Suryansh
 
Computer Vision Lab, ETH Zurich
Résumé (updated Oct. 2022)
sukumar at vision dot ee.ethz.ch
     

I am a computer science researcher primarily focused on 3D computer vision. I work at the Computer Vision Lab in the Dept. of Information Technology and Electrical Engineering at ETH Zürich, where Prof. Dr. Luc Van Gool advises me. 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, and color. I aim to use these mathematical concepts to enable machines for a broader adoption using visual data. Presently, I supervise and work on projects that ETH Zürich Foundation and Google Zurich support. Before ETH Zürich, I was a HDR merit scholarship Ph.D. student at Australian National University (ANU), funded by the Australian Research Council. I received a Ph.D. in Engineering and Computer Science on the thesis titled Non-Rigid Structure from Motion, which was nominated for J. G. Crawford Prize at ANU for Best Ph.D. Thesis 2019.

Research Interests

Geometric Computer Vision, Mathematical Optimization, Abstract Algebra, Geometric AI and Robotics. From time to time, I also investigate topics such as graph theory, topological manifolds and compressed sensing.

Recent News

[10-2022]   Four papers accepted for publication, one at each venue: CoRL, RAL, BMVC, WACV.
[07-2022]   Two research papers accepted for publication at ECCV 2022.
[05-2022]   Invited talk at Google Developer Student Club, Zurich.
[03-2022]   Three research papers accepted for publication at CVPR 2022.
[02-2022]   Invited talk at Warren Grundfest Lecture series co-organized by UCLA and Caltech.
[01-2022]   One research paper accepted for publication at RAL, ICRA 2022.
[07-2021]   Two research papers accepted for publication at WACV 2022.

Recent Awards and Achievements

  • Invited Guest Editor for Frontiers in Robotics and AI.
  • 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 and Candidate Collaboration (Masters and Doctorate)

  • Han Yao Choong (M.S) ETH Zurich, (Sept. 22-).
    [Topic]: Quantum Machine Learning.
  • Ozgur Fikrican (M.S) ETH Zurich, (Sept. 22-).
    [Topic]: Robotic Manipulation.
  • Liu Pin-Tsen (M.S) ETH Zurich, (Sept. 22-).
    [Topic]: Visual SLAM.
  • Erik Sandström (Ph.D.), ETH Zurich, (Nov. 19-).
    [Topic]: Online dense 3D reconstruction.
  • Berk Kaya (Ph.D.), ETH Zurich, (Nov. 19-).
    [Topic]: Light physics based 3D reconstruction.

External Students or Informal Collaboration and Advise.

  • Yasaman Haghighi [MS Thesis] M.S, EPFL (Sept. 22-).
    [Topic]: Visual SLAM.
  • René Zurbrügg [Advise] Ph.D., ETH Zurich (July. 22-).
    [Topic]: Robotic Manipulation.
  • Tobias Fischer [Advise] Ph.D., ETH Zurich (May. 22-).
    [Topic]: Multi-modal data fusion for autonomous driving car.
  • Jelena Trisovic [Advise] Ph.D., ETH Zurich (Mar. 22-).
    [Topic]: Visual Perception and Control.

Advisor, Collaborators and Engineer

  • Luc Van Gool (Advisor, Instructor), CVL Lab Head and Full Professor at ETH Zurich, KU Leuven.
  • Vittorio Ferrari (Co-Advisor), Scientist Google Research and Honorary Professor at University of Edinburgh.
  • Fisher Yu (Collaborator), Assistant Professor at ETH Zurich.
  • Radu Timofte (Collaborator), Professor at University of Würzburg.
  • Zhiwu Huang (Collaborator), Assistant Professor at SMU Singapore.
  • Carlos Oliveira Graphics Designer, CVL Lab ETH Zurich.

Publication in the year 2022

Multi-View Photometric Stereo Revisited
Authors: Berk Kaya, Suryansh Kumar, Carlos Oliveira, Vittorio Ferrari, Luc Van Gool.
Winter Conference on Computer Vision (WACV), IEEE, 2023, Hawaii, USA.

  Project Website     Topic: 3D Computer Vision, Machine Learning.
Robustifying the Multi-Scale Representation of Neural Radiance Fields
Authors: Nishant Jain, Suryansh Kumar, Luc Van Gool. (Oral Presentation)
British Machine Vision Conference (BMVC), 2022, London, UK.

  Project Website     Topic: 3D Computer Vision, View Synthesis, Neural Rendering.
Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields
Authors: Soomin Lee, Le Chen, Jiahao Wang, Alexander Liniger, Suryansh Kumar, Fisher Yu.
Robotics and Automation Letter (RAL), IEEE, 2022.

  Project Website     Topic: 3D Computer Vision, Robotics, Information Theory.
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion
Authors: Yung-Hsu Yang, Tobias Fischer, Suryansh Kumar, Min Sun, Fisher Yu.
Conference on Robot Learning (CoRL), 2022, Auckland, New Zealand.

  Project Website (Soon)     Topic: Tracking, 3D Computer Vision, Machine Learning.
Organic Priors in Non-Rigid Structure from Motion
Authors: Suryansh Kumar, Luc Van Gool. (Oral Presentation)
European Conference on Computer Vision (ECCV), 2022, Tel-Aviv, Israel.

  Project Website     Topic: 3D Computer Vision, Algebra, Geometry, Compressed Sensing.
Learning Online Multi-Sensor Depth Fusion
Authors: Erik Sandström, Martin Oswald, Suryansh Kumar, Silvan W, Fisher Yu, Cristian. S, Luc Van Gool.
European Conference on Computer Vision (ECCV), 2022, Tel-Aviv, Israel.

  Project Website     Topic: 3D Computer Vision, Machine Learning
Uncertainty Aware Deep Multi-View Photometric Stereo
Authors: Berk Kaya, Suryansh Kumar, Carlos Oliveira, Vittorio Ferrari, Luc Van Gool.
Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2022, New Orleans, USA.

  Project Website     Topic: 3D Computer Vision, Machine Learning
Generative Flows with Invertible Attentions
Authors: Rhea Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool.
Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2022, New Orleans, USA.

  Project Website     Topic: Generative Models, Image Processing
Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution
Authors: Yan Wu, Zhiwu Huang, Suryansh Kumar, Rhea Sukthanker, Radu Timofte, Luc Van Gool.
Third Workshop on Neural Architecture Search: 2nd Lightweight NAS Challenge.
Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2022, New Orleans, USA.

  Project Website     Topic: AutoML, Image Processing
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Seg. of Indoor Scenes
Authors: Davide Menini, Suryansh Kumar, Martin R Oswald, Erik Sandstrom, Cristian Sminchisescu, Luc Van Gool.
International Conference on Robotics and Automation (ICRA), IEEE, 2022, Philadelphia, USA.
Robotics and Automation Letter (RAL), IEEE, 2022.

  Project Website     Topic: 3D Computer Vision, Machine Learning.
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo.
Authors: Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool.
Winter Conference on Applications of Computer Vision (WACV), IEEE, 2022, Hawaii, USA.

  Project Website     Topic: 3D Computer Vision, Machine Learning.
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo.
Authors: Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool.
Winter Conference on Applications of Computer Vision (WACV), IEEE, 2022, Hawaii, USA.

  Project Website     Topic: 3D Computer Vision, Machine Learning.