Следене
Kaiyang Zhou
Kaiyang Zhou
Assistant Professor, Hong Kong Baptist University
Потвърден имейл адрес: hkbu.edu.hk - Начална страница
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Позовавания
Позовавания
Година
Learning to Prompt for Vision-Language Models
K Zhou, J Yang, CC Loy, Z Liu
International Journal of Computer Vision (IJCV), 2022
13772022
Omni-Scale Feature Learning for Person Re-Identification
K Zhou, Y Yang, A Cavallaro, T Xiang
IEEE International Conference on Computer Vision (ICCV), 2019
9192019
Conditional Prompt Learning for Vision-Language Models
K Zhou, J Yang, CC Loy, Z Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
8632022
Domain Generalization: A Survey
K Zhou, Z Liu, Y Qiao, T Xiang, CC Loy
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
812*2022
Domain Generalization with MixStyle
K Zhou, Y Yang, Y Qiao, T Xiang
International Conference on Learning Representations (ICLR), 2021
6762021
Generalized out-of-distribution detection: A survey
J Yang, K Zhou, Y Li, Z Liu
arXiv preprint arXiv:2110.11334, 2021
6462021
Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward
K Zhou, Y Qiao, T Xiang
AAAI Conference on Artificial Intelligence (AAAI), 2018
4662018
Learning to Generate Novel Domains for Domain Generalization
K Zhou, Y Yang, T Hospedales, T Xiang
European Conference on Computer Vision (ECCV), 2020
4272020
Deep Domain-Adversarial Image Generation for Domain Generalisation
K Zhou, Y Yang, T Hospedales, T Xiang
AAAI Conference on Artificial Intelligence (AAAI), 2020
3612020
Domain Adaptive Ensemble Learning
K Zhou, Y Yang, Y Qiao, T Xiang
IEEE Transactions on Image Processing (TIP), 2021
2402021
Learning Generalisable Omni-Scale Representations for Person Re-Identification
K Zhou, Y Yang, A Cavallaro, T Xiang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
2332021
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
J Yang, P Wang, D Zou, Z Zhou, K Ding, W Peng, H Wang, G Chen, B Li, ...
Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks, 2022
1392022
Torchreid: A Library for Deep Learning Person Re-Identification in PyTorch
K Zhou, T Xiang
arXiv preprint arXiv:1910.10093, 2019
1372019
Open-Vocabulary DETR with Conditional Matching
Y Zang, W Li, K Zhou, C Huang, CC Loy
European Conference on Computer Vision (ECCV), 2022
1252022
Unified vision and language prompt learning
Y Zang, W Li, K Zhou, C Huang, CC Loy
arXiv preprint arXiv:2210.07225, 2022
992022
Neural prompt search
Y Zhang, K Zhou, Z Liu
arXiv preprint arXiv:2206.04673, 2022
952022
Panoptic Scene Graph Generation
J Yang, YZ Ang, Z Guo, K Zhou, W Zhang, Z Liu
European Conference on Computer Vision (ECCV), 2022
682022
What makes good examples for visual in-context learning?
Y Zhang, K Zhou, Z Liu
Advances in Neural Information Processing Systems, 2023
472023
Video Summarisation by Classification with Deep Reinforcement Learning
K Zhou, T Xiang, A Cavallaro
British Machine Vision Conference (BMVC), 2018
472018
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
Y Wang, B Li, T Che, K Zhou, D Li, Z Liu
IEEE International Conference on Computer Vision (ICCV), 2021
462021
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