I am professor of Computer Science at Université Gustave Eiffel, Laboratoire Informatique Gaspard-Monge, Equipe A3SI, ESIEE Paris . 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. My Google Scholar page is here.
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.
On the 4th of December 2016, Hugues Talbot and myself gave a tutorial on graph-based morphology at ICPR. This tutorial follows the outline of the PRL survey paper on Graph-Based Morphology. Slides of the talk and videos are available on a dedicated page.
A second PAMI paper on the shape-based morphological filtering framework, has been accepted. This one is dedicated to the hierchical segmentation. Of course, the first PAMI on the topic is still available.
My paper on ultrametric watersheds is amongst the selected 5 top-cited articles from the Journal of Mathematical Imaging and Vision available free until the end of September.
With 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.
The meeting will take place at the CIRM, in Luminy, near Marseille (France), from November 18th to the 22nd, 2013.
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 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)