default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZehuan Yuan
Person information
Other persons with a similar name
SPARQL queries 
🛈 Please note that only 71% of the records listed on this page have a DOI. Therefore, DOI-based queries can only provide partial results.
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c45]Junyi Chen, Longteng Guo, Jia Sun, Shuai Shao, Zehuan Yuan, Liang Lin, Dongyu Zhang:
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE. AAAI 2024: 1110-1119- [c44]Junfeng Wu, Yi Jiang, Qihao Liu, Zehuan Yuan, Xiang Bai, Song Bai:
General Object Foundation Model for Images and Videos at Scale. CVPR 2024: 3783-3795 - [c43]Chuang Lin, Yi Jiang, Lizhen Qu, Zehuan Yuan, Jianfei Cai:
Generative Region-Language Pretraining for Open-Ended Object Detection. CVPR 2024: 13958-13968 - [c42]Chuofan Ma, Yi Jiang, Jiannan Wu, Zehuan Yuan, Xiaojuan Qi:
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models. ECCV (6) 2024: 417-435 - [c41]Bin Liu, Yuchen Luo, Shaofeng Zhang, Zehuan Yuan, Changdong Xu, Boan Chen, Junchi Yan:
View Crafting For Instance-Level Representation from Scene Images. ICASSP 2024: 5355-5359 - [i56]Chuang Lin, Yi Jiang, Lizhen Qu, Zehuan Yuan, Jianfei Cai:
Generative Region-Language Pretraining for Open-Ended Object Detection. CoRR abs/2403.10191 (2024) - [i55]Keyu Tian, Yi Jiang, Zehuan Yuan, Bingyue Peng, Liwei Wang:
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction. CoRR abs/2404.02905 (2024) - [i54]Chuofan Ma, Yi Jiang, Jiannan Wu, Zehuan Yuan, Xiaojuan Qi:
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models. CoRR abs/2404.13013 (2024) - [i53]Peize Sun, Yi Jiang, Shoufa Chen, Shilong Zhang, Bingyue Peng, Ping Luo, Zehuan Yuan:
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation. CoRR abs/2406.06525 (2024) - [i52]Junke Wang, Yi Jiang, Zehuan Yuan, Bingyue Peng, Zuxuan Wu, Yu-Gang Jiang:
OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation. CoRR abs/2406.09399 (2024) - [i51]Junyi Chen, Lu Chi, Bingyue Peng, Zehuan Yuan:
HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling. CoRR abs/2409.12740 (2024) - [i50]Zijia Zhao, Longteng Guo, Tongtian Yue, Erdong Hu, Shuai Shao, Zehuan Yuan, Hua Huang, Jing Liu:
ChatSearch: a Dataset and a Generative Retrieval Model for General Conversational Image Retrieval. CoRR abs/2410.18715 (2024) - 2023
- [j6]Weihao Jiang
, Dongdong Yu, Zhaozhi Xie, Yaoyi Li, Zehuan Yuan, Hongtao Lu:
Trimap-guided feature mining and fusion network for natural image matting. Comput. Vis. Image Underst. 230: 103645 (2023) - [j5]Zhenchao Jin, Dongdong Yu, Zehuan Yuan, Lequan Yu:
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5988-6005 (2023) - [j4]Chuchu Han, Zhedong Zheng, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang:
DMRNet++: Learning Discriminative Features With Decoupled Networks and Enriched Pairs for One-Step Person Search. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7319-7337 (2023) - [j3]Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Zehuan Yuan, Ping Luo:
Sparse R-CNN: An End-to-End Framework for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15650-15664 (2023) - [c40]Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu:
Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-Commerce. CVPR 2023: 11060-11069 - [c39]Bin Yan, Yi Jiang, Jiannan Wu, Dong Wang, Ping Luo, Zehuan Yuan, Huchuan Lu:
Universal Instance Perception as Object Discovery and Retrieval. CVPR 2023: 15325-15336 - [c38]Li Xu, Mark He Huang, Xindi Shang, Zehuan Yuan, Ying Sun, Jun Liu:
Meta Compositional Referring Expression Segmentation. CVPR 2023: 19478-19487 - [c37]Tianjiao Li, Lin Geng Foo, Ping Hu, Xindi Shang, Hossein Rahmani, Zehuan Yuan, Jun Liu:
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training. CVPR 2023: 24027-24038 - [c36]Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo:
Segment Every Reference Object in Spatial and Temporal Spaces. ICCV 2023: 2538-2550 - [c35]Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo:
Exploring Transformers for Open-world Instance Segmentation. ICCV 2023: 6588-6598 - [c34]Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo:
EGC: Image Generation and Classification via a Diffusion Energy-Based Model. ICCV 2023: 22895-22905 - [c33]Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo:
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) 2023: 1788-1810 - [c32]Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan, Jianfei Cai:
Learning Object-Language Alignments for Open-Vocabulary Object Detection. ICLR 2023 - [c31]Keyu Tian, Yi Jiang, Qishuai Diao, Chen Lin, Liwei Wang, Zehuan Yuan:
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling. ICLR 2023 - [c30]Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Satoshi Tsutsui, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou:
Transformer-based Open-world Instance Segmentation with Cross-task Consistency Regularization. ACM Multimedia 2023: 2507-2515 - [c29]Chuofan Ma, Yi Jiang, Xin Wen, Zehuan Yuan, Xiaojuan Qi:
CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection. NeurIPS 2023 - [c28]Zijia Zhao, Longteng Guo, Xingjian He, Shuai Shao, Zehuan Yuan, Jing Liu:
MAMO: Fine-Grained Vision-Language Representations Learning with Masked Multimodal Modeling. SIGIR 2023: 1528-1538 - [i49]Keyu Tian, Yi Jiang, Qishuai Diao, Chen Lin, Liwei Wang, Zehuan Yuan:
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling. CoRR abs/2301.03580 (2023) - [i48]Bin Yan, Yi Jiang, Jiannan Wu, Dong Wang, Ping Luo, Zehuan Yuan, Huchuan Lu:
Universal Instance Perception as Object Discovery and Retrieval. CoRR abs/2303.06674 (2023) - [i47]Qiushan Guo, Yizhou Yu, Yi Jiang, Jiannan Wu, Zehuan Yuan, Ping Luo:
Multi-Level Contrastive Learning for Dense Prediction Task. CoRR abs/2304.02010 (2023) - [i46]Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo:
EGC: Image Generation and Classification via a Diffusion Energy-Based Model. CoRR abs/2304.02012 (2023) - [i45]Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu:
Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-commerce. CoRR abs/2304.02853 (2023) - [i44]Tianjiao Li, Lin Geng Foo, Ping Hu, Xindi Shang, Hossein Rahmani, Zehuan Yuan, Jun Liu:
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training. CoRR abs/2304.04175 (2023) - [i43]Li Xu, Mark He Huang, Xindi Shang, Zehuan Yuan, Ying Sun, Jun Liu:
Meta Compositional Referring Expression Segmentation. CoRR abs/2304.04415 (2023) - [i42]Zijia Zhao, Longteng Guo, Tongtian Yue, Sihan Chen, Shuai Shao, Xinxin Zhu, Zehuan Yuan, Jing Liu:
ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst. CoRR abs/2305.16103 (2023) - [i41]Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo:
Exploring Transformers for Open-world Instance Segmentation. CoRR abs/2308.04206 (2023) - [i40]Junyi Chen, Longteng Guo, Jia Sun, Shuai Shao, Zehuan Yuan, Liang Lin, Dongyu Zhang:
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE. CoRR abs/2308.11971 (2023) - [i39]Chuofan Ma, Yi Jiang, Xin Wen, Zehuan Yuan, Xiaojuan Qi:
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection. CoRR abs/2310.16667 (2023) - [i38]Haosen Yang, Chuofan Ma, Bin Wen, Yi Jiang, Zehuan Yuan, Xiatian Zhu:
Recognize Any Regions. CoRR abs/2311.01373 (2023) - [i37]Junfeng Wu, Yi Jiang, Qihao Liu, Zehuan Yuan, Xiang Bai, Song Bai:
General Object Foundation Model for Images and Videos at Scale. CoRR abs/2312.09158 (2023) - [i36]Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo:
UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces. CoRR abs/2312.15715 (2023) - 2022
- [j2]Bo Yuan, Danpei Zhao, Shuai Shao, Zehuan Yuan, Changhu Wang:
Birds of a Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation. IEEE Trans. Image Process. 31: 2878-2892 (2022) - [j1]Guanghao Yin, Wei Wang, Zehuan Yuan, Wei Ji, Dongdong Yu, Shouqian Sun, Tat-Seng Chua, Changhu Wang:
Conditional Hyper-Network for Blind Super-Resolution With Multiple Degradations. IEEE Trans. Image Process. 31: 3949-3960 (2022) - [c27]Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, Changhu Wang:
Content-Variant Reference Image Quality Assessment via Knowledge Distillation. AAAI 2022: 3134-3142 - [c26]Zhendong Yang, Zhe Li, Xiaohu Jiang, Yuan Gong, Zehuan Yuan, Danpei Zhao, Chun Yuan:
Focal and Global Knowledge Distillation for Detectors. CVPR 2022: 4633-4642 - [c25]Jiannan Wu, Yi Jiang, Peize Sun, Zehuan Yuan, Ping Luo:
Language as Queries for Referring Video Object Segmentation. CVPR 2022: 4964-4974 - [c24]Peize Sun, Jinkun Cao, Yi Jiang, Zehuan Yuan, Song Bai, Kris Kitani, Ping Luo:
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion. CVPR 2022: 20961-20970 - [c23]Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang:
ByteTrack: Multi-object Tracking by Associating Every Detection Box. ECCV (22) 2022: 1-21 - [c22]Zhendong Yang, Zhe Li, Mingqi Shao, Dachuan Shi, Zehuan Yuan, Chun Yuan:
Masked Generative Distillation. ECCV (11) 2022: 53-69 - [c21]Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu:
You Should Look at All Objects. ECCV (9) 2022: 332-349 - [c20]Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan:
Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation. ECCV (36) 2022: 380-397 - [c19]Bin Yan, Yi Jiang, Peize Sun, Dong Wang, Zehuan Yuan, Ping Luo, Huchuan Lu:
Towards Grand Unification of Object Tracking. ECCV (21) 2022: 733-751 - [c18]Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu:
Objects in Semantic Topology. ICLR 2022 - [c17]Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu:
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding. NeurIPS 2022 - [c16]Chuofan Ma, Qiushan Guo, Yi Jiang, Ping Luo, Zehuan Yuan, Xiaojuan Qi:
Rethinking Resolution in the Context of Efficient Video Recognition. NeurIPS 2022 - [c15]Yabo Xiao, Kai Su, Xiaojuan Wang, Dongdong Yu, Lei Jin, Mingshu He, Zehuan Yuan:
QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query. NeurIPS 2022 - [i35]Jiannan Wu, Yi Jiang, Peize Sun, Zehuan Yuan, Ping Luo:
Language as Queries for Referring Video Object Segmentation. CoRR abs/2201.00487 (2022) - [i34]Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, Changhu Wang:
Content-Variant Reference Image Quality Assessment via Knowledge Distillation. CoRR abs/2202.13123 (2022) - [i33]Qishuai Diao, Yi Jiang, Bin Wen, Jia Sun, Zehuan Yuan:
MetaFormer: A Unified Meta Framework for Fine-Grained Recognition. CoRR abs/2203.02751 (2022) - [i32]Bo Yuan, Danpei Zhao, Shuai Shao, Zehuan Yuan, Changhu Wang:
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation. CoRR abs/2204.02111 (2022) - [i31]Zhendong Yang, Zhe Li, Mingqi Shao, Dachuan Shi, Zehuan Yuan, Chun Yuan:
Masked Generative Distillation. CoRR abs/2205.01529 (2022) - [i30]Bin Yan, Yi Jiang, Peize Sun, Dong Wang, Zehuan Yuan, Ping Luo, Huchuan Lu:
Towards Grand Unification of Object Tracking. CoRR abs/2207.07078 (2022) - [i29]Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu:
You Should Look at All Objects. CoRR abs/2207.07889 (2022) - [i28]Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou:
Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization. CoRR abs/2208.09023 (2022) - [i27]Zhenchao Jin, Dongdong Yu, Zehuan Yuan, Lequan Yu:
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation. CoRR abs/2209.04471 (2022) - [i26]Chuofan Ma, Qiushan Guo, Yi Jiang, Zehuan Yuan, Ping Luo, Xiaojuan Qi:
Rethinking Resolution in the Context of Efficient Video Recognition. CoRR abs/2209.12797 (2022) - [i25]Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu:
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding. CoRR abs/2209.13306 (2022) - [i24]Hao Wang, Guosheng Lin, Ana Garcia del Molino, Anran Wang, Zehuan Yuan, Chunyan Miao, Jiashi Feng:
ManiCLIP: Multi-Attribute Face Manipulation from Text. CoRR abs/2210.00445 (2022) - [i23]Haosen Yang, Deng Huang, Bin Wen, Jiannan Wu, Hongxun Yao, Yi Jiang, Xiatian Zhu, Zehuan Yuan:
Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders. CoRR abs/2210.04154 (2022) - [i22]Zijia Zhao, Longteng Guo, Xingjian He, Shuai Shao, Zehuan Yuan, Jing Liu:
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning. CoRR abs/2210.04183 (2022) - [i21]Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan, Jianfei Cai:
Learning Object-Language Alignments for Open-Vocabulary Object Detection. CoRR abs/2211.14843 (2022) - [i20]Yabo Xiao, Kai Su, Xiaojuan Wang, Dongdong Yu, Lei Jin, Mingshu He, Zehuan Yuan:
QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query. CoRR abs/2212.07855 (2022) - 2021
- [c14]Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. AAAI 2021: 7746-7753 - [c13]Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo:
Sparse R-CNN: End-to-End Object Detection With Learnable Proposals. CVPR 2021: 14454-14463 - [c12]Wei Wang, Haochen Zhang, Zehuan Yuan, Changhu Wang:
Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective. ICCV 2021: 4298-4307 - [c11]Chuang Lin, Zehuan Yuan, Sicheng Zhao, Peize Sun, Changhu Wang, Jianfei Cai:
Domain-Invariant Disentangled Network for Generalizable Object Detection. ICCV 2021: 8751-8760 - [c10]Chuchu Han, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang, Changhu Wang:
Weakly Supervised Person Search with Region Siamese Networks. ICCV 2021: 11986-11995 - [c9]Bingyi Kang, Yu Li, Sa Xie, Zehuan Yuan, Jiashi Feng:
Exploring Balanced Feature Spaces for Representation Learning. ICLR 2021 - [c8]Peize Sun, Yi Jiang, Enze Xie, Wenqi Shao, Zehuan Yuan, Changhu Wang, Ping Luo:
What Makes for End-to-End Object Detection? ICML 2021: 9934-9944 - [c7]Xindi Shang, Zehuan Yuan, Anran Wang, Changhu Wang:
Multimodal Video Summarization via Time-Aware Transformers. ACM Multimedia 2021: 1756-1765 - [c6]Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu:
Disentangled Contrastive Learning on Graphs. NeurIPS 2021: 21872-21884 - [i19]Guanghao Yin, Wei Wang, Zehuan Yuan, Dongdong Yu, Shouqian Sun, Changhu Wang:
Conditional Meta-Network for Blind Super-Resolution with Multiple Degradations. CoRR abs/2104.03926 (2021) - [i18]Lu Yang, Yunlong Wang, Lingqiao Liu, Peng Wang, Lu Chi, Zehuan Yuan, Changhu Wang, Yanning Zhang:
Center Prediction Loss for Re-identification. CoRR abs/2104.14746 (2021) - [i17]Zhenchao Jin, Dongdong Yu, Kai Su, Zehuan Yuan, Changhu Wang:
Memory Based Video Scene Parsing. CoRR abs/2109.00373 (2021) - [i16]Chuchu Han, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang, Changhu Wang:
Weakly Supervised Person Search with Region Siamese Networks. CoRR abs/2109.06109 (2021) - [i15]Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu:
Objects in Semantic Topology. CoRR abs/2110.02687 (2021) - [i14]Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang:
ByteTrack: Multi-Object Tracking by Associating Every Detection Box. CoRR abs/2110.06864 (2021) - [i13]Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan:
Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation. CoRR abs/2111.05759 (2021) - [i12]Zhendong Yang, Zhe Li, Xiaohu Jiang, Yuan Gong, Zehuan Yuan, Danpei Zhao, Chun Yuan:
Focal and Global Knowledge Distillation for Detectors. CoRR abs/2111.11837 (2021) - [i11]Peize Sun, Jinkun Cao, Yi Jiang, Zehuan Yuan, Song Bai, Kris Kitani, Ping Luo:
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion. CoRR abs/2111.14690 (2021) - [i10]Weihao Jiang, Dongdong Yu, Zhaozhi Xie, Yaoyi Li, Zehuan Yuan, Hongtao Lu:
Trimap-guided Feature Mining and Fusion Network for Natural Image Matting. CoRR abs/2112.00510 (2021) - 2020
- [c5]Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao:
Controllable Orthogonalization in Training DNNs. CVPR 2020: 6428-6437 - [c4]Lu Chi, Zehuan Yuan, Yadong Mu, Changhu Wang:
Non-Local Neural Networks With Grouped Bilinear Attentional Transforms. CVPR 2020: 11801-11810 - [c3]Wei Li, Zehuan Yuan, Xiangzhong Fang, Changhu Wang:
Moflowgan: Video Generation With Flow Guidance. ICME 2020: 1-6 - [i9]Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao:
Controllable Orthogonalization in Training DNNs. CoRR abs/2004.00917 (2020) - [i8]Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo:
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals. CoRR abs/2011.12450 (2020) - [i7]Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. CoRR abs/2012.05660 (2020) - [i6]Peize Sun, Yi Jiang, Enze Xie, Zehuan Yuan, Changhu Wang, Ping Luo:
OneNet: Towards End-to-End One-Stage Object Detection. CoRR abs/2012.05780 (2020) - [i5]Peize Sun, Yi Jiang, Rufeng Zhang, Enze Xie, Jinkun Cao, Xinting Hu, Tao Kong, Zehuan Yuan, Changhu Wang, Ping Luo:
TransTrack: Multiple-Object Tracking with Transformer. CoRR abs/2012.15460 (2020)
2010 – 2019
- 2019
- [i4]Wei Li, Zehuan Yuan, Dashan Guo, Lei Huang, Xiangzhong Fang, Changhu Wang:
Deformable Tube Network for Action Detection in Videos. CoRR abs/1907.01847 (2019) - [i3]Dongdong Yu, Zehuan Yuan, Jinlai Liu, Kun Yuan, Changhu Wang:
Towards Good Practices for Instance Segmentation. CoRR abs/1911.07939 (2019) - 2018
- [c2]Wei Li, Zehuan Yuan, Xiangzhong Fang, Changhu Wang:
Knowing Where to Look? Analysis on Attention of Visual Question Answering System. ECCV Workshops (4) 2018: 145-152 - [c1]Jinlai Liu, Zehuan Yuan, Changhu Wang:
Towards Good Practices for Multi-modal Fusion in Large-Scale Video Classification. ECCV Workshops (4) 2018: 287-296 - [i2]Jinlai Liu, Zehuan Yuan, Changhu Wang:
Towards Good Practices for Multi-modal Fusion in Large-scale Video Classification. CoRR abs/1809.05848 (2018) - [i1]Wei Li, Zehuan Yuan, Xiangzhong Fang, Changhu Wang:
Knowing Where to Look? Analysis on Attention of Visual Question Answering System. CoRR abs/1810.03821 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-28 20:34 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
