| Distilled Siamese Networks for Visual Tracking Y Liu, X Dong, J Shen, X Lu, FS Khan, SCH Hoi IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 | 180* | 2021 |
| Multi-Rater Prism: Learning Self-Calibrated Medical Image Segmentation from Multiple Raters J Wu, H Fang, J Zhu, Y Zhang, X Li, Y Liu, H Liu, Y Jin, W Huang, Q Liu, ... Science Bulletin, 2024 | 20 | 2024 |
| Multiple People Tracking with Articulation Detection and Stitching Strategy Y Liu, J Yin, D Yu, S Zhao, J Shen Neurocomputing, 2020 | 20 | 2020 |
| Hyperbolic Category Discovery Y Liu, Z He, K Han IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 | 10 | 2025 |
| DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery Y Liu, K Han International Conference on Learning Representations (ICLR), 2025 | 5 | 2025 |
| ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval G Zhan*, Y Liu*, K Han, W Xie, A Zisserman IEEE International Conference on Content-Based Multimedia Indexing (CBMI), 2025 | 2 | 2025 |
| An Efficient Person Clustering Algorithm for Open Checkout-free Groceries J Wu, Y Zhang, R Fu, Y Liu, J Gao European Conference on Computer Vision (ECCV), 2022 | 2 | 2022 |
| SEAL: Semantic-Aware Hierarchical Learning for Generalized Category Discovery Z He*, Y Liu*, K Han Conference on Neural Information Processing Systems (NeurIPS), 2025 | 1 | 2025 |
| Category Discovery: An Open-World Perspective Z He, Y Liu, K Han arXiv preprint arXiv:2509.22542, 2025 | 1 | 2025 |
| UADet: A Remarkably Simple Yet Effective Uncertainty-Aware Open-Set Object Detection Framework S Cheng, Y Liu, K Han arXiv preprint arXiv:2412.09229, 2024 | 1 | 2024 |
| Hyperbolic Category Discovery–Supplementary Material– Y Liu, Z He, K Han | | |
Kai HanThe University of Hong KongVerified email at hku.hk
