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Bio
Lei Li is a tenure-track Assistant Professor at the School of Data Science, University of Virginia. Before joining UVA in 2025, he was a postdoctoral researcher at the Technical University of Munich, working with Prof. Angela Dai, and at École Polytechnique / Inria, working with Prof. Maks Ovsjanikov. Lei received his PhD in Computer Science and Engineering (2020) from the Hong Kong University of Science and Technology, and his BEng in Software Engineering (2014) from Shandong University. His PhD thesis advisor was Prof. Chiew-Lan Tai. Lei's research interests are in computer vision and computer graphics, with a focus on advancing machine spatial intelligence to perceive, understand, and interact with the 3D world.
Open Positions
Our Spatial AI Lab (SAIL) is always looking for highly motivated PhD students and postdocs to work on impactful research at the intersection of computer vision, computer graphics, and artificial intelligence. If you are interested in joining us, please fill out this application form. More application details can be found in the openings flyer. PhD applicants must also apply to the UVA School of Data Science PhD Program.
Selected Publications
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View All →I gave an invited talk at the Datapalooza 2025.
Our work PUFM: Efficient Point Cloud Upsampling via Flow Matching has been accepted by AAAI 26.
I will give keynote talks at two workshops at ICCV 2025: 2nd Edition of Workshop on Foundation Models for V2X-Based Cooperative Autonomous Driving and 1st Workshop on Generating Digital Twins from Images and Videos.
I will serve as an Area Chair for CVPR 2026.
I joined the School of Data Science at the University of Virginia as a tenure-track Assistant Professor.
Our work DiffuMatch: Category-Agnostic Spectral Diffusion Priors for Robust Non-rigid Shape Matching has been accepted by ICCV 2025.
Our work MeshPad: Interactive Sketch-Conditioned Artist-Reminiscent Mesh Generation and Editing has been accepted by ICCV 2025.
I was invited to serve as a member of the program committee for Pacific Graphics 2025.
Our work MeshArt: Generating Articulated Meshes with Structure-Guided Transformers has been accepted by CVPR 2025.
Our work LT3SD: Latent Trees for 3D Scene Diffusion has been accepted by CVPR 2025.
