Main publications in peer-reviewed journals
Main publications in peer-reviewed journals
DEEP LEARNING APPROACH FOR CLASSIFYING, DETECTING AND PREDICTING PHOTOMETRIC REDSHIFTS OF QUASARS IN THE SLOAN DIGITAL SKY SURVEY STRIPE 82
J. Pasquet-Itam and J. Pasquet- Astronomy & Astrophysics (A&A), November 3, 2017 - Impact Factor : 5.1
DETECTION OF MANHOLE COVERS IN HIGH-RESOLUTION AERIAL IMAGES OF URBAN AREAS BY COMBINING TWO METHODS
J. Pasquet, T. Desert, O. Bartoli, M. Chaumont, C. Delenne, G. Subsol, M. Derras, N. Chahinian, IEEE - Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS) Impact Factor 3.02, VOL. 9, NO. 5, 6 pages, January 2016
CULTURAL HERITAGE RESOURCES PROFILING: ONLTOLOGY-BASED APPROACH
M. B. Ellefi, O. Papini, D. Merad, J. M. Boi, J. P. Royer, J. Pasquet, J. C. Sourisseau, F. Castro, M. M. Nawaf and P. Drap - Lyon 2018 - International Workshop on Profiling and Searching Data on the Web@Web Conference '2018 (WWW2018)
AMPHORA DETECTION BASED ON A GRADIENT WEIGHTED ERROR IN A CONVOLUTION NEURONAL NETWORK
J. Pasquet, S. Demesticha, D. Skarlatos, D. Merad, P. Drap , MetroArchaeo 2017 – Lecce, Italy October 23-25, 2017
SPEEDING-UP A CONVOLUTIONAL NEURAL NETWORK BY CONNECTING AN SVM NETWORK
J. Pasquet, M. Chaumont, G. Subsol, M. Derras, ICIP'2016, IEEE International Conference on Image Processing, Phoenix, Arizona, USA, September 25-28, 2016, 5 pages, Acceptance rate is about 45%
OPTIMIZING COLOR INFORMATION PROCESSING INSIDE A DEEP CONVOLUTIONAL SVM NETWORK
J. Pasquet, M. Chaumont, G. Subsol, M. Derras, Visual Information Processing and Communication VII, Part of IS&T International Symposium on Electronic Imaging, San Francisco, California, 14-18 February 2016, 6 pages
DEEP LEARNING FOR STEGANALYSIS IS BETTER THAN A RICH MODEL WITH AN ENSEMBLE CLASSIFIER AND IS NATIVELY ROBUST TO THE COVER SOURCE-MISMATCH
L. Pibre, J. Pasquet, D. Ienco, M. Chaumont, Proceedings of Media Watermarking, Security, and Forensics, Part of IS&T International Symposium on Electronic Imaging, San Francisco, California, USA, 14-18 February 2016, 10 pages
AN EFFICIENT MULTI-RESOLUTION SVM NETWORK APPROACH FOR OBJECT DETECTION IN AERIAL IMAGES
J. Pasquet, M. Chaumont, G. Subsol, M. Derras, MLSP2015, Machine Learning for Signal Processing 2015 (Acceptance rate is about 50%), Boston, USA, 17-20 September 2015
DETECTION OF MANHOLE COVERS IN HIGH-RESOLUTION AERIAL IMAGES OF URBAN AREAS BY COMBINING TWO METHODS
Pasquet et al., JURSE'2015, Joint Urban Remote Sensing Event, Lausanne, Switzerland, 30 March - 1 April 2015, 4 pages
STEGANALYSIS WITH COVER-SOURCE MISMATCH AND A SMALL LEARNING DATABASE
J. Pasquet, S. Bringay, M. Chaumont, EUSIPCO 2014, 22nd European Signal Processing Conference 2014, Lisbon, Portugal, sep., 2014, 5 pages
AUTOMATIC LOCALIZATION OF TOMBS IN AERIAL IMAGERY: APPLICATION TO THE DIGITAL ARCHIVING OF CEMETERY HERITAGE
M. Chaumont, L. Tribouillard, G. Subsol, F. Courtade, J. Pasquet and M. Derras, Digital Heritage - International Congress 2013 - 28 Oct - 01 Nov, Marseille, France. Acceptance Rate is about 25%, 4 pages
COMPARAISON DE LA SEGMENTATION PIXEL ET SEGMENTATION OBJET POUR LA DÉTECTION D’OBJETS MULTIPLES ET VARIABLES DANS DES IMAGES
J. Pasquet, G. Subsol, et M. Chaumont, CORESA’2014, COmpression et REprésentation des Signaux Audiovisuels, Reims, France, 26-27 novembre, 2014, 7 pages
DES MILLIONS D'IMAGES POUR LA STÉGANALYSE : INUTILES
J. Pasquet, S. Bringay, et M. Chaumont, CORESA’2013, COmpression et REprésentation des Signaux Audiovisuels, Le Creusot, France, 28-29 novembre, 2013, 6 pages