Pia Bideau

Pia Bideau

Postdoctoral Researcher
Science of Intelligence
Technical University Berlin

Email: p.bideau AT tu-berlin.de
google scholar

About Me

I am a Postdoctoral Researcher at TU Berlin and part of the research cluster Science of Intelligence. I am working on projects addressing different aspects of intellgience while connecting biological intelligence with artificial intelligence that is build into synthetic systems such as robots or computer vision systems.

In December 2019 graduated from University of Massachusetts, Amherst, where I was lucky to be advised by Prof. Erik Learned-Miller. In 2018 I did an internship at INRIA, Grenoble working with Karteek Alahari and Cordelia Schmid. I got my M.Sc degree from Ruhr-University Bochum.

I have broad interests in computer vision, machine learning, and the connection of biological and artificial intelligence.

"Man muss das Unmögliche versuchen, um das Mögliche zu erreichen." - (Hermann Hesse)
"You must try the impossible to reach the possible." - (Hermann Hesse)


"C-14: Assured Timestamps for Drone Videos
Zhipeng Tang, Fabien Delattre, Pia Bideau, Mark D. Corner, Erik Learned-Miller, in The 26th Annual International Conference on Mobile Computing and Networking (MobiCom), 2020


Best workshop paper
"MoA-Net: Self-Supervised Motion Segmentation
Pia Bideau, Rakesh Menon, Erik Learned-Miller, in ECCV workshop: what is optical flow for?, 2018

paper slides (pdf)

"The best of both worlds: Combining CNNs and geometric constraints for hierarchichal motion segmentation
Pia Bideau, Aruni RoyChowdhury, Rakesh Menon, Erik Learned-Miller, in CVPR, 2018

project page code evaluation code

"A Detailed Rubric for Motion Segmentation"
Pia Bideau, Erik Learned-Miller, ArXiv preprint, 2016

project page

"It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos"
Pia Bideau, Erik Learned-Miller, in ECCV, 2016

project page



"Causal Motion Segmentation in Moving Camera Videos" Pia Bideau, Erik Learned-Miller, The Second International Workshop on Video Segmentation, ECCV2016
slides with example videos slides (pdf)


"MoA-Net: Self-Supervised Motion Segmentation" Pia Bideau, Rakesh R Menon, Erik Learned-Miller, Workshop: What is optical flow for?, ECCV2018
slides with example videos slides (pdf)