• [2018.10] Our paper "Intrinsic Shape Matching via Tensor-based Optimization" is accepted to Computer-Aided Design.
  • [2018.08] Our paper "Mesh Denoising Guided by Patch Normal Co-filtering via Kernel Low-rank Recovery" is accepted to IEEE Transactions on Visualization and Computer Graphics.
  • [2018.07] Dening, Jingxuan, Jinxuan, Zhenghao, Sen, Yingying joined us. Welcome!
  • [2018.06] Prof. Ming-Ming Cheng from Nankai University visited us and gave a talk on “Learning Pixel Accurate Image Segmentation from Web”.
  • [2018.06] Our paper "Constructing 3D CSG Models from 3D Raw Point Clouds" is accepted to Computer Graphics Forum (SGP 2018).
  • [2018.04] Our paper "Automatic 3D Reconstruction of Electrical Substation Scene from LiDAR Point Cloud" is accepted to ISPRS Journal of Photogrammetry and Remote Sensing.
  • [2018.03] Our paper "Bas-Relief Modeling from Normal Layers" is accepted to IEEE Transactions on Visualization and Computer Graphics.
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Join Us

If you are interested in digital geometry processing, large-scale 3D data processing, 3D scene analysis and understanding, or 3D measurement and inspection, and would like to join the group as a master or PhD student, postdoc or visiting researcher, please contact Prof. Jun Wang ( to discuss opportunities in the group.

About us

We study visual computing the computational principles on 3D data capturing, processing, reconstruction, and high-level 3D scene analysis and understanding. We are interested in building robot-based systems that automatically understand visual scenes, both inferring the semantics and modeling 3D structures.

At the moment, we focus on exploiting 3D geometry data for scene analysis, understanding and reconstruction (e.g. driven by RGB-D data, 3D point clouds, and polygonal mesh models). Additionally, we are also developing techniques on 3D measuring and inspection on industrial products and large-scale construction structures.