| Matcher: Segment anything with one shot using all-purpose feature matching Y Liu, M Zhu, H Li, H Chen, X Wang, C Shen ICLR, 2023 | 73 | 2023 |
| Segprompt: Boosting open-world segmentation via category-level prompt learning M Zhu, H Li, H Chen, C Fan, W Mao, C Jing, Y Liu, C Shen ICCV2023, 999-1008, 2023 | 15 | 2023 |
| De novo protein design using geometric vector field networks W Mao, M Zhu, Z Sun, S Shen, LY Wu, H Chen, C Shen ICLR 2024(spotlight), 2023 | 10 | 2023 |
| DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data C Fan, M Zhu, H Chen, Y Liu, W Wu, H Zhang, C Shen CVPR2024, 2024 | 8 | 2024 |
| A Simple Image Segmentation Framework via In-Context Examples Y Liu, C Jing, H Li, M Zhu, H Chen, X Wang, C Shen NeurIPS2024, 2024 | 3 | 2024 |
| Masked channel modeling for bootstrapping visual pre-training Y Liu, X Wang, M Zhu, Y Cao, T Huang, C Shen International Journal of Computer Vision, 1-21, 2024 | 3 | 2024 |
| Modeling protein structure using geometric vector field networks W Mao, M Zhu, H Chen, C Shen bioRxiv, 2023.05. 07.539736, 2023 | 3 | 2023 |
| Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation M Zhu, Y Liu, Z Luo, C Jing, H Chen, G Xu, X Wang, C Shen NeurIPS2024, 2024 | 2 | 2024 |
| Generative Active Learning for Long-tailed Instance Segmentation M Zhu, C Fan, H Chen, Y Liu, W Mao, X Xu, C Shen ICML2024, 2024 | 2 | 2024 |
| Unveiling Universal Forensics of Diffusion Models with Adversarial Perturbations K Xie, J Liu, M Zhu, G Ding, Z Liu, H Chen, H Chen 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
| Boost Your Crystal Model with Denoising Pre-training S Shen, K Liu, M Zhu, H Chen ICML 2024 AI for Science Workshop, 2024 | | 2024 |
Chunhua ShenZhejiang UniversityAdresse e-mail validée de zju.edu.cn
