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Kaiyang Zhou
Kaiyang Zhou
Assistant Professor, Hong Kong Baptist University
Verified email at hkbu.edu.hk - Homepage
Title
Cited by
Cited by
Year
Learning to Prompt for Vision-Language Models
K Zhou, J Yang, CC Loy, Z Liu
International Journal of Computer Vision (IJCV), 2022
10672022
Omni-Scale Feature Learning for Person Re-Identification
K Zhou, Y Yang, A Cavallaro, T Xiang
IEEE International Conference on Computer Vision (ICCV), 2019
8452019
Domain Generalization: A Survey
K Zhou, Z Liu, Y Qiao, T Xiang, CC Loy
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
6742022
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
6402022
Domain Generalization with MixStyle
K Zhou, Y Yang, Y Qiao, T Xiang
International Conference on Learning Representations (ICLR), 2021
5842021
Generalized out-of-distribution detection: A survey
J Yang, K Zhou, Y Li, Z Liu
arXiv preprint arXiv:2110.11334, 2021
5272021
Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward
K Zhou, Y Qiao, T Xiang
AAAI Conference on Artificial Intelligence (AAAI), 2018
4342018
Learning to Generate Novel Domains for Domain Generalization
K Zhou, Y Yang, T Hospedales, T Xiang
European Conference on Computer Vision (ECCV), 2020
3622020
Deep Domain-Adversarial Image Generation for Domain Generalisation
K Zhou, Y Yang, T Hospedales, T Xiang
AAAI Conference on Artificial Intelligence (AAAI), 2020
3232020
Domain Adaptive Ensemble Learning
K Zhou, Y Yang, Y Qiao, T Xiang
IEEE Transactions on Image Processing (TIP), 2021
2112021
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
2052021
Torchreid: A Library for Deep Learning Person Re-Identification in PyTorch
K Zhou, T Xiang
arXiv preprint arXiv:1910.10093, 2019
1312019
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
1112022
Open-Vocabulary DETR with Conditional Matching
Y Zang, W Li, K Zhou, C Huang, CC Loy
European Conference on Computer Vision (ECCV), 2022
962022
Neural prompt search
Y Zhang, K Zhou, Z Liu
arXiv preprint arXiv:2206.04673, 2022
862022
Unified vision and language prompt learning
Y Zang, W Li, K Zhou, C Huang, CC Loy
arXiv preprint arXiv:2210.07225, 2022
782022
Panoptic Scene Graph Generation
J Yang, YZ Ang, Z Guo, K Zhou, W Zhang, Z Liu
European Conference on Computer Vision (ECCV), 2022
522022
Video Summarisation by Classification with Deep Reinforcement Learning
K Zhou, T Xiang, A Cavallaro
British Machine Vision Conference (BMVC), 2018
462018
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
362021
Detecting humans in RGB-D data with CNNs
K Zhou, A Paiement, M Mirmehdi
IAPR International Conference on Machine Vision Applications (MVA), 2017
342017
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Articles 1–20