I am professor of Computer Science at Université Paris-Est, Laboratoire Informatique Gaspard-Monge, Equipe A3SI, ESIEE. A short bio is available here. To (surface) mail me, you can write at ESIEE Paris - 2, boulevard Blaise Pascal - Cité DESCARTES - BP 99 - 93162 Noisy le Grand CEDEX - France. You can follow me on
. My Google Scholar page is here.
Family and friends can have access to the private section, if they have a password.
A fun project is the Mathematics Genealogy Project. According to them, some of my ancestors are quite famous. They are, in chronological order, Jean-Pierre Aubin, Jacques-Louis Lions, Laurent Schwartz, Georges Valiron, Emile Borel, Gaston Darboux, Michel Chasles, Simeon Denis Poisson, Joseph Lagrange, Leonhard Euler, Johann Bernouilli, Jacob Bernouilli, Gottfried Leibniz and Erhard Weigel.
ith Pascal Romon , we are organizing a colloquium on Discrete Curvature. The aim of this meeting is to bring together researchers from diverse backgrounds (including mathematics and computer science) on the common theme of discrete curvature and to make an update on the many achievements of the last decade. We want to promote interaction between various fields, so topics and participants can and should be varied, as long as they fit under the under the main theme. Prestigious speakers are already programmed.
Another prize for Camille Couprie! She has just been awarded an accessit for the prestigious Gilles Khan prize.
Congratulations, Camille!
Prix EADS de la meilleure thèse interdisciplinaire : Camille COUPRIE pour ses travaux sur l' « Optimisation variationnelle discrète et applications en vision par ordinateur », ED 532 - MSTIC.
The challenge was held on October 1st, 2012 in Nice Sophia Antipolis, Côte d'Azur, France, at the workshop 3D Cardiovascular Imaging: a MICCAI segmentation challenge at the 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI),
The preprint of our upcoming IEEE Trans. PAMI on scene labeling is available. We use a multi-scale convolutional network trained in supervised mode on fully-labeled images in which each pixel is labeled by the category of the object it belongs to. A simple superpixel-based post-processing smoothes out the output labels and lines up the segment boundaries with image contours.
Shape based filtering
Non-Local Dual Constrained Total Variation Denoising (NL-DCTV)
Saliency maps
Scene parsing with hierarchical convolutional nets
The Polygonal Path Image (PPI)