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.
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 Awards and Achievements
Current Students and Candidate Collaboration (Masters and Doctorate)
Intern and External Informal Collaborators
Advisor, Co-Advisors and CVL Lab Assistant
[Year 2021] Publications
[CVPR 21] Uncalibrated Neural Inverse Rendering for Photometric Stereo of General SurfacesAuthors: 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