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
Recent Awards and Achievements
Current Students and Candidate Collaboration (Masters and Doctorate)
[Topic]: Quantum Machine Learning.
[Topic]: Robotic Manipulation.
[Topic]: Visual SLAM.
[Topic]: Active 3D Reconstruction.
[Topic]: Active SLAM.
[Topic]: Dense 3D Reconstruction of Indoor Scenes.
[Topic]: Online dense 3D reconstruction.
[Topic]: Light physics based 3D reconstruction.
(Interning at Apple Zurich, Summer 22.)
External Students or Informal Collaboration and Advise.
[Topic]: Visual SLAM.
[Topic]: Image based rendering.
[Topic]: Active SLAM.
[Topic]: Robotic Manipulation.
[Topic]: Multi-modal data fusion for autonomous driving car.
[Topic]: Visual Perception and Control.
Advisor, Collaborators and Engineer
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
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.
Project Website Topic: 3D Computer Vision, Machine Learning.

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

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.
Project Website Topic: 3D Computer Vision, Geometry