Computer Vision

Since March 2020, I have been working at the Centre for the Advanced Study of Collective Behaviour. Biologists, psychologists, computer scientists and may more disciplines interdisciplinary work together and study collective behaviour across a wide range of species and across scales of organization.

I am a computer scientist within the Computer Vision and Image Analysis group. We focus on tracking and pose estimation methods. We acquire data in our imaging facilities – the Imaging Barn and the Imaging Hangar – which are located in Möggingen at the Max Planck Institute of Animal Behavior and in the Centre for Visual Computing of Collectives at the University of Konstanz respectively.


github: urs-waldmann
twitter: @ursNwaldmann


2022/07/17 – Two papers accepted @GCPR 2022 Konstanz. Stay tuned for more infos.
2022/08/16 – I-MuPPET –> oral presentation @GCPR 2022 Konstanz.
2022/08/31 – I-MuPPET code available at
2022/09/17 – Paper accepted @accv2022. Stay tuned for more infos.


Urs Waldmann, Jannik Bamberger, Ole Johannsen, Oliver Deussen, and Bastian Goldlücke: Improving Unsupervised Label Propagation for Pose Tracking and Video Object Segmentation. In Pattern Recognition (Proc. of DAGM GCPR), 2022.

Urs Waldmann, Hemal Naik, Nagy Máté, Fumihiro Kano, Iain D. Couzin, Oliver Deussen, and Bastian Goldlücke: I-MuPPET: Interactive Multi-Pigeon Pose Estimation and Tracking. In Pattern Recognition (Proc. of DAGM GCPR, oral presentation), 2022. [project page]