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2020 – today
- 2022
[j3]Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang:
Learning Generalisable Omni-Scale Representations for Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5056-5069 (2022)- [j2]Zhongying Deng
, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang:
Dynamic Instance Domain Adaptation. IEEE Trans. Image Process. 31: 4585-4597 (2022) - [i23]Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang:
Dynamic Instance Domain Adaptation. CoRR abs/2203.05028 (2022) - [i22]Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu:
Conditional Prompt Learning for Vision-Language Models. CoRR abs/2203.05557 (2022) - [i21]Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy:
Open-Vocabulary DETR with Conditional Matching. CoRR abs/2203.11876 (2022) - [i20]Jingkang Yang, Kaiyang Zhou, Ziwei Liu:
Full-Spectrum Out-of-Distribution Detection. CoRR abs/2204.05306 (2022) - [i19]Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu:
Neural Prompt Search. CoRR abs/2206.04673 (2022) - [i18]Kaiyang Zhou, Adeline Paiement, Majid Mirmehdi:
Detecting Humans in RGB-D Data with CNNs. CoRR abs/2207.08064 (2022) - [i17]Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu:
Panoptic Scene Graph Generation. CoRR abs/2207.11247 (2022) - 2021
- [j1]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
Domain Adaptive Ensemble Learning. IEEE Trans. Image Process. 30: 8008-8018 (2021) - [c9]Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang:
Domain Attention Consistency for Multi-Source Domain Adaptation. BMVC 2021: 4 - [c8]Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li:
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration. ICCV 2021: 9282-9291 - [c7]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
Domain Generalization with MixStyle. ICLR 2021 - [i16]Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, Chen Change Loy:
Domain Generalization: A Survey. CoRR abs/2103.02503 (2021) - [i15]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
Domain Generalization with MixStyle. CoRR abs/2104.02008 (2021) - [i14]Kaiyang Zhou, Chen Change Loy, Ziwei Liu:
Semi-Supervised Domain Generalization with Stochastic StyleMatch. CoRR abs/2106.00592 (2021) - [i13]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
MixStyle Neural Networks for Domain Generalization and Adaptation. CoRR abs/2107.02053 (2021) - [i12]Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li:
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration. CoRR abs/2107.12628 (2021) - [i11]Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu:
Learning to Prompt for Vision-Language Models. CoRR abs/2109.01134 (2021) - [i10]Jingkang Yang, Kaiyang Zhou, Yixuan Li, Ziwei Liu:
Generalized Out-of-Distribution Detection: A Survey. CoRR abs/2110.11334 (2021) - [i9]Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang:
Domain Attention Consistency for Multi-Source Domain Adaptation. CoRR abs/2111.03911 (2021) - 2020
- [c6]Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Deep Domain-Adversarial Image Generation for Domain Generalisation. AAAI 2020: 13025-13032 - [c5]Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Learning to Generate Novel Domains for Domain Generalization. ECCV (16) 2020: 561-578 - [i8]Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Deep Domain-Adversarial Image Generation for Domain Generalisation. CoRR abs/2003.06054 (2020) - [i7]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
Domain Adaptive Ensemble Learning. CoRR abs/2003.07325 (2020) - [i6]Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Learning to Generate Novel Domains for Domain Generalization. CoRR abs/2007.03304 (2020)
2010 – 2019
- 2019
- [c4]Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang:
Omni-Scale Feature Learning for Person Re-Identification. ICCV 2019: 3701-3711 - [i5]Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang:
Omni-Scale Feature Learning for Person Re-Identification. CoRR abs/1905.00953 (2019) - [i4]Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang:
Learning Generalisable Omni-Scale Representations for Person Re-Identification. CoRR abs/1910.06827 (2019) - [i3]Kaiyang Zhou, Tao Xiang:
Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch. CoRR abs/1910.10093 (2019) - 2018
- [c3]Kaiyang Zhou, Yu Qiao, Tao Xiang:
Deep Reinforcement Learning for Unsupervised Video Summarization With Diversity-Representativeness Reward. AAAI 2018: 7582-7589 - [c2]Kaiyang Zhou, Tao Xiang, Andrea Cavallaro:
Video Summarisation by Classification with Deep Reinforcement Learning. BMVC 2018: 298 - [i2]Kaiyang Zhou, Yu Qiao:
Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward. CoRR abs/1801.00054 (2018) - [i1]Kaiyang Zhou, Tao Xiang, Andrea Cavallaro:
Video Summarisation by Classification with Deep Reinforcement Learning. CoRR abs/1807.03089 (2018) - 2017
- [c1]Kaiyang Zhou, Adeline Paiement, Majid Mirmehdi:
Detecting humans in RGB-D data with CNNs. MVA 2017: 306-309
Coauthor Index
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