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
01.2023 | I gave an invited talk, titled Towards Robust Geometric Deep Learning for Shape Correspondence, as part of the Dell Technical Generations Series Talk organized by Dell Technologies, Shanghai. |
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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. |
more... |
Selected Publications
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CG&A
Fast Sketch Segmentation and Labeling with Deep LearningIEEE Computer Graphics and Applications 2018