Lei Li
3D AI Lab, Technical University of Munich, Germany

Lei Li is currently a postdoctoral researcher at Technical University of Munich, Germany, working with Prof. Angela Dai. Previously, he worked as a postdoctoral researcher with Prof. Maks Ovsjanikov from 2020 to 2022 at LIX, École Polytechnique / Inria, France. Lei received his PhD in Computer Science and Engineering (2020) from Hong Kong University of Science and Technology, and his BEng in Software Engineering (2014) from Shandong University, China. He was a research intern at Alibaba A.I. Labs (2018) and Megvii Research (2019). His PhD thesis advisor is Prof. Chiew-Lan Tai, and he also works closely with Prof. Hongbo Fu. Lei’s research interests span computer graphics and computer vision, with a focus on geometric deep learning and human-centered computing.
News
03.2025 | I was invited to serve as a member of the program committee for the Pacific Graphics 2025. |
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02.2025 | Our work MeshArt: Generating Articulated Meshes with Structure-Guided Transformers has been accepted by CVPR 2025. |
02.2025 | Our work LT3SD: Latent Trees for 3D Scene Diffusion has been accepted by CVPR 2025. |
12.2024 | I was invited to serve as a member of the international program committee for the Shape Modeling International 2025. |
11.2024 | I was invited to serve as a member of the international program committee for the Eurographics Symposium on Geometry Processing 2025. |
more... |
Selected Publications
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ECCV
To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer LearningIn European Conference on Computer Vision 2024 -
CVPR
Generalizable Local Feature Pre-training for Deformable Shape AnalysisIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 -
NeurIPS
Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape MatchingIn Neural Information Processing Systems 2022 -
CG&A
Fast Sketch Segmentation and Labeling with Deep LearningIEEE Computer Graphics and Applications 2018