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Laurent Najman

7
Documents

Présentation

<image style="float: left; margin-left: 5px; margin-right: 5px;" src="https://laurentnajman.org/uploads/images/LaurentNajman-portrait-2023-small.jpeg" width="142" height="160">**Laurent Najman** received the Habilitation à Diriger les Recherches in 2006 from the University of Marne-la-Vallée, a Ph.D. of applied mathematics from Paris-Dauphine University in 1994 with the highest honour (Félicitations du Jury) and an “Ingénieur” degree from the Ecole des Mines de Paris in 1991. After earning his engineering degree, he worked in the Central Research Laboratories of Thomson-CSF for three years, working on some problems of infrared image segmentation using mathematical morphology. He then joined a start-up company named Animation Science in 1995, as director of research and development. The technology of particle systems for computer graphics and scientific visualisation, developed by the company under his technical leadership received several awards, including the “European Information Technology Prize 1997” awarded by the European Commission (Esprit programme) and by the European Council for Applied Science and Engineering and the “Hottest Products of the Year 1996” awarded by the Computer Graphics World journal. In 1998, he joined OCÉ Print Logic Technologies, as senior scientist. He worked there on various problem of image analysis dedicated to scanning and printing. In 2002, he joined the Informatics Department of ESIEE, Paris, where he is professor and a member of the Laboratoire d’Informatique Gaspard Monge, Université Paris-Est Marne-la-Vallée. His current research interest is discrete mathematical morphology, discrete topology and optimization.

Publications

764817
Image document

Power Watersheds: A Unifying Graph Based Optimization Framework

Camille Couprie , Leo Grady , Laurent Najman , Hugues Talbot
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33 (7), pp.1384-1399. ⟨10.1109/TPAMI.2010.200⟩
Article dans une revue hal-00622510v1

Indoor Semantic Segmentation using depth information

Camille Couprie , Clément Farabet , Laurent Najman , Yann Lecun
First International Conference on Learning Representations (ICLR 2013), May 2013, Scottsdale, AZ, United States. pp.1-8
Communication dans un congrès hal-00805105v1

Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers

Clément Farabet , Camille Couprie , Laurent Najman , Yann Lecun
29th International Conference on Machine Learning (ICML 2012), Jun 2012, Edinburgh, United Kingdom. pp.1-8
Communication dans un congrès hal-00715469v1
Image document

Surface reconstruction using Power Watershed

Camille Couprie , Xavier Bresson , Laurent Najman , Hugues Talbot , Leo Grady
10th International Symposium on Mathematical Morphology (ISMM'11), 2011, France. pp.381-392, ⟨10.1007/978-3-642-21569-8_33⟩
Communication dans un congrès hal-00622504v1

Power watersheds: a new image segmentation framework extending graph cuts, random walker and optimal spanning forest

Camille Couprie , Leo Grady , Laurent Najman , Hugues Talbot
12th International Conference on Computer Vision (ICCV'09), Sep 2009, France. pp.731-738
Communication dans un congrès hal-00622409v1

A New Image Segmentation Framework: Power Watersheds

Camille Couprie , Leo Grady , Laurent Najman , Hugues Talbot
Poster session of International Symposium on Mathematical Morphology (ISMM'09), Aug 2009, France. pp.53-55
Communication dans un congrès hal-00622426v1
Image document

Seeded Segmentation Methods for Medical Image Analysis

Camille Couprie , Laurent Najman , Hugues Talbot
Dougherty, Geoff. Medical Image Processing, Springer New York, pp.27-57, 2011, Biological and Medical Physics, Biomedical Engineering, 978-1-4419-9779-1. ⟨10.1007/978-1-4419-9779-1_3⟩
Chapitre d'ouvrage hal-00715457v1