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2024
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Contextual Object Detection with Multimodal Large Language Models
Yuhang Zang, Wei Li, Jun Han, Kaiyang Zhou, Chen Change Loy
International Journal of Computer Vision (IJCV), 2024
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Neural Prompt Search
Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
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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
European Conference on Computer Vision (ECCV), 2024
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Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang, Kaiyang Zhou, Yixuan Li, Ziwei Liu
International Journal of Computer Vision (IJCV), 2024
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Open-Vocabulary Calibration for Vision-Language Models
Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei
International Conference on Machine Learning (ICML), 2024
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Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
Yabin Zhang, Wenjie Zhu, Hui Tang, Zhiyuan Ma, Kaiyang Zhou, Lei Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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Prompting Vision Foundation Models for Pathology Image Analysis
Chong Yin, Siqi Liu, Kaiyang Zhou, Vincent Wai-Sun Wong, Pong Chi Yuen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
2023
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Guest Editorial: Special Issue on the Promises and Dangers of Large Vision Models
Kaiyang Zhou, Ziwei Liu, Xiaohua Zhai, Chunyuan Li, Kate Saenko
International Journal of Computer Vision (IJCV), 2023
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4D Panoptic Scene Graph Generation
Jingkang Yang, Jun Cen, Wenxuan Peng, Shuai Liu, Fangzhou Hong, Xiangtai Li, Kaiyang Zhou, Qifeng Chen, Ziwei Liu
Neural Information Processing Systems (NeurIPS), 2023
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What Makes Good Examples for Visual In-Context Learning?
Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu
Neural Information Processing Systems (NeurIPS), 2023
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MixStyle Neural Networks for Domain Generalization and Adaptation
Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
International Journal of Computer Vision (IJCV), 2023
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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
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
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Semi-Supervised Domain Generalization with Stochastic StyleMatch
Kaiyang Zhou, Chen Change Loy, Ziwei Liu
International Journal of Computer Vision (IJCV), 2023
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Full-Spectrum Out-of-Distribution Detection
Jingkang Yang, Kaiyang Zhou, Ziwei Liu
International Journal of Computer Vision (IJCV), 2023
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Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
Yuhang Zang, Kaiyang Zhou, Chen Huang, Chen Change Loy
International Journal of Computer Vision (IJCV), 2023
2022
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Learning to Augment via Implicit Differentiation for Domain Generalization
Tingwei Wang, Da Li, Kaiyang Zhou, Tao Xiang, Yi-Zhe Song
British Machine Vision Conference (BMVC), 2022
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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
Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks, 2022
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Domain Generalization: A Survey
Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, Chen Change Loy
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
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Panoptic Scene Graph Generation
Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu
European Conference on Computer Vision (ECCV), 2022
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Open-Vocabulary DETR with Conditional Matching
Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy
European Conference on Computer Vision (ECCV), 2022
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Conditional Prompt Learning for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
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Learning to Prompt for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu
International Journal of Computer Vision (IJCV), 2022
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Dynamic Instance Domain Adaptation
Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang
IEEE Transactions on Image Processing (TIP), 2022
2021
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Domain Attention Consistency for Multi-Source Domain Adaptation
Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang
British Machine Vision Conference (BMVC), 2021
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Domain Adaptive Ensemble Learning
Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
IEEE Transactions on Image Processing (TIP), 2021
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Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
International Conference on Computer Vision (ICCV), 2021
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Learning Generalisable Omni-Scale Representations for Person Re-Identification
Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
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Domain Generalization with MixStyle
Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
International Conference on Learning Representations (ICLR), 2021
2020
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Adaptation and Generalization Across Domains in Visual Recognition with Deep Neural Networks
Kaiyang Zhou
PhD Thesis, University of Surrey, 2020
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Learning to Generate Novel Domains for Domain Generalization
Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, Tao Xiang
European Conference on Computer Vision (ECCV), 2020
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Deep Domain-Adversarial Image Generation for Domain Generalisation
Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, Tao Xiang
AAAI Conference on Artificial Intelligence (AAAI), 2020
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