Some news:

  • Pauline Luc's work "Predicting Future Instance Segmentations by Forecasting Convolutional Features" was featured in the best of ECCV18 magazine (with J. Verbeek and Y. LeCun).
  • Othman Sbai won the best paper award from the ECCV18 fashion and art workshop for his work entitled "Design inspiration from generative networks" video of F8 speech (large audience) (with M. Elhoseiny, A. Bordes, Y. LeCun).
  • Aurelie Pirayre won the Yves Chauvin award for best PhD at IFPEN for her work in optimization for gene inference networks (with L. Duval, J.-C. Pesquet, F. Bidard-Michelot).

My work at Facebook

In 2015, I joined Facebook Artificial Intelligence Research as a research scientist. My research focusses on image generative modeling for various purposes. I also explore ways to perform visual understanding with a limited amount of annotations. In the example below, the task is to predict the next frames in the red frames given a video sequence of four past frames.

Previous positions

From 2013 to 2015, I worked at IFP Energies Nouvelles , Rueil Malmaison. IFPEN is a public research organization in the field of energies, transports and environment preservation. The signal and image processing team - Laurent Duval and Maxime Moreaud - works with chimists, biologists and geophysicists on chromatography, microarray data and seismic signals.

Previously, I was working as a postdoc at the Courant Institute of Mathematical Science , New York University, with Professor Yann Lecun.

I obtained my PhD at Universite Paris Est (UPE), France, from Oct. 2008 to Oct. 2011. I was working at ESIEE in the Computer Science Department , and in the A3SI team of the Laboratoire d'Informatique Gaspard Monge (LIGM) under the supervision of my phD advisors Laurent Najman and Hugues Talbot. I was also co-advised by Leo Grady.

I use combinatorial optimization approaches in computer vision applications such as image understanding and segmentation, shape fitting, image restoration...

Image Understanding

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