Kaiyang Zhou

According to our database, Kaiyang Zhou authored at least 40 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Guest Editorial: Special Issue on the Promises and Dangers of Large Vision Models.

Kaiyang Zhou, Ziwei Liu, Xiaohua Zhai, Chunyuan Li, Kate Saenko

Int. J. Comput. Vis., April, 2024

MixStyle Neural Networks for Domain Generalization and Adaptation.

Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang

Int. J. Comput. Vis., 2024

Open-Vocabulary Calibration for Vision-Language Models.

Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei

CoRR, 2024

Open-Vocabulary Calibration for Fine-tuned CLIP.

Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

Prompting Vision Foundation Models for Pathology Image Analysis.

Chong Yin, Siqi Liu, Kaiyang Zhou, Vincent Wai-Sun Wong, Pong C. Yuen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models.

Yabin Zhang, Wenjie Zhu, Hui Tang, Zhiyuan Ma, Kaiyang Zhou, Lei Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Full-Spectrum Out-of-Distribution Detection.

Jingkang Yang, Kaiyang Zhou, Ziwei Liu

Int. J. Comput. Vis., October, 2023

Semi-Supervised Domain Generalization with Stochastic StyleMatch.

Kaiyang Zhou, Chen Change Loy, Ziwei Liu

Int. J. Comput. Vis., September, 2023

Domain Generalization: A Survey.

Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, Chen Change Loy

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Semi-Supervised and Long-Tailed Object Detection with CascadeMatch.

Yuhang Zang, Kaiyang Zhou, Chen Huang, Chen Change Loy

Int. J. Comput. Vis., April, 2023

OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection.

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

CoRR, 2023

Contextual Object Detection with Multimodal Large Language Models.

Yuhang Zang, Wei Li, Jun Han, Kaiyang Zhou, Chen Change Loy

CoRR, 2023

What Makes Good Examples for Visual In-Context Learning?

Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

4D Panoptic Scene Graph Generation.

Jingkang Yang, Jun Cen, Wenxuan Peng, Shuai Liu, Fangzhou Hong, Xiangtai Li, Kaiyang Zhou, Qifeng Chen, Ziwei Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Dynamic Instance Domain Adaptation.

Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang

IEEE Trans. Image Process., 2022

Learning Generalisable Omni-Scale Representations for Person Re-Identification.

Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning to Prompt for Vision-Language Models.

Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu

Int. J. Comput. Vis., 2022

Unified Vision and Language Prompt Learning.

Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy

CoRR, 2022

On-Device Domain Generalization.

Kaiyang Zhou, Yuanhan Zhang, Yuhang Zang, Jingkang Yang, Chen Change Loy, Ziwei Liu

CoRR, 2022

Neural Prompt Search.

Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Open-Vocabulary DETR with Conditional Matching.

Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy

Proceedings of the Computer Vision - ECCV 2022, 2022

Panoptic Scene Graph Generation.

Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

Conditional Prompt Learning for Vision-Language Models.

Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning to Augment via Implicit Differentiation for Domain Generalization.

Tingwei Wang, Da Li, Kaiyang Zhou, Tao Xiang, Yi-Zhe Song

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Domain Adaptive Ensemble Learning.

Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang

IEEE Trans. Image Process., 2021

Generalized Out-of-Distribution Detection: A Survey.

Jingkang Yang, Kaiyang Zhou, Yixuan Li, Ziwei Liu

CoRR, 2021

Domain Generalization with MixStyle.

Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang

Proceedings of the 9th International Conference on Learning Representations, 2021

Energy-Based Open-World Uncertainty Modeling for Confidence Calibration.

Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Domain Attention Consistency for Multi-Source Domain Adaptation.

Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Learning to Generate Novel Domains for Domain Generalization.

Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang

Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Domain-Adversarial Image Generation for Domain Generalisation.

Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch.

Kaiyang Zhou, Tao Xiang

CoRR, 2019

Omni-Scale Feature Learning for Person Re-Identification.

Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward.

Kaiyang Zhou, Yu Qiao

CoRR, 2018

Video Summarisation by Classification with Deep Reinforcement Learning.

Kaiyang Zhou, Tao Xiang, Andrea Cavallaro

Proceedings of the British Machine Vision Conference 2018, 2018

Deep Reinforcement Learning for Unsupervised Video Summarization With Diversity-Representativeness Reward.

Kaiyang Zhou, Yu Qiao, Tao Xiang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Detecting humans in RGB-D data with CNNs.

Kaiyang Zhou, Adeline Paiement, Majid Mirmehdi

Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017