Data Science Course Development Awardee TAMU 2024.
Suryansh Kumar
I am an Assistant Professor and a Researcher primarily focused in the field of 3D computer vision, Visual AI and Automation. Presently, I work in the Visual Computing and Computational Media Section at Texas A & M University, College Station Texas. As a researcher, I am fascinated by how mathematical 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.
Recent News
One research paper accepted for publication at ICRA 2024.
One research article accepted for publication at IJCV 2024.
One research paper accepted for publication at IROS 2023.
One research paper accepted for publication at RSS 2023.
Three research papers accepted for publication at CVPR 2023.
Three research papers accepted for publication, one at each venue: ICLR, ICRA, RAL 2023.
Selected Recent Publications
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
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
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Vancouver, Canada.
Ce Liu, Suryansh Kumar*, Shuhang Gu, Radu Timofte, Luc Van Gool
Enhanced Stable View-Synthesis
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Vancouver, Canada.
Nishant Jain*, Suryansh Kumar*, Luc Van Gool
Quantum Annealing for Single Image Super-Resolution
8th New Trends in Image Restoration and Enhancement Workshop and Challenges (NTIRE)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Vancouver, Canada.
Han Yao Choong, Suryansh Kumar*, Luc Van Gool
Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields
IEEE International Conference on Robotics and Automation (ICRA), 2023, London, UK.
Soomin Lee, Le Chen, Jiahao Wang, Alex Liniger, Suryansh Kumar*, and others, (Oral Presentation)
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
International Conference on Learning Representations (ICLR), 2023, Kigali, Rwanda.
Ce Liu, Suryansh Kumar*, Shuhang Gu, Radu Timofte, Luc Van Gool, (Spotlight Oral Presentation)
Organic Priors in Non-Rigid Structure from Motion
European Conference on Computer Vision (ECCV), 2022, Tel-Aviv, Israel.
Suryansh Kumar, Luc Van Gool, (Oral Presentation)
Uncertainty Aware Deep Multi-View Photometric Stereo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022, New Orleans, USA.
Berk Kaya, Suryansh Kumar*, Carlos Oliveira, Vittorio Ferrari, Luc Van Gool
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Seg. of Indoor Scenes
IEEE International Conference on Robotics and Automation (ICRA), 2022, Philadelphia, USA.
Davide Menini, Suryansh Kumar*, Martin Oswald, Erik Sandstrom, Cristian S, Luc Van Gool, (Oral Presentation)
Recent Awards and Achievements
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
- Yanwen Chen M.S (Texas A & M University)
- Role
- Topic: Human-Robot Interaction
- Date