cvpr2019 reid

Oral:

1. Joint Discriminative and Generative Learning for Person Re-identification. Zhedong Zheng; Xiaodong Yang; Zhiding Yu; Liang Zheng ; Yi Yang ; Jan Kautz https://arxiv.org/abs/1904.07223 代碼：https://github.com/NVlabs/DG-Net   https://zhuanlan.zhihu.com/p/66408913

 

1. Unsupervised Person Re-identification by Soft Multilabel Learning. Hong-Xing Yu ; WEI-SHI ZHENG ; Ancong Wu ; Xiaowei Guo ; Shaogang Gong ; Jian-Huang Lai https://arxiv.org/abs/1903.06325     https://www.cnblogs.com/Thinker-pcw/p/10807681.html     https://blog.csdn.net/qq_30241709/article/details/88715790

 

 

1. Learning Context Graph for Person Search. Yichao Yan ; Qiang Zhang Bingbing Ni; Wendong Zhang ; Minghao Xu; Xiaokang Yang https://arxiv.org/abs/1904.01830
2. Progressive Pose Attention Transfer for Person Image Generation Zhen Zhu (Huazhong University of Science and Technology)*; Tengteng Huang (Huazhong University of Science and Technology); Baoguang Shi (Microsoft); Miao Yu (Huazhong University of Science and Technology); Bofei Wang (ZTE Corporation); Xiang Bai (Huazhong University of Science and Technology) https://arxiv.org/abs/1904.03349

 

Poster:

1. Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification Yifan Sun (Tsinghua University); Ya-Li Li (THU); Qin Xu (Tsinghua University); Chi Zhang (Megvii Inc.); Yikang Li (CUHK); Shengjin Wang (Tsinghua University)*; Jian Sun (Megvii Technology) https://arxiv.org/abs/1904.00537
2. Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification Zhun Zhong (Xiamen University)*; Liang Zheng (Australian National University); Zhiming Luo (Xiamen University); Shaozi Li (Xiamen University, China); Yi Yang (UTS) https://arxiv.org/abs/1904.01990   https://blog.csdn.net/sinat_42239797/article/details/96425406?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.nonecase&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.nonecase
3. Dissecting Person Re-identification from the Viewpoint of Viewpoint Xiaoxiao Sun (Singapore University of Technology and Design)*; Liang Zheng (Australian National University) https://arxiv.org/abs/1812.02162
4. Densely Semantically Aligned Person Re-Identification Zhizheng Zhang (University of Science and Technology of China); Cuiling Lan (Microsoft Research)*; Wenjun Zeng (Microsoft Research); Zhibo Chen (University of Science and Technology of China) https://arxiv.org/abs/1812.08967
5. Generalizable Person Re-identification by Domain-Invariant Mapping Network Jifei Song (Queen Mary, University of London)*; Yongxin Yang (University of Edinburgh ); Yi-Zhe Song (Queen Mary University of London); Tao Xiang (University of Surrey); Timothy Hospedales (Edinburgh University) http://www.eecs.qmul.ac.uk/~js327/Doc/Publication/2019/cvpr2019_dimn.pdf
6. Re-ranking via Metric Fusion for Object Retrieval and Person Re-identification Song Bai (University of Oxford)*; Peng Tang (Huazhong University of Science and Technology); Longin Jan Latecki (Temple University); Philip Torr (University of Oxford) https://cis.temple.edu/~latecki/Papers/SongCVPR2019.pdf
7. Weakly Supervised Person Re-Identification Jingke Meng (Sun Yat-Sun University); Sheng Wu (Sen Yat-Sun University); WEI-SHI ZHENG (Sun Yat-sen University, China)* https://arxiv.org/abs/1904.03832
8. Query-guided End-to-End Person Search Bharti Munjal (OSRAM)*; Sikandar Amin (OSRAM GmbH); Federico Tombari (Technical University of Munich, Germany); Fabio Galasso (OSRAM)
9. Distilled Person Re-identification: Towards a More Scalable System Ancong Wu (Sun Yat-sen University); WEI-SHI ZHENG (Sun Yat-sen University, China)*; Xiaowei Guo (Tencent Youtu Lab); Jian-Huang Lai (Sun Yat-sen University) https://www.researchgate.net/publication/332267080_Distilled_Person_Re-identification_Towards_a_More_Scalable_System
10. Towards Rich Feature Discovery with Class Activation Maps Augmentation for Person Re-Identification Wenjie Yang (Institute of Automation, Chinese Academy of Sciences)*; Houjing Huang (CASIA); Zhang Zhang (Institute of Automation, Chinese Academy of Sciences); Xiaotang Chen (Institute of Automation, Chinese Academy of Sciences); Kaiqi Huang (Institute of Automation, Chinese Academy of Sciences); Shu Zhang (Deepwise AI Lab)
11. Patch Based Discriminative Feature Learning for Unsupervised Person Re-identification Qize Yang (Sun Yat-sen University); Hong-Xing Yu (Sun Yat-Sen University); Ancong Wu (Sun Yat-sen University); WEI-SHI ZHENG (Sun Yat-sen University, China)* https://kovenyu.com/publication/2019-cvpr-pedal/
12. Unsupervised Person Image Generation with Semantic Parsing Transformation Sijie Song (Peking University)*; Wei Zhang (JD AI Research); Jiaying Liu (Peking University); Tao Mei (AI Research JD) https://arxiv.org/abs/1904.03379
13. Text Guided Person Image Synthesis Xingran Zhou (Zhejiang University); Siyu Huang (Zhejiang University)*; Bin Li (Zhejiang University); Yingming Li (Zhejiang University); Jiachen Li (Nanjing University); Zhongfei Zhang (Zhejiang University) https://arxiv.org/abs/1904.05118
14. Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification Yiru Zhao (Shanghai Jiao Tong University)*; Xu Shen (Alibaba Group); Zhongming Jin (Alibaba Group); Hongtao Lu (Shanghai Jiao Tong University); Xiansheng Hua (Damo Academy, Alibaba Group)
15. AANet: Attribute Attentio Network for Person Re-Identification Chiat Pin Tay (Nanyang Technological University)*; Sharmili Roy (Nanyang Technological University); Kim Yap (Nanyang Technological University)
16. VRSTC: Occlusion-Free Video Person Re-Identification Ruibing Hou (Institute of Computing Technology，Chinese Academy); Bingpeng MA (UCAS)*; Hong Chang (Chinese Academy of Sciences); Xinqian Gu (University of Chinese Academy of Sciences); Shiguang Shan (Chinese Academy of Sciences); Xilin Chen (China)
17. Adaptive Transfer Network for Cross-Domain Person Re-Identification Jiawei Liu (University of Science and Technology of China); Zheng-Jun Zha (University of Science and Technology of China)*; Di Chen (University of Science and Technology of China); Richang Hong (HeFei University of Technology); Meng Wang (Hefei University of Technology)
18. Interaction-and-Aggregation Network for Person Re-identification Ruibing Hou (Institute of Computing Technology，Chinese Academy); Bingpeng MA (UCAS)*; Hong Chang (Chinese Academy of Sciences); Xinqian Gu (University of Chinese Academy of Sciences); Shiguang Shan (Chinese Academy of Sciences); Xilin Chen (China)
19. Re-Identification with Consistent Attentive Siamese Networks Meng Zheng (Rensselaer Polytechnic Institute); Srikrishna Karanam (Siemens Corporate Technology, Princeton)*; Ziyan Wu (Siemens Corporation); Richard Radke (Rensselaer Polytechnic Institute) https://arxiv.org/abs/1811.07487
20. Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training Feng Zheng (Southern University of Science and Technology)*; Rongrong Ji (Xiamen University, China); Cheng Deng (Xidian University); Xing Sun (Tencent); Xinyang Jiang (Tencent); Xiaowei Guo (Tencent Youtu Lab); Zongqiao Yu (Tencent); Feiyue Huang (Tencent)
21. CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification ZHENG TANG (University of Washington)*; Milind Naphade (NVidia); Ming-Yu Liu (NVIDIA); Xiaodong Yang (NVIDIA Research); Stan Birchfield (NVIDIA); Shuo Wang (NVidia); Ratnesh Kumar (NVIDIA); David Anastasiu (SJSU); Jenq-Neng Hwang (University of Washinton) https://arxiv.org/abs/1903.09254
22. Re-Identification Supervised 3D Texture Generation Jian Wang (State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences & University of Chinese Academy of Sciences)*; Yunshan Zhong (Peking University); Yachun Li (Zhejiang University); Chi Zhang (Megvii Inc.); Yichen Wei (Megvii Research Shanghai)