My research focus is robust and efficient 3D human understanding. Among others, I am excited about research on holistic capture of humans in context, as well as uncertainty-aware semi- and self-supervised learning for human-related tasks.
I did my PhD in Prof. Bastian Leibe’s Computer Vision Group at RWTH Aachen University in Germany. That work was funded in part through a scholarship of the Bosch Research Foundation. My methods have won 3D human pose estimation competitions at ECCV 2018 and 2020, and I have received Outstanding Reviewer Awards at CVPR 2021 and 2022.
Before that, I completed my master’s in Computer Science also at RWTH Aachen, where I initially worked on medical image processing with Prof. Thomas M. Deserno, then joined Prof. Bastian Leibe’s Computer Vision Group as a student research assistant and wrote my master’s thesis on visual crowd counting and pedestrian flow analysis. Prior to that, I received my bachelor’s degree in Computer Engineering from the Budapest University of Technology and Economics in my native Hungary, with a thesis on machine learning approaches for natural language processing in medical diagnosis classification.
