I am a research scientist at Facebook Artificial Intelligence Research. I am currently on leave from IFP énergies nouvelles, a french research organization active in the fields of energy, transport and environment. In 2012, I was a postdoctoral fellow in Yann LeCun’s lab at the Courant Institute of Mathematical Sciences, New York University. I received my PhD in computer science from Université Paris Est in 2011, under the supervision of Hugues Talbot, Laurent Najman and Leo Grady. I received two awards for best PhD from the EADS foundation and from the French Armament Agency, as well as an accessit Gilles Khan best PhD award.
Interests
Graph modeling, optimization, computer vision, semantic segmentation, AI, machine learning, image processing
Latest Publications
Predicting Future Instance Segmentation by Forecasting Convolutional Features
Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek
ECCV 2018 - September 10, 2018
Joint Future Semantic and Instance Segmentation Prediction
Camille Couprie, Pauline Luc, Jakob Verbeek
ECCV AHB Workshop 2018 - September 7, 2018
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation
Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos
CVPR 2018 - June 18, 2018
DesIGN: Design Inspiration from Generative Networks
Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie
ArXive - April 3, 2018
Predicting Deeper into the Future of Semantic Segmentation
Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun
ICCV 2017 - October 22, 2017
BARCHAN: Blob Alignment for Robust CHromatographic ANalysis
Camille Couprie, Laurent Duval, Maxime Moreaud, Sophie Henon, Melinda Tebib, Vincent Souchon
Journal of Chromatography A - February 25, 2017
Semantic Segmentation using Adversarial Networks
Pauline Luc, Camille Couprie, Soumith Chintala, Jakob Verbeek
NIPS Workshop - November 30, 2016
Deep Multi-Scale Video Prediction Beyond Mean Square Error
Michael Mathieu, Camille Couprie, Yann LeCun
ICLR - May 2, 2016