Laurent Najman
Laurent Najman
Professor, Laboratoire d'Informatique Gaspard Monge, ESIEE, Université Paris-Est
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TitleCited byYear
Learning hierarchical features for scene labeling
C Farabet, C Couprie, L Najman, Y LeCun
Pattern Analysis and Machine Intelligence, IEEE Transactions on 35 (8), 1915 …, 2013
Geodesic saliency of watershed contours and hierarchical segmentation
L Najman, M Schmitt
Power watershed: A unifying graph-based optimization framework
C Couprie, L Grady, L Najman, H Talbot
IEEE transactions on pattern analysis and machine intelligence 33 (7), 1384-1399, 2010
Multi-histogram equalization methods for contrast enhancement and brightness preserving
D Menotti, L Najman, J Facon, AA Araújo
IEEE Transactions on Consumer Electronics 53 (3), 1186-1194, 2007
Indoor semantic segmentation using depth information
C Couprie, C Farabet, L Najman, Y LeCun
arXiv preprint arXiv:1301.3572, 2013
Watershed cuts: Minimum spanning forests and the drop of water principle
J Cousty, G Bertrand, L Najman, M Couprie
IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (8), 1362-1374, 2008
Mathematical morphology: from theory to applications
L Najman, H Talbot
John Wiley & Sons, 2013
Building the component tree in quasi-linear time
L Najman, M Couprie
IEEE Transactions on Image Processing 15 (11), 3531-3539, 2006
Watershed of a continuous function
L Najman, M Schmitt
Signal Processing 38 (1), 99-112, 1994
Scene parsing with multiscale feature learning, purity trees, and optimal covers
C Farabet, C Couprie, L Najman, Y LeCun
arXiv preprint arXiv:1202.2160, 2012
From crowd simulation to airbag deployment: particle systems, a new paradigm of simulation
E Bouvier, E Cohen, L Najman
Journal of Electronic imaging 6 (1), 94-108, 1997
Power watersheds: A new image segmentation framework extending graph cuts, random walker and optimal spanning forest
C Couprie, L Grady, L Najman, H Talbot
2009 IEEE 12th international conference on computer vision, 731-738, 2009
Watershed cuts: Thinnings, shortest path forests, and topological watersheds
J Cousty, G Bertrand, L Najman, M Couprie
IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (5), 925-939, 2009
A complete processing chain for ship detection using optical satellite imagery
C Corbane, L Najman, E Pecoul, L Demagistri, M Petit
International Journal of Remote Sensing 31 (22), 5837-5854, 2010
Image processing and analysis with graphs: theory and practice
O Lézoray, L Grady
CRC Press, 2012
Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography
HA Kirişli, M Schaap, CT Metz, AS Dharampal, WB Meijboom, ...
Medical image analysis 17 (8), 859-876, 2013
Quasi-linear algorithms for the topological watershed
M Couprie, L Najman, G Bertrand
Journal of Mathematical Imaging and Vision 22 (2-3), 231-249, 2005
Segmentation of 4D cardiac MRI: Automated method based on spatio-temporal watershed cuts
J Cousty, L Najman, M Couprie, S Clément-Guinaudeau, T Goissen, ...
Image and Vision Computing 28 (8), 1229-1243, 2010
A Quasi-linear Algorithm to Compute the Tree of Shapes of nD Images
T Géraud, E Carlinet, S Crozet, L Najman
International symposium on mathematical morphology and its applications to …, 2013
Watershed algorithms and contrast preservation
L Najman, M Couprie
International Conference on Discrete Geometry for Computer Imagery, 62-71, 2003
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