Xingdi Zhang (张星迪)

Education

B.E. in Computer Science(Yingcai Honor School).   September, 2016 – June, 2020
University of Electronic Science and Technology of China (UESTC), Chengdu, China

Ms/Ph.D in Computer Science.   September, 2020 – until now
King Abdullah University of Science & Technology (KAUST), Jeddah, Saudia arabia.

Currently I am a PHD student at KAUST, working in flow visualization and graphics, under the supervision of professor Markus Hadwiger.
Links to VCC: VCC_AT_KAUST , to HPVC group:High performance visualization group

My research areas include: computer vision, graphics, flow visualization, differential geometry and mathematical physics.

Publications

  • Pix4Point: Image Pretrained Transformers for 3D Point Cloud Understanding
      Guocheng Qian, Xingdi Zhang, Abdullah Hamdi, Bernard Ghanem
     (Arxiv preprint)
  • MS THESIS: An Interactive Exploration System for Physically-ObservableObjective Vortices in Unsteady 2D Flow
      I am glad that the thesis was reviewed by a very professional commitee: my supervisor Markus, prof Helmut Pottmann and Ivan Viola.
      [PDF]
  • Interactive Exploration of Physically-Observable Objective Vortices in Unsteady 2D Flow (Honorable Mention Best Paper!)
      Xingdi Zhang , Markus Hadwiger, Thomas Theußl and Peter Rautek
      IEEE Transactions on Visualization and Computer Graphics(TVCG), Vol.28, No.2 (Proceedings IEEE VIS 2021)
     [Paper]   [video]
  • DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image
      Jiaxiong Qiu*, Zhaopeng Cui*, Yinda Zhang*, Xingdi Zhang, Shuaicheng Liu, Bing Zeng, Marc Pollefeys
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
      [Paper]   [Code]
  • Multi-exposure Fusion with JPEG Compression Guidance
      Xingdi Zhang,Shuaicheng Liu,Shuyuan Zhu,Bing, Zeng
      IEEE Visual Communications and Image Processing (VCIP), 2018
      [Paper]   [Code]

    • Softwares

  • Surface Normal ToolKit: Code for preprocessing Lidar data for paper Deep Surface Normal Guided Depth Prediction for Outdoor Secene from Sparce Lidar Data and Single Color Image.
  • Toturial of opencv: C++ implementations of some famous traditional computer vision algorithms.
  • Graphics pipeline/ray-tracing system: C++ implemented software renderer, support soft shadows,BVH tree,stratified super sampling, procedual landmass generation, etc.
  • Geometry Modeling & Processing: C++ implemented discrete geometery project, features including: approximation/interpolation of B-spline/Bezier Curves, discrete gauss-bonet, remesh/Laplacian smoothing of mesh, constrained quad mesh optimization, etc.

    • Honor

  • 国家奖学金(National Scholarship of China) - Ministry of Education of PRC.   Dec, 2019
  • Dean’s Academic Excellence Award -KAUST.   Aug, 2022

    • Service

  • Volunteer: Vcc Open week (VR experience for flow visualization).   Nov, 2021
  • Reviewer: Computers & Graphics (Journal).   May, 2022

    • Intern

  • Graphics Engine Intern, Huawei Suomi (Tampere, Finland)   Jun, 2022 - Nov, 2022

    • Contact Me

    Emali:
    cindyzhang.yono531@gmail.com
    XINGDI.ZHANG@KAUST.EDU.SA
    Github   linkedin