😀️ Biography
I am currently a graduate student at Sun Yat-sen University, advised by Prof. Mengyuan Liu (Assistant Professor in PeKing Uiniversity).
I received a B.S. degree from Jinan University.
My research focuses on 3D Point Cloud Analysis and In-Context Learning. I am also highly interested in Large Language and Multimodal Models.
I am fortunate to have the opportunity to collaborate with Dr. Xia Li (ETH Zurich) and Dr. Xiangtai Li (MMLab@NTU).
🔥 News
- 2024.06: ModelNet-O & PointMLS is accepted by CVIU’2024. 🎉🎉🎉
- 2024.04: Point-In-Context-Seg is released on Arxiv, 2024.
- 2024.02: Skeleton-in-Context is accepted by CVPR’2024. 🎉🎉🎉
- 2023.09: Point-In-Context is accepted by NeurIPS’2023 as a spotlight. 🎉🎉🎉
- 2023.06: Point-In-Context is released on Arxiv, and the Code is also open-sourced.
- 2023.03: ModelNet-O & PointMLS is released on Arxiv, 2023.
📝 Publications
![sym](images/PIC-Seg.png)
Point-In-Context: Understanding Point Cloud via In-Context Learning
Mengyuan Liu, Zhongbin Fang📧, Xia Li📧, Joachim M Buhmann, Xiangtai Li, Chen Change Loy
- Possess stronger performance and generalization ability and achieve SOTA in multi-dataset segmentation tasks.
- Can perform unique part segmentation tasks via customized prompts.
![sym](images/SiC.png)
Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning
Xinshun Wang*, Zhongbin Fang*, Xia Li, Xiangtai Li, Chen Chen, Mengyuan Liu📧
- The first to explore in-context learning for skeleton sequence modeling.
- Solve the over-fitting problem encountered when using the masked-modeling-style training framework of existing methods.
![sym](images/PIC.png)
Explore In-Context Learning for 3D Point Cloud Understanding (Spotlight)
Zhongbin Fang, Xiangtai Li, Xia Li, Joachim M Buhmann, Chen Change Loy, Mengyuan Liu📧
- The first to explore in-context learning for 3D point cloud.
- Solve the information leakage problem caused by previous MPM methods.
- Can improve the performance by selecting higher-quality prompts
![sym](images/PointMLS.png)
ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification
Zhongbin Fang, Xia Li, Xiangtai Li, Shen Zhao📧, Mengyuan Liu📧
- Propose a challenging occluded point cloud classification dataset ModelNet-O.
- Propose a robust occlusion-aware method, PointMLS, based on a multi-level sampling strategy.
🎖 Honors and Awards
- 2022.10 The First Prize Scholarship of Sun Yat-sen University
- 2022.06 Outstanding Graduate of Jinan University
- 2021.10 National Scholarship of Jinan University (4%)
- 2020.10 The First Prize Scholarship and Outstanding Student Leader of Jinan University
- 2019.10 The First Prize Scholarship and Outstanding Student Leader of Jinan University
📖 Educations
- 2022.09 - (Now) Master, Sun Yat-sen University, Shenzhen.
- 2018.09 - 2022.06 Undergraduate, Jinan University, Zhuhai.
- 2015.09 - 2018.06 No.113 Middle School, Guangzhou.