomputing 452: 37-47 (2021) - [j285]Weiwei Wang, Haofeng Zhang, Zheng Zhang, Li Liu, Ling Shao:
Sparse graph based self-supervised hashing for scalable image retrieval. Inf. Sci. 547: 622-640 (2021) - [j284]Yuan Huang, Xingsong Hou, Yujie Dun, Jie Qin, Li Liu, Xueming Qian, Ling Shao:
Learning Deformable and Attentive Network for image restoration. Knowl. Based Syst. 231: 107384 (2021) - [j283]Nuhman ul Haq, Ahmad Khan, Zia ur Rehman, Ahmad Din, Ling Shao, Sajid Shah:
A novel weight initialization with adaptive hyper-parameters for deep semantic segmentation. Multim. Tools Appl. 80(14): 21771-21787 (2021) - [j282]Haofeng Zhang, Yinduo Wang, Yang Long, Longzhi Yang, Ling Shao:
Modality independent adversarial network for generalized zero shot image classification. Neural Networks 134: 11-22 (2021) - [j281]Xingping Dong, Jianbing Shen, Wenguan Wang, Ling Shao, Haibin Ling, Fatih Porikli:
Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1515-1529 (2021) - [j280]Aamir Mustafa, Salman H. Khan, Munawar Hayat, Roland Goecke, Jianbing Shen, Ling Shao:
Deeply Supervised Discriminative Learning for Adversarial Defense. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3154-3166 (2021) - [j279]Ping Li, Qinghao Ye, Luming Zhang, Li Yuan, Xianghua Xu, Ling Shao:
Exploring global diverse attention via pairwise temporal relation for video summarization. Pattern Recognit. 111: 107677 (2021) - [j278]Qian Chen, Keren Fu, Ze Liu, Geng Chen, Hongwei Du, Bensheng Qiu, Ling Shao:
EF-Net: A novel enhancement and fusion network for RGB-D saliency detection. Pattern Recognit. 112: 107740 (2021) - [j277]Haofeng Zhang, Haoyue Bai, Yang Long, Li Liu, Ling Shao:
A plug-in attribute correction module for generalized zero-shot learning. Pattern Recognit. 112: 107767 (2021) - [j276]Yang Liu, Xinbo Gao, Quanxue Gao, Jungong Han, Ling Shao:
Relation-based Discriminative Cooperation Network for Zero-Shot Classification. Pattern Recognit. 118: 108024 (2021) - [j275]Jun Xu, Mengyang Yu, Ling Shao, Wangmeng Zuo, Deyu Meng, Lei Zhang, David Zhang:
Scaled Simplex Representation for Subspace Clustering. IEEE Trans. Cybern. 51(3): 1493-1505 (2021) - [j274]Luming Zhang, Ronghua Liang, Jianwei Yin, Dongxiang Zhang, Ling Shao:
Scene Categorization by Deeply Learning Gaze Behavior in a Semisupervised Context. IEEE Trans. Cybern. 51(8): 4265-4276 (2021) - [j273]Shidong Wang, Yi Ren, Gerard Parr, Yu Guan, Ling Shao:
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization. IEEE Trans. Geosci. Remote. Sens. 59(8): 6549-6561 (2021) - [j272]Mang Ye, Jianbing Shen, Ling Shao:
Visible-Infrared Person Re-Identification via Homogeneous Augmented Tri-Modal Learning. IEEE Trans. Inf. Forensics Secur. 16: 728-739 (2021) - [j271]Yazhao Li, Yanwei Pang, Jiale Cao, Jianbing Shen, Ling Shao:
Improving Single Shot Object Detection With Feature Scale Unmixing. IEEE Trans. Image Process. 30: 2708-2721 (2021) - [j270]Jin Xie, Yanwei Pang, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
Mask-Guided Attention Network and Occlusion-Sensitive Hard Example Mining for Occluded Pedestrian Detection. IEEE Trans. Image Process. 30: 3872-3884 (2021) - [j269]Hongsong Wang, Shengcai Liao, Ling Shao:
AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection. IEEE Trans. Image Process. 30: 4046-4056 (2021) - [j268]Guo-Sen Xie, Xu-Yao Zhang, Yazhou Yao, Zheng Zhang, Fang Zhao, Ling Shao:
VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning. IEEE Trans. Image Process. 30: 4316-4329 (2021) - [j267]Biao Qian, Yang Wang, Richang Hong, Meng Wang, Ling Shao:
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition. IEEE Trans. Image Process. 30: 4894-4904 (2021) - [j266]Nian Liu, Wangbo Zhao, Ling Shao, Junwei Han:
SCG: Saliency and Contour Guided Salient Instance Segmentation. IEEE Trans. Image Process. 30: 5862-5874 (2021) - [j265]Jinbao Wang, Shuo Xu, Feng Zheng, Ke Lu, Jingkuan Song, Ling Shao:
Learning Efficient Hash Codes for Fast Graph-Based Data Similarity Retrieval. IEEE Trans. Image Process. 30: 6321-6334 (2021) - [j264]Zan Chen, Wenlong Guo, Yuanjing Feng, Yongqiang Li, Changchen Zhao, Yi Ren, Ling Shao:
Deep-Learned Regularization and Proximal Operator for Image Compressive Sensing. IEEE Trans. Image Process. 30: 7112-7126 (2021) - [j263]Luming Zhang, Zhigeng Pan, Ling Shao:
Semi-Supervised Perception Augmentation for Aerial Photo Topologies Understanding. IEEE Trans. Image Process. 30: 7803-7814 (2021) - [j262]Yingjie Zhai, Deng-Ping Fan, Jufeng Yang, Ali Borji, Ling Shao, Junwei Han, Liang Wang:
Bifurcated Backbone Strategy for RGB-D Salient Object Detection. IEEE Trans. Image Process. 30: 8727-8742 (2021) - [j261]Shiyu Liu, Haofeng Zhang, Ling Shao, Jingyu Yang:
Built-in Depth-Semantic Coupled Encoding for Scene Parsing, Vehicle Detection, and Road Segmentation. IEEE Trans. Intell. Transp. Syst. 22(9): 5520-5534 (2021) - [j260]Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao:
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. IEEE Trans. Medical Imaging 40(3): 818-828 (2021) - [j259]Ziyi Shen, Huazhu Fu, Jianbing Shen, Ling Shao:
Modeling and Enhancing Low-Quality Retinal Fundus Images. IEEE Trans. Medical Imaging 40(3): 996-1006 (2021) - [j258]Yi Zhou, Tianfei Zhou, Tao Zhou, Huazhu Fu, Jiacheng Liu, Ling Shao:
Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning. IEEE Trans. Medical Imaging 40(4): 1196-1206 (2021) - [j257]Dwarikanath Mahapatra, Alexander Pollinger, Ling Shao, Mauricio Reyes:
Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation. IEEE Trans. Medical Imaging 40(10): 2548-2562 (2021) - [j256]Pengcheng Gao, Ke Lu, Jian Xue, Ling Shao, Jiayi Lyu:
A Coarse-to-Fine Facial Landmark Detection Method Based on Self-attention Mechanism. IEEE Trans. Multim. 23: 926-938 (2021) - [j255]Qiuxia Lai, Salman H. Khan, Yongwei Nie, Hanqiu Sun, Jianbing Shen, Ling Shao:
Understanding More About Human and Machine Attention in Deep Neural Networks. IEEE Trans. Multim. 23: 2086-2099 (2021) - [j254]Haofeng Zhang, Yifan Gu, Yazhou Yao, Zheng Zhang, Li Liu, Jian Zhang, Ling Shao:
Deep Unsupervised Self-Evolutionary Hashing for Image Retrieval. IEEE Trans. Multim. 23: 3400-3413 (2021) - [j253]Jun Xu, Zhi-Ang Liu, Yingkun Hou, Xiantong Zhen, Ling Shao, Ming-Ming Cheng:
Pixel-Level Non-local Image Smoothing With Objective Evaluation. IEEE Trans. Multim. 23: 4065-4078 (2021) - [j252]Chengcheng Yang, Dong Deng, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
Internal and external memory set containment join. VLDB J. 30(3): 447-470 (2021) - [j251]Chengcheng Yang, Dong Deng, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
Correction to: Internal and external memory set containment join. VLDB J. 30(5): 907 (2021) - [c283]Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao:
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. AAAI 2021: 116-124 - [c282]Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao:
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. AAAI 2021: 768-776 - [c281]Ke Sun, Hong Liu, Qixiang Ye, Yue Gao, Jianzhuang Liu, Ling Shao, Rongrong Ji:
Domain General Face Forgery Detection by Learning to Weight. AAAI 2021: 2638-2646 - [c280]Ziyun Cai, Tengfei Zhang, Xiao-Yuan Jing, Ling Shao:
Grand Unified Domain Adaptation. BMVC 2021: 149 - [c279]Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, Ling Shao:
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. BMVC 2021: 207 - [c278]Wenhao Wang, Shengcai Liao, Fang Zhao, Cuicui Kang, Ling Shao:
DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations. BMVC 2021: 355 - [c277]Guo-Sen Xie, Jie Liu, Huan Xiong, Ling Shao:
Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation. CVPR 2021: 5475-5484 - [c276]Yawen Huang, Feng Zheng, Danyang Wang, Weilin Huang, Matthew R. Scott, Ling Shao:
Brain Image Synthesis With Unsupervised Multivariate Canonical CSCl4Net. CVPR 2021: 5881-5890 - [c275]Shujie Luo, Hang Dai, Ling Shao, Yong Ding:
M3DSSD: Monocular 3D Single Stage Object Detector. CVPR 2021: 6145-6154 - [c274]Tianfei Zhou, Jianwu Li, Xueyi Li, Ling Shao:
Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation. CVPR 2021: 6985-6994 - [c273]Yichao Yan, Jinpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao:
Anchor-Free Person Search. CVPR 2021: 7690-7699 - [c272]Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao:
Group Whitening: Balancing Learning Efficiency and Representational Capacity. CVPR 2021: 9512-9521 - [c271]Irtiza Hasan, Shengcai Liao, Jinpeng Li, Saad Ullah Akram, Ling Shao:
Generalizable Pedestrian Detection: The Elephant in the Room. CVPR 2021: 11328-11337 - [c270]Qi Fan, Deng-Ping Fan, Huazhu Fu, Chi-Keung Tang, Ling Shao, Yu-Wing Tai:
Group Collaborative Learning for Co-Salient Object Detection. CVPR 2021: 12288-12298 - [c269]Mingchen Zhuge, Dehong Gao, Deng-Ping Fan, Linbo Jin, Ben Chen, Haoming Zhou, Minghui Qiu, Ling Shao:
Kaleido-BERT: Vision-Language Pre-Training on Fashion Domain. CVPR 2021: 12647-12657 - [c268]Yunhua Zhang, Ling Shao, Cees G. M. Snoek:
Repetitive Activity Counting by Sight and Sound. CVPR 2021: 14070-14079 - [c267]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Multi-Stage Progressive Image Restoration. CVPR 2021: 14821-14831 - [c266]Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen:
Learning To Fuse Asymmetric Feature Maps in Siamese Trackers. CVPR 2021: 16570-16580 - [c265]Shiming Chen, Wenjie Wang, Beihao Xia, Qinmu Peng, Xinge You, Feng Zheng, Ling Shao:
FREE: Feature Refinement for Generalized Zero-Shot Learning. ICCV 2021: 122-131 - [c264]Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao:
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions. ICCV 2021: 548-558 - [c263]Jie Hu, Liujuan Cao, Tong Tong, Qixiang Ye, Shengchuan Zhang, Ke Li, Feiyue Huang, Ling Shao, Rongrong Ji:
Architecture Disentanglement for Deep Neural Networks. ICCV 2021: 652-661 - [c262]Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu, Ling Shao:
Visual-Textual Attentive Semantic Consistency for Medical Report Generation. ICCV 2021: 3965-3974 - [c261]Ni Zhang, Junwei Han, Nian Liu, Ling Shao:
Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection. ICCV 2021: 4147-4156 - [c260]Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes, Ling Shao:
RGB-D Saliency Detection via Cascaded Mutual Information Minimization. ICCV 2021: 4318-4327 - [c259]Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao:
Specificity-preserving RGB-D Saliency Detection. ICCV 2021: 4661-4671 - [c258]Nian Liu, Wangbo Zhao, Dingwen Zhang, Junwei Han, Ling Shao:
Light Field Saliency Detection with Dual Local Graph Learning and Reciprocative Guidance. ICCV 2021: 4692-4701 - [c257]Nian Liu, Ni Zhang, Kaiyuan Wan, Ling Shao, Junwei Han:
Visual Saliency Transformer. ICCV 2021: 4702-4712 - [c256]Ge-Peng Ji, Keren Fu, Zhe Wu, Deng-Ping Fan, Jianbing Shen, Ling Shao:
Full-Duplex Strategy for Video Object Segmentation. ICCV 2021: 4902-4913 - [c255]Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji:
ReCU: Reviving the Dead Weights in Binary Neural Networks. ICCV 2021: 5178-5188 - [c254]Hongjun Chen, Jinbao Wang, Hong Cai Chen, Xiantong Zhen, Feng Zheng, Rongrong Ji, Ling Shao:
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation. ICCV 2021: 6900-6909 - [c253]Guo-Sen Xie, Huan Xiong, Jie Liu, Yazhou Yao, Ling Shao:
Few-Shot Semantic Segmentation with Cyclic Memory Network. ICCV 2021: 7273-7282 - [c252]Yi Zhou, Lei Huang, Tao Zhou, Ling Shao:
CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis. ICCV 2021: 8240-8250 - [c251]Sanath Narayan, Akshita Gupta, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Mubarak Shah:
Discriminative Region-based Multi-Label Zero-Shot Learning. ICCV 2021: 8711-8720 - [c250]Fang Zhao, Wenhao Wang, Shengcai Liao, Ling Shao:
Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction. ICCV 2021: 12654-12663 - [c249]Fangneng Zhan, Changgong Zhang, Wenbo Hu, Shijian Lu, Feiying Ma, Xuansong Xie, Ling Shao:
Sparse Needlets for Lighting Estimation with Spherical Transport Loss. ICCV 2021: 12810-12819 - [c248]Sanath Narayan, Hisham Cholakkal, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations. ICCV 2021: 13588-13597 - [c247]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, Zhenhua 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 - [c246]Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains. ICLR 2021 - [c245]Ziyun Cai, Jie Song, Tengfei Zhang, Xiao-Yuan Jing, Ling Shao:
Dual Contrastive Universal Adaptation Network. ICME 2021: 1-6 - [c244]Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees Snoek:
Kernel Continual Learning. ICML 2021: 2621-2631 - [c243]Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees Snoek:
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. ICML 2021: 11351-11361 - [c242]Xiaohong Zhang, Haofeng Zhang, Jianfeng Lu, Ling Shao, Jingyu Yang:
Target-targeted Domain Adaptation for Unsupervised Semantic Segmentation. ICRA 2021: 13560-13566 - [c241]Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Knowledge Distillation for Disease Classification in Chest X-Rays. IPMI 2021: 334-345 - [c240]Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha, Ling Shao:
Progressively Normalized Self-Attention Network for Video Polyp Segmentation. MICCAI (1) 2021: 142-152 - [c239]Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Topic Inference for Chest X-Ray Report Generation. MICCAI (3) 2021: 625-635 - [c238]Jiale Li, Hang Dai, Ling Shao, Yong Ding:
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud. ACM Multimedia 2021: 553-562 - [c237]Jiale Li, Hang Dai, Ling Shao, Yong Ding:
From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder. ACM Multimedia 2021: 4622-4631 - [c236]Shengcai Liao, Ling Shao:
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification. NeurIPS 2021: 1992-2003 - [c235]Shiming Chen, Guo-Sen Xie, Yang Liu, Qinmu Peng, Baigui Sun, Hao Li, Xinge You, Ling Shao:
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning. NeurIPS 2021: 16622-16634 - [c234]Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Multi-Task Learning with Gumbel-Softmax Priors. NeurIPS 2021: 21031-21042 - [c233]Yuming Shen, Ziyi Shen, Menghan Wang, Jie Qin, Philip H. S. Torr, Ling Shao:
You Never Cluster Alone. NeurIPS 2021: 27734-27746 - [c232]Haochen Wang, Yandan Yang, Xianbin Cao, Xiantong Zhen, Cees Snoek, Ling Shao:
Variational Prototype Inference for Few-Shot Semantic Segmentation. WACV 2021: 525-534 - [i193]Aditya Arora, Muhammad Haris, Syed Waqas Zamir, Munawar Hayat, Fahad Shahbaz Khan, Ling Shao, Ming-Hsuan Yang:
Low Light Image Enhancement via Global and Local Context Modeling. CoRR abs/2101.00850 (2021) - [i192]Xuebin Qin, Deng-Ping Fan, Chenyang Huang, Cyril Diagne, Zichen Zhang, Adrià Cabeza Sant'Anna, Albert Suàrez, Martin Jägersand, Ling Shao:
Boundary-Aware Segmentation Network for Mobile and Web Applications. CoRR abs/2101.04704 (2021) - [i191]Mingchen Zhuge, Deng-Ping Fan, Nian Liu, Dingwen Zhang, Dong Xu, Ling Shao:
Salient Object Detection via Integrity Learning. CoRR abs/2101.07663 (2021) - [i190]Akshita Gupta, Sanath Narayan, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer:
Generative Multi-Label Zero-Shot Learning. CoRR abs/2101.11606 (2021) - [i189]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Multi-Stage Progressive Image Restoration. CoRR abs/2102.02808 (2021) - [i188]Boulbaba Ben Amor, Sylvain Arguillère, Ling Shao:
ResNet-LDDMM: Advancing the LDDMM Framework Using Deep Residual Networks. CoRR abs/2102.07951 (2021) - [i187]Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Mingliang Xu, Chia-Wen Lin, Ling Shao:
SiMaN: Sign-to-Magnitude Network Binarization. CoRR abs/2102.07981 (2021) - [i186]Fangneng Zhan, Yingchen Yu, Rongliang Wu, Changgong Zhang, Shijian Lu, Ling Shao, Feiying Ma, Xuansong Xie:
GMLight: Lighting Estimation via Geometric Distribution Approximation. CoRR abs/2102.10244 (2021) - [i185]Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao:
Concealed Object Detection. CoRR abs/2102.10274 (2021) - [i184]Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao:
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions. CoRR abs/2102.12122 (2021) - [i183]Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao:
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. CoRR abs/2102.13269 (2021) - [i182]Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Knowledge Distillation for Disease Classification in Chest X-Rays. CoRR abs/2103.10825 (2021) - [i181]Yawen Huang, Feng Zheng, Danyang Wang, Weilin Huang, Matthew R. Scott, Ling Shao:
Brain Image Synthesis with Unsupervised Multivariate Canonical CSC𝓁4Net. CoRR abs/2103.11587 (2021) - [i180]Yichao Yan, Jingpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao:
Anchor-Free Person Search. CoRR abs/2103.11617 (2021) - [i179]Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji:
ReCU: Reviving the Dead Weights in Binary Neural Networks. CoRR abs/2103.12369 (2021) - [i178]Yunhua Zhang, Ling Shao, Cees G. M. Snoek:
Repetitive Activity Counting by Sight and Sound. CoRR abs/2103.13096 (2021) - [i177]Shujie Luo, Hang Dai, Ling Shao, Yong Ding:
M3DSSD: Monocular 3D Single Stage Object Detector. CoRR abs/2103.13164 (2021) - [i176]Shaojie Li, Mingbao Lin, Yan Wang, Feiyue Huang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji:
Distilling a Powerful Student Model via Online Knowledge Distillation. CoRR abs/2103.14473 (2021) - [i175]Mingchen Zhuge, Dehong Gao, Deng-Ping Fan, Linbo Jin, Ben Chen, Haoming Zhou, Minghui Qiu, Ling Shao:
Kaleido-BERT: Vision-Language Pre-training on Fashion Domain. CoRR abs/2103.16110 (2021) - [i174]Qi Fan, Deng-Ping Fan, Huazhu Fu, Chi-Keung Tang, Ling Shao, Yu-Wing Tai:
Group Collaborative Learning for Co-Salient Object Detection. CoRR abs/2104.01108 (2021) - [i173]Shengcai Liao, Ling Shao:
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification. CoRR abs/2104.01546 (2021) - [i172]Tianfei Zhou, Jianwu Li, Xueyi Li, Ling Shao:
Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation. CoRR abs/2104.04782 (2021) - [i171]Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao:
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. CoRR abs/2104.05345 (2021) - [i170]Bin Ren, Hao Tang, Fanyang Meng, Runwei Ding, Ling Shao, Philip H. S. Torr, Nicu Sebe:
Cloth Interactive Transformer for Virtual Try-On. CoRR abs/2104.05519 (2021) - [i169]Nian Liu, Ni Zhang, Kaiyuan Wan, Junwei Han, Ling Shao:
Visual Saliency Transformer. CoRR abs/2104.12099 (2021) - [i168]Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao:
Learning Multi-Attention Context Graph for Group-Based Re-Identification. CoRR abs/2104.14236 (2021) - [i167]Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao:
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification. CoRR abs/2104.14913 (2021) - [i166]Jie Hu, Liujuan Cao, Yao Lu, Shengchuan Zhang, Yan Wang, Ke Li, Feiyue Huang, Ling Shao, Rongrong Ji:
ISTR: End-to-End Instance Segmentation with Transformers. CoRR abs/2105.00637 (2021) - [i165]Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao:
Salient Objects in Clutter. CoRR abs/2105.03053 (2021) - [i164]Ying-Jun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek:
MetaKernel: Learning Variational Random Features with Limited Labels. CoRR abs/2105.03781 (2021) - [i163]Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. CoRR abs/2105.04030 (2021) - [i162]Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao:
DONet: Dual-Octave Network for Fast MR Image Reconstruction. CoRR abs/2105.05980 (2021) - [i161]Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Attentional Prototype Inference for Few-Shot Semantic Segmentation. CoRR abs/2105.06668 (2021) - [i160]Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha, Ling Shao:
Progressively Normalized Self-Attention Network for Video Polyp Segmentation. CoRR abs/2105.08468 (2021) - [i159]Haibo Jin, Jinpeng Li, Shengcai Liao, Ling Shao:
When Liebig's Barrel Meets Facial Landmark Detection: A Practical Model. CoRR abs/2105.13150 (2021) - [i158]Guanglei Yang, Hao Tang, Zhun Zhong, Mingli Ding, Ling Shao, Nicu Sebe, Elisa Ricci:
Transformer-Based Source-Free Domain Adaptation. CoRR abs/2105.14138 (2021) - [i157]Shengcai Liao, Ling Shao:
Transformer-Based Deep Image Matching for Generalizable Person Re-identification. CoRR abs/2105.14432 (2021) - [i156]Yuming Shen, Ziyi Shen, Menghan Wang, Jie Qin, Philip H. S. Torr, Ling Shao:
You Never Cluster Alone. CoRR abs/2106.01908 (2021) - [i155]Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu, Ling Shao:
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks. CoRR abs/2106.02885 (2021) - [i154]Hongsong Wang, Shengcai Liao, Ling Shao:
AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection. CoRR abs/2106.05499 (2021) - [i153]Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Xiaokang Yang, Ling Shao:
Exploring Visual Context for Weakly Supervised Person Search. CoRR abs/2106.10506 (2021) - [i152]Fangneng Zhan, Changgong Zhang, Wenbo Hu, Shijian Lu, Feiying Ma, Xuansong Xie, Ling Shao:
Sparse Needlets for Lighting Estimation with Spherical Transport Loss. CoRR abs/2106.13090 (2021) - [i151]Li Li, Huazhu Fu, Bo Han, Cheng-Zhong Xu, Ling Shao:
Federated Noisy Client Learning. CoRR abs/2106.13239 (2021) - [i150]Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao:
PVTv2: Improved Baselines with Pyramid Vision Transformer. CoRR abs/2106.13797 (2021) - [i149]Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao:
Accelerated Multi-Modal MR Imaging with Transformers. CoRR abs/2106.14248 (2021) - [i148]Peng Tu, Yawen Huang, Rongrong Ji, Feng Zheng, Ling Shao:
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference. CoRR abs/2106.15064 (2021) - [i147]Fangneng Zhan, Yingchen Yu, Rongliang Wu, Kaiwen Cui, Aoran Xiao, Shijian Lu, Ling Shao:
Bi-level Feature Alignment for Versatile Image Translation and Manipulation. CoRR abs/2107.03021 (2021) - [i146]Nian Liu, Long Li, Wangbo Zhao, Junwei Han, Ling Shao:
Instance-Level Relative Saliency Ranking with Graph Reasoning. CoRR abs/2107.03824 (2021) - [i145]Jinpeng Li, Yichao Yan, Shengcai Liao, Xiaokang Yang, Ling Shao:
Local-to-Global Self-Attention in Vision Transformers. CoRR abs/2107.04735 (2021) - [i144]Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, Ling Shao:
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. CoRR abs/2107.05622 (2021) - [i143]Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Kernel Continual Learning. CoRR abs/2107.05757 (2021) - [i142]Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Topic Inference for Chest X-Ray Report Generation. CoRR abs/2107.07314 (2021) - [i141]Yi Zhang, Fang-Yi Chao, Ge-Peng Ji, Deng-Ping Fan, Lu Zhang, Ling Shao:
ASOD60K: Audio-Induced Salient Object Detection in Panoramic Videos. CoRR abs/2107.11629 (2021) - [i140]Shiming Chen, Wenjie Wang, Beihao Xia, Qinmu Peng, Xinge You, Feng Zheng, Ling Shao:
FREE: Feature Refinement for Generalized Zero-Shot Learning. CoRR abs/2107.13807 (2021) - [i139]Ge-Peng Ji, Keren Fu, Zhe Wu, Deng-Ping Fan, Jianbing Shen, Ling Shao:
Full-Duplex Strategy for Video Object Segmentation. CoRR abs/2108.03151 (2021) - [i138]Jiale Li, Hang Dai, Ling Shao, Yong Ding:
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud. CoRR abs/2108.03634 (2021) - [i137]Jiale Li, Hang Dai, Ling Shao, Yong Ding:
From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder. CoRR abs/2108.03648 (2021) - [i136]Bo Dong, Wenhai Wang, Deng-Ping Fan, Jinpeng Li, Huazhu Fu, Ling Shao:
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers. CoRR abs/2108.06932 (2021) - [i135]Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao:
Specificity-preserving RGB-D Saliency Detection. CoRR abs/2108.08162 (2021) - [i134]Fang Zhao, Wenhao Wang, Shengcai Liao, Ling Shao:
Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction. CoRR abs/2108.08478 (2021) - [i133]Sanath Narayan, Akshita Gupta, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Mubarak Shah:
Discriminative Region-based Multi-Label Zero-Shot Learning. CoRR abs/2108.09301 (2021) - [i132]Hongjun Chen, Jinbao Wang, Hong Cai Chen, Xiantong Zhen, Feng Zheng, Rongrong Ji, Ling Shao:
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation. CoRR abs/2108.13393 (2021) - [i131]Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, Ling Shao:
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. CoRR abs/2109.01664 (2021) - [i130]Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes, Ling Shao:
RGB-D Saliency Detection via Cascaded Mutual Information Minimization. CoRR abs/2109.07246 (2021) - [i129]Shiming Chen, Guo-Sen Xie, Qinmu Peng, Yang Liu, Baigui Sun, Hao Li, Xinge You, Ling Shao:
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning. CoRR abs/2109.15163 (2021) - [i128]Ni Zhang, Junwei Han, Nian Liu, Ling Shao:
Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection. CoRR abs/2110.00338 (2021) - [i127]Nian Liu, Wangbo Zhao, Dingwen Zhang, Junwei Han, Ling Shao:
Light Field Saliency Detection with Dual Local Graph Learning andReciprocative Guidance. CoRR abs/2110.00698 (2021) - [i126]Chun-Mei Feng, Huazhu Fu, Tianfei Zhou, Yong Xu, Ling Shao, David Zhang:
Multi-modal Aggregation Network for Fast MR Imaging. CoRR abs/2110.08080 (2021) - [i125]Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Multi-Task Learning with Gumbel-Softmax Priors. CoRR abs/2111.05323 (2021) - [i124]Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao:
Multi-Task Neural Processes. CoRR abs/2111.05820 (2021) - [i123]Peng Zheng, Jie Qin, Yichao Yan, Shengcai Liao, Bingbing Ni, Xiaogang Cheng, Ling Shao:
Global-Local Context Network for Person Search. CoRR abs/2112.02500 (2021) - [i122]Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Yong Xu, Ling Shao:
Specificity-Preserving Federated Learning for MR Image Reconstruction. CoRR abs/2112.05752 (2021) - [i121]Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Hierarchical Variational Memory for Few-shot Learning Across Domains. CoRR abs/2112.08181 (2021) - [i120]Shiming Chen, Ziming Hong, Guo-Sen Xie, Jian Zhao, Hao Li, Xinge You, Shuicheng Yan, Ling Shao:
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning. CoRR abs/2112.08643 (2021) - [i119]Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Generative Kernel Continual learning. CoRR abs/2112.13410 (2021) - [i118]Peng Tu, Yawen Huang, Feng Zheng, Zhenyu He, Liujuan Cao, Ling Shao:
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference. CoRR abs/2112.14015 (2021) - 2020
- [j250]Liyuan Liu, Yanwei Pang, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Filling the Gaps in Atrous Convolution: Semantic Segmentation With a Better Context. IEEE Access 8: 34019-34028 (2020) - [j249]Shuai Ma, Yanwei Pang, Jing Pan, Ling Shao:
Preserving details in semantics-aware context for scene parsing. Sci. China Inf. Sci. 63(2): 120106 (2020) - [j248]Xiyu Yan, Huihui Gong, Yong Jiang, Shu-Tao Xia, Feng Zheng, Xinge You, Ling Shao:
Video scene parsing: An overview of deep learning methods and datasets. Comput. Vis. Image Underst. 201: 103077 (2020) - [j247]Ling Shao, Hubert P. H. Shum, Timothy M. Hospedales:
Editorial: Special Issue on Machine Vision with Deep Learning. Int. J. Comput. Vis. 128(4): 771-772 (2020) - [j246]Jiaojiao Zhao, Jungong Han, Ling Shao, Cees G. M. Snoek:
Pixelated Semantic Colorization. Int. J. Comput. Vis. 128(4): 818-834 (2020) - [j245]Zhong Ji, Hai Wang, Yanwei Pang, Ling Shao:
Dual triplet network for image zero-shot learning. Neurocomputing 373: 90-97 (2020) - [j244]Ke Lu, Fei Wang, Ling Shao, Weisheng Li:
Editorial: Deep learning for medical image analysis. Neurocomputing 392: 121-123 (2020) - [j243]Zhong Ji, Fang Jiao, Yanwei Pang, Ling Shao:
Deep attentive and semantic preserving video summarization. Neurocomputing 405: 200-207 (2020) - [j242]Yuan Zhou, Bingzhang Hu, Jun He, Yu Guan, Ling Shao:
Dual reference age synthesis. Neurocomputing 411: 164-177 (2020) - [j241]Aiping Yang, Bingwang Yang, Zhong Ji, Yanwei Pang, Ling Shao:
Lightweight group convolutional network for single image super-resolution. Inf. Sci. 516: 220-233 (2020) - [j240]Xiao Sun, Pingping Xia, Luming Zhang, Ling Shao:
A ROI-guided deep architecture for robust facial expressions recognition. Inf. Sci. 522: 35-48 (2020) - [j239]Yinduo Wang, Haofeng Zhang, Zheng Zhang, Yang Long, Ling Shao:
Learning discriminative domain-invariant prototypes for generalized zero shot learning. Knowl. Based Syst. 196: 105796 (2020) - [j238]Yang Liu, Xinbo Gao, Quanxue Gao, Jungong Han, Ling Shao:
Label-activating framework for zero-shot learning. Neural Networks 121: 1-9 (2020) - [j237]Quanxue Gao, Zhizhen Wan, Ying Liang, Qianqian Wang, Yang Liu, Ling Shao:
Multi-view projected clustering with graph learning. Neural Networks 126: 335-346 (2020) - [j236]Cairong Zhao, Xuekuan Wang, Wangmeng Zuo, Fumin Shen, Ling Shao, Duoqian Miao:
Similarity learning with joint transfer constraints for person re-identification. Pattern Recognit. 97 (2020) - [j235]Xiantong Zhen, Mengyang Yu, Zehao Xiao, Lei Zhang, Ling Shao:
Heterogenous output regression network for direct face alignment. Pattern Recognit. 105: 107311 (2020) - [j234]Lei Huang, Xianglong Liu, Jie Qin, Fan Zhu, Li Liu, Ling Shao:
Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs. Pattern Recognit. 105: 107317 (2020) - [j233]Diwen Wan, Fumin Shen, Li Liu, Fan Zhu, Lei Huang, Mengyang Yu, Heng Tao Shen, Ling Shao:
Deep quantization generative networks. Pattern Recognit. 105: 107338 (2020) - [j232]Haofeng Zhang, Li Liu, Yang Long, Zheng Zhang, Ling Shao:
Deep transductive network for generalized zero shot learning. Pattern Recognit. 105: 107370 (2020) - [j231]Hui Wang, Jianbing Shen, Junbo Yin, Xingping Dong, Hanqiu Sun, Ling Shao:
Adaptive Nonlocal Random Walks for Image Superpixel Segmentation. IEEE Trans. Circuits Syst. Video Technol. 30(3): 822-834 (2020) - [j230]Zan Chen, Xingsong Hou, Ling Shao, Chen Gong, Xueming Qian, Yuan Huang, Shidong Wang:
Compressive Sensing Multi-Layer Residual Coefficients for Image Coding. IEEE Trans. Circuits Syst. Video Technol. 30(4): 1109-1120 (2020) - [j229]Jianjun Lei, Yuxin Song, Bo Peng, Zhanyu Ma, Ling Shao, Yi-Zhe Song:
Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval. IEEE Trans. Circuits Syst. Video Technol. 30(9): 3226-3237 (2020) - [j228]Fang Guo, Wenguan Wang, Ziyi Shen, Jianbing Shen, Ling Shao, Dacheng Tao:
Motion-Aware Rapid Video Saliency Detection. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4887-4898 (2020) - [j227]Xianyong Fang, Qiang Zhou, Jianbing Shen, Christian Jacquemin, Ling Shao:
Text Image Deblurring Using Kernel Sparsity Prior. IEEE Trans. Cybern. 50(3): 997-1008 (2020) - [j226]Jianbing Shen, Xin Tang, Xingping Dong, Ling Shao:
Visual Object Tracking by Hierarchical Attention Siamese Network. IEEE Trans. Cybern. 50(7): 3068-3080 (2020) - [j225]Bo Peng, Jianjun Lei, Huazhu Fu, Ling Shao, Qingming Huang:
A Recursive Constrained Framework for Unsupervised Video Action Clustering. IEEE Trans. Ind. Informatics 16(1): 555-565 (2020) - [j224]Lin Wu, Yang Wang, Hongzhi Yin, Meng Wang, Ling Shao:
Few-Shot Deep Adversarial Learning for Video-Based Person Re-Identification. IEEE Trans. Image Process. 29: 1233-1245 (2020) - [j223]Aamir Mustafa, Salman H. Khan, Munawar Hayat, Jianbing Shen, Ling Shao:
Image Super-Resolution as a Defense Against Adversarial Attacks. IEEE Trans. Image Process. 29: 1711-1724 (2020) - [j222]Rui Gao, Xingsong Hou, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Zhao Zhang, Ling Shao:
Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning. IEEE Trans. Image Process. 29: 3665-3680 (2020) - [j221]Jun Xu, Yingkun Hou, Dongwei Ren, Li Liu, Fan Zhu, Mengyang Yu, Haoqian Wang, Ling Shao:
STAR: A Structure and Texture Aware Retinex Model. IEEE Trans. Image Process. 29: 5022-5037 (2020) - [j220]Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao:
NLH: A Blind Pixel-Level Non-Local Method for Real-World Image Denoising. IEEE Trans. Image Process. 29: 5121-5135 (2020) - [j219]Shidong Wang, Yu Guan, Ling Shao:
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification. IEEE Trans. Image Process. 29: 5396-5407 (2020) - [j218]Jin Li, Xuguang Lan, Yang Long, Yang Liu, Xingyu Chen, Ling Shao, Nanning Zheng:
A Joint Label Space for Generalized Zero-Shot Classification. IEEE Trans. Image Process. 29: 5817-5831 (2020) - [j217]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. IEEE Trans. Image Process. 29: 6288-6301 (2020) - [j216]Yawen Huang, Feng Zheng, Runmin Cong, Weilin Huang, Matthew R. Scott, Ling Shao:
MCMT-GAN: Multi-Task Coherent Modality Transferable GAN for 3D Brain Image Synthesis. IEEE Trans. Image Process. 29: 8187-8198 (2020) - [j215]Jun Xu, Yuan Huang, Ming-Ming Cheng, Li Liu, Fan Zhu, Zhou Xu, Ling Shao:
Noisy-as-Clean: Learning Self-Supervised Denoising From Corrupted Image. IEEE Trans. Image Process. 29: 9316-9329 (2020) - [j214]Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images. IEEE Trans. Medical Imaging 39(8): 2626-2637 (2020) - [j213]Tao Zhou, Huazhu Fu, Geng Chen, Jianbing Shen, Ling Shao:
Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis. IEEE Trans. Medical Imaging 39(9): 2772-2781 (2020) - [j212]Luming Zhang, Jianwei Yin, Ping Li, Yongheng Shang, Roger Zimmermann, Ling Shao:
Flickr Image Community Analytics by Deep Noise-Refined Matrix Factorization. IEEE Trans. Multim. 22(5): 1273-1284 (2020) - [j211]Federico Angelini, Zeyu Fu, Yang Long, Ling Shao, Syed Mohsen Naqvi:
2D Pose-Based Real-Time Human Action Recognition With Occlusion-Handling. IEEE Trans. Multim. 22(6): 1433-1446 (2020) - [j210]Zhengming Li, Zheng Zhang, Jie Qin, Zhao Zhang, Ling Shao:
Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(3): 786-800 (2020) - [j209]Haofeng Zhang, Huaqi Mao, Yang Long, Wankou Yang, Ling Shao:
A Probabilistic Zero-Shot Learning Method via Latent Nonnegative Prototype Synthesis of Unseen Classes. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2361-2375 (2020) - [j208]Guo-Sen Xie, Zheng Zhang, Li Liu, Fan Zhu, Xu-Yao Zhang, Ling Shao, Xuelong Li:
SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4290-4302 (2020) - [j207]Lizhong Ding, Shizhong Liao, Yong Liu, Li Liu, Fan Zhu, Yazhou Yao, Ling Shao, Xin Gao:
Approximate Kernel Selection via Matrix Approximation. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4881-4891 (2020) - [j206]Luming Zhang, Mingliang Xu, Jianwei Yin, Chao Zhang, Ling Shao:
Weakly Supervised Complets Ranking for Deep Image Quality Modeling. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5041-5054 (2020) - [j205]Lisi Chen, Shuo Shang, Christian S. Jensen, Jianliang Xu, Panos Kalnis, Bin Yao, Ling Shao:
Top-k term publish/subscribe for geo-textual data streams. VLDB J. 29(5): 1101-1128 (2020) - [c231]Guolei Sun, Hisham Cholakkal, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Fine-Grained Recognition: Accounting for Subtle Differences between Similar Classes. AAAI 2020: 12047-12054 - [c230]Lei Zhang, Zhiqiang Lang, Peng Wang, Wei Wei, Shengcai Liao, Ling Shao, Yanning Zhang:
Pixel-Aware Deep Function-Mixture Network for Spectral Super-Resolution. AAAI 2020: 12821-12828 - [c229]Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao:
Motion-Attentive Transition for Zero-Shot Video Object Segmentation. AAAI 2020: 13066-13073 - [c228]Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao:
HRank: Filter Pruning Using High-Rank Feature Map. CVPR 2020: 1526-1535 - [c227]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
CycleISP: Real Image Restoration via Improved Data Synthesis. CVPR 2020: 2693-2702 - [c226]Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
Camouflaged Object Detection. CVPR 2020: 2774-2784 - [c225]Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao:
Auto-Encoding Twin-Bottleneck Hashing. CVPR 2020: 2815-2824 - [c224]Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao:
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification. CVPR 2020: 2896-2905 - [c223]Lei Zhang, Jiangtao Nie, Wei Wei, Yanning Zhang, Shengcai Liao, Ling Shao:
Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution. CVPR 2020: 3070-3079 - [c222]Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao:
Controllable Orthogonalization in Training DNNs. CVPR 2020: 6428-6437 - [c221]Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
An Investigation Into the Stochasticity of Batch Whitening. CVPR 2020: 6438-6447 - [c220]Muhammad Haris Khan, John McDonagh, Salman H. Khan, Muhammad Shahabuddin, Aditya Arora, Fahad Shahbaz Khan, Ling Shao, Georgios Tzimiropoulos:
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces. CVPR 2020: 6937-6946 - [c219]Wenguan Wang, Hailong Zhu, Jifeng Dai, Yanwei Pang, Jianbing Shen, Ling Shao:
Hierarchical Human Parsing With Typed Part-Relation Reasoning. CVPR 2020: 8926-8936 - [c218]Dwarikanath Mahapatra, Behzad Bozorgtabar, Ling Shao:
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. CVPR 2020: 9608-9617 - [c217]Tao Zhou, Huazhu Fu, Chen Gong, Jianbing Shen, Ling Shao, Fatih Porikli:
Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation. CVPR 2020: 10274-10283 - [c216]Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao:
D2Det: Towards High Quality Object Detection and Instance Segmentation. CVPR 2020: 11482-11491 - [c215]Yazhao Li, Yanwei Pang, Jianbing Shen, Jiale Cao, Ling Shao:
NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection. CVPR 2020: 13346-13355 - [c214]Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao:
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation. ECCV (14) 2020: 1-18 - [c213]Hang Dai, Shujie Luo, Yong Ding, Ling Shao:
Commands for Autonomous Vehicles by Progressively Stacking Visual-Linguistic Representations. ECCV Workshops (2) 2020: 27-32 - [c212]Shujie Luo, Hang Dai, Ling Shao, Yong Ding:
C4AV: Learning Cross-Modal Representations from Transformers. ECCV Workshops (2) 2020: 33-38 - [c211]Jin Xie, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Mubarak Shah:
Count- and Similarity-Aware R-CNN for Pedestrian Detection. ECCV (17) 2020: 88-104 - [c210]Jiaxin Chen, Jie Qin, Yuming Shen, Li Liu, Fan Zhu, Ling Shao:
Learning Attentive and Hierarchical Representations for 3D Shape Recognition. ECCV (15) 2020: 105-122 - [c209]Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Learning to Learn with Variational Information Bottleneck for Domain Generalization. ECCV (10) 2020: 200-216 - [c208]Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo:
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-identification. ECCV (17) 2020: 229-247 - [c207]Deng-Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, Ling Shao:
BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network. ECCV (12) 2020: 275-292 - [c206]Xingping Dong, Jianbing Shen, Ling Shao, Fatih Porikli:
CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers. ECCV (20) 2020: 378-395 - [c205]Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao:
Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs. ECCV (2) 2020: 384-401 - [c204]Shengcai Liao, Ling Shao:
Interpretable and Generalizable Person Re-identification with Query-Adaptive Convolution and Temporal Lifting. ECCV (11) 2020: 456-474 - [c203]Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao:
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification. ECCV (22) 2020: 479-495 - [c202]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Real Image Restoration and Enhancement. ECCV (25) 2020: 492-511 - [c201]Fang Zhao, Shengcai Liao, Guo-Sen Xie, Jian Zhao, Kaihao Zhang, Ling Shao:
Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification. ECCV (11) 2020: 526-544 - [c200]Guo-Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao:
Region Graph Embedding Network for Zero-Shot Learning. ECCV (4) 2020: 562-580 - [c199]Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Invertible Zero-Shot Recognition Flows. ECCV (16) 2020: 614-631 - [c198]Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao:
Interpretable Neural Network Decoupling. ECCV (15) 2020: 653-669 - [c197]Chengcheng Yang, Dong Deng, Shuo Shang, Ling Shao:
Efficient Locality-Sensitive Hashing Over High-Dimensional Data Streams. ICDE 2020: 1986-1989 - [c196]Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao:
On the Number of Linear Regions of Convolutional Neural Networks. ICML 2020: 10514-10523 - [c195]Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek:
Learning to Learn Kernels with Variational Random Features. ICML 2020: 11409-11419 - [c194]Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao:
Improved Residual Networks for Image and Video Recognition. ICPR 2020: 9415-9422 - [c193]Yawen Huang, Feng Zheng, Danyang Wang, Junyu Jiang, Xiaoqian Wang, Ling Shao:
Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial Networks. IJCAI 2020: 645-651 - [c192]Ge-Peng Ji, Deng-Ping Fan, Tao Zhou, Geng Chen, Huazhu Fu, Ling Shao:
Automatic Polyp Segmentation via Parallel Reverse Attention Network. MediaEval 2020 - [c191]Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao:
M2 Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. MICCAI (2) 2020: 221-231 - [c190]Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
PraNet: Parallel Reverse Attention Network for Polyp Segmentation. MICCAI (6) 2020: 263-273 - [c189]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance. MICCAI (5) 2020: 309-319 - [c188]Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Gen Luo, Xiaopeng Hong, Jinsong Su, Xinghao Ding, Ling Shao:
K-armed Bandit based Multi-Modal Network Architecture Search for Visual Question Answering. ACM Multimedia 2020: 1245-1254 - [c187]Jinpeng Li, Shengcai Liao, Hangzhi Jiang, Ling Shao:
Box Guided Convolution for Pedestrian Detection. ACM Multimedia 2020: 1615-1624 - [c186]Jiaxin Chen, Jie Qin, Yichao Yan, Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Deep Local Binary Coding for Person Re-Identification by Delving into the Details. ACM Multimedia 2020: 3034-3043 - [c185]Yanan Wang, Shengcai Liao, Ling Shao:
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification. ACM Multimedia 2020: 3422-3430 - [c184]Fang Zhao, Shengcai Liao, Kaihao Zhang, Ling Shao:
Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View Consistency. NeurIPS 2020 - [c183]Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao:
Learning to Learn Variational Semantic Memory. NeurIPS 2020 - [c182]Liang Wang, Changshuang Zhao, Ling Shao, Yihong Wu:
UDenseNet: A Universal Dense Convolutional Network for Image Recognition. PRCV (3) 2020: 209-221 - [c181]Jing Li, Shuo Shang, Ling Shao:
MetaNER: Named Entity Recognition with Meta-Learning. WWW 2020: 429-440 - [i117]Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi:
Deep Learning for Person Re-identification: A Survey and Outlook. CoRR abs/2001.04193 (2020) - [i116]Yazhao Li, Yanwei Pang, Jianbing Shen, Jiale Cao, Ling Shao:
NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection. CoRR abs/2001.06690 (2020) - [i115]Wenguan Wang, Zhijie Zhang, Siyuan Qi, Jianbing Shen, Yanwei Pang, Ling Shao:
Learning Compositional Neural Information Fusion for Human Parsing. CoRR abs/2001.06804 (2020) - [i114]Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao:
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. CoRR abs/2001.06807 (2020) - [i113]Xiankai Lu, Wenguan Wang, Chao Ma, Jianbing Shen, Ling Shao, Fatih Porikli:
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks. CoRR abs/2001.06810 (2020) - [i112]Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, Ling Shao:
Human-Aware Motion Deblurring. CoRR abs/2001.06816 (2020) - [i111]Jin Xie, Yanwei Pang, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
PSC-Net: Learning Part Spatial Co-occurence for Occluded Pedestrian Detection. CoRR abs/2001.09252 (2020) - [i110]Tao Zhou, Huazhu Fu, Geng Chen, Jianbing Shen, Ling Shao:
Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis. CoRR abs/2002.05000 (2020) - [i109]Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao:
HRank: Filter Pruning using High-Rank Feature Map. CoRR abs/2002.10179 (2020) - [i108]Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao:
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis. CoRR abs/2002.10801 (2020) - [i107]Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao:
Auto-Encoding Twin-Bottleneck Hashing. CoRR abs/2002.11930 (2020) - [i106]Jilin Hu, Jianbing Shen, Bin Yang, Ling Shao:
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes. CoRR abs/2002.12168 (2020) - [i105]Haibo Jin, Shengcai Liao, Ling Shao:
Pixel-In-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild. CoRR abs/2003.03771 (2020) - [i104]Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao:
Motion-Attentive Transition for Zero-Shot Video Object Segmentation. CoRR abs/2003.04253 (2020) - [i103]Wenguan Wang, Hailong Zhu, Jifeng Dai, Yanwei Pang, Jianbing Shen, Ling Shao:
Hierarchical Human Parsing with Typed Part-Relation Reasoning. CoRR abs/2003.04845 (2020) - [i102]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Real Image Restoration and Enhancement. CoRR abs/2003.06792 (2020) - [i101]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
CycleISP: Real Image Restoration via Improved Data Synthesis. CoRR abs/2003.07761 (2020) - [i100]Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao:
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification. CoRR abs/2003.07833 (2020) - [i99]K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth Balasubramanian, Ling Shao:
Incremental Object Detection via Meta-Learning. CoRR abs/2003.08798 (2020) - [i98]Irtiza Hasan, Shengcai Liao, Jinpeng Li, Saad Ullah Akram, Ling Shao:
Pedestrian Detection: The Elephant In The Room. CoRR abs/2003.08799 (2020) - [i97]Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
An Investigation into the Stochasticity of Batch Whitening. CoRR abs/2003.12327 (2020) - [i96]Jie Hu, Rongrong Ji, Qixiang Ye, Tong Tong, Shengchuan Zhang, Ke Li, Feiyue Huang, Ling Shao:
Architecture Disentanglement for Deep Neural Networks. CoRR abs/2003.13268 (2020) - [i95]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. CoRR abs/2003.14119 (2020) - [i94]Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao:
Controllable Orthogonalization in Training DNNs. CoRR abs/2004.00917 (2020) - [i93]Ahmed H. Shahin, Prateek Munjal, Ling Shao, Shadab Khan:
FAIRS - Soft Focus Generator and Attention for Robust Object Segmentation from Extreme Points. CoRR abs/2004.02038 (2020) - [i92]Shidong Wang, Yu Guan, Ling Shao:
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification. CoRR abs/2004.04491 (2020) - [i91]Jiale Li, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao:
3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds. CoRR abs/2004.04962 (2020) - [i90]Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao:
Improved Residual Networks for Image and Video Recognition. CoRR abs/2004.04989 (2020) - [i89]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. CoRR abs/2004.11373 (2020) - [i88]Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans. CoRR abs/2004.14133 (2020) - [i87]Ziyi Shen, Huazhu Fu, Jianbing Shen, Ling Shao:
Understanding and Correcting Low-quality Retinal Fundus Images for Clinical Analysis. CoRR abs/2005.05594 (2020) - [i86]Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao:
On the Number of Linear Regions of Convolutional Neural Networks. CoRR abs/2006.00978 (2020) - [i85]Wenhao Wang, Fang Zhao, Shengcai Liao, Ling Shao:
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification. CoRR abs/2006.06525 (2020) - [i84]Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek:
Learning to Learn Kernels with Variational Random Features. CoRR abs/2006.06707 (2020) - [i83]Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao:
M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. CoRR abs/2006.10135 (2020) - [i82]Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
PraNet: Parallel Reverse Attention Network for Polyp Segmentation. CoRR abs/2006.11392 (2020) - [i81]Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao:
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition. CoRR abs/2006.11538 (2020) - [i80]Yanan Wang, Shengcai Liao, Ling Shao:
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification. CoRR abs/2006.12774 (2020) - [i79]Deng-Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, Ling Shao:
BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network. CoRR abs/2007.02713 (2020) - [i78]Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Learning to Learn with Variational Information Bottleneck for Domain Generalization. CoRR abs/2007.07645 (2020) - [i77]Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo:
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification. CoRR abs/2007.09314 (2020) - [i76]Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao:
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation. CoRR abs/2007.14772 (2020) - [i75]Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
RGB-D Salient Object Detection: A Survey. CoRR abs/2008.00230 (2020) - [i74]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance. CoRR abs/2008.02101 (2020) - [i73]Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao:
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. CoRR abs/2008.09772 (2020) - [i72]Ping Li, Qinghao Ye, Luming Zhang, Li Yuan, Xianghua Xu, Ling Shao:
Exploring global diverse attention via pairwise temporal relation for video summarization. CoRR abs/2009.10942 (2020) - [i71]Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. CoRR abs/2009.12836 (2020) - [i70]Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Group Whitening: Balancing Learning Efficiency and Representational Capacity. CoRR abs/2009.13333 (2020) - [i69]Jiale Cao, Yanwei Pang, Jin Xie, Fahad Shahbaz Khan, Ling Shao:
From Handcrafted to Deep Features for Pedestrian Detection: A Survey. CoRR abs/2010.00456 (2020) - [i68]Nian Liu, Ni Zhang, Ling Shao, Junwei Han:
Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection. CoRR abs/2010.05537 (2020) - [i67]Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees G. M. Snoek, Ling Shao:
Learning to Learn Variational Semantic Memory. CoRR abs/2010.10341 (2020) - [i66]Shidong Wang, Yi Ren, Gerard Parr, Yu Guan, Ling Shao:
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization. CoRR abs/2011.05702 (2020) - [i65]Shaojie Li, Mingbao Lin, Yan Wang, Mingliang Xu, Feiyue Huang, Yongjian Wu, Ling Shao, Rongrong Ji:
Learning Efficient GANs using Differentiable Masks and co-Attention Distillation. CoRR abs/2011.08382 (2020) - [i64]Wenhao Wang, Shengcai Liao, Fang Zhao, Cuicui Kang, Ling Shao:
DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations. CoRR abs/2011.11953 (2020) - [i63]Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen:
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers. CoRR abs/2012.02776 (2020) - [i62]Sanath Narayan, Hisham Cholakkal, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations. CoRR abs/2012.06440 (2020)
2010 – 2019
- 2019
- [j204]Ziyun Cai, Ling Shao:
RGB-D Scene Classification via Multi-modal Feature Learning. Cogn. Comput. 11(6): 825-840 (2019) - [j203]Yuming Shen, Li Liu, Ling Shao:
Unsupervised Binary Representation Learning with Deep Variational Networks. Int. J. Comput. Vis. 127(11-12): 1614-1628 (2019) - [j202]Haofeng Zhang, Yang Long, Li Liu, Ling Shao:
Adversarial unseen visual feature synthesis for Zero-shot Learning. Neurocomputing 329: 12-20 (2019) - [j201]Lining Zhang, Hubert P. H. Shum, Li Liu, Guodong Guo, Ling Shao:
Multiview discriminative marginal metric learning for makeup face verification. Neurocomputing 333: 339-350 (2019) - [j200]Haofeng Zhang, Yang Long, Wankou Yang, Ling Shao:
Dual-verification network for zero-shot learning. Inf. Sci. 470: 43-57 (2019) - [j199]Heng Liu, Zilin Fu, Jungong Han, Ling Shao, Shudong Hou, Yuezhong Chu:
Single image super-resolution using multi-scale deep encoder-decoder with phase congruency edge map guidance. Inf. Sci. 473: 44-58 (2019) - [j198]Mohammad Muntasir Rahman, Yanhao Tan, Jian Xue, Ling Shao, Ke Lu:
3D object detection: Learning 3D bounding boxes from scaled down 2D bounding boxes in RGB-D images. Inf. Sci. 476: 147-158 (2019) - [j197]Haofeng Zhang, Yang Long, Ling Shao:
Zero-shot leaning and hashing with binary visual similes. Multim. Tools Appl. 78(17): 24147-24165 (2019) - [j196]Yang Liu, Feiping Nie, Quanxue Gao, Xinbo Gao, Jungong Han, Ling Shao:
Flexible unsupervised feature extraction for image classification. Neural Networks 115: 65-71 (2019) - [j195]Yang Liu, Xinbo Gao, Quanxue Gao, Ling Shao, Jungong Han:
Adaptive robust principal component analysis. Neural Networks 119: 85-92 (2019) - [j194]Zheng Zhang, Li Liu, Fumin Shen, Heng Tao Shen, Ling Shao:
Binary Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1774-1782 (2019) - [j193]Yang Long, Yu Guan, Ling Shao:
Generic compact representation through visual-semantic ambiguity removal. Pattern Recognit. Lett. 117: 186-192 (2019) - [j192]Haofeng Zhang, Yang Long, Ling Shao:
Zero-shot Hashing with orthogonal projection for image retrieval. Pattern Recognit. Lett. 117: 201-209 (2019) - [j191]Zhaoxiang Zhang, Shiguang Shan, Yi Fang, Ling Shao:
Deep Learning for Pattern Recognition. Pattern Recognit. Lett. 119: 1-2 (2019) - [j190]Philip Kinghorn, Li Zhang, Ling Shao:
A hierarchical and regional deep learning architecture for image description generation. Pattern Recognit. Lett. 119: 77-85 (2019) - [j189]Ziyun Cai, Yang Long, Ling Shao:
Classification complexity assessment for hyper-parameter optimization. Pattern Recognit. Lett. 125: 396-403 (2019) - [j188]Yu Liu, Jianbing Shen, Wenguan Wang, Hanqiu Sun, Ling Shao:
Better Dense Trajectories by Motion in Videos. IEEE Trans. Cybern. 49(1): 159-170 (2019) - [j187]Jianbing Shen, Zhiyuan Liang, Jianhong Liu, Hanqiu Sun, Ling Shao, Dacheng Tao:
Multiobject Tracking by Submodular Optimization. IEEE Trans. Cybern. 49(6): 1990-2001 (2019) - [j186]Yu Liu, Jingkuan Song, Ke Zhou, Lingyu Yan, Li Liu, Fuhao Zou, Ling Shao:
Deep Self-Taught Hashing for Image Retrieval. IEEE Trans. Cybern. 49(6): 2229-2241 (2019) - [j185]Chang Liu, Wenguan Wang, Jianbing Shen, Ling Shao:
Stereo Video Object Segmentation Using Stereoscopic Foreground Trajectories. IEEE Trans. Cybern. 49(10): 3665-3676 (2019) - [j184]Yiyang Yao, Luo Wang, Luming Zhang, Yi Yang, Ping Li, Roger Zimmermann, Ling Shao:
Learning Latent Stable Patterns for Image Understanding With Weak and Noisy Labels. IEEE Trans. Cybern. 49(12): 4243-4252 (2019) - [j183]Lei Zhang, Xiantong Zhen, Ling Shao, Jingkuan Song:
Learning Match Kernels on Grassmann Manifolds for Action Recognition. IEEE Trans. Image Process. 28(1): 205-215 (2019) - [j182]Yazhou Yao, Fumin Shen, Jian Zhang, Li Liu, Zhenmin Tang, Ling Shao:
Extracting Privileged Information for Enhancing Classifier Learning. IEEE Trans. Image Process. 28(1): 436-450 (2019) - [j181]Haofeng Zhang, Yang Long, Yu Guan, Ling Shao:
Triple Verification Network for Generalized Zero-Shot Learning. IEEE Trans. Image Process. 28(1): 506-517 (2019) - [j180]Lin Wu, Yang Wang, Ling Shao:
Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval. IEEE Trans. Image Process. 28(4): 1602-1612 (2019) - [j179]Gengshen Wu, Jungong Han, Yuchen Guo, Li Liu, Guiguang Ding, Qiang Ni, Ling Shao:
Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval. IEEE Trans. Image Process. 28(4): 1993-2007 (2019) - [j178]Luming Zhang, Yiyang Yao, Zhenguang Lu, Ling Shao:
Aesthetics-Guided Graph Clustering With Absent Modalities Imputation. IEEE Trans. Image Process. 28(7): 3462-3476 (2019) - [j177]Zheng Zhang, Zhihui Lai, Zi Huang, Wai Keung Wong, Guo-Sen Xie, Li Liu, Ling Shao:
Scalable Supervised Asymmetric Hashing With Semantic and Latent Factor Embedding. IEEE Trans. Image Process. 28(10): 4803-4818 (2019) - [j176]Lingli Zhou, Haofeng Zhang, Yang Long, Ling Shao, Jingyu Yang:
Depth Embedded Recurrent Predictive Parsing Network for Video Scenes. IEEE Trans. Intell. Transp. Syst. 20(12): 4643-4654 (2019) - [j175]Yazhou Yao, Fumin Shen, Jian Zhang, Li Liu, Zhenmin Tang, Ling Shao:
Extracting Multiple Visual Senses for Web Learning. IEEE Trans. Multim. 21(1): 184-196 (2019) - [j174]Hongwei Hu, Bo Ma, Jianbing Shen, Hanqiu Sun, Ling Shao, Fatih Porikli:
Robust Object Tracking Using Manifold Regularized Convolutional Neural Networks. IEEE Trans. Multim. 21(2): 510-521 (2019) - [j173]Jianbing Shen, Xingping Dong, Jianteng Peng, Xiaogang Jin, Ling Shao, Fatih Porikli:
Submodular Function Optimization for Motion Clustering and Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2637-2649 (2019) - [j172]Wangmeng Zuo, Xi Peng, Ling Shao, Danil V. Prokhorov, Horst Bischof:
Guest Editorial Special Issue on Discriminative Learning for Model Optimization and Statistical Inference. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2894-2897 (2019) - [j171]Lin Wu, Yang Wang, Ling Shao, Meng Wang:
3-D PersonVLAD: Learning Deep Global Representations for Video-Based Person Reidentification. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3347-3359 (2019) - [c180]Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao:
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data. AAAI 2019: 3454-3461 - [c179]Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao:
Approximate Kernel Selection with Strong Approximate Consistency. AAAI 2019: 3462-3469 - [c178]Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman H. Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, Xiang Bai:
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images. CVPR Workshops 2019: 28-37 - [c177]Salman H. Khan, Munawar Hayat, Syed Waqas Zamir, Jianbing Shen, Ling Shao:
Striking the Right Balance With Uncertainty. CVPR 2019: 103-112 - [c176]Jiaxin Chen, Jie Qin, Li Liu, Fan Zhu, Fumin Shen, Jin Xie, Ling Shao:
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing. CVPR 2019: 791-800 - [c175]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 - [c174]Yi Zhou, Xiaodong He, Lei Huang, Li Liu, Fan Zhu, Shanshan Cui, Ling Shao:
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images. CVPR 2019: 2079-2088 - [c173]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 - [c172]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 - [c171]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 - [c170]Xiankai Lu, Wenguan Wang, Chao Ma, Jianbing Shen, Ling Shao, Fatih Porikli:
See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks. CVPR 2019: 3623-3632 - [c169]Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Iterative Normalization: Beyond Standardization Towards Efficient Whitening. CVPR 2019: 4874-4883 - [c168]Wenguan Wang, Jianbing Shen, Ming-Ming Cheng, Ling Shao:
An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection. CVPR 2019: 5968-5977 - [c167]Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao:
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks. CVPR 2019: 6133-6142 - [c166]Zhen Wei, Jingyi Zhang, Li Liu, Fan Zhu, Fumin Shen, Yi Zhou, Si Liu, Yao Sun, Ling Shao:
Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling. CVPR 2019: 7115-7123 - [c165]Yanwei Pang, Tiancai Wang, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
Efficient Featurized Image Pyramid Network for Single Shot Detector. CVPR 2019: 7336-7344 - [c164]Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu, Ling Shao:
Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video. CVPR 2019: 7842-7851 - [c163]Guo-Sen Xie, Li Liu, Xiaobo Jin, Fan Zhu, Zheng Zhang, Jie Qin, Yazhou Yao, Ling Shao:
Attentive Region Embedding Network for Zero-Shot Learning. CVPR 2019: 9384-9393 - [c162]Devraj Mandal, Sanath Narayan, Sai Kumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan, Ling Shao:
Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition. CVPR 2019: 9985-9993 - [c161]Hisham Cholakkal, Guolei Sun, Fahad Shahbaz Khan, Ling Shao:
Object Counting and Instance Segmentation With Image-Level Supervision. CVPR 2019: 12397-12405 - [c160]Zan Chen, Xingsong Hou, Ling Shao, Yuan Huang:
Compressive-Sensed Image Coding via Multi-layer Closed-Loop Prediction. DCC 2019: 562 - [c159]Tiancai Wang, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao:
Learning Rich Features at High-Speed for Single-Shot Object Detection. ICCV 2019: 1971-1980 - [c158]Aamir Mustafa, Salman H. Khan, Munawar Hayat, Roland Goecke, Jianbing Shen, Ling Shao:
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks. ICCV 2019: 3384-3393 - [c157]Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao:
RANet: Ranking Attention Network for Fast Video Object Segmentation. ICCV 2019: 3977-3986 - [c156]Yanwei Pang, Yazhao Li, Jianbing Shen, Ling Shao:
Towards Bridging Semantic Gap to Improve Semantic Segmentation. ICCV 2019: 4229-4238 - [c155]Yanwei Pang, Jin Xie, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
Mask-Guided Attention Network for Occluded Pedestrian Detection. ICCV 2019: 4966-4974 - [c154]Hang Dai, Ling Shao:
PointAE: Point Auto-Encoder for 3D Statistical Shape and Texture Modelling. ICCV 2019: 5409-5418 - [c153]Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, Ling Shao:
Human-Aware Motion Deblurring. ICCV 2019: 5571-5580 - [c152]Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen:
Deep Contextual Attention for Human-Object Interaction Detection. ICCV 2019: 5693-5701 - [c151]Wenguan Wang, Zhijie Zhang, Siyuan Qi, Jianbing Shen, Yanwei Pang, Ling Shao:
Learning Compositional Neural Information Fusion for Human Parsing. ICCV 2019: 5702-5712 - [c150]Anran Zhang, Lei Yue, Jiayi Shen, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao:
Attentional Neural Fields for Crowd Counting. ICCV 2019: 5713-5722 - [c149]Munawar Hayat, Salman H. Khan, Syed Waqas Zamir, Jianbing Shen, Ling Shao:
Gaussian Affinity for Max-Margin Class Imbalanced Learning. ICCV 2019: 6468-6478 - [c148]Anran Zhang, Jiayi Shen, Zehao Xiao, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao:
Relational Attention Network for Crowd Counting. ICCV 2019: 6787-6796 - [c147]Sanath Narayan, Hisham Cholakkal, Fahad Shahbaz Khan, Ling Shao:
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization. ICCV 2019: 8678-8686 - [c146]Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao:
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. ICCV 2019: 9235-9244 - [c145]Jing Nie, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao:
Enriched Feature Guided Refinement Network for Object Detection. ICCV 2019: 9536-9545 - [c144]Dong Deng, Chengcheng Yang, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
LCJoin: Set Containment Join via List Crosscutting. ICDE 2019: 362-373 - [c143]Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao:
Dynamically Visual Disambiguation of Keyword-based Image Search. IJCAI 2019: 996-1002 - [c142]Hao Wang, Shaokang Dong, Ling Shao:
Measuring Structural Similarities in Finite MDPs. IJCAI 2019: 3684-3690 - [c141]Aiping Yang, Haixin Wang, Zhong Ji, Yanwei Pang, Ling Shao:
Dual-Path in Dual-Path Network for Single Image Dehazing. IJCAI 2019: 4627-4634 - [c140]Chengcheng Yang, Lisi Chen, Shuo Shang, Fan Zhu, Li Liu, Ling Shao:
Toward Efficient Navigation of Massive-Scale Geo-Textual Streams. IJCAI 2019: 4838-4845 - [c139]Lisi Chen, Shuo Shang, Christian S. Jensen, Bin Yao, Zhiwei Zhang, Ling Shao:
Effective and Efficient Reuse of Past Travel Behavior for Route Recommendation. KDD 2019: 488-498 - [c138]Huazhu Fu, Boyang Wang, Jianbing Shen, Shanshan Cui, Yanwu Xu, Jiang Liu, Ling Shao:
Evaluation of Retinal Image Quality Assessment Networks in Different Color-Spaces. MICCAI (1) 2019: 48-56 - [c137]Shadab Khan, Ahmed H. Shahin, Javier Villafruela, Jianbing Shen, Ling Shao:
Extreme Points Derived Confidence Map as a Cue for Class-Agnostic Interactive Segmentation Using Deep Neural Network. MICCAI (2) 2019: 66-73 - [c136]Tao Zhou, Kim-Han Thung, Yu Zhang, Huazhu Fu, Jianbing Shen, Dinggang Shen, Ling Shao:
Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction. MICCAI (4) 2019: 186-195 - [c135]Zhijie Zhang, Huazhu Fu, Hang Dai, Jianbing Shen, Yanwei Pang, Ling Shao:
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation. MICCAI (1) 2019: 442-450 - [c134]Yi Zhou, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao:
High-Resolution Diabetic Retinopathy Image Synthesis Manipulated by Grading and Lesions. MICCAI (1) 2019: 505-513 - [c133]Tao Zhou, Mingxia Liu, Huazhu Fu, Jun Wang, Jianbing Shen, Ling Shao, Dinggang Shen:
Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis. MICCAI (4) 2019: 629-638 - [c132]Xiaodong He, Yi Zhou, Boyang Wang, Shanshan Cui, Ling Shao:
DME-Net: Diabetic Macular Edema Grading by Auxiliary Task Learning. MICCAI (1) 2019: 788-796 - [c131]Jingyi Zhang, Zhen Wei, Ionut Cosmin Duta, Fumin Shen, Li Liu, Fan Zhu, Xing Xu, Ling Shao, Heng Tao Shen:
Generative Reconstructive Hashing for Incomplete Video Analysis. ACM Multimedia 2019: 845-854 - [c130]Lizhong Ding, Mengyang Yu, Li Liu, Fan Zhu, Yong Liu, Yu Li, Ling Shao:
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test. NeurIPS 2019: 11257-11268 - [c129]Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Random Path Selection for Continual Learning. NeurIPS 2019: 12648-12658 - [p3]Yawen Huang, Ling Shao, Alejandro F. Frangi:
Simultaneous Super-Resolution and Cross-Modality Synthesis in Magnetic Resonance Imaging. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 437-457 - [i61]Aamir Mustafa, Salman H. Khan, Munawar Hayat, Jianbing Shen, Ling Shao:
Image Super-Resolution as a Defense Against Adversarial Attacks. CoRR abs/1901.01677 (2019) - [i60]Salman H. Khan, Munawar Hayat, Waqas Zamir, Jianbing Shen, Ling Shao:
Striking the Right Balance with Uncertainty. CoRR abs/1901.07590 (2019) - [i59]Munawar Hayat, Salman H. Khan, Waqas Zamir, Jianbing Shen, Ling Shao:
Max-margin Class Imbalanced Learning with Gaussian Affinity. CoRR abs/1901.07711 (2019) - [i58]Jiaojiao Zhao, Jungong Han, Ling Shao, Cees G. M. Snoek:
Pixelated Semantic Colorization. CoRR abs/1901.10889 (2019) - [i57]Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao:
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network. CoRR abs/1903.00853 (2019) - [i56]Hisham Cholakkal, Guolei Sun, Fahad Shahbaz Khan, Ling Shao:
Object Counting and Instance Segmentation with Image-level Supervision. CoRR abs/1903.02494 (2019) - [i55]Lei Zhang, Zhiqiang Lang, Peng Wang, Wei Wei, Shengcai Liao, Ling Shao, Yanning Zhang:
Pixel-aware Deep Function-mixture Network for Spectral Super-Resolution. CoRR abs/1903.10501 (2019) - [i54]Lin Wu, Yang Wang, Hongzhi Yin, Meng Wang, Ling Shao, Brian C. Lovell:
Few-Shot Deep Adversarial Learning for Video-based Person Re-identification. CoRR abs/1903.12395 (2019) - [i53]Aamir Mustafa, Salman H. Khan, Munawar Hayat, Roland Goecke, Jianbing Shen, Ling Shao:
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks. CoRR abs/1904.00887 (2019) - [i52]Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Iterative Normalization: Beyond Standardization towards Efficient Whitening. CoRR abs/1904.03441 (2019) - [i51]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Learning Digital Camera Pipeline for Extreme Low-Light Imaging. CoRR abs/1904.05939 (2019) - [i50]Devraj Mandal, Sanath Narayan, Saikumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan, Ling Shao:
Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition. CoRR abs/1904.08703 (2019) - [i49]Shengcai Liao, Ling Shao:
Interpretable and Generalizable Deep Image Matching with Adaptive Convolutions. CoRR abs/1904.10424 (2019) - [i48]Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao:
Dynamically Visual Disambiguation of Keyword-based Image Search. CoRR abs/1905.10955 (2019) - [i47]Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman H. Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, Xiang Bai:
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images. CoRR abs/1905.12886 (2019) - [i46]Xiawu Zheng, Rongrong Ji, Lang Tang, Yan Wan, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao:
Dynamic Distribution Pruning for Efficient Network Architecture Search. CoRR abs/1905.13543 (2019) - [i45]Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Random Path Selection for Incremental Learning. CoRR abs/1906.01120 (2019) - [i44]Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao:
Dynamic Neural Network Decoupling. CoRR abs/1906.01166 (2019) - [i43]Shadab Khan, Ahmed H. Shahin, Javier Villafruela, Jianbing Shen, Ling Shao:
Extreme Points Derived Confidence Map as a Cue For Class-Agnostic Segmentation Using Deep Neural Network. CoRR abs/1906.02421 (2019) - [i42]Jun Xu, Mengyang Yu, Li Liu, Fan Zhu, Dongwei Ren, Yingkun Hou, Haoqian Wang, Ling Shao:
STAR: A Structure and Texture Aware Retinex Model. CoRR abs/1906.06690 (2019) - [i41]Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao:
NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising. CoRR abs/1906.06834 (2019) - [i40]Jun Xu, Yuan Huang, Li Liu, Fan Zhu, Xingsong Hou, Ling Shao:
Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image. CoRR abs/1906.06878 (2019) - [i39]Qiuxia Lai, Wenguan Wang, Salman H. Khan, Jianbing Shen, Hanqiu Sun, Ling Shao:
Human vs Machine Attention in Neural Networks: A Comparative Study. CoRR abs/1906.08764 (2019) - [i38]Huazhu Fu, Boyang Wang, Jianbing Shen, Shanshan Cui, Yanwu Xu, Jiang Liu, Ling Shao:
Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces. CoRR abs/1907.05345 (2019) - [i37]Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Heng Kong, Ling Shao:
Coupled-Projection Residual Network for MRI Super-Resolution. CoRR abs/1907.05598 (2019) - [i36]Zhijie Zhang, Huazhu Fu, Hang Dai, Jianbing Shen, Yanwei Pang, Ling Shao:
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation. CoRR abs/1907.10936 (2019) - [i35]Yuan Zhou, Bingzhang Hu, Ling Shao:
Dual-reference Age Synthesis. CoRR abs/1908.02671 (2019) - [i34]Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao:
RANet: Ranking Attention Network for Fast Video Object Segmentation. CoRR abs/1908.06647 (2019) - [i33]Sanath Narayan, Hisham Cholakkal, Fahad Shahbaz Khan, Ling Shao:
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization. CoRR abs/1908.08216 (2019) - [i32]Muhammad Haris Khan, John McDonagh, Salman H. Khan, Muhammad Shahabuddin, Aditya Arora, Fahad Shahbaz Khan, Ling Shao, Georgios Tzimiropoulos:
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces. CoRR abs/1909.04951 (2019) - [i31]Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao:
Fast Large-Scale Discrete Optimization Based on Principal Coordinate Descent. CoRR abs/1909.07079 (2019) - [i30]Yanwei Pang, Jin Xie, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
Mask-Guided Attention Network for Occluded Pedestrian Detection. CoRR abs/1910.06160 (2019) - [i29]Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen:
Deep Contextual Attention for Human-Object Interaction Detection. CoRR abs/1910.07721 (2019) - [i28]Jianjun Lei, Yuxin Song, Bo Peng, Zhanyu Ma, Ling Shao, Yi-Zhe Song:
Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval. CoRR abs/1911.04470 (2019) - [i27]Biao Qian, Yang Wang, Zhao Zhang, Richang Hong, Meng Wang, Ling Shao:
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition. CoRR abs/1912.00418 (2019) - [i26]Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao:
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images. CoRR abs/1912.04670 (2019) - [i25]Hisham Cholakkal, Guolei Sun, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool:
Towards Partial Supervision for Generic Object Counting in Natural Scenes. CoRR abs/1912.06448 (2019) - [i24]Guolei Sun, Hisham Cholakkal, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes. CoRR abs/1912.06842 (2019) - 2018
- [j170]Jiawei Xu, Xiaoqin Zhang, Huiling Chen, Jing Li, Jin Zhang, Ling Shao, Gang Wang:
Automatic Analysis of Microaneurysms Turnover to Diagnose the Progression of Diabetic Retinopathy. IEEE Access 6: 9632-9642 (2018) - [j169]Yang Liu, Quanxue Gao, Xinbo Gao, Ling Shao:
L2, 1-Norm Discriminant Manifold Learning. IEEE Access 6: 40723-40734 (2018) - [j168]Philip Kinghorn, Li Zhang, Ling Shao:
A region-based image caption generator with refined descriptions. Neurocomputing 272: 416-424 (2018) - [j167]Heng Liu, Jungong Han, Shudong Hou, Ling Shao, Yue Ruan:
Single image super-resolution using a deep encoder-decoder symmetrical network with iterative back projection. Neurocomputing 282: 52-59 (2018) - [j166]Yanguo Zhao, Zhan Song, Feng Zheng, Ling Shao:
Learning a Multiple Kernel Similarity Metric for kinship verification. Inf. Sci. 430: 247-260 (2018) - [j165]Yang Long, Fan Zhu, Ling Shao, Junwei Han:
Face recognition with a small occluded training set using spatial and statistical pooling. Inf. Sci. 430: 634-644 (2018) - [j164]Heng Liu, Zilin Fu, Jungong Han, Ling Shao, Hongshen Liu:
Single satellite imagery simultaneous super-resolution and colorization using multi-task deep neural networks. J. Vis. Commun. Image Represent. 53: 20-30 (2018) - [j163]Dimitrios Sakkos, Heng Liu, Jungong Han, Ling Shao:
End-to-end video background subtraction with 3d convolutional neural networks. Multim. Tools Appl. 77(17): 23023-23041 (2018) - [j162]Feng Zheng, Yi Tang, Ling Shao:
Hetero-Manifold Regularisation for Cross-Modal Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1059-1071 (2018) - [j161]Yang Long, Li Liu, Fumin Shen, Ling Shao, Xuelong Li:
Zero-Shot Learning Using Synthesised Unseen Visual Data with Diffusion Regularisation. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2498-2512 (2018) - [j160]Shoubiao Tan, Feng Zheng, Li Liu, Jungong Han, Ling Shao:
Dense Invariant Feature-Based Support Vector Ranking for Cross-Camera Person Reidentification. IEEE Trans. Circuits Syst. Video Technol. 28(2): 356-363 (2018) - [j159]Jianbing Shen, Yan Zhang, Zhiyuan Liang, Chang Liu, Hanqiu Sun, Xiaopeng Hao, Jianhong Liu, Jian Yang, Ling Shao:
Robust Stereoscopic Crosstalk Prediction. IEEE Trans. Circuits Syst. Video Technol. 28(5): 1158-1168 (2018) - [j158]Wenguan Wang, Jianbing Shen, Hanqiu Sun, Ling Shao:
Video Co-Saliency Guided Co-Segmentation. IEEE Trans. Circuits Syst. Video Technol. 28(8): 1727-1736 (2018) - [j157]Jin-Bao Wang, Ke Lu, Jian Xue, Ning He, Ling Shao:
Single Image Dehazing Based on the Physical Model and MSRCR Algorithm. IEEE Trans. Circuits Syst. Video Technol. 28(9): 2190-2199 (2018) - [j156]Jiaojiao Zhao, Jungong Han, Ling Shao:
Unconstrained Face Recognition Using a Set-to-Set Distance Measure on Deep Learned Features. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2679-2689 (2018) - [j155]Jin Xie, Guoxian Dai, Fan Zhu, Ling Shao, Yi Fang:
Deep Nonlinear Metric Learning for 3-D Shape Retrieval. IEEE Trans. Cybern. 48(1): 412-422 (2018) - [j154]Zhaoxiang Zhang, Jiaxin Chen, Qiang Wu, Ling Shao:
GII Representation-Based Cross-View Gait Recognition by Discriminative Projection With List-Wise Constraints. IEEE Trans. Cybern. 48(10): 2935-2947 (2018) - [j153]Fang Guo, Wenguan Wang, Jianbing Shen, Ling Shao, Jian Yang, Dacheng Tao, Yuan Yan Tang:
Video Saliency Detection Using Object Proposals. IEEE Trans. Cybern. 48(11): 3159-3170 (2018) - [j152]Wenguan Wang, Jianbing Shen, Ling Shao:
Video Salient Object Detection via Fully Convolutional Networks. IEEE Trans. Image Process. 27(1): 38-49 (2018) - [j151]Baochang Zhang, Shangzhen Luan, Chen Chen, Jungong Han, Wei Wang, Alessandro Perina, Ling Shao:
Latent Constrained Correlation Filter. IEEE Trans. Image Process. 27(3): 1038-1048 (2018) - [j150]Haofeng Zhang, Li Liu, Yang Long, Ling Shao:
Unsupervised Deep Hashing With Pseudo Labels for Scalable Image Retrieval. IEEE Trans. Image Process. 27(4): 1626-1638 (2018) - [j149]Ziyun Cai, Yang Long, Ling Shao:
Adaptive RGB Image Recognition by Visual-Depth Embedding. IEEE Trans. Image Process. 27(5): 2471-2483 (2018) - [j148]Jianbing Shen, Jianteng Peng, Ling Shao:
Submodular Trajectories for Better Motion Segmentation in Videos. IEEE Trans. Image Process. 27(6): 2688-2700 (2018) - [j147]Li Liu, Yi Zhou, Ling Shao:
Deep Action Parsing in Videos With Large-Scale Synthesized Data. IEEE Trans. Image Process. 27(6): 2869-2882 (2018) - [j146]Yi Zhou, Li Liu, Ling Shao:
Vehicle Re-Identification by Deep Hidden Multi-View Inference. IEEE Trans. Image Process. 27(7): 3275-3287 (2018) - [j145]Feng Zheng, Ling Shao:
A Winner-Take-All Strategy for Improved Object Tracking. IEEE Trans. Image Process. 27(9): 4302-4313 (2018) - [j144]Jingtian Zhang, Hubert P. H. Shum, Jungong Han, Ling Shao:
Action Recognition From Arbitrary Views Using Transferable Dictionary Learning. IEEE Trans. Image Process. 27(10): 4709-4723 (2018) - [j143]Yi Zhou, Li Liu, Ling Shao, Matt Mellor:
Fast Automatic Vehicle Annotation for Urban Traffic Surveillance. IEEE Trans. Intell. Transp. Syst. 19(6): 1973-1984 (2018) - [j142]Feng Zheng, Ling Shao, Junwei Han:
Robust and Long-Term Object Tracking With an Application to Vehicles. IEEE Trans. Intell. Transp. Syst. 19(10): 3387-3399 (2018) - [j141]Yawen Huang, Ling Shao, Alejandro F. Frangi:
Cross-Modality Image Synthesis via Weakly Coupled and Geometry Co-Regularized Joint Dictionary Learning. IEEE Trans. Medical Imaging 37(3): 815-827 (2018) - [j140]Hongwei Hu, Bo Ma, Jianbing Shen, Ling Shao:
Manifold Regularized Correlation Object Tracking. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1786-1795 (2018) - [j139]Zijia Lin, Guiguang Ding, Jungong Han, Ling Shao:
End-to-End Feature-Aware Label Space Encoding for Multilabel Classification With Many Classes. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2472-2487 (2018) - [j138]Zheng Zhang, Yong Xu, Ling Shao, Jian Yang:
Discriminative Block-Diagonal Representation Learning for Image Recognition. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3111-3125 (2018) - [j137]Zheng Zhang, Ling Shao, Yong Xu, Li Liu, Jian Yang:
Marginal Representation Learning With Graph Structure Self-Adaptation. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4645-4659 (2018) - [j136]Bo Ma, Hongwei Hu, Jianbing Shen, Yuping Zhang, Ling Shao, Fatih Porikli:
Robust Object Tracking by Nonlinear Learning. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4769-4781 (2018) - [c128]BingZhang Hu, Feng Zheng, Ling Shao:
Dual-Reference Face Retrieval. AAAI 2018: 6918-6925 - [c127]Yang Long, Li Liu, Yuming Shen, Ling Shao:
Towards Affordable Semantic Searching: Zero-Shot Retrieval via Dominant Attributes. AAAI 2018: 7210-7217 - [c126]Ziyun Cai, Yang Long, Xiao-Yuan Jing, Ling Shao:
Adaptive Visual-Depth Fusion Transfer. ACCV (4) 2018: 56-73 - [c125]Yang Long, Yao Tan, Daniel Organisciak, Longzhi Yang, Ling Shao:
Towards Light-weight Annotations: Fuzzy Interpolative Reasoning for Zero-shot Image Classificaiton. BMVC 2018: 93 - [c124]Jiaojiao Zhao, Li Liu, Cees Snoek, Jungong Han, Ling Shao:
Pixel-level Semantics Guided Image Colorization. BMVC 2018: 156 - [c123]Xuyang Hu, Fan Zhu, Li Liu, Jin Xie, Jun Tang, Nian Wang, Fumin Shen, Ling Shao:
Structure-Aware 3D Shape Synthesis from Single-View Images. BMVC 2018: 230 - [c122]Zan Chen, Shidong Wang, Xingsong Hou, Ling Shao:
Recurrent Transformer Network for Remote Sensing Scene Categorisation. BMVC 2018: 266 - [c121]Xingping Dong, Jianbing Shen, Wenguan Wang, Yu Liu, Ling Shao, Fatih Porikli:
Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning. CVPR 2018: 518-527 - [c120]Yuming Shen, Li Liu, Fumin Shen, Ling Shao:
Zero-Shot Sketch-Image Hashing. CVPR 2018: 3598-3607 - [c119]Yi Zhou, Ling Shao:
Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification. CVPR 2018: 6489-6498 - [c118]Yi Zhu, Yang Long, Yu Guan, Shawn D. Newsam, Ling Shao:
Towards Universal Representation for Unseen Action Recognition. CVPR 2018: 9436-9445 - [c117]Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang:
Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States. ECCV (12) 2018: 106-123 - [c116]Jingyi Zhang, Fumin Shen, Li Liu, Fan Zhu, Mengyang Yu, Ling Shao, Heng Tao Shen, Luc Van Gool:
Generative Domain-Migration Hashing for Sketch-to-Image Retrieval. ECCV (2) 2018: 304-321 - [c115]Diwen Wan, Fumin Shen, Li Liu, Fan Zhu, Jie Qin, Ling Shao, Heng Tao Shen:
TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights. ECCV (2) 2018: 322-339 - [c114]Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen:
Highly-Economized Multi-view Binary Compression for Scalable Image Clustering. ECCV (12) 2018: 731-748 - [c113]Yang Liu, Quanxue Gao, Jin Li, Jungong Han, Ling Shao:
Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder. IJCAI 2018: 2490-2496 - [c112]Fan Zhu, Li Liu, Jin Xie, Fumin Shen, Ling Shao, Yi Fang:
Learning to Synthesize 3D Indoor Scenes from Monocular Images. ACM Multimedia 2018: 501-509 - [c111]Yi Zhou, Ling Shao:
Vehicle Re-Identification by Adversarial Bi-Directional LSTM Network. WACV 2018: 653-662 - [i23]Yuming Shen, Li Liu, Fumin Shen, Ling Shao:
Zero-Shot Sketch-Image Hashing. CoRR abs/1803.02284 (2018) - [i22]Yi Zhu, Yang Long, Yu Guan, Shawn D. Newsam, Ling Shao:
Towards Universal Representation for Unseen Action Recognition. CoRR abs/1803.08460 (2018) - [i21]Lin Wu, Yang Wang, Ling Shao:
Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval. CoRR abs/1804.11013 (2018) - [i20]Jiaojiao Zhao, Li Liu, Cees G. M. Snoek, Jungong Han, Ling Shao:
Pixel-level Semantics Guided Image Colorization. CoRR abs/1808.01597 (2018) - [i19]Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen:
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering. CoRR abs/1809.05992 (2018) - [i18]Federico Angelini, Zeyu Fu, Yang Long, Ling Shao, Syed Mohsen Naqvi:
ActionXPose: A Novel 2D Multi-view Pose-based Algorithm for Real-time Human Action Recognition. CoRR abs/1810.12126 (2018) - [i17]Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu, Ling Shao:
Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video. CoRR abs/1812.04960 (2018) - [i16]Lin Wu, Yang Wang, Ling Shao, Meng Wang:
3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification. CoRR abs/1812.10222 (2018) - 2017
- [j135]Jie Qin, Li Liu, Mengyang Yu, Yunhong Wang, Ling Shao:
Fast action retrieval from videos via feature disaggregation. Comput. Vis. Image Underst. 156: 104-116 (2017) - [j134]Li Liu, Mengyang Yu, Ling Shao:
Latent Structure Preserving Hashing. Int. J. Comput. Vis. 122(3): 439-457 (2017) - [j133]Ling Shao, Ziyun Cai, Li Liu, Ke Lu:
Performance evaluation of deep feature learning for RGB-D image/video classification. Inf. Sci. 385: 266-283 (2017) - [j132]Redzuan Abdul Manap, Ling Shao, Alejandro F. Frangi:
PATCH-IQ: A patch based learning framework for blind image quality assessment. Inf. Sci. 420: 329-344 (2017) - [j131]Baochang Zhang, Jungong Han, Ling Shao:
Guest Editorial: Feature Learning from RGB-D Data for Multimedia Applications. Multim. Tools Appl. 76(3): 4243-4248 (2017) - [j130]Ziyun Cai, Jungong Han, Li Liu, Ling Shao:
RGB-D datasets using microsoft kinect or similar sensors: a survey. Multim. Tools Appl. 76(3): 4313-4355 (2017) - [j129]Xingping Dong, Jianbing Shen, Ling Shao:
Hierarchical Superpixel-to-Pixel Dense Matching. IEEE Trans. Circuits Syst. Video Technol. 27(12): 2518-2526 (2017) - [j128]Yingjie Xia, Luming Zhang, Richang Hong, Liqiang Nie, Yan Yan, Ling Shao:
Perceptually Guided Photo Retargeting. IEEE Trans. Cybern. 47(3): 566-578 (2017) - [j127]Liqiang Nie, Luming Zhang, Yan Yan, Xiaojun Chang, Maofu Liu, Ling Shao:
Multiview Physician-Specific Attributes Fusion for Health Seeking. IEEE Trans. Cybern. 47(11): 3680-3691 (2017) - [j126]Luming Zhang, Peiguang Jing, Yuting Su, Chao Zhang, Ling Shao:
SnapVideo: Personalized Video Generation for a Sightseeing Trip. IEEE Trans. Cybern. 47(11): 3866-3878 (2017) - [j125]Shang-Wen Chen, Xianyong Fang, Jianbing Shen, Linbo Wang, Ling Shao:
Single-Image Distance Measurement by a Smart Mobile Device. IEEE Trans. Cybern. 47(12): 4451-4462 (2017) - [j124]Li Liu, Zijia Lin, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han:
Sequential Discrete Hashing for Scalable Cross-Modality Similarity Retrieval. IEEE Trans. Image Process. 26(1): 107-118 (2017) - [j123]Lining Zhang, Hubert P. H. Shum, Ling Shao:
Manifold Regularized Experimental Design for Active Learning. IEEE Trans. Image Process. 26(2): 969-981 (2017) - [j122]Yi Tang, Ling Shao:
Pairwise Operator Learning for Patch-Based Single-Image Super-Resolution. IEEE Trans. Image Process. 26(2): 994-1003 (2017) - [j121]Jin Xie, Fan Zhu, Guoxian Dai, Ling Shao, Yi Fang:
Progressive Shape-Distribution-Encoder for Learning 3D Shape Representation. IEEE Trans. Image Process. 26(3): 1231-1242 (2017) - [j120]Li Liu, Mengyang Yu, Ling Shao:
Learning Short Binary Codes for Large-scale Image Retrieval. IEEE Trans. Image Process. 26(3): 1289-1299 (2017) - [j119]Yuchen Guo, Guiguang Ding, Li Liu, Jungong Han, Ling Shao:
Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval. IEEE Trans. Image Process. 26(3): 1344-1354 (2017) - [j118]Zheng Zhang, Zhihui Lai, Yong Xu, Ling Shao, Jian Wu, Guo-Sen Xie:
Discriminative Elastic-Net Regularized Linear Regression. IEEE Trans. Image Process. 26(3): 1466-1481 (2017) - [j117]Baochang Zhang, Yun Yang, Chen Chen, Linlin Yang, Jungong Han, Ling Shao:
Action Recognition Using 3D Histograms of Texture and A Multi-Class Boosting Classifier. IEEE Trans. Image Process. 26(10): 4648-4660 (2017) - [j116]Shoubiao Tan, Xi Sun, Wentao Chan, Lei Qu, Ling Shao:
Robust Face Recognition With Kernelized Locality-Sensitive Group Sparsity Representation. IEEE Trans. Image Process. 26(10): 4661-4668 (2017) - [j115]Jianbing Shen, Jianteng Peng, Xingping Dong, Ling Shao, Fatih Porikli:
Higher Order Energies for Image Segmentation. IEEE Trans. Image Process. 26(10): 4911-4922 (2017) - [j114]Lianghua Huang, Bo Ma, Jianbing Shen, Hui He, Ling Shao, Fatih Porikli:
Visual Tracking by Sampling in Part Space. IEEE Trans. Image Process. 26(12): 5800-5810 (2017) - [j113]Xiantong Zhen, Feng Zheng, Ling Shao, Xianbin Cao, Dan Xu:
Supervised Local Descriptor Learning for Human Action Recognition. IEEE Trans. Multim. 19(9): 2056-2065 (2017) - [j112]Mengyang Yu, Li Liu, Ling Shao:
Binary Set Embedding for Cross-Modal Retrieval. IEEE Trans. Neural Networks Learn. Syst. 28(12): 2899-2910 (2017) - [c110]Jiawei Xu, Yu-An Chen, Kun Guo, Jiheng Wang, Federica Menchinelli, Chao Jiang, Chuang Zhang, Ling Shao:
What has been missed for real life driving? an inspirational thinking from human innate biases. AVSS 2017: 1-6 - [c109]Yuming Shen, Li Liu, Ling Shao:
Unsupervised Deep Generative Hashing. BMVC 2017 - [c108]Yi Zhou, Ling Shao:
Cross-View GAN Based Vehicle Generation for Re-identification. BMVC 2017 - [c107]Jie Qin, Li Liu, Ling Shao, Fumin Shen, Bingbing Ni, Jiaxin Chen, Yunhong Wang:
Zero-Shot Action Recognition with Error-Correcting Output Codes. CVPR 2017: 1042-1051 - [c106]Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao:
Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval. CVPR 2017: 2298-2307 - [c105]Li Liu, Ling Shao, Fumin Shen, Mengyang Yu:
Discretely Coding Semantic Rank Orders for Supervised Image Hashing. CVPR 2017: 5140-5149 - [c104]Jiaxin Chen, Yunhong Wang, Jie Qin, Li Liu, Ling Shao:
Fast Person Re-identification via Cross-Camera Semantic Binary Transformation. CVPR 2017: 5330-5339 - [c103]Yawen Huang, Ling Shao, Alejandro F. Frangi:
Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding. CVPR 2017: 5787-5796 - [c102]Yang Long, Li Liu, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han:
From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis. CVPR 2017: 6165-6174 - [c101]Jie Qin, Li Liu, Ling Shao, Bingbing Ni, Chen Chen, Fumin Shen, Yunhong Wang:
Binary Coding for Partial Action Analysis with Limited Observation Ratios. CVPR 2017: 6728-6737 - [c100]Mansoureh Pezhman Pour, Huseyin Seker, Ling Shao:
Automated lesion segmentation and dermoscopic feature segmentation for skin cancer analysis. EMBC 2017: 640-643 - [c99]Yuming Shen, Li Liu, Ling Shao, Jingkuan Song:
Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval. ICCV 2017: 4117-4126 - [c98]Ziyun Cai, Ling Shao:
RGB-D data fusion in complex space. ICIP 2017: 1965-1969 - [c97]Li Liu, Yi Zhou, Ling Shao:
DAP3D-Net: Where, what and how actions occur in videos? ICRA 2017: 138-145 - [c96]Yuming Shen, Li Zhang, Ling Shao:
Semi-supervised vision-language mapping via variational learning. ICRA 2017: 1349-1354 - [c95]Gengshen Wu, Li Liu, Yuchen Guo, Guiguang Ding, Jungong Han, Jialie Shen, Ling Shao:
Unsupervised Deep Video Hashing with Balanced Rotation. IJCAI 2017: 3076-3082 - [c94]Liang Xie, Jialie Shen, Jungong Han, Lei Zhu, Ling Shao:
Dynamic Multi-View Hashing for Online Image Retrieval. IJCAI 2017: 3133-3139 - [c93]Philip Kinghorn, Li Zhang, Ling Shao:
Deep learning based image description generation. IJCNN 2017: 919-926 - [c92]Yawen Huang, Ling Shao, Alejandro F. Frangi:
DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRI. MICCAI (3) 2017: 89-98 - [c91]Yang Long, Ling Shao:
Learning to Recognise Unseen Classes by A Few Similes. ACM Multimedia 2017: 636-644 - [c90]Yang Long, Ling Shao:
Describing Unseen Classes by Exemplars: Zero-Shot Learning Using Grouped Simile Ensemble. WACV 2017: 907-915 - [c89]Yang Long, Li Liu, Ling Shao:
Towards Fine-Grained Open Zero-Shot Learning: Inferring Unseen Visual Features from Attributes. WACV 2017: 944-952 - [i15]Wenguan Wang, Jianbing Shen, Ling Shao:
Deep Learning For Video Saliency Detection. CoRR abs/1702.00871 (2017) - [i14]Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao:
Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval. CoRR abs/1703.05605 (2017) - [i13]Yang Long, Li Liu, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han:
From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis. CoRR abs/1705.01782 (2017) - [i12]Yawen Huang, Ling Shao, Alejandro F. Frangi:
Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images using Weakly-Supervised Joint Convolutional Sparse Coding. CoRR abs/1705.02596 (2017) - [i11]BingZhang Hu, Feng Zheng, Ling Shao:
Dual-reference Face Retrieval: What Does He/She Look Like at Age 'X'? CoRR abs/1706.00631 (2017) - [i10]Yawen Huang, Ling Shao, Alejandro F. Frangi:
DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRI. CoRR abs/1706.04954 (2017) - [i9]Zheng Zhang, Yong Xu, Ling Shao, Jian Yang:
Discriminative Block-Diagonal Representation Learning for Image Recognition. CoRR abs/1707.03548 (2017) - [i8]Yuming Shen, Li Liu, Ling Shao, Jingkuan Song:
Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval. CoRR abs/1708.02531 (2017) - [i7]Baochang Zhang, Shangzhen Luan, Chen Chen, Jungong Han, Wei Wang, Alessandro Perina, Ling Shao:
Latent Constrained Correlation Filter. CoRR abs/1711.04192 (2017) - 2016
- [j111]Yang Long, Fan Zhu, Ling Shao:
Recognising occluded multi-view actions using local nearest neighbour embedding. Comput. Vis. Image Underst. 144: 36-45 (2016) - [j110]Fan Zhu, Ling Shao, Yi Fang:
Boosted Cross-Domain Dictionary Learning for Visual Categorization. IEEE Intell. Syst. 31(3): 6-18 (2016) - [j109]Luming Zhang, Yi Yang, Feiping Nie, Ling Shao:
Guest editors' introduction: Perception, Aesthetics, and Emotion in Multimedia Quality Modeling. IEEE Multim. 23(3): 20-22 (2016) - [j108]Redzuan Abdul Manap, Ling Shao, Alejandro F. Frangi:
Nonparametric Quality Assessment of Natural Images. IEEE Multim. 23(4): 22-30 (2016) - [j107]Ling Shao, Li Liu, Mengyang Yu:
Kernelized Multiview Projection for Robust Action Recognition. Int. J. Comput. Vis. 118(2): 115-129 (2016) - [j106]Yanwei Pang, Ling Shao:
Special issue on dimensionality reduction for visual big data. Neurocomputing 173: 125-126 (2016) - [j105]Ke Wang, Jun Tang, Nian Wang, Ling Shao:
Semantic Boosting Cross-Modal Hashing for efficient multimedia retrieval. Inf. Sci. 330: 199-210 (2016) - [j104]Jian Xue, Jun Yao, Ke Lu, Ling Shao, Mohammad Muntasir Rahman:
Efficient volume rendering methods for out-of-Core datasets by semi-adaptive partitioning. Inf. Sci. 370-371: 463-475 (2016) - [j103]Xiantong Zhen, Ling Shao:
Action recognition via spatio-temporal local features: A comprehensive study. Image Vis. Comput. 50: 1-13 (2016) - [j102]Xiantong Zhen, Ling Shao, Stephen J. Maybank, Rama Chellappa:
Handcrafted vs. learned representations for human action recognition. Image Vis. Comput. 55: 39-41 (2016) - [j101]Fan Zhu, Ling Shao, Jin Xie, Yi Fang:
From handcrafted to learned representations for human action recognition: A survey. Image Vis. Comput. 55: 42-52 (2016) - [j100]Di Wu, Lionel Pigou, Pieter-Jan Kindermans, Nam Do-Hoang Le, Ling Shao, Joni Dambre, Jean-Marc Odobez:
Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38(8): 1583-1597 (2016) - [j99]Mengyang Yu, Li Liu, Ling Shao:
Structure-Preserving Binary Representations for RGB-D Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38(8): 1651-1664 (2016) - [j98]Mengyang Yu, Ling Shao, Xiantong Zhen, Xiaofei He:
Local Feature Discriminant Projection. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1908-1914 (2016) - [j97]Jie Qin, Yunhong Wang, Li Liu, Jiaxin Chen, Ling Shao:
Beyond Semantic Attributes: Discrete Latent Attributes Learning for Zero-Shot Recognition. IEEE Signal Process. Lett. 23(11): 1667-1671 (2016) - [j96]Nikolaos V. Boulgouris, David R. Bull, Marco Cagnazzo, Andrea Cavallaro, Gene Cheung, Amit K. Roy-Chowdhury, Pedro Comesaña Alfaro, Shan Du, Sarp Ertürk, Markus Flierl, Gian Luca Foresti, Gang Hua, Zhu Li, Weisi Lin, Siwei Ma, Pramod Kumar Meher, Debargha Mukherjee, Aleksandra Pizurica, Andrea Prati, Paolo Remagnino, Arun Ross, Shin'ichi Satoh, Andreas E. Savakis, Heiko Schwarz, Ling Shao, Shervin Shirmohammadi, Giuseppe Valenzise, Meng Wang, Zhou Wang, Yonggang Wen, Dong Xu, Junsong Yuan, Yuan Yuan:
Introduction of New Associate Editors. IEEE Trans. Circuits Syst. Video Technol. 26(2): 253-263 (2016) - [j95]Li Liu, Ling Shao, Xuelong Li, Ke Lu:
Learning Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach. IEEE Trans. Cybern. 46(1): 158-170 (2016) - [j94]Jun Tang, Ling Shao, Xuelong Li, Ke Lu:
A Local Structural Descriptor for Image Matching via Normalized Graph Laplacian Embedding. IEEE Trans. Cybern. 46(2): 410-420 (2016) - [j93]Bo Ma, Lianghua Huang, Jianbing Shen, Ling Shao:
Discriminative Tracking Using Tensor Pooling. IEEE Trans. Cybern. 46(11): 2411-2422 (2016) - [j92]Li Liu, Mengyang Yu, Ling Shao:
Unsupervised Local Feature Hashing for Image Similarity Search. IEEE Trans. Cybern. 46(11): 2548-2558 (2016) - [j91]Xingping Dong, Jianbing Shen, Ling Shao, Luc Van Gool:
Sub-Markov Random Walk for Image Segmentation. IEEE Trans. Image Process. 25(2): 516-527 (2016) - [j90]Jie Qin, Li Liu, Zhaoxiang Zhang, Yunhong Wang, Ling Shao:
Compressive Sequential Learning for Action Similarity Labeling. IEEE Trans. Image Process. 25(2): 756-769 (2016) - [j89]Lining Zhang, Hubert P. H. Shum, Ling Shao:
Discriminative Semantic Subspace Analysis for Relevance Feedback. IEEE Trans. Image Process. 25(3): 1275-1287 (2016) - [j88]Ruomei Yan, Ling Shao:
Blind Image Blur Estimation via Deep Learning. IEEE Trans. Image Process. 25(4): 1910-1921 (2016) - [j87]Jun Tang, Ke Wang, Ling Shao:
Supervised Matrix Factorization Hashing for Cross-Modal Retrieval. IEEE Trans. Image Process. 25(7): 3157-3166 (2016) - [j86]Bo Ma, Hongwei Hu, Jianbing Shen, Yangbiao Liu, Ling Shao:
Generalized Pooling for Robust Object Tracking. IEEE Trans. Image Process. 25(9): 4199-4208 (2016) - [j85]Wenguan Wang, Jianbing Shen, Ling Shao, Fatih Porikli:
Correspondence Driven Saliency Transfer. IEEE Trans. Image Process. 25(11): 5025-5034 (2016) - [j84]Bo Ma, Lianghua Huang, Jianbing Shen, Ling Shao, Ming-Hsuan Yang, Fatih Porikli:
Visual Tracking Under Motion Blur. IEEE Trans. Image Process. 25(12): 5867-5876 (2016) - [j83]Jianbing Shen, Xiaopeng Hao, Zhiyuan Liang, Yu Liu, Wenguan Wang, Ling Shao:
Real-Time Superpixel Segmentation by DBSCAN Clustering Algorithm. IEEE Trans. Image Process. 25(12): 5933-5942 (2016) - [j82]Haibo He, Nitesh V. Chawla, Huanhuan Chen, Yoonsuck Choe, Andries P. Engelbrecht, Jaya deva, Lyle N. Long, Ali A. Minai, Feiping Nie, Umut Ozertem, Barak A. Pearlmutter, Ling Shao, Jennie Si, Jochen J. Steil, Brijesh K. Verma, Ding Wang:
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. IEEE Trans. Neural Networks Learn. Syst. 27(1): 1-7 (2016) - [j81]Junwei Han, Ling Shao, Nuno Vasconcelos, Jungong Han, Dong Xu:
Guest Editorial Special Section on Visual Saliency Computing and Learning. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1118-1121 (2016) - [j80]Dingwen Zhang, Junwei Han, Jungong Han, Ling Shao:
Cosaliency Detection Based on Intrasaliency Prior Transfer and Deep Intersaliency Mining. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1163-1176 (2016) - [j79]Li Liu, Ling Shao:
Sequential Compact Code Learning for Unsupervised Image Hashing. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2526-2536 (2016) - [c88]Yang Long, Li Liu, Ling Shao:
Attribute Embedding with Visual-Semantic Ambiguity Removal for Zero-shot Learning. BMVC 2016 - [c87]Yi Zhou, Li Liu, Ling Shao, Matt Mellor:
DAVE: A Unified Framework for Fast Vehicle Detection and Annotation. ECCV (2) 2016: 278-293 - [c86]Zequn Li, Honglei Li, Ling Shao:
Improving Online Customer Shopping Experience with Computer Vision and Machine Learning Methods. HCI (21) 2016: 427-436 - [c85]Chulwoo Lee, Ling Shao:
Learning-based single image dehazing via genetic programming. ICPR 2016: 745-750 - [c84]Yawen Huang, Fan Zhu, Ling Shao, Alejandro F. Frangi:
Color object recognition via cross-domain learning on RGB-D images. ICRA 2016: 1672-1677 - [c83]Jingtian Zhang, Lining Zhang, Hubert P. H. Shum, Ling Shao:
Arbitrary view action recognition via transfer dictionary learning on synthetic training data. ICRA 2016: 1678-1684 - [c82]Feng Zheng, Ling Shao:
Learning Cross-View Binary Identities for Fast Person Re-Identification. IJCAI 2016: 2399-2406 - [c81]Yawen Huang, Leandro Beltrachini, Ling Shao, Alejandro F. Frangi:
Geometry Regularized Joint Dictionary Learning for Cross-Modality Image Synthesis in Magnetic Resonance Imaging. SASHIMI@MICCAI 2016: 118-126 - [i6]Li Liu, Yi Zhou, Ling Shao:
DAP3D-Net: Where, What and How Actions Occur in Videos? CoRR abs/1602.03346 (2016) - [i5]Yi Zhou, Li Liu, Ling Shao, Matt Mellor:
DAVE: A Unified Framework for Fast Vehicle Detection and Annotation. CoRR abs/1607.04564 (2016) - 2015
- [j78]Shoubiao Tan, Li Liu, Chunyu Peng, Ling Shao:
Image-to-class distance ratio: A feature filtering metric for image classification. Neurocomputing 165: 211-221 (2015) - [j77]Peng Peng, Ling Shao, Jungong Han, Junwei Han:
Saliency-aware image-to-class distances for image classification. Neurocomputing 166: 337-345 (2015) - [j76]Xuezhi Wen, Ling Shao, Yu Xue, Wei Fang:
A rapid learning algorithm for vehicle classification. Inf. Sci. 295: 395-406 (2015) - [j75]Xiang Ji, Junwei Han, Xi Jiang, Xintao Hu, Lei Guo, Jungong Han, Ling Shao, Tianming Liu:
Analysis of music/speech via integration of audio content and functional brain response. Inf. Sci. 297: 271-282 (2015) - [j74]Redzuan Abdul Manap, Ling Shao:
Non-distortion-specific no-reference image quality assessment: A survey. Inf. Sci. 301: 141-160 (2015) - [j73]Li Liu, Ling Shao, Xuelong Li:
Evolutionary compact embedding for large-scale image classification. Inf. Sci. 316: 567-581 (2015) - [j72]Ahmad Khan, M. Arfan Jaffar, Ling Shao:
A modified adaptive differential evolution algorithm for color image segmentation. Knowl. Inf. Syst. 43(3): 583-597 (2015) - [j71]Zhuolin Jiang, Zhe Lin, Haibin Ling, Fatih Porikli, Ling Shao, Pavan K. Turaga:
Discriminative feature learning from big data for visual recognition. Pattern Recognit. 48(10): 2961-2963 (2015) - [j70]Xuezhi Wen, Ling Shao, Wei Fang, Yu Xue:
Efficient Feature Selection and Classification for Vehicle Detection. IEEE Trans. Circuits Syst. Video Technol. 25(3): 508-517 (2015) - [j69]Junwei Han, Changyuan Chen, Ling Shao, Xintao Hu, Jungong Han, Tianming Liu:
Learning Computational Models of Video Memorability from fMRI Brain Imaging. IEEE Trans. Cybern. 45(8): 1692-1703 (2015) - [j68]Li Liu, Mengyang Yu, Ling Shao:
Multiview Alignment Hashing for Efficient Image Search. IEEE Trans. Image Process. 24(3): 956-966 (2015) - [j67]Ke Lu, Ning He, Jian Xue, Jiyang Dong, Ling Shao:
Learning View-Model Joint Relevance for 3D Object Retrieval. IEEE Trans. Image Process. 24(5): 1449-1459 (2015) - [j66]Qingsong Zhu, Jiaming Mai, Ling Shao:
A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior. IEEE Trans. Image Process. 24(11): 3522-3533 (2015) - [j65]Xingping Dong, Jianbing Shen, Ling Shao, Ming-Hsuan Yang:
Interactive Cosegmentation Using Global and Local Energy Optimization. IEEE Trans. Image Process. 24(11): 3966-3977 (2015) - [j64]Wenguan Wang, Jianbing Shen, Ling Shao:
Consistent Video Saliency Using Local Gradient Flow Optimization and Global Refinement. IEEE Trans. Image Process. 24(11): 4185-4196 (2015) - [j63]Bo Ma, Jianbing Shen, Yangbiao Liu, Hongwei Hu, Ling Shao, Xuelong Li:
Visual Tracking Using Strong Classifier and Structural Local Sparse Descriptors. IEEE Trans. Multim. 17(10): 1818-1828 (2015) - [j62]Qingsong Zhu, Ling Shao, Xuelong Li, Lei Wang:
Targeting Accurate Object Extraction From an Image: A Comprehensive Study of Natural Image Matting. IEEE Trans. Neural Networks Learn. Syst. 26(2): 185-207 (2015) - [j61]Ling Shao, Fan Zhu, Xuelong Li:
Transfer Learning for Visual Categorization: A Survey. IEEE Trans. Neural Networks Learn. Syst. 26(5): 1019-1034 (2015) - [c80]Redzuan Abdul Manap, Alejandro F. Frangi, Ling Shao:
Blind image quality assessment via a two-stage non-parametric framework. ACPR 2015: 796-800 - [c79]Ziyun Cai, Li Liu, Mengyang Yu, Ling Shao:
Latent Structure Preserving Hashing. BMVC 2015: 172.1-172.11 - [c78]Li Liu, Mengyang Yu, Ling Shao:
Local Feature Binary Coding for Approximate Nearest Neighbor Search. BMVC 2015: 173.1-173.12 - [c77]Jie Qin, Li Liu, Mengyang Yu, Yunhong Wang, Ling Shao:
Fast Action Retrieval from Videos via Feature Disaggregation. BMVC 2015: 180.1-180.11 - [c76]Redzuan Abdul Manap, Alejandro F. Frangi, Ling Shao:
A non-parametric framework for no-reference image quality assessment. GlobalSIP 2015: 562-566 - [c75]Shoubiao Tan, Feng Zheng, Ling Shao:
Dense invariant feature based support vector ranking for person re-identification. GlobalSIP 2015: 687-691 - [c74]Li Liu, Mengyang Yu, Ling Shao:
Projection Bank: From High-Dimensional Data to Medium-Length Binary Codes. ICCV 2015: 2821-2829 - [c73]Mengjuan Fei, Jing Li, Ling Shao, Zhaojie Ju, Gaoxiang Ouyang:
Robust Visual Tracking Based on Improved Perceptual Hashing for Robot Vision. ICIRA (3) 2015: 331-340 - [c72]Bo Dong, Ling Shao, Marc Da Costa, Oliver Bandmann, Alejandro F. Frangi:
Deep learning for automatic cell detection in wide-field microscopy zebrafish images. ISBI 2015: 772-776 - [c71]Qingsong Zhu, Jie Yuan, Ling Shao:
The current challenges and prospects of rain detection and removal from videos. ROBIO 2015: 843-846 - [c70]Wei Chen, Li Zhang, Ling Shao, Rosemary Bass, Chenyu Liu, M. Alamgir Hossain:
Modelling of tumour-induced angiogenesis with regress by immune factor. SKIMA 2015: 1-8 - [i4]Mengyang Yu, Li Liu, Ling Shao:
Kernelized Multiview Projection. CoRR abs/1508.00430 (2015) - [i3]Li Liu, Mengyang Yu, Ling Shao:
Projection Bank: From High-dimensional Data to Medium-length Binary Codes. CoRR abs/1509.04916 (2015) - 2014
- [j60]Jun Tang, Ling Shao, Xuelong Li:
Efficient dictionary learning for visual categorization. Comput. Vis. Image Underst. 124: 91-98 (2014) - [j59]Fan Zhu, Ling Shao:
Weakly-Supervised Cross-Domain Dictionary Learning for Visual Recognition. Int. J. Comput. Vis. 109(1-2): 42-59 (2014) - [j58]Dabo Guo, Ling Shao, Jungong Han:
Feature-based motion compensated interpolation for frame rate up-conversion. Neurocomputing 123: 390-397 (2014) - [j57]Simon Jones, Ling Shao, Kairan Du:
Active learning for human action retrieval using query pool selection. Neurocomputing 124: 89-96 (2014) - [j56]Di Wu, Ling Shao:
Multi-Max-Margin Support Vector Machine for multi-source human action recognition. Neurocomputing 127: 98-103 (2014) - [j55]Junwei Han, Liye Sun, Xintao Hu, Jungong Han, Ling Shao:
Spatial and temporal visual attention prediction in videos using eye movement data. Neurocomputing 145: 140-153 (2014) - [j54]Jing Li, Wei Huang, Ling Shao, Nigel M. Allinson:
Building recognition in urban environments: A survey of state-of-the-art and future challenges. Inf. Sci. 277: 406-420 (2014) - [j53]Xiantong Zhen, Ling Shao, Xuelong Li:
Action recognition by spatio-temporal oriented energies. Inf. Sci. 281: 295-309 (2014) - [j52]Junwei Han, Kaiming Li, Ling Shao, Xintao Hu, Sheng He, Lei Guo, Jungong Han, Tianming Liu:
Video abstraction based on fMRI-driven visual attention model. Inf. Sci. 281: 781-796 (2014) - [j51]Junwei Han, Dongyang Wang, Ling Shao, Xiaoliang Qian, Gong Cheng, Jungong Han:
Image visual attention computation and application via the learning of object attributes. Mach. Vis. Appl. 25(7): 1671-1683 (2014) - [j50]Jun Tang, Ling Shao, Xiantong Zhen:
Robust point pattern matching based on spectral context. Pattern Recognit. 47(3): 1469-1484 (2014) - [j49]Li Liu, Ling Shao, Feng Zheng, Xuelong Li:
Realistic action recognition via sparsely-constructed Gaussian processes. Pattern Recognit. 47(12): 3819-3827 (2014) - [j48]Ling Shao, Xinbo Gao, Houqiang Li:
Image restoration and enhancement: Recent advances and applications. Signal Process. 103: 1-5 (2014) - [j47]Ruomei Yan, Ling Shao, Li Liu, Yan Liu:
Natural image denoising using evolved local adaptive filters. Signal Process. 103: 36-44 (2014) - [j46]Ling Shao, Amin Ur Rehman:
Image demosaicing using content and colour-correlation analysis. Signal Process. 103: 84-91 (2014) - [j45]Ling Shao, Simon Jones, Xuelong Li:
Efficient Search and Localization of Human Actions in Video Databases. IEEE Trans. Circuits Syst. Video Technol. 24(3): 504-512 (2014) - [j44]Ling Shao, Xiantong Zhen, Dacheng Tao, Xuelong Li:
Spatio-Temporal Laplacian Pyramid Coding for Action Recognition. IEEE Trans. Cybern. 44(6): 817-827 (2014) - [j43]Ling Shao, Ruomei Yan, Xuelong Li, Yan Liu:
From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms. IEEE Trans. Cybern. 44(7): 1001-1013 (2014) - [j42]Lei Zhang, Xiantong Zhen, Ling Shao:
Learning Object-to-Class Kernels for Scene Classification. IEEE Trans. Image Process. 23(8): 3241-3253 (2014) - [j41]Ling Shao, Li Liu, Xuelong Li:
Feature Learning for Image Classification Via Multiobjective Genetic Programming. IEEE Trans. Neural Networks Learn. Syst. 25(7): 1359-1371 (2014) - [j40]Ling Shao, Di Wu, Xuelong Li:
Learning Deep and Wide: A Spectral Method for Learning Deep Networks. IEEE Trans. Neural Networks Learn. Syst. 25(12): 2303-2308 (2014) - [c69]Xiantong Zhen, Ling Shao, Feng Zheng:
Discriminative Embedding via Image-to-Class Distances. BMVC 2014 - [c68]Feng Zheng, Ling Shao, James M. W. Brownjohn, Vitomir Racic:
Learn++ for Robust Object Tracking. BMVC 2014 - [c67]Qingsong Zhu, Jiaming Mai, Ling Shao:
Single Image Dehazing Using Color Attenuation Prior. BMVC 2014 - [c66]Fan Zhu, Ling Shao, Jun Tang:
Boosted Cross-Domain Categorization. BMVC 2014 - [c65]Fan Zhu, Ling Shao, Mengyang Yu:
Cross-Modality Submodular Dictionary Learning for Information Retrieval. CIKM 2014: 1479-1488 - [c64]Simon Jones, Ling Shao:
Unsupervised Spectral Dual Assignment Clustering of Human Actions in Context. CVPR 2014: 604-611 - [c63]Di Wu, Ling Shao:
Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition. CVPR 2014: 724-731 - [c62]Simon Jones, Ling Shao:
A Multigraph Representation for Improved Unsupervised/Semi-supervised Learning of Human Actions. CVPR 2014: 820-826 - [c61]Fan Zhu, Zhuolin Jiang, Ling Shao:
Submodular Object Recognition. CVPR 2014: 2457-2464 - [c60]Di Wu, Ling Shao:
Deep Dynamic Neural Networks for Gesture Segmentation and Recognition. ECCV Workshops (1) 2014: 552-571 - [c59]Bo Dong, Ling Shao, Alejandro F. Frangi, Oliver Bandmann, Marc Da Costa:
Three-Dimensional Deconvolution of Wide Field Microscopy with Sparse Priors: Application to Zebrafish Imagery. ICPR 2014: 865-870 - [c58]Li Liu, Ling Shao:
Discriminative Partition Sparsity Analysis. ICPR 2014: 1597-1602 - [c57]Xiantong Zhen, Ling Shao:
A Performance Evaluation on Action Recognition with Local Features. ICPR 2014: 4495-4500 - [c56]Fan Zhu, Ling Shao:
Correspondence-Free Dictionary Learning for Cross-View Action Recognition. ICPR 2014: 4525-4530 - [c55]Di Wu, Ling Shao:
Multimodal Dynamic Networks for Gesture Recognition. ACM Multimedia 2014: 945-948 - [c54]Jun Tang, Ling Shao, Simon Jones:
Point pattern matching based on line graph spectral context and descriptor embedding. WACV 2014: 17-22 - [c53]Simon Jones, Ling Shao:
Linear regression motion analysis for unsupervised temporal segmentation of human actions. WACV 2014: 816-822 - 2013
- [j39]Muhammad Mubashir, Ling Shao, Nicholas Luke Seed:
A survey on fall detection: Principles and approaches. Neurocomputing 100: 144-152 (2013) - [j38]Feng Zheng, Zhan Song, Ling Shao, Ronald Chung, Kui Jia, Xinyu Wu:
A semi-supervised approach for dimensionality reduction with distributional similarity. Neurocomputing 103: 210-221 (2013) - [j37]Dongjie Zhao, Ling Shao, Xiantong Zhen, Yan Liu:
Combining appearance and structural features for human action recognition. Neurocomputing 113: 88-96 (2013) - [j36]Simon Jones, Ling Shao:
Content-based retrieval of human actions from realistic video databases. Inf. Sci. 236: 56-65 (2013) - [j35]Li Liu, Ling Shao, Peter I. Rockett:
Boosted key-frame selection and correlated pyramidal motion-feature representation for human action recognition. Pattern Recognit. 46(7): 1810-1818 (2013) - [j34]Fan Zhu, Ling Shao, Mingxiu Lin:
Multi-view action recognition using local similarity random forests and sensor fusion. Pattern Recognit. Lett. 34(1): 20-24 (2013) - [j33]Xiantong Zhen, Ling Shao:
A local descriptor based on Laplacian pyramid coding for action recognition. Pattern Recognit. Lett. 34(15): 1899-1905 (2013) - [j32]Li Liu, Ling Shao, Peter I. Rockett:
Human action recognition based on boosted feature selection and naive Bayes nearest-neighbor classification. Signal Process. 93(6): 1521-1530 (2013) - [j31]Di Wu, Ling Shao:
Silhouette Analysis-Based Action Recognition Via Exploiting Human Poses. IEEE Trans. Circuits Syst. Video Technol. 23(2): 236-243 (2013) - [j30]Xiantong Zhen, Ling Shao, Dacheng Tao, Xuelong Li:
Embedding Motion and Structure Features for Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 23(7): 1182-1190 (2013) - [j29]Ling Shao, Jungong Han, Dong Xu, Jamie Shotton:
Computer vision for RGB-D sensors: Kinect and its applications [special issue intro.]. IEEE Trans. Cybern. 43(5): 1314-1317 (2013) - [j28]Jungong Han, Ling Shao, Dong Xu, Jamie Shotton:
Enhanced Computer Vision With Microsoft Kinect Sensor: A Review. IEEE Trans. Cybern. 43(5): 1318-1334 (2013) - [j27]Li Liu, Ling Shao, Xiantong Zhen, Xuelong Li:
Learning Discriminative Key Poses for Action Recognition. IEEE Trans. Cybern. 43(6): 1860-1870 (2013) - [j26]Ruomei Yan, Ling Shao, Yan Liu:
Nonlocal Hierarchical Dictionary Learning Using Wavelets for Image Denoising. IEEE Trans. Image Process. 22(12): 4689-4698 (2013) - [c52]Jun Tang, Ling Shao, Xiantong Zhen:
Human Action Retrieval via efficient feature matching. AVSS 2013: 306-311 - [c51]Ruomei Yan, Ling Shao:
Image Blur Classification and Parameter Identification Using Two-stage Deep Belief Networks. BMVC 2013 - [c50]Fan Zhu, Ling Shao:
Enhancing Action Recognition by Cross-Domain Dictionary Learning. BMVC 2013 - [c49]Simon Jones, Ling Shao:
Rapid Localisation and Retrieval of Human Actions with Relevance Feedback. CAIP (1) 2013: 20-27 - [c48]Li Liu, Ling Shao:
Synthesis of spatio-temporal descriptors for dynamic hand gesture recognition using genetic programming. FG 2013: 1-7 - [c47]Xiantong Zhen, Ling Shao:
Spatio-temporal steerable pyramid for human action recognition. FG 2013: 1-6 - [c46]Qingsong Zhu, Ling Shao, Qi Li, Yaoqin Xie:
Recursive Kernel Density Estimation for modeling the background and segmenting moving objects. ICASSP 2013: 1769-1772 - [c45]Qingsong Zhu, Ling Shao, Zhan Song, Yaoqin Xie:
SUPERCUT: An accurate and effective interactive image segmentation algorithm. ICIP 2013: 4269-4272 - [c44]Qingsong Zhu, Ricang Ye, Ling Shao, Qi Li, Yaoqin Xie:
A novel thin elongated objects segmentation based on fuzzy connectedness and GMM learning. ICIP 2013: 4273-4276 - [c43]Li Liu, Ling Shao:
Learning Discriminative Representations from RGB-D Video Data. IJCAI 2013: 1493-1500 - [c42]Li Liu, Ling Shao, Xuelong Li:
Building holistic descriptors for scene recognition: a multi-objective genetic programming approach. ACM Multimedia 2013: 997-1006 - [c41]Jiebo Luo, Caifeng Shan, Ling Shao, Minoru Etoh:
The third ACM international workshop on interactive multimedia on mobile and portable devices (IMMPD'13). ACM Multimedia 2013: 1097-1098 - [c40]Qingsong Zhu, Ling Shao, Qi Li, Yaoqin Xie:
Perfect Snapping. MMM (2) 2013: 79-87 - [c39]Qingsong Zhu, Ling Shao, Pheng-Ann Heng, Xuelong Li:
A novel rain detection and removal approach using guided filtering and formation modeling. ROBIO 2013: 563-567 - [c38]Qingsong Zhu, Pheng-Ann Heng, Ling Shao, Xuelong Li:
What's the Role of Image Matting in Image Segmentation? ROBIO 2013: 1695-1698 - [c37]Qingsong Zhu, Pheng-Ann Heng, Ling Shao, Xuelong Li:
A novel segmentation guided approach for single image dehazing. ROBIO 2013: 2414-2417 - [e4]Jiebo Luo, Caifeng Shan, Ling Shao, Minoru Etoh:
Proceedings of the 3rd ACM international workshop on Interactive multimedia on mobile & portable devices, IMMPD@ACM Multimedia 2013, Barcelona, Spain, October 22, 2013. ACM 2013, ISBN 978-1-4503-2399-4 [contents] - 2012
- [j25]Amin Ur Rehman, Ling Shao:
Classification-based de-mosaicing for digital cameras. Neurocomputing 83: 222-228 (2012) - [j24]Richang Hong, Ling Shao:
Learning from social media network. Neurocomputing 95: 1-2 (2012) - [j23]Ling Shao, Qi Tian, Alberto Del Bimbo, Changsheng Xu:
Intelligent multimedia interactivity. Pattern Recognit. Lett. 33(4): 371-372 (2012) - [j22]Ling Shao, Ling Ji, Yan Liu, Jianguo Zhang:
Human action segmentation and recognition via motion and shape analysis. Pattern Recognit. Lett. 33(4): 438-445 (2012) - [j21]Simon Jones, Ling Shao, Jianguo Zhang, Yan Liu:
Relevance feedback for real-world human action retrieval. Pattern Recognit. Lett. 33(4): 446-452 (2012) - [c36]Hui Zhang, Ling Shao, Kwan-Yee Kenneth Wong:
Self-calibration and Motion Recovery from Silhouettes with Two Mirrors. ACCV (4) 2012: 1-12 - [c35]Li Liu, Ling Shao, Peter I. Rockett:
Genetic Programming-Evolved Spatio-Temporal Descriptor for Human Action Recognition. BMVC 2012: 1-12 - [c34]Di Wu, Fan Zhu, Ling Shao:
One shot learning gesture recognition from RGBD images. CVPR Workshops 2012: 7-12 - [c33]Lei Zhang, Xiantong Zhen, Ling Shao:
High order co-occurrence of visualwords for action recognition. ICIP 2012: 757-760 - [c32]Di Wu, Fan Zhu, Ling Shao, Hui Zhang:
One shot learning gesture recognition with Kinect sensor. ACM Multimedia 2012: 1303-1304 - [c31]Ling Shao, Caifeng Shan, Minoru Etoh:
The second ACM international workshop on interactive multimedia on mobile and Portable devices. ACM Multimedia 2012: 1523-1524 - [e3]Ling Shao, Caifeng Shan, Minoru Etoh:
Proceedings of the 2nd ACM international workshop on Interactive multimedia on mobile and portable devices, IMMPD@ACM Multimedia 2012, Nara, Japan, November 2, 2012. ACM 2012, ISBN 978-1-4503-1595-1 [contents] - 2011
- [j20]Ling Shao, Xiantong Zhen, Yan Liu, Ling Ji:
Human action representation using pyramid correlogram of oriented gradients on motion history images. Int. J. Comput. Math. 88(18): 3882-3895 (2011) - [j19]Feng Zheng, Ling Shao, Zhan Song, Xi Chen:
Action recognition using graph embedding and the co-occurrence matrices descriptor. Int. J. Comput. Math. 88(18): 3896-3914 (2011) - [j18]Ling Shao, Ruoyun Gao, Yan Liu, Hui Zhang:
Transform based spatio-temporal descriptors for human action recognition. Neurocomputing 74(6): 962-973 (2011) - [j17]Hanxuan Yang, Ling Shao, Feng Zheng, Liang Wang, Zhan Song:
Recent advances and trends in visual tracking: A review. Neurocomputing 74(18): 3823-3831 (2011) - [j16]Ling Shao, Jingnan Wang, Ihor O. Kirenko, Gerard de Haan:
Quality adaptive least squares trained filters for video compression artifacts removal using a no-reference block visibility metric. J. Vis. Commun. Image Represent. 22(1): 23-32 (2011) - [j15]Ling Shao, Jorge E. Caviedes, Kai-Kuang Ma, Erwin B. Bellers:
Video restoration and enhancement: algorithms and applications. Signal Image Video Process. 5(3): 269-270 (2011) - [j14]Ling Shao, Hui Zhang, Liang Wang, Lijun Wang:
Repairing imperfect video enhancement algorithms using classification-based trained filters. Signal Image Video Process. 5(3): 307-313 (2011) - [c30]Simon Jones, Ling Shao:
Action retrieval with relevance feedback on YouTube videos. ICIMCS 2011: 42-45 - [c29]Sheng-hua Zhong, Yan Liu, Ling Shao, Gangshan Wu:
Unsupervised saliency detection based on 2D Gabor and Curvelets transforms. ICIMCS 2011: 146-149 - [c28]Ling Shao, Di Wu, Xiuli Chen:
Action recognition using Correlogram of Body Poses and spectral regression. ICIP 2011: 209-212 - [c27]Sheng-hua Zhong, Yan Liu, Ling Shao, Korris Fu-Lai Chung:
Water reflection recognition via minimizing reflection cost based on motion blur invariant moments. ICMR 2011: 5 - [c26]Jiebo Luo, Caifeng Shan, Ling Shao, Minoru Etoh:
ACM international workshop on interactive multimedia on mobile and portable devices (IMMPD'11). ACM Multimedia 2011: 623-624 - [c25]Ling Shao, Hui Zhang, Yan Liu:
A Generalized Coding Artifacts and Noise Removal Algorithm for Digitally Compressed Video Signals. MMM (1) 2011: 1-9 - [p2]Riccardo Mattivi, Ling Shao:
Spatio-temporal Dynamic Texture Descriptors for Human Motion Recognition. Intelligent Video Event Analysis and Understanding 2011: 69-91 - [p1]Riccardo Mattivi, Ling Shao:
Robust Spatio-Temporal Features for Human Action Recognition. Multimedia Analysis, Processing and Communications 2011: 351-367 - [e2]Jiebo Luo, Caifeng Shan, Ling Shao, Minoru Etoh:
Proceedings of the 2011 international ACM workshop on Interactive multimedia on mobile and portable devices, IMMPD@ACM Multimedia 2011, Scottsdale, AZ, USA, November 29, 2011. ACM 2011, ISBN 978-1-4503-0995-0 [contents] - [i2]Ruoyun Gao, Michael S. Lew, Ling Shao:
Dynamic Feature Description in Human Action Recognition. CoRR abs/1101.0234 (2011) - [i1]Lijun Wang, Ling Shao:
An Algorithm for Repairing Low-Quality Video Enhancement Techniques Based on Trained Filter. CoRR abs/1103.0540 (2011) - 2010
- [j13]Igor Djurovic, Ljubisa Stankovic, Markus Rupp, Ling Shao:
Robust Processing of Nonstationary Signals. EURASIP J. Adv. Signal Process. 2010 (2010) - [j12]Ling Shao, Hui Zhang, Kwan-Yee Kenneth Wong, Jiebo Luo:
Fast and Robust Methods for Multiple-View Vision. EURASIP J. Image Video Process. 2010 (2010) - [j11]Jungong Han, Ling Shao, Peter H. N. de With, Ling Guan:
Video Analysis, Abstraction, and Retrieval: Techniques and Applications. Int. J. Digit. Multim. Broadcast. 2010: 348914:1-348914:2 (2010) - [c24]Ling Shao, Xiuli Chen:
Histogram of Body Poses and Spectral Regression Discriminant Analysis for Human Action Categorization. BMVC 2010: 1-11 - [c23]Ling Shao, Ruoyun Gao:
A Wavelet Based Local Descriptor for Human Action Recognition. BMVC 2010: 1-10 - [c22]Feng Zheng, Ling Shao, Zhan Song:
Eigen-space learning using semi-supervised diffusion maps for human action recognition. CIVR 2010: 151-157 - [c21]Ling Shao, Ling Ji:
A descriptor combining MHI and PCOG for human motion classification. CIVR 2010: 236-242 - [c20]Feng Zheng, Ling Shao, Zhan Song:
A set of co-occurrence matrices on the intrinsic manifold of human silhouettes for action recognition. CIVR 2010: 454-461 - [c19]Ling Shao, Riccardo Mattivi:
Feature detector and descriptor evaluation in human action recognition. CIVR 2010: 477-484 - [c18]Changsheng Li, Ling Shao, Changsheng Xu, Hanqing Lu:
Feature selection under learning to rank model for multimedia retrieve. ICIMCS 2010: 69-72 - [c17]Ling Shao, Rui Jin:
Subspace learning for silhouette based human action recognition. VCIP 2010: 77441S - [e1]Jianguo Zhang, Ling Shao, Lei Zhang, Graeme A. Jones:
Intelligent Video Event Analysis and Understanding. Studies in Computational Intelligence 332, 2010, ISBN 978-3-642-17553-4 [contents]
2000 – 2009
- 2009
- [c16]Riccardo Mattivi, Ling Shao:
Human Action Recognition Using LBP-TOP as Sparse Spatio-Temporal Feature Descriptor. CAIP 2009: 740-747 - [c15]Ling Shao, Ling Ji:
Motion Histogram Analysis Based Key Frame Extraction for Human Action/Activity Representation. CRV 2009: 88-92 - [c14]Ling Shao:
An Efficient Local Invariant Region Detector for Image Retrieval. CRV 2009: 208-212 - [c13]Ling Shao, Ihor O. Kirenko, André Leitão, Piotr Mydlowski:
Motion-compensated techniques for enhancement of low-quality compressed videos. ICASSP 2009: 1349-1352 - [c12]Ling Shao, Caifeng Shan, Jiebo Luo, Minoru Etoh:
1st ACM international workshop on interactive multimedia for consumer electronics (IMCE'09). ACM Multimedia 2009: 1149-1150 - 2008
- [j10]Ling Shao:
Simultaneous coding artifact reduction and sharpness enhancement for block-based compressed images and videos. Signal Process. Image Commun. 23(6): 463-470 (2008) - [j9]Ling Shao, Hui Zhang, Gerard de Haan:
An Overview and Performance Evaluation of Classification-Based Least Squares Trained Filters. IEEE Trans. Image Process. 17(10): 1772-1782 (2008) - [c11]Hui Zhang, Ling Shao, Kwan-Yee Kenneth Wong:
Motion Recovery for Uncalibrated Turntable Sequences Using Silhouettes and a Single Point. ACIVS 2008: 796-807 - [c10]Ling Shao, Jingnan Wang, Ihor O. Kirenko, Gerard de Haan:
Quality adaptive trained filters for compression artifacts removal. ICASSP 2008: 897-900 - [c9]Ihor O. Kirenko, Ling Shao, Remco Muijs, Adrian Nakonechny:
Enhancement of compressed video signals using a local blockiness metric. ICASSP 2008: 1397-1400 - 2007
- [b1]Ling Shao:
Invariant salient regions based image retrieval. University of Oxford, UK, 2007 - [j8]Ling Shao:
Unified compression artifacts removal based on adaptive learning on activity measure. Digit. Signal Process. 17(6): 1065-1070 (2007) - [j7]Ling Shao:
Adaptive Resolution Upconversion for Compressed Video Using Pixel Classification. EURASIP J. Adv. Signal Process. 2007 (2007) - [j6]Ling Shao, Timor Kadir, Michael Brady:
Geometric and photometric invariant distinctive regions detection. Inf. Sci. 177(4): 1088-1122 (2007) - [j5]Ling Shao:
Partial Volume Compensated Reconstruction of Three-dimensional Mass Shapes in Mammographic Images. J. Digit. Imaging 20(2): 191-195 (2007) - [j4]Ling Shao, Ihor O. Kirenko:
Coding Artifact Reduction Based on Local Entropy Analysis. IEEE Trans. Consumer Electron. 53(2): 691-696 (2007) - [j3]Ihor O. Kirenko, René J. van der Vleuten, Ling Shao:
Optimizing Scalable Video Compression for Efficient Implementation on a VLIW Media Processor. IEEE Trans. Multim. 9(2): 429-434 (2007) - [c8]Ihor O. Kirenko, Ling Shao:
Adaptive Repair of Compressed Video Signals using Local Objective Metrics of Blocking Artifacts. ICIP (4) 2007: 393-396 - [c7]Ling Shao, Hao Hu, Gerard de Haan:
Coding Artifacts Robust Resolution Up-conversion. ICIP (5) 2007: 409-412 - [c6]Ling Shao, Harm van der Heijden:
Integrated Image Enhancement and Artifacts Reduction Based on Frequency Bands Manipulation. ICME 2007: 292-295 - [c5]Ling Shao, Meng Zhao:
Order Statistic Filters for Image Interpolation. ICME 2007: 452-455 - [c4]Ihor O. Kirenko, Ling Shao:
Local Objective Metrics of Blocking Artifacts Visibility for Adaptive Repair of Compressed Video Signals. ICME 2007: 1303-1306 - 2006
- [j2]Ling Shao, Michael Brady:
Invariant salient regions based image retrieval under viewpoint and illumination variations. J. Vis. Commun. Image Represent. 17(6): 1256-1272 (2006) - [j1]Ling Shao, Michael Brady:
Specific object retrieval based on salient regions. Pattern Recognit. 39(10): 1932-1948 (2006) - [c3]Ling Shao, Ihor O. Kirenko, Ping Li:
Feature classification based on local information. EUSIPCO 2006: 1-4 - [c2]Ihor O. Kirenko, Remco Muijs, Ling Shao:
Coding Artifact Reduction using Non-Reference Block Grid Visibility Measure. ICME 2006: 469-472 - 2004
- [c1]Ling Shao, Michael Brady:
Three-Dimensional Mass Reconstruction in Mammography. ECCV Workshops CVAMIA and MMBIA 2004: 246-256
Coauthor Index
Yingjun Du
aka: Ying-Jun Du
aka: Ying-Jun Du
[j381] [j374] [j373] [j367] [j337] [j311] [j276] [j246] [j238] [j199] [j196] [j195] [j179] [i58] [j167] [j164] [j163] [j160] [j156] [j151] [j144] [j139] [c124] [c113] [i20] [j131] [j130] [j124] [j119] [j117] [c102] [c95] [c94] [i13] [i7] [j81] [j80] [j77] [j75] [j69] [j58] [j55] [j52] [j51] [j29] [j28] [j11]
[j357] [j353] [j343] [j318] [j315] [i202] [j291] [j286] [j270] [c279] [c267] [c266] [c251] [c248] [c247] [i193] [i190] [i189] [i144] [i133] [j250] [c231] [c227] [c220] [c216] [c214] [c211] [c203] [c202] [i111] [i102] [i101] [i100] [i99] [i76] [i69] [i63] [i62] [c178] [c175] [c173] [c172] [c171] [c165] [c164] [c162] [c161] [c159] [c155] [c152] [c147] [c145] [c129] [i56] [i51] [i50] [i47] [i45] [i33] [i32] [i30] [i29] [i25] [i24] [i17]
[j351] [j348] [j331] [j316] [j311] [j295] [j285] [j284] [j277] [j254] [j252] [j251] [c273] [c272] [i180] [i168] [i167] [j234] [j233] [j232] [j222] [j221] [j220] [j215] [j208] [j207] [c225] [c224] [c222] [c221] [c210] [c205] [c200] [c199] [c196] [c194] [c186] [i108] [i107] [i97] [i94] [i90] [i86] [i81] [i71] [i70] [j203] [j202] [j201] [j194] [j186] [j182] [j179] [j177] [j175] [c176] [c174] [c169] [c166] [c163] [c157] [c144] [c143] [c140] [c134] [c131] [c130] [i52] [i48] [i42] [i41] [i40] [i34] [i31] [i26] [j161] [j160] [j150] [j147] [j146] [j143] [j137] [c127] [c124] [c123] [c120] [c117] [c116] [c115] [c114] [c112] [i23] [i20] [i19] [j135] [j134] [j133] [j130] [j124] [j120] [j119] [j112] [c109] [c107] [c106] [c105] [c104] [c102] [c101] [c99] [c97] [c95] [c89] [i14] [i13] [i8] [j107] [j99] [j97] [j95] [j92] [j90] [j79] [c88] [c87] [i6] [i5] [j78] [j73] [j68] [c79] [c78] [c77] [c74] [i4] [i3] [j49] [j47] [j41] [c58] [j35] [j32] [j27] [c48] [c43] [c42] [c35]
[j362] [j359] [j350] [j322] [i222] [j317] [j306] [j304] [j300] [c294] [c289] [i212] [i197] [j289] [j281] [j280] [j272] [j271] [j259] [j255] [c266] [c256] [c247] [i139] [j231] [j228] [j227] [j226] [j223] [j214] [j213] [c226] [c219] [c217] [c215] [c208] [c206] [c191] [c190] [i117] [i116] [i115] [i114] [i113] [i112] [i110] [i106] [i103] [i88] [i87] [i83] [i82] [i77] [i75] [i63] [j188] [j187] [j185] [j174] [j173] [c177] [c170] [c168] [c158] [c156] [c153] [c151] [c149] [c146] [c138] [c137] [c136] [c135] [c133] [i61] [i60] [i59] [i53] [i43] [i39] [i38] [i36] [j159] [j158] [j153] [j152] [j148] [j140] [j136] [c121] [j129] [j125] [j115] [j114] [i15] [j93] [j91] [j86] [j85] [j84] [j83] [j65] [j64] [j63]
Cees Snoek
aka: Cees G. M. Snoek
aka: Cees G. M. Snoek
Philip Torr 0001
aka: Philip H. S. Torr
aka: Philip H. S. Torr
[j382] [j379] [j371] [j341] [j330] [j319] [j305] [c287] [c286] [i210] [j290] [j253] [c254] [c246] [c244] [c243] [c241] [c239] [c234] [c232] [i182] [i164] [i163] [i161] [i143] [i142] [i132] [i125] [i124] [i121] [i119] [j235] [j217] [c209] [c195] [c183] [i89] [i84] [i78] [i67] [j183] [c167] [c150] [c148] [i57] [j113] [j103] [j102] [j98] [j53] [j50] [j44] [j42] [c69] [c57] [j37] [j33] [j30] [j27] [c52] [c47] [c33] [j20]
[j351] [j348] [j316] [j295] [j252] [j251] [c273] [c272] [i180] [i168] [i167] [j234] [j233] [j222] [j221] [j220] [j215] [j208] [j207] [c225] [c224] [c222] [c221] [c210] [c205] [c200] [c199] [c196] [c194] [c186] [i108] [i107] [i97] [i94] [i90] [i86] [i81] [i71] [i70] [c178] [c176] [c174] [c169] [c166] [c163] [c157] [c150] [c148] [c144] [c143] [c140] [c134] [c131] [c130] [i52] [i48] [i47] [i42] [i41] [i40] [i34] [i31] [i26] [j165] [j155] [c123] [c116] [c115] [c114] [c112] [i19] [j121] [j111] [j110] [j101] [c84] [j61] [j59] [c66] [c65] [c61] [c56] [j34] [c50] [c34] [c32]
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