I am a Postdoctoral Researcher in the Computer Vision Laboratory at Linköping University, Sweden. From March 2020 to July 2025, I have been working at the Centre for the Advanced Study of Collective Behaviour located at the University of Konstanz, Germany. Before pursuing my doctoral and postdoctoral studies in Konstanz, I worked as a machine vision specialist in industry, and I obtained my Bachelor’s and Master’s degrees in Physics from LMU Munich.
My research focuses on multi-animal pose estimation and tracking in natural environments, with an emphasis on developing methods that minimize reliance on large amounts of annotated real-world animal data.
Contact
E-mail: urs.waldmann@liu.se
Github: urs-waldmann
Bluesky: @ursnwaldmann.bsky.social
X: @ursNwaldmann
News
2026/01/26 – A paper led by a PhD student I co-supervise has been accepted at ICLR 2026.
Journal Papers
Urs Waldmann*, Alex Chan*, Hemal Naik, Máté Nagy, Iain D. Couzin, Oliver Deussen, Bastian Goldluecke, and Fumihiro Kano: 3D-MuPPET: 3D Multi-Pigeon Pose Estimation and Tracking. International Journal of Computer Vision, 2024. (* Authors contributed equally.) [project page, press release]
Conference Papers
Cuong Le, Pavlo Melnyk, Urs Waldmann, Mårten Wadenbäck, and Bastian Wandt: QuaMo: Quaternion Motions for Vision-based 3D Human Kinematics Capture. In The Fourteenth International Conference on Learning Representations (ICLR), 2026 (accepted).
Johannes Hägerlind, Bao-Long Tran, Urs Waldmann, and Per-Erik Forssén: Robust Multi-view Camera Calibration from Dense Matches. In 21st International Conference on Computer Vision Theory and Applications (VISAPP), 2026 (accepted, oral presentation). [arXiv]
Christoph Jahn, Urs Waldmann, and Bastian Goldlücke: Geometric 2D Scene Graph Generation. In 18th International Conference on Agents and Artificial Intelligence (ICAART), 2026 (accepted, oral presentation).
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, press release]
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), 2022 (oral presentation). [project page]
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]
Workshop Papers and Peer-Reviewed Workshops
Valentin Schmucker, Alex Chan, Bastian Goldlücke, and Urs Waldmann: Towards texture- and shape-independent 3d keypoint estimation in birds. Accepted in track 1 (unpublished work) in CVPRW „CV4Animals“, 2025 (oral presentation). [workshop page, arXiv]
Alex Hoi Hang Chan*, Otto Brookes*, Urs Waldmann, Hemal Naik, Iain D. Couzin, Majid Mirmehdi, Noël Adiko Houa, Emmanuelle Normand, Christophe Boesch, Lukas Boesch, Mimi Arandjelovic, Hjalmar Kühl, Tilo Burghardt †, and Fumihiro Kano †: Towards application-specific evaluation of vision models: Case studies in ecology and biology. Accepted in track 1 (unpublished work) in CVPRW „CV4Animals“, 2025. (*,† Authors contributed equally.) [workshop page, arXiv]
Urs Waldmann, Ole Johannsen, and Bastian Goldluecke: Neural Texture Puppeteer: A Framework for Neural Geometry and Texture Rendering of Articulated Shapes, Enabling Re-Identification at Interactive Speed. In Winter Conference on Applications of Computer Vision (WACV) Workshops, 2024 (oral presentation). [arXiv, code, video]
Urs Waldmann*, Alex Chan*, Hemal Naik, Máté Nagy, Iain D. Couzin, Oliver Deussen, Bastian Goldluecke, and Fumihiro Kano: 3D-MuPPET: 3D Multi-Pigeon Pose Estimation and Tracking. Accepted in track 1 (unpublished work) in CVPRW „CV4Animals“, 2023. (* Authors contributed equally.) [workshop 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. Accepted in track 2 (published work) in CVPRW „CV4Animals“, 2023. [workshop page]
Urs Waldmann, Jannik Bamberger, Ole Johannsen, Oliver Deussen, and Bastian Goldlücke: Improving Unsupervised Label Propagation for Pose Tracking and Video Object Segmentation. Accepted in track 2 (published work) in CVPRW „CV4Animals“, 2023. [workshop page]
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