Three papers accepted to ICCV '21; named among the 9 most influential CV scholars in Europe; four papers accepted to CVPR 2020; organized a half-day tutorial on Normalizing Flow at ECCV; one paper accepted to 3DV 2019; recipient of an ERC Consolidator Grant for work on the Rich Scene Model.
Research Experience
Head of the Computer Vision and Learning Lab at Heidelberg; involved in interdisciplinary collaborations spanning computational biology, medicine, astronomy, or environmental physics.
Background
An expert in the field of Computer Vision and Machine Learning; leads three research groups: 3D Computer Vision, Explainable Machine Learning, and Optimization for Machine Learning.
Miscellany
Mentors the start-up Rabbit AI; part of the Heidelberg HCI 3rd phase, collaborating closely with Bosch.