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李胜涛 (Shengtao Li)

lishengtao2017@gmail.com

Google Scholar / GitHub

About Me

I am a PhD student at School of Software, Tsinghua University, supervised by Prof. Ming Gu. My research focuses on 3D point cloud implicit reconstruction and applications of point clouds in BIM technology. My research interests include surface reconstruction, neural implicit representations, and deep learning applications in 3D geometry processing.

I received my Bachelor's degree from School of Software, Tsinghua University in 2021.

Publications

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GridFormer: Point-Grid Transformer for Surface Reconstruction
Shengtao Li, Ge Gao*, Yudong Liu, Yu-Shen Liu, Ming Gu
AAAI Conference on Artificial Intelligence (AAAI), 2024
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Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds
Shengtao Li, Ge Gao*, Yudong Liu, Ming Gu, Yu-Shen Liu
European Conference on Computer Vision (ECCV), 2024
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I-Filtering: Implicit Filtering for Learning Neural Distance Functions from 3D Point Clouds
Shengtao Li, Yudong Liu, Ge Gao*, Ming Gu, Yu-Shen Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
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Dataset and Benchmark for As-built BIM Reconstruction from Real-world Point Cloud
Yudong Liu, Han Huang, Ge Gao*, Ziyi Ke, Shengtao Li, Ming Gu
Automation in Construction, 2025
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A Redundancy-free IFC Storage Platform For Multi-model Scenarios based on Block Hash
Shengtao Li, Ge Gao*, Wei Wang, Han Liu, Shiyang Zhu, Ming Gu
EG-ICE International Workshop on Intelligent Computing in Engineering, 2022

Competition

  • CVPR Workshop Computer Vision in the Built Environment 2022
  • • 2D Floor Plan Reconstruction (Rank 1st) - Shengtao Li, Gaoming Fan, Han Huang, Hairong Luo, Ge Gao, Ming Gu
  • • 3D Building Model Reconstruction (Rank 1st) - Han Huang, Gaoming Fan, Shengtao Li, Ge Gao, Ming Gu