Congratulations! Jeff Morris, Corte Guiherme for Interdisciplinary AI Seed Grant.
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! Yeun Park for mini-grant award.
Merit Award from the Dean of PVFA College at TAMU.
Second-place winner for the SpaceTime student design competition SIGGRAPH 2024.
One research paper accepted for publication at ICML 2024, ECCV 2024.
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
Stereo Risk: A Continuous Modeling Approach to Stereo Matching
International Conference on Machine Learning (ICML), 2024, Vienna, Austria. [ Oral, Top 1.5% ]
Ce Liu*, Suryansh Kumar*, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool, (* Equal Contribution)
ICGNet: A Unified Approach for Instance-Centric Grasping
IEEE International Conference on Robotics and Automation (ICRA), 2024, Yokohama, Japan.
René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, and others
Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images
International Journal of Computer Vision (IJCV), 2024, IF: 19.5[ Oral, Invited ]
Nishant Jain, Suryansh Kumar*, Luc Van Gool
How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers
Robotics Science and Systems (RSS), RSS Foundation, 2023, Daegu, South Korea.
Junting Chen, Guohao Li, Suryansh Kumar*, and others
Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields
IEEE RAL, International Conference on Robotics and Automation (ICRA), 2023, London, UK. [ Oral ]
Soomin Lee, Le Chen, Jiahao Wang, Alex Liniger, Suryansh Kumar*, and others
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
International Conference on Learning Representations (ICLR), 2023, Kigali, Rwanda.[ Spotlight Oral, Top 25% ]
Ce Liu, Suryansh Kumar*, Shuhang Gu, Radu Timofte, Luc Van Gool
Uncertainty-Driven Dense Two-View Structure from Motion
IEEE RAL, International Conference on Intelligent Robots and Systems (IROS), 2023, Detroit, USA.[ Oral ]
Weirong Chen, Suryansh Kumar*, and others
Organic Priors in Non-Rigid Structure from Motion
European Conference on Computer Vision (ECCV), 2022, Tel-Aviv, Israel. [ Oral, Top 2.7% ]
Suryansh Kumar, Luc Van Gool
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Seg. of Indoor Scenes
IEEE RAL, International Conference on Robotics and Automation (ICRA), 2022, Philadelphia, USA.[ Oral ]
Davide Menini, Suryansh Kumar*, and others
Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure from Motion
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, CA, USA. [ Oral, Invited Dynavis'19 ]
Suryansh Kumar
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)
- Name
- Mainak Sarkar Ph.D. (Texas A&M University)
- Role
- Topic: 3D Data-Acquisition
- Date
- Name
- Fred Cui M.S (Texas A&M University)
- Role
- Topic: Gesture Analysis
- Date
- Name
- Yunxiao Zhang M.S (Texas A&M University)
- Role
- Topic: Neural Rendering Methods
- Date
- Name
- Alyssa Cassity M.S (Texas A&M University)
- Role
- Topic: Deep Reinforcement Learning
- Date
- Name
- Yeun Park M.S (Texas A&M University)
- Role
- Topic: 3D from Images for Motion Capture System.
- Date
- Name
- Yanwen Chen M.S (Texas A & M University)
- Role
- Topic: Human-Robot Interaction
- Date
External Students or Informal Collaboration
- Name
- Danilo Dordevic M.S (ETH Zurich)
- Role
- Topic: Image Retrieval
- Date