Xingdi Zhang (张星迪)

Education

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

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

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

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

Publications

  • MS THESIS: An Interactive Exploration System for Physically-ObservableObjective Vortices in Unsteady 2D Flow
    [PDF]

      I am glad that the thesis was reviewed by a very professional commitee: my supervisor Markus, prof Helmut Pottmann and Ivan Viola.
  • 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]   [Code]  [video]
  • BS THESIS:知识驱动的聊天机器人系统设计与实现 (A knowledge-driven dialogue system design and implementation)
      This is a deep learning (transformer) based NLP dialogue system.
  • 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]

    • Software

  • Surface Normal ToolKit:Code for preprocess data (for paper Deep Surface Normal Guided Depth Prediction for Outdoor Secene from Sparce Lidar Data and Single Color Image)
  • Toturial of opencv: implementations of some famous traditional computer vision algorithms
  • Graphics pipeline/ray-tracing system:C++ implemented renderer, support soft shadows,BVH tree,stratified super sampling,etc.

    • Honor

    国家奖学金(national scholarship of China), 2018-2019

    Servise

  • Volunteer: Vcc Open week (VR experience for flow visualization) -Nov29,2021

    • Intern

    Contact Me

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