Kaiyang Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
8
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | Bootstrapping Grounded Chain-of-Thought in Multimodal Llms for Data-Efficient Model Adaptation. | Jiaer Xia, Bingkui Tong, Yuhang Zang, Rui Shao, Kaiyang Zhou |
| 2024 | CVPR | Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models. | Yabin Zhang, Wenjie Zhu, Hui Tang, Zhiyuan Ma, Kaiyang Zhou, Lei Zhang |
| 2024 | CVPR | Prompting Vision Foundation Models for Pathology Image Analysis. | Chong Yin, Siqi Liu, Kaiyang Zhou, Vincent Wai-Sun Wong, Pong C. Yuen |
| 2024 | ECCV | Octopus: Embodied Vision-Language Programmer from Environmental Feedback. | Jingkang Yang, Yuhao Dong, Shuai Liu, Bo Li, Ziyue Wang, Haoran Tan, Chencheng Jiang, Jiamu Kang, Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu |
| 2024 | ICML | Open-Vocabulary Calibration for Fine-tuned CLIP. | Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei |
| 2023 | CVPR | 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 |
| 2022 | BMVC | Learning to Augment via Implicit Differentiation for Domain Generalization. | Tingwei Wang, Da Li, Kaiyang Zhou, Tao Xiang, Yi-Zhe Song |
| 2022 | CVPR | Conditional Prompt Learning for Vision-Language Models. | Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu |
| 2022 | ECCV | Panoptic Scene Graph Generation. | Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu |
| 2022 | ECCV | Open-Vocabulary DETR with Conditional Matching. | Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy |
| 2021 | BMVC | Domain Attention Consistency for Multi-Source Domain Adaptation. | Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang |
| 2021 | ICCV | Energy-Based Open-World Uncertainty Modeling for Confidence Calibration. | Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li |
| 2021 | ICLR | Domain Generalization with MixStyle. | Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang |
| 2020 | AAAI | Deep Domain-Adversarial Image Generation for Domain Generalisation. | Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang |
| 2020 | ECCV | Learning to Generate Novel Domains for Domain Generalization. | Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang |
| 2019 | ICCV | Omni-Scale Feature Learning for Person Re-Identification. | Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang |
| 2018 | AAAI | Deep Reinforcement Learning for Unsupervised Video Summarization With Diversity-Representativeness Reward. | Kaiyang Zhou, Yu Qiao, Tao Xiang |
| 2018 | BMVC | Video Summarisation by Classification with Deep Reinforcement Learning. | Kaiyang Zhou, Tao Xiang, Andrea Cavallaro |
| 2017 | MVA | Detecting humans in RGB-D data with CNNs. | Kaiyang Zhou, Adeline Paiement, Majid Mirmehdi |