Lei Li

3D AI Lab, Technical University of Munich, Germany

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Lei Li is a postdoctoral researcher working with Prof. Angela Dai at the 3D AI Lab, Technical University of Munich, Germany. Previously, he worked as a postdoctoral researcher with Prof. Maks Ovsjanikov from 2020 to 2022 at LIX, École Polytechnique / Inria, France. Lei earned his Ph.D. degree in computer science and engineering (2020) from The Hong Kong University of Science and Technology, and his B.Eng. degree in software engineering (2014) from Shandong University, China. He was a research intern at Alibaba A.I. Labs (2018) and Megvii Research (2019). His Ph.D. thesis advisor is Prof. Chiew-Lan Tai, and he also works closely with Prof. Hongbo Fu. Lei’s research interests are Computer Graphics and Computer Vision, with a focus on geometric deep learning for shape analysis.

News

02.2024 Our work GenZI: Zero-Shot 3D Human-Scene Interaction Generation has been accepted by CVPR 2024.
01.2024 I was invited to serve as a member of the technical papers committee for the 2024 Eurographics Symposium on Geometry Processing.
07.2023 I gave an invited talk, titled Towards Robust Shape Correspondence: Learning with Receptive Field Optimization, in the Group of Geometric Computation and Visualisation led by Prof. Shengjun Liu at Central South University, China.
03.2023 Postdoc at 3D AI Lab, Technical University of Munich.
02.2023 Our work Generalizable Local Feature Pre-training for Deformable Shape Analysis has been accepted by CVPR 2023 and selected as a highlight (10% of accepted papers, 2.5% of submissions).
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Selected Publications

  1. CVPR
    GenZI: Zero-Shot 3D Human-Scene Interaction Generation
    Lei Li, and Angela Dai
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024
  2. CVPR
    Generalizable Local Feature Pre-training for Deformable Shape Analysis
    Souhaib Attaiki,  Lei Li, and Maks Ovsjanikov
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023
  3. NeurIPS
    Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching
    Lei Li, Nicolas Donati, and Maks Ovsjanikov
    In Neural Information Processing Systems 2022
  4. TVCG
    WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration
    Lei Li, Hongbo Fu, and Maks Ovsjanikov
    IEEE Transactions on Visualization and Computer Graphics 2022
  5. CVPR
    PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency
    Xuyang Bai, Zixin Luo, Lei Zhou, Hongkai Chen,  Lei Li, Zeyu Hu, Hongbo Fu, and Chiew-Lan Tai
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021
  6. CVPR
    End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds
    Lei Li, Siyu Zhu, Hongbo Fu, Ping Tan, and Chiew-Lan Tai
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020
  7. TVCG
    Sketch-R2CNN: An RNN-Rasterization-CNN Architecture for Vector Sketch Recognition
    Lei Li, Changqing Zou, Youyi Zheng, Qingkun Su, Hongbo Fu, and Chiew-Lan Tai
    IEEE Transactions on Visualization and Computer Graphics 2020
  8. CG&A
    Fast Sketch Segmentation and Labeling with Deep Learning
    Lei Li, Hongbo Fu, and Chiew-Lan Tai
    IEEE Computer Graphics and Applications 2018