| Learning to Prompt for Vision-Language Models K Zhou, J Yang, CC Loy, Z Liu International Journal of Computer Vision (IJCV), 2022 | 1283 | 2022 |
| Omni-Scale Feature Learning for Person Re-Identification K Zhou, Y Yang, A Cavallaro, T Xiang IEEE International Conference on Computer Vision (ICCV), 2019 | 901 | 2019 |
| 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 | 801 | 2022 |
| Domain Generalization: A Survey K Zhou, Z Liu, Y Qiao, T Xiang, CC Loy IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 | 763* | 2022 |
| Domain Generalization with MixStyle K Zhou, Y Yang, Y Qiao, T Xiang International Conference on Learning Representations (ICLR), 2021 | 652 | 2021 |
| Generalized out-of-distribution detection: A survey J Yang, K Zhou, Y Li, Z Liu arXiv preprint arXiv:2110.11334, 2021 | 601 | 2021 |
| Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward K Zhou, Y Qiao, T Xiang AAAI Conference on Artificial Intelligence (AAAI), 2018 | 453 | 2018 |
| Learning to Generate Novel Domains for Domain Generalization K Zhou, Y Yang, T Hospedales, T Xiang European Conference on Computer Vision (ECCV), 2020 | 411 | 2020 |
| Deep Domain-Adversarial Image Generation for Domain Generalisation K Zhou, Y Yang, T Hospedales, T Xiang AAAI Conference on Artificial Intelligence (AAAI), 2020 | 351 | 2020 |
| Domain Adaptive Ensemble Learning K Zhou, Y Yang, Y Qiao, T Xiang IEEE Transactions on Image Processing (TIP), 2021 | 231 | 2021 |
| 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 | 221 | 2021 |
| Torchreid: A Library for Deep Learning Person Re-Identification in PyTorch K Zhou, T Xiang arXiv preprint arXiv:1910.10093, 2019 | 134 | 2019 |
| 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 | 130 | 2022 |
| Open-Vocabulary DETR with Conditional Matching Y Zang, W Li, K Zhou, C Huang, CC Loy European Conference on Computer Vision (ECCV), 2022 | 116 | 2022 |
| Unified vision and language prompt learning Y Zang, W Li, K Zhou, C Huang, CC Loy arXiv preprint arXiv:2210.07225, 2022 | 95 | 2022 |
| Neural prompt search Y Zhang, K Zhou, Z Liu arXiv preprint arXiv:2206.04673, 2022 | 90 | 2022 |
| Panoptic Scene Graph Generation J Yang, YZ Ang, Z Guo, K Zhou, W Zhang, Z Liu European Conference on Computer Vision (ECCV), 2022 | 66 | 2022 |
| Video Summarisation by Classification with Deep Reinforcement Learning K Zhou, T Xiang, A Cavallaro British Machine Vision Conference (BMVC), 2018 | 47 | 2018 |
| What makes good examples for visual in-context learning? Y Zhang, K Zhou, Z Liu Advances in Neural Information Processing Systems, 2023 | 44 | 2023 |
| 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 | 44 | 2021 |
Ziwei LiuAssistant Professor, Nanyang Technological UniversityGeverifieerd e-mailadres voor ntu.edu.sg
