Chengxiang Fan

2023202416 4

Chunhua ShenZhejiang UniversityVerified email at zju.edu.cn
Weian MaoThe University of AdelaideVerified email at adelaide.edu.au
Hao ChenZhejiang UniversityVerified email at zju.edu.cn
Muzhi ZhuZhejiang UniversityVerified email at zju.edu.cn
Kaining YingFVLVerified email at pjlab.org.cn
Qing ZhongPHD Student, The University of AdelaideVerified email at adelaide.edu.au
Chenchen Jing(景宸琛)Zhejiang UniversityVerified email at zju.edu.cn
Yang LiuZhejiang UniversityVerified email at zju.edu.cn
Guangkai XuZhejiang UniversityVerified email at zju.edu.cn
Weijia WuZhejiang University & National University of SingaporeVerified email at zju.edu.cn

Chengxiang Fan

Verified email at zju.edu.cn


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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	14	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 Proceedings of the IEEE/CVF International Conference on Computer Vision, 999 …, 2023	6	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 arXiv preprint arXiv:2405.10185, 2024		2024
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		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

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