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2020 – today
- 2024
[j10]Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
MixStyle Neural Networks for Domain Generalization and Adaptation. Int. J. Comput. Vis. 132(3): 822-836 (2024)- [j9]Kaiyang Zhou, Ziwei Liu, Xiaohua Zhai, Chunyuan Li, Kate Saenko:
Guest Editorial: Special Issue on the Promises and Dangers of Large Vision Models. Int. J. Comput. Vis. 132(4): 1009-1011 (2024) - [c21]Chong Yin, Siqi Liu, Kaiyang Zhou, Vincent Wai-Sun Wong, Pong C. Yuen:
Prompting Vision Foundation Models for Pathology Image Analysis. CVPR 2024: 11292-11301 - [c20]Yabin Zhang, Wenjie Zhu, Hui Tang, Zhiyuan Ma, Kaiyang Zhou, Lei Zhang:
Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models. CVPR 2024: 28718-28728 - [c19]Jingkang Yang, Yuhao Dong, Shuai Liu, Bo Li, Ziyue Wang, Haoran Tan, Chencheng Jiang, Jiamu Kang, Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu:
Octopus: Embodied Vision-Language Programmer from Environmental Feedback. ECCV (1) 2024: 20-38 - [c18]Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei:
Open-Vocabulary Calibration for Fine-tuned CLIP. ICML 2024 - [i36]Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei:
Open-Vocabulary Calibration for Vision-Language Models. CoRR abs/2402.04655 (2024) - [i35]Yabin Zhang, Wenjie Zhu, Hui Tang, Zhiyuan Ma, Kaiyang Zhou, Lei Zhang:
Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models. CoRR abs/2403.17589 (2024) - [i34]Jingkang Yang, Jun Cen, Wenxuan Peng, Shuai Liu, Fangzhou Hong, Xiangtai Li, Kaiyang Zhou, Qifeng Chen, Ziwei Liu:
4D Panoptic Scene Graph Generation. CoRR abs/2405.10305 (2024) - 2023
- [j8]Yuhang Zang
, Kaiyang Zhou, Chen Huang, Chen Change Loy:
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch. Int. J. Comput. Vis. 131(4): 987-1001 (2023) - [j7]Kaiyang Zhou, Chen Change Loy, Ziwei Liu:
Semi-Supervised Domain Generalization with Stochastic StyleMatch. Int. J. Comput. Vis. 131(9): 2377-2387 (2023) - [j6]Jingkang Yang, Kaiyang Zhou, Ziwei Liu:
Full-Spectrum Out-of-Distribution Detection. Int. J. Comput. Vis. 131(10): 2607-2622 (2023) - [j5]Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, Chen Change Loy:
Domain Generalization: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4396-4415 (2023) - [c17]Jingkang Yang, Wenxuan Peng, Xiangtai Li, Zujin Guo, Liangyu Chen, Bo Li, Zheng Ma, Kaiyang Zhou, Wayne Zhang, Chen Change Loy, Ziwei Liu:
Panoptic Video Scene Graph Generation. CVPR 2023: 18675-18685 - [c16]Jingkang Yang, Jun Cen, Wenxuan Peng, Shuai Liu, Fangzhou Hong, Xiangtai Li, Kaiyang Zhou, Qifeng Chen, Ziwei Liu:
4D Panoptic Scene Graph Generation. NeurIPS 2023 - [c15]Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu:
What Makes Good Examples for Visual In-Context Learning? NeurIPS 2023 - [i33]Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu:
What Makes Good Examples for Visual In-Context Learning? CoRR abs/2301.13670 (2023) - [i32]Yuhang Zang, Kaiyang Zhou, Chen Huang, Chen Change Loy:
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch. CoRR abs/2305.14813 (2023) - [i31]Yuhang Zang, Wei Li, Jun Han, Kaiyang Zhou, Chen Change Loy:
Contextual Object Detection with Multimodal Large Language Models. CoRR abs/2305.18279 (2023) - [i30]Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li:
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection. CoRR abs/2306.09301 (2023) - [i29]Jingkang Yang, Yuhao Dong, Shuai Liu, Bo Li, Ziyue Wang, Chencheng Jiang, Haoran Tan, Jiamu Kang, Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu:
Octopus: Embodied Vision-Language Programmer from Environmental Feedback. CoRR abs/2310.08588 (2023) - [i28]Jingkang Yang, Wenxuan Peng, Xiangtai Li, Zujin Guo, Liangyu Chen, Bo Li, Zheng Ma, Kaiyang Zhou, Wayne Zhang, Chen Change Loy, Ziwei Liu:
Panoptic Video Scene Graph Generation. CoRR abs/2311.17058 (2023) - 2022
- [j4]Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu:
Learning to Prompt for Vision-Language Models. Int. J. Comput. Vis. 130(9): 2337-2348 (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) - [c14]Tingwei Wang, Da Li, Kaiyang Zhou, Tao Xiang, Yi-Zhe Song:
Learning to Augment via Implicit Differentiation for Domain Generalization. BMVC 2022: 888 - [c13]Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu:
Conditional Prompt Learning for Vision-Language Models. CVPR 2022: 16795-16804 - [c12]Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy:
Open-Vocabulary DETR with Conditional Matching. ECCV (9) 2022: 106-122 - [c11]Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu:
Panoptic Scene Graph Generation. ECCV (27) 2022: 178-196 - [c10]Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, Wenxuan Peng, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan Li, Ziwei Liu:
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection. NeurIPS 2022 - [i27]Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang:
Dynamic Instance Domain Adaptation. CoRR abs/2203.05028 (2022) - [i26]Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu:
Conditional Prompt Learning for Vision-Language Models. CoRR abs/2203.05557 (2022) - [i25]Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy:
Open-Vocabulary DETR with Conditional Matching. CoRR abs/2203.11876 (2022) - [i24]Jingkang Yang, Kaiyang Zhou, Ziwei Liu:
Full-Spectrum Out-of-Distribution Detection. CoRR abs/2204.05306 (2022) - [i23]Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu:
Neural Prompt Search. CoRR abs/2206.04673 (2022) - [i22]Kaiyang Zhou, Adeline Paiement, Majid Mirmehdi:
Detecting Humans in RGB-D Data with CNNs. CoRR abs/2207.08064 (2022) - [i21]Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu:
Panoptic Scene Graph Generation. CoRR abs/2207.11247 (2022) - [i20]Kaiyang Zhou, Yuanhan Zhang, Yuhang Zang, Jingkang Yang, Chen Change Loy, Ziwei Liu:
On-Device Domain Generalization. CoRR abs/2209.07521 (2022) - [i19]Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy:
Unified Vision and Language Prompt Learning. CoRR abs/2210.07225 (2022) - [i18]Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, Wenxuan Peng, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan Li, Ziwei Liu:
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection. CoRR abs/2210.07242 (2022) - [i17]Tingwei Wang, Da Li, Kaiyang Zhou, Tao Xiang, Yi-Zhe Song:
Learning to Augment via Implicit Differentiation for Domain Generalization. CoRR abs/2210.14271 (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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last updated on 2024-10-13 17:58 CEST by the dblp team
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