Camille Couprie

Research Scientist

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.


Graph modeling, optimization, computer vision, semantic segmentation, AI, machine learning, image processing

Latest Publications

IEEE Transactions on Image Processing Journal - March 9, 2021

Inspirational Adversarial Image Generation

Baptiste Rozière, Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie

ICPR - January 9, 2021

Tarsier: Evolving Noise Injection in Super-Resolution GANs

Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud

ECCV - August 23, 2020

Impact of base dataset design on few-shot image classification

Othman Sbai, Camille Couprie, Mathieu Aubry

ECCV 2018 - September 10, 2018

Predicting Future Instance Segmentation by Forecasting Convolutional Features

Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek

ECCV AHB Workshop 2018 - September 7, 2018

Joint Future Semantic and Instance Segmentation Prediction

Camille Couprie, Pauline Luc, Jakob Verbeek

CVPR 2018 - June 18, 2018

Deep Spatio-Temporal Random Fields for Efficient Video Segmentation

Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos

ArXive - April 3, 2018

DesIGN: Design Inspiration from Generative Networks

Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie

ICCV 2017 - October 22, 2017

Predicting Deeper into the Future of Semantic Segmentation

Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun

Journal of Chromatography A - February 25, 2017

BARCHAN: Blob Alignment for Robust CHromatographic ANalysis

Camille Couprie, Laurent Duval, Maxime Moreaud, Sophie Henon, Melinda Tebib, Vincent Souchon

NIPS Workshop - November 30, 2016

Semantic Segmentation using Adversarial Networks

Pauline Luc, Camille Couprie, Soumith Chintala, Jakob Verbeek

ICLR - May 2, 2016

Deep Multi-Scale Video Prediction Beyond Mean Square Error

Michael Mathieu, Camille Couprie, Yann LeCun