Lei LI

LIX, École Polytechnique / Inria, France

Lei Li is currently a postdoc working with Prof. Maks Ovsjanikov at LIX, École Polytechnique / Inria, France. He received the Ph.D. degree in computer science and engineering (2020) from The Hong Kong University of Science and Technology, and the 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. His research interests lie at the intersection of Computer Graphics, Computer Vision, and deep learning, with emphasis on large‐scale geometric data analysis including 3D shape and 2D freehand sketch data.

News

09/2022 Our work Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching has been accepted by NeurIPS 2022.
08/2022 Our work SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence has been accepted by 3DV 2022.
03/2022 Our work WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration has been accepted by IEEE Transactions on Visualization and Computer Graphics.
03/2021 Our work PointDSC: Robust Point Cloud Registration Using Deep Spatial Consistency has been accepted by CVPR 2021.
11/2020 Postdoc at LIX, École Polytechnique / Inria.
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Selected Publications

  1. 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
  2. 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
  3. 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
  4. 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
  5. CG&A
    Fast Sketch Segmentation and Labeling with Deep Learning
    Lei Li, Hongbo Fu, and Chiew-Lan Tai
    IEEE Computer Graphics and Applications 2018