CGIT Lab

Research Highlights

  • Qiangeng Xu, Xudong Sun, Cho-ying Wu, Panqu Wang, Ulrich Neumann “Grid-GCN for Fast and Scalable Point Cloud Learning” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. “Grid-GCN for Fast and Scalable Point Cloud Learning”
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020.
  • Cho-Ying Wu, Xiaoyan Hu, Michael Happold, Qiangeng Xu, Ulrich Neumann “Geometry-Aware Instance Segmentation with Disparity Maps” IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2020. “Geometry-Aware Instance Segmentation with Disparity Maps”
    IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2020.
  • “DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction” Neural Information Processing Systems (NIPS), 2019. “DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction”
    Neural Information Processing Systems (NIPS), 2019.
  • Yiqi Zhong*, Cho-Ying Wu*, Suya You, Ulrich Neumann (*Equal Contribution) “Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion” Neural Information Processing Systems (NIPS), 2019. “Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion”
    Neural Information Processing Systems (NIPS), 2019.
  • Cho-Ying Wu, Ulrich Neumann “Salient Building Outline Enhancement and Extraction Using Iterative L0 Smoothing and Line Enhancing” IEEE Internation Conference on Image Processing (ICIP), 2019. “Salient Building Outline Enhancement and Extraction Using Iterative L0 Smoothing and Line Enhancing”
    IEEE Internation Conference on Image Processing (ICIP), 2019.
  • Qiangeng Xu, Hanwang Zhang, Weiyue Wang, Peter N. Belhumeur, Ulrich Neumann “Stochastic Dynamics for Video Infilling” IEEE Winter Conference on Computer Vision (WACV), 2020 “Stochastic Dynamics for Video Infilling”
    IEEE Winter Conference on Computer Vision (WACV), 2020

Computer Graphics and Immersive Technologies Laboratory

The Computer Graphics and Immersive Technologies (CGIT) laboratory pursues research and development efforts related to processing, producing, and interacting with images. The fields of computer graphics, computer vision, and immersive technologies all fall within the scope. Activities in the lab range from fundamental algorithms and mathematical methods to systems and application prototypes. Interdisciplinary research is driven by realistic needs and problems.