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Fengxiang Yang
Fengxiang Yang
Dirección de correo verificada de stu.xmu.edu.cn
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Learning to generalize unseen domains via memory-based multi-source meta-learning for person re-identification
Y Zhao, Z Zhong, F Yang, Z Luo, Y Lin, S Li, N Sebe
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
2262021
Asymmetric co-teaching for unsupervised cross-domain person re-identification
F Yang, K Li, Z Zhong, Z Luo, X Sun, H Cheng, X Guo, F Huang, R Ji, S Li
Proceedings of the AAAI conference on artificial intelligence 34 (07), 12597 …, 2020
1862020
Joint noise-tolerant learning and meta camera shift adaptation for unsupervised person re-identification
F Yang, Z Zhong, Z Luo, Y Cai, Y Lin, S Li, N Sebe
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1382021
Leveraging virtual and real person for unsupervised person re-identification
F Yang, Z Zhong, Z Luo, S Lian, S Li
IEEE Transactions on Multimedia 22 (9), 2444-2453, 2019
372019
Cross-modality earth mover’s distance for visible thermal person re-identification
Y Ling, Z Zhong, Z Luo, F Yang, D Cao, Y Lin, S Li, N Sebe
Proceedings of the AAAI conference on artificial intelligence 37 (2), 1631-1639, 2023
292023
Learning to attack real-world models for person re-identification via virtual-guided meta-learning
F Yang, Z Zhong, H Liu, Z Wang, Z Luo, S Li, N Sebe, S Satoh
Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3128-3135, 2021
212021
Towards robust person re-identification by defending against universal attackers
F Yang, J Weng, Z Zhong, H Liu, Z Wang, Z Luo, D Cao, S Li, S Satoh, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 5218-5235, 2022
172022
Federated and generalized person re-identification through domain and feature hallucinating
F Yang, Z Zhong, Z Luo, S Li, N Sebe
arXiv preprint arXiv:2203.02689, 2022
62022
Generalized Person Re-identification by Locating and Eliminating Domain-Sensitive Features
W Wang, F Yang, Z Luo, S Li
Proceedings of the Asian Conference on Computer Vision, 3258-3273, 2022
22022
Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification
F Yang, Z Zhong, Z Luo, Y He, S Li, N Sebe
Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 6477-6485, 2024
12024
Learning to Distinguish Samples for Generalized Category Discovery (Supplemental Material)
F Yang, N Pu, W Li, Z Luo11, S Li, N Sebe, Z Zhong13
Learning to Distinguish Samples for Generalized Category Discovery
F Yang, N Pu, W Li, Z Luo, S Li, N Sebe, Z Zhong
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