Yanwei Fu is a professor  at the School of Data Science, Fudan University, Shanghai China.

He is  Professor of Eastern Scholar, Shanghai (上海高校特聘教授 – 东方学者), 1000 young scholar (青千)，and ARC DECRA fellow.

Research interests

He is interested in the following ML/CV topics (with the corresponding selected papers from my Project page):

1, Learning from small samples by exploring the Statistical sparsity

• Statistical Sparsity: Lasso-type ML methods
• One/Few-shot/Supervised learning by statistical methods

2, Learning based 3D/4D object/body Reconstruction and Robotic Grasping;

• 4D Object Mesh sequence reconstruction from videos/point clouds
• 6DoF Object Pose Estimation Robotic Grasping

3, AIGC, Foundation Models.

• AIGC for 3D models: Foundation to generated 3D pointcloud or meshes of objects
• Mind-Visualization: visualizing fMRI into images
• Foundation models for Image Manipulation and Editing
• RobotGPT: ChatGPT enabling the Robot Tasks

Please use the key words to search the corresponding papers from my Project Pages.

Homepage of interesting tasks: 1) Inpainting: zits++: https://ewrfcas.github.io/ZITS-PlusPlus/ CasMTR: https://ewrfcas.github.io/CasMTR/ ARCI: https://ewrfcas.github.io/ARCI/

2)Vision-Guided Robotic Grapsing: 2.1, we have used Large Language Model (LLM) to improve the performance of robotics: https://star-uu-wang.github.io/WALL-E/ 2.2, Our ICCV 23’s work in fancy controlling the robotics for pouring water: https://hetolin.github.io/PourIt/ 2.3, Our CVPR22, ICRA2022 works on vision guided robotic grasping in general. 6DoF category-level object localization https://hetolin.github.io/SAR-Net/ 2.4 sketch-guided robotic grasping https://hetolin.github.io/Skt_grasp/

Timeline

• Jan. 2015 – July 2016, postdoctoral researcher, Disney Research Pittsburgh with Dr. Leon Sigal
• Sep. 2011 – Nov. 2014 PhD in Computer Vision, Queen Mary University of London, with Prof. Tao Xiang (Tony) and Prof. Shaogang Gong (Sean)
• Sep. 2008 – Jun. 2011 Master in Computer Science, Nanjing University with Prof. Yanwen Guo.

Please donot contact me via my QMUL email address, which has been suspended.

关于本组招生：大数据学院科学硕士及直博生是统一招生（而不是分配给导师名额）。所以感兴趣我们组的话，可以直接去申请拿到学院的offer，再联系我即可。申请普博或者Oversea students想来我们组做summer intern的话，可以提前联系我。 大家有兴趣联系我们，可以email联系我。 有兴趣做statistical sparsity的本科同学，可以直接联系孙鑫伟老师，我们可以一起合作。

**注意：本组已经没有2024年9月份入学的硕士、博士名额了。 **

Recent News

• 12/2023 Dr. Yanwei Fu is a full professor of Fudan University, starting from Dec. 2023.
• 03/2024 Chenjie Cao passed his PhD Viva, and Dr. Xuelin Qian will join Northwestern Polytechnical University (NWPU) as Associate Professor.
• 03/2024 I am holding CVPR tutorial from 2022 to 2024. Hopefully, I can get US visa for the trip.
• 03/2024 I will organize CVPR 2024 object-centric represenation tutorial with Tong He, Tianjun Xiao, and Francesco Locatello. https://object-centric-representation.github.io/object-centric-tutorial-2024/
• 07/2023 1 IROS 2023 paper, and 7 ICCV 2023 papers accepted
• 06/2023 I will organize CVPR 2023 few-shot learning tutorial with Yikai Wang, Da Li, Yu-Xiong Wang, Timothy Hispedales: https://fsl-fudan.github.io
• 05/2023 Chengming Xu, Boyang Jiang, Yuqian Fu, and Qiang Sun passed their PhD Viva. Congratulations!
• 05/2023 One IEEE TPAMI paper accepted – ZITS++
• 01/2023 I will serve as ICML 2023 Area Chair. I guess it may be still challenging, as ML community always likes to make some experiments in exploring a better review process.
• 12/2022 One IEEE TPAMI and one TMLR paper accepted! The TPAMI one about identifying causal features in one-shot learning; TMLR one is about DINO features for MVS, which took the first place in tank and temples Leaderboard , during the past 6 months. We released their codes. This year, our group has 4 accepted IEEE TPAMI papers, 2 accepted TMLR paper.
• 12/2022 Yu Xie, and Pan Li passed their PhD Viva. Congratulations!
• 08/2022 I  will organize the tutorial “The Priors Guided Image Editing and Synthesis” with Prof. Shenghua Gao, Mr. Chenjie Cao, and Mr. Qiaole Dong in ACCV 2022, held in Macau SAR, China. https://dqiaole.github.io/priors_guided_image_editing_synthesis/``
• 07/2022 We organize the 2nd Visual Intelligence Seminar on Few-shot Learning with Online videos
• 07/2022 Our MVSFormer has ranked as Top-1 (since May) on the leaderboard
• 07/2022 Two ACM MM2022 and Three ECCV2022 papers accepted.
• 06/2022 I am a Fellow member of BCS.
• 06/2022 I organized a CVPR 2022 tutorial of “Sparsity Learning in Neural Networks and Robust Statistical Analysis”, jointly with  Dr. Xinwei Sun, Prof. Yuan Yao, and Prof. Wotao Yin.
• 05/2022 Three IEEE TPAMI papers accepted.
• 03/2022 I am in the action editor list of Transactions on Machine Learning Research.
• 02/2022 Ten papers accepted to CVPR 2022
• 02/2022 Two papers accepted to ICRA 2022
• 01/2021 We organize the 1st Visual Intelligence Seminar on Few-shot Learning.

Media Interview

• 05/2023 https://m.thepaper.cn/newsDetail_forward_23279276 ````````````````