Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification. - Fengxiang Yang; Ke Li 015; Zhun Zhong; Zhiming Luo; Xing Sun 001; Hao Cheng 012; Xiaowei Guo; Feiyue Huang; Rongrong Ji; Shaozi Li (AAAI, 2020)

Leveraging Virtual and Real Person for Unsupervised Person Re-Identification. - Fengxiang Yang; Zhun Zhong; Zhiming Luo; Sheng Lian; Shaozi Li (IEEE Trans. Multim., 2020)

Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning. - Fengxiang Yang; Zhun Zhong; Hong Liu 009; Zheng Wang 007; Zhiming Luo; Shaozi Li; Nicu Sebe; Shin'ichi Satoh 001 (AAAI, 2021)

Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification. - Fengxiang Yang; Zhun Zhong; Zhiming Luo; Yuanzheng Cai; Yaojin Lin; Shaozi Li; Nicu Sebe (CVPR, 2021)

Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification. - Yuyang Zhao; Zhun Zhong; Fengxiang Yang; Zhiming Luo; Yaojin Lin; Shaozi Li; Nicu Sebe (CVPR, 2021)

Generalized Person Re-identification by Locating and Eliminating Domain-Sensitive Features. - Wendong Wang; Fengxiang Yang; Zhiming Luo; Shaozi Li (ACCV (6), 2022)

Federated and Generalized Person Re-identification through Domain and Feature Hallucinating. - Fengxiang Yang; Zhun Zhong; Zhiming Luo; Shaozi Li; Nicu Sebe (CoRR, 2022)

Cross-Modality Earth Mover's Distance for Visible Thermal Person Re-identification. - Yongguo Ling; Zhun Zhong; Zhiming Luo; Fengxiang Yang; Donglin Cao; Yaojin Lin; Shaozi Li; Nicu Sebe (AAAI, 2023)

Towards Robust Person Re-Identification by Defending Against Universal Attackers. - Fengxiang Yang; Juanjuan Weng; Zhun Zhong; Hong Liu 009; Zheng Wang 007; Zhiming Luo; Donglin Cao; Shaozi Li; Shin'ichi Satoh 001; Nicu Sebe (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification. - Fengxiang Yang; Zhun Zhong; Zhiming Luo; Yifan He 002; Shaozi Li; Nicu Sebe (AAAI, 2024)

Learning to Distinguish Samples for Generalized Category Discovery. - Fengxiang Yang; Nan Pu; Wenjing Li 005; Zhiming Luo; Shaozi Li; Nicu Sebe; Zhun Zhong (ECCV (65), 2024)