Schools of fish, flocks of birds, and herds of sheep exhibit synchronized behaviors, yet the underlying mechanisms remain unclear. To address these open questions about the emergent dynamics of collective behavior, my work aims at quantizing observed behavior to uncover principles of social organization and decision-making. Leveraging recent advances in computer vision — particularly in semantic segmentation and tracking — we develop for challenging real-world scenarios, such as tracking objects over the open ocean using drones, determining their real-world trajectory and speeds. These applications pose novel challenges for the computer vision community while simultaneously advancing the analysis of biological data.
P. Bideau, D. Pham, M. Hansen, F. Dhellemmes, and J. Krause
Watching Swarm Dynamics from Above: A Framework for Advanced Object Tracking in Drone Videos
Manuscript submitted for publication
paper (short version)
K. Pacher, J. Krause, P. Bartashevich, P. Romanczuk, P. Bideau, D. Pham, A. Burns, D. Deffner, F. Dhellemmes, B. Binder, K. Boswell, F. Galván-Magaña, P. Domenici, and M. Hansen
Evidence for a by-product mutualism in a group hunter depends on prey movement state
Functional Ecology, Aug. 2024
DOI: 10.1111/1365-2435.14638
M. Maier, A. Leonhardt, F. Blume, P. Bideau, O. Hellwich, and R. Abdel Rahman
Brain Dynamics of Mental State Attribution During Perception of Social Robot Faces
Social Cognitive and Affective Neuroscience, April 2025
DOI: 10.1093/scan/nsaf027
M. Halawa, F. Blume, P. Bideau, M. Maier, R. Abdel Rahman, and O. Hellwich
Multi-Task Multi-Modal Selfsupervised Learning for Facial Expression Recognition
Proceedings IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 2024
DOI: 10.1109/CVPRW63382.2024.00463
M. Maier, F. Blume, P. Bideau, O. Hellwich, R. Abdel Rahman
Knowledge Augmented Face Perception: Prospects for the Bayesian Brain-Frameworkto Align AI and Human Vision
Consciousness and Cognition, May 2022
DOI: 10.1016/j.concog.2022.103301