CTVIS: Consistent Training for Online Video Instance Segmentation. - Kaining Ying; Qing Zhong; Weian Mao; Zhenhua Wang 003; Hao Chen 041; Lin Yuanbo Wu; Yifan Liu 001; Chengxiang Fan; Yunzhi Zhuge; Chunhua Shen (ICCV, 2023)

SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning. - Muzhi Zhu; Hengtao Li; Hao Chen 041; Chengxiang Fan; Weian Mao; Chenchen Jing; Yifan Liu 001; Chunhua Shen (ICCV, 2023)

DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data. - Chengxiang Fan; Muzhi Zhu; Hao Chen 041; Yang Liu 357; Weijia Wu 001; Huaqi Zhang; Chunhua Shen (CVPR, 2024)

Dual-Domain Multi-Model GAN Fingerprint Restoration for Compressed Fake Face Attribution. - Chengxiang Fan; Aohong Shen; Zhen Han 002; Cai Tong; Zhongyuan Wang 001; Dekang Yi (ICME, 2024)

Generative Active Learning for Long-tailed Instance Segmentation. - Muzhi Zhu; Chengxiang Fan; Hao Chen 041; Yang Liu 357; Weian Mao; Xiaogang Xu 002; Chunhua Shen (ICML, 2024)

Diffusion Models Trained with Large Data Are Transferable Visual Models. - Guangkai Xu; Yongtao Ge; Mingyu Liu; Chengxiang Fan; Kangyang Xie; Zhiyue Zhao; Hao Chen 041; Chunhua Shen (CoRR, 2024)

What Matters When Repurposing Diffusion Models for General Dense Perception Tasks? - Guangkai Xu; Yongtao Ge; Mingyu Liu; Chengxiang Fan; Kangyang Xie; Zhiyue Zhao; Hao Chen 041; Chunhua Shen (ICLR, 2025)