Lei Li
3D AI Lab, Technical University of Munich, Germany
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 received 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 neural shape analysis.
News
02.2024 | Our work GenZI: Zero-Shot 3D Human-Scene Interaction Generation has been accepted by CVPR 2024. |
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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). |
more... |
Selected Publications
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CVPRGeneralizable Local Feature Pre-training for Deformable Shape AnalysisIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023
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NeurIPSLearning Multi-resolution Functional Maps with Spectral Attention for Robust Shape MatchingIn Neural Information Processing Systems 2022
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CG&AFast Sketch Segmentation and Labeling with Deep LearningIEEE Computer Graphics and Applications 2018