Pia Bideau

According to our database, Pia Bideau authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields.

Pia Bideau, Erik G. Learned-Miller, Cordelia Schmid, Karteek Alahari

Int. J. Comput. Vis., January, 2024

Model AI Assignments 2024.

Todd W. Neller, Pia Bideau, David Bierbach, Wolfgang Hönig, Nir Lipovetzky, Christian Muise, Lino Coria, Claire Wong, Stephanie Rosenthal, Yu Lu, Ming Gao, Jingjing Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Action-Based Contrastive Learning for Trajectory Prediction.

Marah Halawa, Olaf Hellwich, Pia Bideau

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

A modular framework for object-based saccadic decisions in dynamic scenes.

Nicolas Roth, Pia Bideau, Olaf Hellwich, Martin Rolfs, Klaus Obermayer

CoRR, 2021

The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data.

Cheng Gu, Erik G. Learned-Miller, Daniel Sheldon, Guillermo Gallego, Pia Bideau

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

C-14: assured timestamps for drone videos.

Zhipeng Tang, Fabien Delattre, Pia Bideau, Mark D. Corner, Erik G. Learned-Miller

Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

2018

MoA-Net: Self-supervised Motion Segmentation.

Pia Bideau, Rakesh R. Menon, Erik G. Learned-Miller

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation.

Pia Bideau, Aruni RoyChowdhury, Rakesh R. Menon, Erik G. Learned-Miller

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

A Detailed Rubric for Motion Segmentation.

Pia Bideau, Erik G. Learned-Miller

CoRR, 2016

It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos.

Pia Bideau, Erik G. Learned-Miller

Proceedings of the Computer Vision - ECCV 2016, 2016