Suryansh
 
Computer Vision Lab, ETH Zurich
Résumé (updated April 2021)
sukumar at vision dot ee.ethz.ch
     

I am a computer science researcher primarily focused in the areas of 3D computer vision. Presently, I hold the position of Professorship for Computer Vision in the Dept. of Information Technology and Electrical Engineering at ETH Zürich, where I am advised by Prof. Dr. Luc Van Gool. I received Ph.D. in Engineering and Computer Science from Australian National University on the topic Non-Rigid Structure from Motion. 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. Therefore, I aim to use these mathematical concepts to enable machines for a broader adoption using visual data. Presently, I work on the projects that are supported by ETH Zürich Foundation and Google Zurich.

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

[04-2021]   One of our research work got accepted for publication at IJCAI 2021.
[03-2021]   One of our research work got accepted for publication at CVPR 2021.
[03-2020]   One of our research work got accepted for publication at WACV 2020.
[02-2020]   Nominated for J. G. Crawford Prize at ANU for Best Ph.D. Thesis 2019.
[12-2019]   One of our research work got accepted for publication at T-PAMI 2019.
[11-2019]   Joined Computer Vision Lab at ETH Zurich, advised by Prof. Dr. Luc van Gool.
[10-2019]   Declined Post-Doctoral offer from University of Oxford.
[06-2019]   Invited talk at Dynavis CVPR 2019 to present my work Jumping Manifolds (MoJu).
[03-2019]   One of our research work got accepted for publication at CVPR 2019.

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)

  • Noah Rothenberger (M.S) ETH Zurich, Previously worked at: NASA JPL and Caltech USA (Sept. 21-). Topic: Tactile-Kinesthetic Intelligence.
  • Chuqiao Li (M.S) ETH Zurich, (Sept. 21-). Topic: Improving 3D Reconstruction.
  • Guohao Li (KAUST), visiting researcher at ETH Zurich (May. 21-). Topic: Active SLAM.
  • Jiahao Wang (M.S), ETH Zurich (May 21-). Topic: Study LoCoBot (Hardware, Software).
  • Soomin Lee (M.S), ETH Zurich (May 21-). Topic: Study LoCoBot (Hardware. Software).
  • Erik Sandström (Ph.D), ETH Zurich (Nov. 19-). Topic: 3D Vision.
  • Berk Kaya (Ph.D), ETH Zurich (Nov. 19-). Topic: 3D Vision.

Intern and External Informal Collaborators

  • Sarno Francesco [Intern] CVL, ETH Zurich (May. 21-). Topic: View-Synthesis.
  • Yang Xiao [EIC] Dept. of Mathematics, ETH Zurich (April. 21-). Topic: Application of Modern Number Theory.
  • Nishant Jain [EIC] CSE IIT Roorkee, Edinburgh‑Paris Virtual Quantum Lab. Previously: Harvard University (May. 21-). Topic: View-Synthesis.

Advisor, Co-Advisors and CVL Lab Assistant

  • Luc Van Gool (Advisor, Instructor), CVL Lab Head ETH Zurich, PSI KU Leuven.
  • Vittorio Ferrari (Co-Advisor), Research Scientist, Google Research Zurich.
  • Fisher Yu (Co-Advisor), Visual Intelligence and Systems Group Leader, ETH Zurich.
  • Radu Timofte (Co-Advisor), Augmented Perception Research Group Leader, ETH Zurich.
  • Zhiwu Huang (Co-Advisor), Researcher, CVL Lab ETH Zurich and Asst. Prof. at SMU Singapore.
  • Alex Liniger (Co-Advisor), Senior Researcher, CVL Lab ETH Zurich.
  • Carlos Oliveira Graphics Designer, CVL Lab ETH Zurich.

[Year 2021] Publications

[arXiv 21] Generative Flows with Invertible Attentions
Authors: Rhea Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc van Gool.
Preprint 2021

  Project Website (Coming Soon)     Topic: Generative Models, Image Processing
[arXiv 21] Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution
Authors: Yan Wu, Zhiwu Huang, Suryansh Kumar, Rhea Sukthanker, Radu Timofte, Luc van Gool.
Preprint 2021

  Project Website (Coming Soon)     Topic: AutoML, Image Processing
[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, 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