Pia Bideau
Pia Bideau
Researcher, INRIA Grenoble
Verified email at - Homepage
Cited by
Cited by
It’s moving! a probabilistic model for causal motion segmentation in moving camera videos
P Bideau, E Learned-Miller
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
The best of both worlds: Combining cnns and geometric constraints for hierarchical motion segmentation
P Bideau, A RoyChowdhury, RR Menon, E Learned-Miller
Proceedings of the IEEE conference on computer vision and pattern …, 2018
A detailed rubric for motion segmentation
P Bideau, E Learned-Miller
arXiv preprint arXiv:1610.10033, 2016
Moa-net: self-supervised motion segmentation
P Bideau, RR Menon, E Learned-Miller
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data
C Gu, E Learned-Miller, D Sheldon, G Gallego, P Bideau
International Conference on Computer Vision (ICCV), 2021
Action-based contrastive learning for trajectory prediction
M Halawa, O Hellwich, P Bideau
European Conference on Computer Vision, 143-159, 2022
Knowledge-augmented face perception: Prospects for the Bayesian brain-framework to align AI and human vision
M Maier, F Blume, P Bideau, O Hellwich, RA Rahman
Consciousness and Cognition 101, 103301, 2022
C-14: assured timestamps for drone videos
Z Tang, F Delattre, P Bideau, MD Corner, E Learned-Miller
Proceedings of the 26th Annual International Conference on Mobile Computing …, 2020
Motion segmentation-segmentation of independently moving objects in video
PK Bideau
The right spin: Learning object motion from rotation-compensated flow fields
P Bideau, E Learned-Miller, C Schmid, K Alahari
International Journal of Computer Vision, 1-16, 2023
Modeling the influence of objects on saccadic decisions in dynamic real-world scenes
N Roth, P Bideau, O Hellwich, M Rolfs, K Obermayer
PERCEPTION 50 (1_ SUPPL), 19-20, 2021
A modular framework for object-based saccadic decisions in dynamic scenes
N Roth, P Bideau, O Hellwich, M Rolfs, K Obermayer
arXiv preprint arXiv:2106.06073, 2021
Supplementary material
G Gallego, P Bideau
Generating Synthetic Training Data using Neural Style Transfer for Historical Map Text Recognition
P Bideau, J Weinman, E Learned-Miller
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