Manuel Wöllhaf

External collaborator

After obtaining his MSc in Computer Engineering, Manuel Wöllhaf started working as a doctoral student in Prof. Hellwich’s lab, on Project 29, “Hierarchical modularized vision system for perception-action loops”. His research is focused on the perceptive systems of artificial agents. Visual sensors in biological and synthetic intelligent systems provide high-dimensional data with complex structural relationships between their elements. Especially if the input has a time component, as in the visual system of an acting agent, the data stream has to be compressed to allow for efficient decision-making. Therefore, Manuel aims to identify and integrate priors in self and unsupervised learning frameworks that help to reduce redundancy in the visual signal.



SCIoI Publications:

Andresen, N., Wöllhaf, M., Hohlbaum, K., Lewejohann, L., Hellwich, O., Thöne-Reineke, C., & Belik, V. (2020). Towards a fully automated surveillance of well-being status in laboratory mice using deep learning: Starting with facial expression analysis. PLOS ONE, 15(4), e0228059.