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)
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
P. Bideau, E. Learned-Miller, C. Schmid, and K. Alahari
The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields
International Journal of Computer Vision, Jan. 2024
DOI: 10.1007/s11263-023-01859-x
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
paper (short version)
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
T. W. Neller, P. Bideau, D. Bierbach, W. Hönig, N. Lipovetzky, C. Muise, L. Coria, C. Wong, S. Rosenthal, Y. Lu , et al.
Model AI Assignments 2024
Proceedings of the AAAI Conference on Artificial Intelligence, Mar. 2024
DOI: 10.1609/aaai.v38i21.30386
M. Halawa, O. Hellwich, and P. Bideau
Action-Based Contrastive Learning for Trajectory Prediction
European Conference on Computer Vision (ECCV), Oct. 2022
DOI: 10.1007/978-3-031-19842-7_9
P. Bideau, A. RoyChowdhury, R.R. Menon, and E. Learned-Miller
The Best of Both Worlds: Combining CNNs and Geomtric Constraints for Hierarchical Motion Segmentation
Proceedings IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), June. 2018
DOI: 10.1109/CVPR.2018.00060
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
D. Pham, M. Hansen, F. Dhellemes, J. Krause, and P. Bideau
Watching Swarm Dynamics from Above: A Framwork for Advances Object Tracking in Drone Videos
Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 2024
arXiv: 2406.07680 [cs.CV]
paper
N. Roth, P. Bideau, O. Hellwich, M. Rolfs, and K. Obermayer
A Modular Framework for Object-Based Saccadic Decisions in Dynamic Scenes
Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 2021
arXiv: 2106.06073 [cs.CV]
P. Bideau, J. Weinman, and E. Learned-Miller
Generating-Synthetic Training Data using Neural Style Transfer for Historical Map Text Recognition
Nov. 2019
Technical Report: UM-CS-2019-004
P. Bideau and E. Learned-Miller
A Detailed Rubric for Motion Segmentation
arXiv preprint, Oct. 2016
arXiv: 1610.10033 [cs.CV]
P. Bideau
Motion Segmentation - Segmentation of Independently Moving Objects in Video
Doctoral Dissertations, Feb. 2020
DOI: 10.7275/w9vx-9171
Learning for and from Motion
DLTea Mathworks, Boston (USA), Jan. 2025
Synthesising Context-Driven Behavior in Artificial Systems
French Korean Workshop on AI, Networks, Programming Languages and Mathematical Sciences at KAIST, Session: Generative AI, Nov. 2024
Navigating Together - Integrating Analytical and Learning-Based Approached for Distance Estimation
INRIA-DFKI Summer School on AI for Robotics, Saarbrücken (Germany), Sept. 2024
Context Guided Behaviour in Natural and Artificial Systems
Multidisciplinary Institute for Artificial Intelligence, Université Grenoble Alpes (France), Feb. 2024
Learning meets Culture
Int. Symposium at Heidelberg University for Machine Learning and Applications in the Humanities, Feb. 2023
Learning for and from Motion
Scientific Symposium at the Max Planck Institute for Intelligent Systems, Stuttgart (Germany), Jan. 2023
Different representations of motion information - and what can we learn from those
Robotics Colloquium, Learning and Intelligent Systems Lab, Technical University Berlin (Germany), July 2021
MoA-Net: Self-Supervised Motion Segmentation
Workshop: What is optical flow for? in conjunction with ECCV 2022, Munich (Germany), Oct. 2018.
Causal Motion Segmentation in Moving Camera Videos
2nd Int. Work- shop at the European Conference on Computer Vision on Video Segmentation, Amsterdam (Netherlands), Oct. 2016