| Ctvis: Consistent training for online video instance segmentation K Ying, Q Zhong, W Mao, Z Wang, H Chen, LY Wu, Y Liu, C Fan, Y Zhuge, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 899-908, 2023 | 39 | 2023 |
| Diffusion models trained with large data are transferable visual models G Xu, Y Ge, M Liu, C Fan, K Xie, Z Zhao, H Chen, C Shen arXiv preprint arXiv:2403.06090, 2024 | 17 | 2024 |
| 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 Proceedings of the IEEE/CVF International Conference on Computer Vision, 999 …, 2023 | 15 | 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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
| Generative Active Learning for Long-tailed Instance Segmentation M Zhu, C Fan, H Chen, Y Liu, W Mao, X Xu, C Shen arXiv preprint arXiv:2406.02435, 2024 | 2 | 2024 |
| Dual-Domain Multi-Model GAN Fingerprint Restoration for Compressed Fake Face Attribution C Fan, A Shen, Z Han, C Tong, Z Wang, D Yi 2024 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2024 | | 2024 |
| Amortising the Gap between Pre-training and Fine-tuning for Video Instance Segmentation Q Zhong, PT Jiang, W Wang, H Chen, C Fan, LY Wu | | |
Chunhua ShenZhejiang University在 zju.edu.cn 的电子邮件经过验证
