Efficient conditioned face animation using frontally-viewed embedding
Maxime Oquab, Daniel Haziza, Ludovic Schwartz, Tao Xu, Katayoun Zand, Rui Wang, Peirong Liu, Camille Couprie
People
Camille Couprie
Research Scientist
I am a Research Scientist at Meta 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
arXiv - 2022
Low Bandwidth Video-Chat Compression using Deep Generative Models
Maxime Oquab, Pierre Stock, Oran Gafni, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Çelebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie
Inspirational Adversarial Image Generation
Baptiste Rozière, Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie
Tarsier: Evolving Noise Injection in Super-Resolution GANs
Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
Impact of base dataset design on few-shot image classification
Othman Sbai, Camille Couprie, Mathieu Aubry
Predicting Future Instance Segmentation by Forecasting Convolutional Features
Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek