Kaiyang Zhou - RankMe

83 papers A* 14A 4Misc 1Journal 60Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models. IEEE Trans. Pattern Anal. Mach. Intell. Hao Dong, Moru Liu, Kaiyang Zhou, Eleni N. Chatzi, Juho Kannala, Cyrill Stachniss, Olga Fink
2025	J	`jnl`	Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models. CoRR Hao Dong, Moru Liu, Kaiyang Zhou, Eleni N. Chatzi, Juho Kannala, Cyrill Stachniss, Olga Fink
2025	J	`jnl`	Bootstrapping Grounded Chain-of-Thought in Multimodal LLMs for Data-Efficient Model Adaptation. CoRR Jiaer Xia, Bingkui Tong, Yuhang Zang, Rui Shao, Kaiyang Zhou
2025	J	`jnl`	Contextual Object Detection with Multimodal Large Language Models. Int. J. Comput. Vis. Yuhang Zang, Wei Li, Jun Han, Kaiyang Zhou, Chen Change Loy
2025	A*	`conf`	EmoSym: A Symbiotic Framework for Unified Emotional Understanding and Generation via Latent Reasoning. ACM Multimedia Yijie Zhu, Yibo Lyu, Zitong Yu, Rui Shao, Kaiyang Zhou, Liqiang Nie
2025	A	`conf`	Fair Allocation of Divisible Goods under Non-Linear Valuations. AAMAS Haris Aziz, Zixu He, Xinhang Lu, Kaiyang Zhou
2025	J	`jnl`	Fine-tuning Quantized Neural Networks with Zeroth-order Optimization. CoRR Sifeng Shang, Jiayi Zhou, Chenyu Lin, Minxian Li, Kaiyang Zhou
2025	J	`jnl`	Learning to Think Fast and Slow for Visual Language Models. CoRR Chenyu Lin, Cheng Chi, Jinlin Wu, Sharon Li, Kaiyang Zhou
2025	J	`jnl`	Measuring Epistemic Humility in Multimodal Large Language Models. CoRR Bingkui Tong, Jiaer Xia, Sifeng Shang, Kaiyang Zhou
2025	J	`jnl`	Mitigating Hallucination in Multimodal LLMs with Layer Contrastive Decoding. CoRR Bingkui Tong, Jiaer Xia, Kaiyang Zhou
2025	J	`jnl`	Neural Prompt Search. IEEE Trans. Pattern Anal. Mach. Intell. Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu
2025	J	`jnl`	Polarity Prompting Vision Foundation Models for Pathology Image Analysis. IEEE Trans. Medical Imaging Chong Yin, Siqi Liu, Kaiyang Zhou, Vincent Wai-Sun Wong, Pong C. Yuen
2025	J	`jnl`	Streaming Video Instruction Tuning. CoRR Jiaer Xia, Peixian Chen, Mengdan Zhang, Xin Sun, Kaiyang Zhou
2025	J	`jnl`	Training-Free Watermarking for Autoregressive Image Generation. CoRR Yu Tong, Zihao Pan, Shuai Yang, Kaiyang Zhou
2025	J	`jnl`	Visionary-R1: Mitigating Shortcuts in Visual Reasoning with Reinforcement Learning. CoRR Jiaer Xia, Yuhang Zang, Peng Gao, Yixuan Li, Kaiyang Zhou
2024	J	`jnl`	4D Panoptic Scene Graph Generation. CoRR Jingkang Yang, Jun Cen, Wenxuan Peng, Shuai Liu, Fangzhou Hong, Xiangtai Li, Kaiyang Zhou, Qifeng Chen, Ziwei Liu
2024	A*	`conf`	Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models. CVPR Yabin Zhang, Wenjie Zhu, Hui Tang, Zhiyuan Ma, Kaiyang Zhou, Lei Zhang
2024	J	`jnl`	Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models. CoRR Yabin Zhang, Wenjie Zhu, Hui Tang, Zhiyuan Ma, Kaiyang Zhou, Lei Zhang
2024	J	`jnl`	Generalized Out-of-Distribution Detection: A Survey. Int. J. Comput. Vis. Jingkang Yang, Kaiyang Zhou, Yixuan Li, Ziwei Liu
2024	J	`jnl`	Guest Editorial: Special Issue on the Promises and Dangers of Large Vision Models. Int. J. Comput. Vis. Kaiyang Zhou, Ziwei Liu, Xiaohua Zhai, Chunyuan Li, Kate Saenko
2024	J	`jnl`	MixStyle Neural Networks for Domain Generalization and Adaptation. Int. J. Comput. Vis. Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
2024	—	`conf`	Octopus: Embodied Vision-Language Programmer from Environmental Feedback. ECCV (1) Jingkang Yang, Yuhao Dong, Shuai Liu, Bo Li, Ziyue Wang, Haoran Tan, Chencheng Jiang, Jiamu Kang, Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu
2024	A*	`conf`	Open-Vocabulary Calibration for Fine-tuned CLIP. ICML Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei
2024	J	`jnl`	Open-Vocabulary Calibration for Vision-Language Models. CoRR Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei
2024	A*	`conf`	Prompting Vision Foundation Models for Pathology Image Analysis. CVPR Chong Yin, Siqi Liu, Kaiyang Zhou, Vincent Wai-Sun Wong, Pong C. Yuen
2023	A*	`conf`	4D Panoptic Scene Graph Generation. NeurIPS Jingkang Yang, Jun Cen, Wenxuan Peng, Shuai Liu, Fangzhou Hong, Xiangtai Li, Kaiyang Zhou, Qifeng Chen, Ziwei Liu
2023	J	`jnl`	Contextual Object Detection with Multimodal Large Language Models. CoRR Yuhang Zang, Wei Li, Jun Han, Kaiyang Zhou, Chen Change Loy
2023	J	`jnl`	Domain Generalization: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, Chen Change Loy
2023	J	`jnl`	Full-Spectrum Out-of-Distribution Detection. Int. J. Comput. Vis. Jingkang Yang, Kaiyang Zhou, Ziwei Liu
2023	J	`jnl`	Octopus: Embodied Vision-Language Programmer from Environmental Feedback. CoRR Jingkang Yang, Yuhao Dong, Shuai Liu, Bo Li, Ziyue Wang, Chencheng Jiang, Haoran Tan, Jiamu Kang, Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu
2023	J	`jnl`	OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection. CoRR 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
2023	A*	`conf`	Panoptic Video Scene Graph Generation. CVPR Jingkang Yang, Wenxuan Peng, Xiangtai Li, Zujin Guo, Liangyu Chen, Bo Li, Zheng Ma, Kaiyang Zhou, Wayne Zhang, Chen Change Loy, Ziwei Liu
2023	J	`jnl`	Panoptic Video Scene Graph Generation. CoRR Jingkang Yang, Wenxuan Peng, Xiangtai Li, Zujin Guo, Liangyu Chen, Bo Li, Zheng Ma, Kaiyang Zhou, Wayne Zhang, Chen Change Loy, Ziwei Liu
2023	J	`jnl`	Semi-Supervised Domain Generalization with Stochastic StyleMatch. Int. J. Comput. Vis. Kaiyang Zhou, Chen Change Loy, Ziwei Liu
2023	J	`jnl`	Semi-Supervised and Long-Tailed Object Detection with CascadeMatch. CoRR Yuhang Zang, Kaiyang Zhou, Chen Huang, Chen Change Loy
2023	J	`jnl`	Semi-Supervised and Long-Tailed Object Detection with CascadeMatch. Int. J. Comput. Vis. Yuhang Zang, Kaiyang Zhou, Chen Huang, Chen Change Loy
2023	A*	`conf`	What Makes Good Examples for Visual In-Context Learning? NeurIPS Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu
2023	J	`jnl`	What Makes Good Examples for Visual In-Context Learning? CoRR Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu
2022	A*	`conf`	Conditional Prompt Learning for Vision-Language Models. CVPR Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu
2022	J	`jnl`	Conditional Prompt Learning for Vision-Language Models. CoRR Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu
2022	J	`jnl`	Detecting Humans in RGB-D Data with CNNs. CoRR Kaiyang Zhou, Adeline Paiement, Majid Mirmehdi
2022	J	`jnl`	Dynamic Instance Domain Adaptation. CoRR Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang
2022	J	`jnl`	Dynamic Instance Domain Adaptation. IEEE Trans. Image Process. Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang
2022	J	`jnl`	Full-Spectrum Out-of-Distribution Detection. CoRR Jingkang Yang, Kaiyang Zhou, Ziwei Liu
2022	J	`jnl`	Learning Generalisable Omni-Scale Representations for Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang
2022	A	`conf`	Learning to Augment via Implicit Differentiation for Domain Generalization. BMVC Tingwei Wang, Da Li, Kaiyang Zhou, Tao Xiang, Yi-Zhe Song
2022	J	`jnl`	Learning to Augment via Implicit Differentiation for Domain Generalization. CoRR Tingwei Wang, Da Li, Kaiyang Zhou, Tao Xiang, Yi-Zhe Song
2022	J	`jnl`	Learning to Prompt for Vision-Language Models. Int. J. Comput. Vis. Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu
2022	J	`jnl`	Neural Prompt Search. CoRR Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu
2022	J	`jnl`	On-Device Domain Generalization. CoRR Kaiyang Zhou, Yuanhan Zhang, Yuhang Zang, Jingkang Yang, Chen Change Loy, Ziwei Liu
2022	—	`conf`	Open-Vocabulary DETR with Conditional Matching. ECCV (9) Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy
2022	J	`jnl`	Open-Vocabulary DETR with Conditional Matching. CoRR Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy
2022	A*	`conf`	OpenOOD: Benchmarking Generalized Out-of-Distribution Detection. NeurIPS 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
2022	J	`jnl`	OpenOOD: Benchmarking Generalized Out-of-Distribution Detection. CoRR 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
2022	—	`conf`	Panoptic Scene Graph Generation. ECCV (27) Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu
2022	J	`jnl`	Panoptic Scene Graph Generation. CoRR Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu
2022	J	`jnl`	Unified Vision and Language Prompt Learning. CoRR Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy
2021	J	`jnl`	Domain Adaptive Ensemble Learning. IEEE Trans. Image Process. Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
2021	A	`conf`	Domain Attention Consistency for Multi-Source Domain Adaptation. BMVC Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang
2021	J	`jnl`	Domain Attention Consistency for Multi-Source Domain Adaptation. CoRR Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang
2021	A*	`conf`	Domain Generalization with MixStyle. ICLR Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
2021	J	`jnl`	Domain Generalization with MixStyle. CoRR Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
2021	J	`jnl`	Domain Generalization: A Survey. CoRR Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, Chen Change Loy
2021	A*	`conf`	Energy-Based Open-World Uncertainty Modeling for Confidence Calibration. ICCV Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
2021	J	`jnl`	Energy-Based Open-World Uncertainty Modeling for Confidence Calibration. CoRR Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
2021	J	`jnl`	Generalized Out-of-Distribution Detection: A Survey. CoRR Jingkang Yang, Kaiyang Zhou, Yixuan Li, Ziwei Liu
2021	J	`jnl`	Learning to Prompt for Vision-Language Models. CoRR Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu
2021	J	`jnl`	MixStyle Neural Networks for Domain Generalization and Adaptation. CoRR Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
2021	J	`jnl`	Semi-Supervised Domain Generalization with Stochastic StyleMatch. CoRR Kaiyang Zhou, Chen Change Loy, Ziwei Liu
2020	A*	`conf`	Deep Domain-Adversarial Image Generation for Domain Generalisation. AAAI Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2020	J	`jnl`	Deep Domain-Adversarial Image Generation for Domain Generalisation. CoRR Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2020	J	`jnl`	Domain Adaptive Ensemble Learning. CoRR Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
2020	—	`conf`	Learning to Generate Novel Domains for Domain Generalization. ECCV (16) Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2020	J	`jnl`	Learning to Generate Novel Domains for Domain Generalization. CoRR Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2019	J	`jnl`	Learning Generalisable Omni-Scale Representations for Person Re-Identification. CoRR Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang
2019	A*	`conf`	Omni-Scale Feature Learning for Person Re-Identification. ICCV Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang
2019	J	`jnl`	Omni-Scale Feature Learning for Person Re-Identification. CoRR Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang
2019	J	`jnl`	Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch. CoRR Kaiyang Zhou, Tao Xiang
2018	A*	`conf`	Deep Reinforcement Learning for Unsupervised Video Summarization With Diversity-Representativeness Reward. AAAI Kaiyang Zhou, Yu Qiao, Tao Xiang
2018	J	`jnl`	Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward. CoRR Kaiyang Zhou, Yu Qiao
2018	A	`conf`	Video Summarisation by Classification with Deep Reinforcement Learning. BMVC Kaiyang Zhou, Tao Xiang, Andrea Cavallaro
2018	J	`jnl`	Video Summarisation by Classification with Deep Reinforcement Learning. CoRR Kaiyang Zhou, Tao Xiang, Andrea Cavallaro
2017	Misc	`conf`	Detecting humans in RGB-D data with CNNs. MVA Kaiyang Zhou, Adeline Paiement, Majid Mirmehdi