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Laurent Najman

9
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

aditya-challa
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Triplet-Watershed for Hyperspectral Image Classification

Aditya Challa , Sravan Danda , B S Daya Sagar , Laurent Najman
IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, pp.1--14. ⟨10.1109/TGRS.2021.3113721⟩
Article dans une revue hal-03171597v3
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Iterated Watersheds, A Connected Variation of K-Means for Clustering GIS Data

Sampriti Soor , Aditya Challa , Sravan Danda , B S Daya Sagar , Laurent Najman
IEEE Transactions on Emerging Topics in Computing, 2021, 9 (2), pp.626 - 636. ⟨10.1109/TETC.2019.2910147⟩
Article dans une revue hal-02063210v2
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A Tutorial on Applications of Power Watershed Optimization to Image Processing

Sravan Danda , Aditya Challa , B S Daya Sagar , Laurent Najman
The European Physical Journal. Special Topics, 2021, 230, pp.2337-2361. ⟨10.1140/epjs/s11734-021-00264-0⟩
Article dans une revue hal-03313641v1
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Power Spectral Clustering

Aditya S Challa , Sravan Danda , B S S Daya Sagar , Laurent Najman
Journal of Mathematical Imaging and Vision, 2020, 62 (9), pp.1195--1213. ⟨10.1007/s10851-020-00980-7⟩
Article dans une revue hal-01516649v4
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Revisiting the Isoperimetric Graph Partitioning Problem

Sravan Danda , Aditya Challa , B S Daya Sagar , Laurent Najman
IEEE Access, 2019, 7, pp.50636 - 50649. ⟨10.1109/ACCESS.2019.2901094⟩
Article dans une revue hal-01810249v1
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Some Theoretical Links Between Shortest Path Filters and Minimum Spanning Tree Filters

Sravan Danda , Aditya Challa , B S Daya Sagar , Laurent Najman
Journal of Mathematical Imaging and Vision, 2019, 61, pp.745-762. ⟨10.1007/s10851-018-0866-1⟩
Article dans une revue hal-01617799v6
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Watersheds for Semi-Supervised Classification

Aditya Challa , Sravan Danda , B S Daya Sagar , Laurent Najman
IEEE Signal Processing Letters, 2019, 26 (5), pp.720-724. ⟨10.1109/LSP.2019.2905155⟩
Article dans une revue hal-01977705v2
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Extending K-means to Preserve Spatial Connectivity

Sampriti Soor , Aditya Challa , Sravan Danda , B S Daya Sagar , Laurent Najman
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2018, Valencia, Spain
Communication dans un congrès hal-01686321v1
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POWER SPECTRAL CLUSTERING ON HYPERSPECTRAL DATA

Aditya Challa , Sravan Danda , B S Daya Sagar , Laurent Najman
International Geoscience and Remote Sensing Symposium, Jul 2017, Forth Worth, United States
Communication dans un congrès hal-01484896v1