Suryansh Kumar

Résumé (updated July 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

[07-2022] Two research paper got accepted for publication at ECCV 2022.

[05-2022] Invited talk at Google Developer Student Club, Zurich.

[03-2022] Two research paper and one workshop paper got 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 got accepted for publication at RAL 2022, ICRA 2022.

[07-2021] Two research paper got accepted for publication at WACV 2022.

[03-2021] One research paper got accepted for publication at CVPR 2021.

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.

Stanhope Jackson (M.S) ETH Zurich, (Aug. 22-).
[Topic]: Active 3D Reconstruction.

Junting Chen (M.S) ETH Zurich, (Mar. 22-).
[Topic]: Active SLAM.

Weirong Chen (M.S) ETH Zurich, (Setp. 21-).
[Topic]: Dense 3D Reconstruction of Indoor Scenes.

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.
(Interning at Apple Zurich, Summer 22.)

External Students or Informal Collaboration and Advise.

Yasaman Haghighi [MS Thesis] M.S, EPFL (Sept. 22-).
[Topic]: Visual SLAM.

Nishant Jain [IC] BS, IIT Roorkee (Mar. 22-).
[Topic]: Image based rendering.

Guohao Li [IC] Ph.D. KAUST, (May. 21-).
[Topic]: Active 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.

Selected Recent Publication

Organic Priors in Non-Rigid Structure from Motion.

Authors: Suryansh Kumar, Luc Van Gool.
European Conference on Computer Vision (ECCV), 2022, Tel-Aviv, Israel.
Oral Presentation

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.

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.

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.

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.

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.

Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces

Authors: Berk Kaya, Suryansh Kumar, Carlos Oliveira, Vittorio Ferrari, Luc Van Gool.
Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2021, Nashville, USA.

Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene

Authors: Suryansh Kumar, Yuchao Dai, Hongdong Li.
Transactions on Pattern and Machine Intelligence (T-PAMI), IEEE, 2021.