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 multi-object tracking and pose estimation methods for animals. 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.

Contact

e-mail: urs.waldmann@uni-konstanz.de
github: urs-waldmann
mastodon: @ursNwaldmann@sigmoid.social

News

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 https://github.com/urs-waldmann/i-muppet.
2022/09/17 – Paper accepted @accv2022. Stay tuned for more infos.
2022/10/06 – Check out our NePu project page from our ACCV 2022 paper.
2022/10/06 – Check out our project page for „Improving Unsupervised Label Propagation for Pose Tracking and Video Object Segmentation“. One of our two GCPR 2022 papers.
2022/11/17 – Check out our introduction video to NePu.
2022/11/18 – Code available for „Improving Unsupervised Label Propagation for Pose Tracking and Video Object Segmentation“, one of our two GCPR 2022 papers, at https://github.com/urs-waldmann/improving-unsupervised-label-propagation.

Publications

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. [project page]

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]

Simon Giebenhain*, Urs Waldmann*, Ole Johannsen, and Bastian Goldluecke: Neural Puppeteer: Keypoint-Based Neural Rendering of Dynamic Shapes. In Asian Conference on Computer Vision (ACCV), 2022. (* Authors contributed equally.) [project page]