Zhou, Kaiyang

18 publications

ICCV 2025 Bootstrapping Grounded Chain-of-Thought in Multimodal LLMs for Data-Efficient Model Adaptation Jiaer Xia, Bingkui Tong, Yuhang Zang, Rui Shao, Kaiyang Zhou

CVPR 2024 Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models Yabin Zhang, Wenjie Zhu, Hui Tang, Zhiyuan Ma, Kaiyang Zhou, Lei Zhang

ECCV 2024 Octopus: Embodied Vision-Language Programmer from Environmental Feedback Jingkang Yang, Yuhao Dong, Shuai Liu, Bo Li, Ziyue Wang, ChenCheng Jiang, Haoran Tan, Jiamu Kang, Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu

ICML 2024 Open-Vocabulary Calibration for Fine-Tuned CLIP Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei

CVPR 2024 Prompting Vision Foundation Models for Pathology Image Analysis Chong Yin, Siqi Liu, Kaiyang Zhou, Vincent Wai-Sun Wong, Pong C. Yuen

NeurIPS 2023 4D Panoptic Scene Graph Generation Jingkang Yang, Jun Cen, Wenxuan Peng, Shuai Liu, Fangzhou Hong, Xiangtai Li, Kaiyang Zhou, Qifeng Chen, Ziwei Liu

CVPR 2023 Panoptic Video Scene Graph Generation Jingkang Yang, Wenxuan Peng, Xiangtai Li, Zujin Guo, Liangyu Chen, Bo Li, Zheng Ma, Kaiyang Zhou, Wayne Zhang, Chen Change Loy, Ziwei Liu

NeurIPS 2023 What Makes Good Examples for Visual In-Context Learning? Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu

CVPR 2022 Conditional Prompt Learning for Vision-Language Models Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu

ECCV 2022 Open-Vocabulary DETR with Conditional Matching Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy

NeurIPS 2022 OpenOOD: Benchmarking Generalized Out-of-Distribution Detection 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

ECCV 2022 Panoptic Scene Graph Generation Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu

ICLR 2021 Domain Generalization with MixStyle Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang

ICCV 2021 Energy-Based Open-World Uncertainty Modeling for Confidence Calibration Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li

NeurIPSW 2021 Semi-Supervised Domain Generalization with Stochastic StyleMatch Kaiyang Zhou, Chen Change Loy, Ziwei Liu

AAAI 2020 Deep Domain-Adversarial Image Generation for Domain Generalisation Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang

ECCV 2020 Learning to Generate Novel Domains for Domain Generalization Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, Tao Xiang

AAAI 2018 Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward Kaiyang Zhou, Yu Qiao, Tao Xiang