| One-dimensional adapter to rule them all: Concepts diffusion models and erasing applications M Lyu, Y Yang, H Hong, H Chen, X Jin, Y He, H Xue, J Han, G Ding Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 38 | 2024 |
| Box-level active detection M Lyu, J Zhou, H Chen, Y Huang, D Yu, Y Li, Y Guo, Y Guo, L Xiang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 21 | 2023 |
| Contour-aware network with class-wise convolutions for 3D abdominal multi-organ segmentation H Gao, M Lyu, X Zhao, F Yang, X Bai Medical Image Analysis 87, 102838, 2023 | 9 | 2023 |
| Learn from the learnt: source-free active domain adaptation via contrastive sampling and visual persistence M Lyu, T Hao, X Xu, H Chen, Z Lin, J Han, G Ding European Conference on Computer Vision, 228-246, 2024 | 3 | 2024 |
| Re-parameterized low-rank prompt: generalize a vision-language model within 0.5 k parameters T Hao, M Lyu, H Chen, S Zhao, J Han, G Ding CoRR, 2023 | 2 | 2023 |
| Zero-shot embedding via regularization-based recollection and residual familiarity processes M Lyu, H Han, X Bai IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (11), 6852-6869, 2021 | 2 | 2021 |
| Towards Efficient Vision-Language Tuning: More Information Density, More Generalizability T Hao, M Lyu, H Chen, S Zhao, X Ding, J Han, G Ding arXiv preprint arXiv:2312.10813, 2023 | | 2023 |
| Supplementary Material-Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence M Lyu, T Hao, X Xu, H Chen, Z Lin, J Han, G Ding | | |
