Publications

* indicates co-first authour

• A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs
  Chang Wan, Ke Fan, Xinwei Sun, Yanwei Fu, Minglu Li, Yunliang Jiang, Zhonglong Zheng^✉
  Machine Learning
  

• Repositioning the Subject within Image
  Yikai Wang, Chenjie Cao, Ke Fan, Qiaole Dong, Yifan Li, Xiangyang Xue, Yanwei Fu^✉
  TMLR, 2024
  Paper | Code |

• Adaptive Slot Attention: Object Discovery with Dynamic Slot Number
  Ke Fan, Zechen Bai, Tianjun Xiao, Tong He, Max Horn, Yanwei Fu^✉, Francesco Locatello, Zheng Zhang
  CVPR, 2024
  Paper | Code |

• Test-Time Linear Out-of-Distribution Detection
  Ke Fan*, Tong Liu*, Xingyu Qiu, Yikai Wang, Lian Huai^✉, Zeyu Shangguan, Shuang Gou, Fengjian Liu, Yuqian Fu, Yanwei Fu, Xingqun Jiang
  CVPR, 2024.
  Paper | Code |

• Unsupervised Open-Vocabulary Object Localization in Videos
  Ke Fan*, Zechen Bai*, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel, Mike Zheng Shou, Francesco Locatello, Bernt Schiele, Thomas Brox, Zheng Zhang^✉, Yanwei Fu^✉, Tong He
  ICCV, 2023; CVPR 2024 Workshop CORR.
  Paper | Code |

• Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation
  Ke Fan*, Jingshi Lei*, Xuelin Qian^✉, Miaopeng Yu, Tianjun Xiao^✉, Tong He, Zheng Zhang, Yanwei Fu
  ICCV, 2023.
  Paper | Code |

• Clustering by the Probability Distributions From Extreme Value Theory
  Sixiao Zheng*, Ke Fan*, Yanxi Hou, Jianfeng Feng, and Yanwei Fu^✉
  IEEE Transactions on Artificial Intelligence, 2022.
  Paper | Code |

Preprints

• A Simple Test-Time Method for Out-of-Distribution Detection
  Ke Fan, Yikai Wang, Qian Yu, Da Li, Yanwei Fu^✉
  Technical Report, 2022.
  Paper |

You can also find my articles on my Google Scholar profile.