Suryansh Kumar

I am an Assistant Professor of Visual Computing and Computational Media at Texas A&M University College Station. I primarily conduct research in the field of 3D computer vision, Visual AI, and Robotic Automation. As a researcher, I am fascinated by how numerical construction can precisely represent the perceptual concepts of images, such as 3D scene geometry, motions, lights, material, and color. I aim to use these mathematical concepts to enable machines for a broader adoption using visual data. My fascination led me to explore well-developed computing fields like computer vision, artificial intelligence, computer graphics, and robotics. My research in computer vision and computer graphics aims to introduce new methods for visual representation learning, photogrammetry, and dynamic scene modeling. In AI and robotics, my research seeks to solve real-world robotic automation problems by leveraging the benefits of deep neural networks in learning visual representation and decision-making tasks.

Recent News

    Congratulations! Jeff Morris, Corte Guiherme for Interdisciplinary AI Seed Grant.

    Congratulations! Yeun Park for mini-grant award.

    Merit Award from the Dean of PVFA College at TAMU.

    Data Science Course Development Awardee TAMU 2024.

    One research paper accepted for publication at ICRA 2024.

    One research article accepted for publication at IJCV 2024.

Selected Publications

Recent Awards and Achievements

    • Received AI Seed Grant for Research and Creative Works from the College of PVFA.

    • Merit Award from the Dean of PVFA College at TAMU.

    • Second-place winner for the  SpaceTime student design competition SIGGRAPH 2024.

    • Texas A&M Institute of Data Science (TAMIDS) Course Development Awardee for 2024.

    • Successfully concluded Google Focused Research Project in Nov'22. Co-authored with Prof. Luc Van Gool and Prof. Vittorio Ferrari.

    • Nominated for J. G. Crawford Prize at ANU for Best Interdisciplinary Ph.D. Thesis 2019.

    • Australian National University Vice-Chancellor Grant Award.

    • Best Algorithm Award in CVPR NRSFM Challenge 2017 by Disney Research.

    • ANU-HDR Merit Scholarship Student Award, funded in part by The Australian Research Council.

Current Students (Masters and Doctorate)

  1. Name
    Mainak Sarkar Ph.D. (Texas A&M University)
    Role
    Topic: 3D Data-Acquisition
    Date
  2. Name
    Fred Cui M.S (Texas A&M University)
    Role
    Topic: Gesture Analysis
    Date
  3. Name
    Yunxiao Zhang M.S (Texas A&M University)
    Role
    Topic: Neural Rendering Methods
    Date
  4. Name
    Alyssa Cassity M.S (Texas A&M University)
    Role
    Topic: Deep Reinforcement Learning
    Date
  5. Name
    Yeun Park M.S (Texas A&M University)
    Role
    Topic: 3D from Images for Motion Capture System.
    Date
  6. Name
    Yanwen Chen M.S (Texas A & M University)
    Role
    Topic: Human-Robot Interaction
    Date

External Students or Informal Collaboration

  1. Name
    Danilo Dordevic M.S (ETH Zurich)
    Role
    Topic: Image Retrieval
    Date