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2020 – today
- 2024
[j1]Pia Bideau
, Erik G. Learned-Miller, Cordelia Schmid, Karteek Alahari:
The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields. Int. J. Comput. Vis. 132(1): 40-55 (2024)- [c8]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:
Model AI Assignments 2024. AAAI 2024: 23370-23371 - [c7]Marah Halawa, Florian Blume, Pia Bideau, Martin Maier, Rasha Abdel Rahman, Olaf Hellwich:
Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition. CVPR Workshops 2024: 4604-4614 - [i9]Marah Halawa, Florian Blume, Pia Bideau, Martin Maier, Rasha Abdel Rahman, Olaf Hellwich:
Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition. CoRR abs/2404.10904 (2024) - [i8]Duc Pham, Matthew Hansen, Félicie Dhellemmens, Jens Krause, Pia Bideau:
Watching Swarm Dynamics from Above: A Framework for Advanced Object Tracking in Drone Videos. CoRR abs/2406.07680 (2024) - [i7]Florian Blume, Runfeng Qu, Pia Bideau, Martin Maier, Rasha Abdel Rahman, Olaf Hellwich:
How Do You Perceive My Face? Recognizing Facial Expressions in Multi-Modal Context by Modeling Mental Representations. CoRR abs/2409.02566 (2024) - 2022
- [c6]Marah Halawa, Olaf Hellwich, Pia Bideau:
Action-Based Contrastive Learning for Trajectory Prediction. ECCV (39) 2022: 143-159 - [i6]Pia Bideau, Erik G. Learned-Miller, Cordelia Schmid, Karteek Alahari:
The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields. CoRR abs/2203.00115 (2022) - [i5]Marah Halawa, Olaf Hellwich, Pia Bideau:
Action-based Contrastive Learning for Trajectory Prediction. CoRR abs/2207.08664 (2022) - 2021
- [c5]Cheng Gu, Erik G. Learned-Miller, Daniel Sheldon, Guillermo Gallego, Pia Bideau:
The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data. ICCV 2021: 13475-13484 - [i4]Nicolas Roth, Pia Bideau, Olaf Hellwich, Martin Rolfs, Klaus Obermayer:
A modular framework for object-based saccadic decisions in dynamic scenes. CoRR abs/2106.06073 (2021) - [i3]Cheng Gu, Erik G. Learned-Miller, Daniel Sheldon, Guillermo Gallego, Pia Bideau:
The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data. CoRR abs/2106.06887 (2021) - 2020
- [c4]Zhipeng Tang, Fabien Delattre, Pia Bideau, Mark D. Corner, Erik G. Learned-Miller:
C-14: assured timestamps for drone videos. MobiCom 2020: 39:1-39:13
2010 – 2019
- 2018
- [c3]Pia Bideau, Aruni RoyChowdhury, Rakesh R. Menon, Erik G. Learned-Miller:
The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation. CVPR 2018: 508-517 - [c2]Pia Bideau, Rakesh R. Menon, Erik G. Learned-Miller:
MoA-Net: Self-supervised Motion Segmentation. ECCV Workshops (6) 2018: 715-730 - 2016
- [c1]Pia Bideau, Erik G. Learned-Miller:
It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos. ECCV (8) 2016: 433-449 - [i2]Pia Bideau, Erik G. Learned-Miller:
It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos. CoRR abs/1604.00136 (2016) - [i1]Pia Bideau, Erik G. Learned-Miller:
A Detailed Rubric for Motion Segmentation. CoRR abs/1610.10033 (2016)
Coauthor Index
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