| Learning to Prompt for Vision-Language Models K Zhou, J Yang, CC Loy, Z Liu International Journal of Computer Vision (IJCV), 2022 | 2641 | 2022 |
| 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 | 1675 | 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 | 1372 | 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 | 1138 | 2019 |
| Generalized out-of-distribution detection: A survey J Yang, K Zhou, Y Li, Z Liu International Journal of Computer Vision, 1-28, 2024 | 1074 | 2024 |
| Domain Generalization with MixStyle K Zhou, Y Yang, Y Qiao, T Xiang International Conference on Learning Representations (ICLR), 2021 | 928 | 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 | 523 | 2018 |
| Learning to Generate Novel Domains for Domain Generalization K Zhou, Y Yang, T Hospedales, T Xiang European Conference on Computer Vision (ECCV), 2020 | 522 | 2020 |
| Deep Domain-Adversarial Image Generation for Domain Generalisation K Zhou, Y Yang, T Hospedales, T Xiang AAAI Conference on Artificial Intelligence (AAAI), 2020 | 448 | 2020 |
| Neural prompt search Y Zhang, K Zhou, Z Liu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 357 | 2024 |
| Domain Adaptive Ensemble Learning K Zhou, Y Yang, Y Qiao, T Xiang IEEE Transactions on Image Processing (TIP), 2021 | 325 | 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 | 318 | 2021 |
| 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 | 273 | 2022 |
| Open-Vocabulary DETR with Conditional Matching Y Zang, W Li, K Zhou, C Huang, CC Loy European Conference on Computer Vision (ECCV), 2022 | 221 | 2022 |
| Unified vision and language prompt learning Y Zang, W Li, K Zhou, C Huang, CC Loy arXiv preprint arXiv:2210.07225, 2022 | 169 | 2022 |
| Torchreid: A Library for Deep Learning Person Re-Identification in PyTorch K Zhou, T Xiang arXiv preprint arXiv:1910.10093, 2019 | 161 | 2019 |
| Panoptic Scene Graph Generation J Yang, YZ Ang, Z Guo, K Zhou, W Zhang, Z Liu European Conference on Computer Vision (ECCV), 2022 | 127 | 2022 |
| What makes good examples for visual in-context learning? Y Zhang, K Zhou, Z Liu Advances in Neural Information Processing Systems, 2023 | 105 | 2023 |
| Contextual object detection with multimodal large language models Y Zang, W Li, J Han, K Zhou, CC Loy International Journal of Computer Vision, 1-19, 2024 | 90 | 2024 |
| Mixstyle neural networks for domain generalization and adaptation K Zhou, Y Yang, Y Qiao, T Xiang International Journal of Computer Vision, 1-15, 2023 | 81 | 2023 |
Ziwei LiuAssociate Professor, Nanyang Technological UniversityZweryfikowany adres z ntu.edu.sg
