Suryansh
 
Computer Vision Lab, ETH Zurich
Résumé (updated March 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

[05-2022]   Invited talk at Google Developer Student Club, Zurich.
[05-2022]   I'm looking for a couple of intern for six months or ETH MS thesis student to work on light based surface modeling.
[03-2022]   Two research 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.
[04-2021]   One research paper got accepted for publication at IJCAI 2021.
[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)

  • Junting Chen (M.S) ETH Zurich, (Mar. 22).
    [Topic]: Active SLAM.
  • Vincent van der Brugge (M.S) ETH Zurich, (Mar. 22).
    [Topic]: Contextual 3D Vision.
  • Stanhope Jackson (M.S) ETH Zurich, (Feb. 22-).
    [Topic]: Object level active 3D reconstruction.
  • Miao Yang (M.S) ETH Zurich, (Feb.22-).
    [Topic]: Large scale 3D data acquisition.
  • Weirong Chen (M.S) ETH Zurich, (Setp. 21-).
    [Topic]: Dense 3D Reconstruction of Indoor Scenes.
  • Guohao Li (KAUST), visiting researcher at ETH Zurich, (May. 21-).
    [Topic]: Active 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.
    (Interning at Apple Zurich, Summer 22.)

Intern and External Informal Collaborators

  • Xiaohan Lei [Intern] BS, USTC China (Apr. 22-).
    [Topic]: Large scale 3D reconstruction.
  • Han Yao Choong [EIC] MS, ETH Zurich (Mar. 22-).
    [Topic]: Neural Architecture Search.
  • Nishant Jain [EIC] BS, IIT Roorkee (Mar. 22-).
    [Topic]: Image based rendering.
  • Sarno Francesco [Intern] CVL, ETH Zurich (May. 21-Nov. 21).
    [Topic]: Photometric Stereo (concluded with two publication at IEEE/CVF WACV 22).

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.

Recent Publication

[CVPR 22] 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, IEEE, 2022, New Orleans, USA.

  Project Website     Topic: 3D Computer Vision, Machine Learning
[CVPR 22] Generative Flows with Invertible Attentions
Authors: Rhea Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool.
Conference on Computer Vision and Pattern Recognition, IEEE, 2022, New Orleans, USA.

  Project Website     Topic: Generative Models, Image Processing
[ICRA 22] 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, IEEE, 2022, Philadelphia, USA.
Robotics and Automation Letter (RA-L), IEEE, 2022.

  Project Website     Topic: 3D Computer Vision, Machine Learning.
[WACV 22] 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, IEEE, 2022, Hawaii, USA.

  Project Website     Topic: 3D Computer Vision, Machine Learning.
[WACV 22] 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, IEEE, 2022, Hawaii, USA.

  Project Website     Topic: 3D Computer Vision, Machine Learning.
[CVPR 21] 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, IEEE, 2021, Nashville, USA.

  Project Website     Topic: 3D Computer Vision, Machine Learning
[IJCAI 21] Neural Architecture Search of SPD Manifold Networks
Authors: Rhea Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron. E, Yan Wu, Luc Van Gool.
International Joint Conference on Artificial Intelligence, 2021, Montreal, Canada.

  Project Website     Topic: AutoML, Matrix Manifolds
[T-PAMI 21] Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene
Authors: Suryansh Kumar, Yuchao Dai, Hongdong Li.
Transactions on Pattern and Machine Intelligence, IEEE, 2021.

  Project Website     Topic: 3D Computer Vision, Geometry