About us

We aim to advance computer vision and multimodal perception methods to solve impactful problems in assistive systems, robotics, and autonomous driving. In the long term, we intend to build scalable and reliable human- and scene-understanding models for autonomous agents interacting with and assisting humans in an open, dynamic environment.

The research at the "Intelligent Sensing and Perception" Department emphasizes the development of data-efficient, domain-invariant, and privacy-preserving algorithms to perceive humans and understand their interactions with their surroundings, including their behaviour, emotions, physiology, intentions, and needs.