Previously, I reveiced my B.Sc. in Computer Science and M.Sc. in Computer and Information Science from the University of Konstanz. There, I worked on depth estimation from light field data with variational optimization methods and wrote my Master thesis about "Regularizers for a Sublabel-Accurate Variational Lifting Framework" under supervision of Prof. Dr. Bastian Goldlücke. During my B.Sc. studies, I did an internship at NICTA (now Data61) in Canberra, Australia under supervision of Prof. Fatih Porikli.
In Proceedings IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR) 2020, June 2020, to appear (inproceedings) Accepted
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems