| U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation C Li, X Liu, W Li, C Wang, H Liu, Y Yuan arXiv e-prints, arXiv: 2406.02918, 2024 | 90 | 2024 |
| Endora: Video Generation Models as Endoscopy Simulators C Li, H Liu, Y Liu, BY Feng, W Li, X Liu, Z Chen, J Shao, Y Yuan International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 35 | 2024 |
| Lgs: A light-weight 4d gaussian splatting for efficient surgical scene reconstruction H Liu, Y Liu, C Li, W Li, Y Yuan International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 19 | 2024 |
| EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting C Li, BY Feng, Y Liu, H Liu, C Wang, W Yu, Y Yuan International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 14 | 2024 |
| Gaussianstego: A generalizable stenography pipeline for generative 3d gaussians splatting C Li, H Liu, Z Fan, W Li, Y Liu, P Pan, Y Yuan arXiv preprint arXiv:2407.01301, 2024 | 12 | 2024 |
| P2SAM: Probabilistically Prompted SAMs Are Efficient Segmentator for Ambiguous Medical Images Y Huang, C Li, Z Lin, H Liu, H Xu, Y Liu, Y Huang, X Ding, X Tu, Y Yuan Proceedings of the 32nd ACM International Conference on Multimedia, 9779-9788, 2024 | 2 | 2024 |
| ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting Y Yang, H Liu, C Li, Y Sun, W Li, Y Liu, Y Lin, Y Yuan, N Ye arXiv preprint arXiv:2501.03605, 2025 | | 2025 |
| An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise J Cui, YG Zhang, H Liu, Y Wang arXiv preprint arXiv:2501.01130, 2025 | | 2025 |
| Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM C Li, W Li, H Liu, X Liu, Q Xu, Z Chen, Y Huang, Y Yuan The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
Chenxin LiThe Chinese University of Hong KongE-mailová adresa ověřena na: cuhk.edu.hk