【CVPR2018正式公布】行人重識別論文

正式接收的論文名單

Oral：

1. Group Consistent Similarity Learning via Deep CRFs for Person Re-Identification Dapeng Chen, CUHK; Dan Xu, ; Hongsheng Li, ; Nicu Sebe, University of Trento, Italy; Xiaogang Wang, Chinese University of Hong Kong

Spotlight：

1. Person Transfer GAN to Bridge Domain Gap for Person Re-Identification， Longhui Wei, Peking University; Shiliang Zhang, Peking University; Wen Gao, ; Qi Tian [arXiv]
2. Disentangled Person Image Generation，Liqian Ma, KU Leuven; Qianru Sun, MPI for Informatics; Stamatios Georgoulis, KU Leuven; Mario Fritz, MPI, Saarbrucken, Germany; Bernt Schiele, MPI Informatics Germany; Luc Van Gool, KU Leuven [arXiv]
3. Unsupervised Person Image Synthesis in Arbitrary Poses, Albert Pumarola, IRI (CSIC-UPC); Antonio Agudo, IRI (CSIC-UPC); Alberto Sanfeliu, IRI (CSIC-UPC); Francesc Moreno-Noguer, Institut de Robotica i Informatica Industrial (UPC/CSIC)
4. Good Appearance Features for Multi-Target Multi-Camera Tracking, Ergys Ristani, Duke University; Carlo Tomasi, Duke University

Poster：

1. Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification， Shuang Li, The Chinese University of HK; Slawomir Bak, Disney Research; Peter Carr, Disney Research [arXiv]
2. A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking，M. Saquib Sarfraz, KIT; Arne Schumann, KIT; Andreas Eberle, KIT; Rainer Stiefelhagen, Karlsruhe Institute of Technology[arXiv]
3. Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification， Weijian Deng, University of Chinese Academy; Liang Zheng, University of Texas at San Ant; GUOLIANG KANG, UTS; Yi Yang, ; Qixiang Ye, ; Jianbin Jiao,[arXiv]
4. Human Semantic Parsing for Person Re-identification, Mahdi Kalayeh, UCF; Emrah Basaran, ; Mubarak Shah, UCF
5. Video Person Re-identification with Competitive Snippet-similarity Aggregation and Co-attentive Snippet Embedding Dapeng Chen, CUHK; Hongsheng Li, ; Tong Xiao, The Chinese University of HK; Shuai Yi, The Chinese University of Hong Kong; Xiaogang Wang, Chinese University of Hong Kong
6. Mask-guided Contrastive Attention Model for Person Re-Identification, Chunfeng Song, CASIA; Yan Huang, ; Wanli Ouyang, ; Liang Wang, unknown
7. Person Re-identification with Cascaded Pairwise Convolutions, Yicheng Wang, ; Zhenzhong Chen, Wuhan University; Feng Wu, ; Gang Wang,
8. Multi-Level Factorisation Net for Person Re-Identification, Xiaobin Chang, Queen Mary Univ. of London; Timothy Hospedales, University of Edinburgh; Tao Xiang, Queen Mary University of London[arXiv]
9. Attention-aware Compositional Network for Person Re-Identification, Jing Xu, SenseNets Technology Limited; Rui Zhao, SenseNets Technology Limited; Feng Zhu, SenseNets Technology Limited; Huaming Wang, SenseNets Technology Limited; Wanli Ouyang, The University of Sydney
10. Deep Group-shuffling Random Walk for Person Re-identification, Yantao Shen, CUHK; Hongsheng Li, ; Tong Xiao, The Chinese University of HK; Shuai Yi, The Chinese University of Hong Kong; Dapeng Chen, CUHK; Xiaogang Wang, Chinese University of Hong Kong
11. Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification, Jingya Wang, QMUL; Xiatian Zhu, Vision Semantics Ltd.; Shaogang Gong, Queen Mary University; Wei Li, Queen Mary University of Lond[arXiv]
12. Harmonious Attention Network for Person Re-Identification，Wei Li, Queen Mary University of Lond; Xiatian Zhu, Vision Semantics Ltd.; Shaogang Gong, Queen Mary University[arXiv]
13. Efficient and Deep Person Re-Identification using Multi-Level Similarity，Yiluan Guo, SUTD; Ngai-Man Cheung,[arXiv]
14. Pose Transferrable Person Re-Identification，Jinxian Liu, Shanghai Jiao Tong University; Yichao Yan, Shanghai Jiao Tong University; Bingbing Ni, ; Peng Zhou, Sjtu; Shuo Cheng, SJTU; jianguo Hu, Minivision
15. Adversarially Occluded Samples for Person Re-identification，Houjing Huang, CASIA; Dangwei Li, ; Zhang Zhang, ; Xiaotang Chen, ; Kaiqi Huang,
16. Camera Style Adaptation for Person Re-identification，Zhun Zhong, Xiamen University; Liang Zheng, SUTD; Zhedong Zheng, UTS; Shaozi Li, ; Yi Yang, University of Technology, Sydney[arXiv]
17. Exploit the Unknown Gradually:~ One-Shot Video-Based Person Re-Identification by Stepwise Learning，Yu Wu, University of technology sydne; Yutian Lin, ; Xuanyi Dong, UTS; Yan Yan, UTS; Wanli Ouyang, The University of Sydney; Yi Yang,
18. Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification，Jianlou Si, BUPT; Honggang Zhang, ; Chun-Guang Li, Beijing Univ. of Posts&Telecom; Jason Kuen, NTU, Singapore; Xiangfei Kong, Nanyang Technological University; Alex Kot, ; Gang Wang,[arXiv]
19. Easy Identification from Better Constraints: Multi-Shot Person Re-Identification from Reference Constraints，Jiahuan Zhou, Northwestern University; Bing Su, Chinese Academy of Sciences; Ying Wu, Northwestern University, USA
20. Eliminating Background-bias for Robust Person Re-identification，Maoqing Tian, Sensetime Limited; Shuai Yi, The Chinese University of Hong Kong; Hongsheng Li, ; Shihua Li, ; Xuesen Zhang, SenseTime; Jianping Shi, SenseTime; Junjie Yan, ; Xiaogang Wang, Chinese University of Hong Kong
21. End-to-End Deep Kronecker-Product Matching for Person Re-identification，Yantao Shen, CUHK; Tong Xiao, The Chinese University of HK; Hongsheng Li, ; Shuai Yi, The Chinese University of Hong Kong; Xiaogang Wang, Chinese University of Hong Kong
22. Exploiting Transitivity for Learning Person Re-identification Models on a Budget，Sourya Roy, UC Riverside ; Sujoy Paul, UC Riverside; Neal Young, UC Riverside ; Amit Roy-Chowdhury, UC Riverside
23. Deep Spatial Feature Reconstruction for Partial Person Re-identification，Lingxiao He, Institute of AutomationChines; Jian Liang, CASIA; Haiqing Li, ; Zhenan Sun, CRIPAC[arXiv]
24. Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-temporal Patterns，Jianming Lv, South China University of Technology; Weihang Chen, South China University of Technology; Qing Li, City University of Hong Kong; Can Yang, South China University of Technology[arXiv]
25. Resource Aware Person Re-identification across Multiple ResolutionsYan Wang, Cornell university; Lequn Wang, Cornell University; yurong you, shang hai jiao tong university; xu zou, tsinghua university; Vincent Chen, cornell university; Serena Li, CORNELL UNIVERSITY; Bharath Hariharan, Cornell University; Gao Huang, ; Kilian Weinberger, Cornell University
26. Multi-shot Pedestrian Re-identification via Sequential Decision Making， Jianfu Zhang, Shanghai Jiaotong University; Naiyan Wang, tusimple; Liqing Zhang, Shanghai Jiaotong University
27. Deep Mutual Learning Ying Zhang, QMUL; Tao Xiang, Queen Mary University of London; Timothy Hospedales, University of Edinburgh; Huchuan Lu, Dalian University of Technology

部分演算法在DukeMTMC-reID 效果排名：