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All publications are listed below:

2019

Réseaux de neurones semi-supervisés pour la segmentation sémantique en télédétection J. Castillo Navarro, B. Le Saux, A. Boulch, S. Lefèvre Colloque GRETSI, Lille, France, Sept. 2019

[ pdf ]

Learning to understand Earth-observation images with weak and unreliable ground-truth R. Caye Daudt, A. Chan-Hon-Tong, B. Le Saux, A. Boulch IGARSS 2019, Yokohama, Japan, July 2019

[ ]

Deep Learning for Classification of Hyperspectral Data: A Comparative Review N. Audebert, B. Le Saux, S. Lefèvre IEEE Geoscience and Remote Sensing Magazine, vol. 7 (2), June 2019

[ doi / arxiv / hal / DeepHyperX toolbox ]

Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest Y. Xu, B. Du, L. Zhang, D. Cerra, M. Pato, E. Carmona, S. Prasad, N. Yokoya, R. Hänsch, B. Le Saux IEEE JSTARS, June 2019

[ doi (open access) / DFC2018 ]

Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection R. Caye Daudt, B. Le Saux, A. Boulch, Y. Gousseau IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR / EarthVision 19) Long Beach, Cal., USA, June 2019

[ Best Student Paper Award pdf#1 / pdf#2 / arxiv ]

What data do we need for semantic segmentation in Earth-observation? J. Castillo Navarro, N. Audebert, A. Boulch, B. Le Saux, S. Lefèvre IEEE Joint Urban Remote Sensing Event (JURSE’2019) Vannes, France, May 2019

[ pdf ]

2019 IEEE GRSS Data Fusion Contest: Large-Scale Semantic 3D Reconstruction B. Le Saux, N. Yokoya, R. Hänsch, M. Brown, G. Hager, Geoscience and Remote Sensing Magazine (GRSM), March 2019

[ doi / Open-Access pdf / DFC 2019 website ]

2018

Fully Convolutional Siamese Networks for Change Detection R. Caye Daudt, B. Le Saux, A. Boulch IEEE Int. Conf. on Image Processing (ICIP’2018) Athens, Greece, October 2018

[ pdf / hal ]

On Regression Losses for Deep Depth Estimation M. Pinheiro de Carvalho, B. Le Saux, P. Trouvé-Peloux, F. Champagnat, A. Almansa IEEE Int. Conf. on Image Processing (ICIP’2018) Athens, Greece, October 2018

[ pdf / hal / D3-Net code ]

Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks? M. Pinheiro de Carvalho, B. Le Saux, P. Trouvé-Peloux, F. Champagnat, A. Almansa IEEE Eur. Conf. on Computer Vision (ECCV’2018) / Workshop on 3D Reconstruction in the Wild Munich, Germany, September 2018

[ arxiv / pdf / pdf #2 / code and dataset ]

Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks R. Caye Daudt, B. Le Saux, A. Boulch, Y. Gousseau IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2018) Valencia, Spain, July 2018

[ pdf ]

Generative adversarial networks for realistic synthesis of hyperspectral samples N. Audebert, B. Le Saux, S. Lefèvre IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2018) Valencia, Spain, July 2018

[ arxiv pdf ]

Railway Detection: from filtering to segmentation networks B. Le Saux, A. Beaupère, A. Boulch, J. Brossard, A. Manier, G. Villemin IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2018) Valencia, Spain, July 2018

[ pdf ]

Learning speckle suppression in SAR images without ground truth: application to Sentinel-1 time-series A. Boulch, P. Trouvé, É. Koeniguer, F. Janez, B. Le Saux IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2018) Valencia, Spain, July 2018

[ pdf ]

Large-scale semantic classification: outcome of the first year of INRIA Aerial Image Labeling Benchmark B.H. Huang, K.K. Lu, N. Audebert, A. Khalel, Y. Tarabalka, J. Malof, A. Boulch, B. Le Saux, L. Collins, K. Bradbury, S. Lefèvre, M. El-Saban IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2018) Valencia, Spain, July 2018

[ Hal pdf ]

Estimation de profondeur monoculaire par réseau de neurones et l’apport du flou de défocalisation M. Pinheiro de Carvalho, B. Le Saux, P. Trouvé-Peloux, F. Champagnat, A. Almansa Congrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP’2018) Marne-la-Vallée, France, July 2018

[ Best Paper Award pdf #1 / pdf #2 / hal ]

Détection dense de changements par réseaux de neurones siamois R. Caye Daudt, B. Le Saux, A. Boulch, Y. Gousseau Congrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP’2018) Marne-la-Vallée, France, July 2018

[ Rodrigo’s site pdf ]

Segmentation sémantique profonde par régression sur cartes de distances signées N. Audebert, A. Boulch, B. Le Saux, S. Lefèvre Congrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP’2018) Marne-la-Vallée, France, July 2018

[ hal pdf ]

Open data for global multimodal land use classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest N. Yokoya, P. Ghamisi, J. Xia, S. Sukhanov, R. Heremans, C. Debes, B. Bechtel, B. Le Saux, G. Moser, D. Tuia, IEEE JSTARS, 2018

[ https://doi.org/10.1109/JSTARS.2018.2799698 (open access) or pdf #1 ]

Beyond RGB: Very high resolution urban remote sensing with multimodal deep networks Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre, ISPRS Journal of Photogrammetry and Remote Sensing, 2018

[ doi arxiv pdf #1 pdf #2 code ]

2017

SnapNet: Unstructured point cloud semantic labeling using deep segmentation networks Alexandre Boulch, Joris Guerry, Bertrand Le Saux, Nicolas Audebert, Computer and Graphics, 2017

[ doi pdf code ]

SnapNet-R: Consistent 3D Multi-View Semantic Labeling for Robotics Joris Guerry, Alexandre Boulch, Bertrand Le Saux, Julien Moras, aurélien Plyer, David Filliat, ICCV / 3D Reconstruction Meets Semantics workshop, Venice, Italy, Oct. 2017

[ cvf pdf #1 pdf #2 ]

“Look At This One”: Detection sharing between modality-independent classifiers for robotic people discovery Joris Guerry, Bertrand Le Saux, David Filliat, Eur. Conf. on Mobile Robotics (ECMR), Paris, France, Sept. 2017

[ hal pdf poster ]

Estimation de profondeur à partir d’une seule image avec un réseau adversaire M. Pinheiro de Carvalho, B. Le Saux, P. Trouvé-Peloux, A. Almansa, F. Champagnat, Colloque GRETSI, Juan-les-Pins, France, Sept. 2017

[ pdf ]

Couplage de données géographiques participatives et d’images aériennes par apprentissage profond Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre, Colloque GRETSI, Juan-les-Pins, France, Sept. 2017

[ pdf ]

RCNN RGBD pour la détection de personnes en conditions difficiles Joris Guerry, Bertrand Le Saux, David Filliat, Colloque GRETSI, Juan-les-Pins, France, Sept. 2017

[ pdf ]

Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre, CVPR / Earth Vision workshop, Hawaï, USA, July 2017

[ arxiv pdf ]

3D laser imaging techniques to improve USaR operations for wide-area surveillance and monitoring of collapsed buildings N. Riviere, A. Amditis, A. Amiez, G. Athanasiou, J. Berggren, A. Boulch, N. Bozabalian, D. Duarte, P.-E. Dupouy, P. Escalas, M. Gerke, F. Giroud, C. Grand, N. Kerle, Y. Lambert, F. Nex, B. Le Saux, A. Schilling , G. Told, Int. Conf. on Information Systems for Crisis Response and Management (ISCRAM), Albi, France, May 2017

[ pdf ]

Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest L. Mou, X. Zhu, M. Vakalopoulou, K. Karantzalos, N. Paragios, B. Le Saux, G. Moser, D. Tuia,, IEEE J. of Selected Topics in Applied Earth Observations and Remote Sensing, 2017

[ http://dx.doi.org/10.1109/JSTARS.2017.2696823 (open access) pdf ]

Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre, Remote Sensing 9 (4), 2017

[ web pdf #1 pdf #2 ]

Unstructured point cloud semantic labeling using deep segmentation networks Alexandre Boulch, Bertrand Le Saux, Nicolas Audebert, EuroGraphics/3D Object Recognition workshop (3DOR), Lyon, France, April 2017

[pdf ]

SHREC: Point-Cloud Shape Retrieval of Non-Rigid Toys F. A. Limberger, R. C. Wilson, M. Aono, N. Audebert, A. Boulch, B. Bustos, A. Giachetti, A. Godil, B. Le Saux, B. Li, Y. Lu, H.-D. Nguyen, V.-T. Nguyen, V.-K. Pham, I. Sipiran, A. Tatsuma, M.-T. Tran, and S. Velasco-Forero, EuroGraphics/3D Object Recognition workshop (3DOR) / SHREC competition, Lyon, France, April 2017

[ meta-data pdf ]

SHREC: 3D Hand Gesture Recognition Using a Depth and Skeletal Dataset Quentin De Smedt, Hazem Wannous, Jean-Philippe Vandeborre, J. Guerry, B. Le Saux, and D. Filliat, EuroGraphics/3D Object Recognition workshop (3DOR) / SHREC competition, Lyon, France, April 2017

[ meta-data pdf ]

Fusion of heterogeneous data in convolutional networks for urban semantic labeling Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre, Joint Urban Remote Sensing Event (JURSE’2017) Dubai, UAE, March 2017

[ 2nd Best Student Paper Award arxiv hal pdf ]

Deep learning for Urban Remote Sensing Nicolas Audebert, Alexandre Boulch, Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu, Sébastien Lefèvre, Renaud Marlet, Joint Urban Remote Sensing Event (JURSE’2017) Dubai, UAE, March 2017

[ pdf ]

Cartographie et interprétation de l’environnement par drone Martial Sanfourche, Bertrand Le Saux, Aurélien Plyer et Guy Le Besnerais, Revue Française de Photogramm. et de Télédétection (RFPT), n° spécial drones, 213-214,pp. 55-62, 2017

[ hal pdf ]

2016

Semantic segmentation of Earth-observation data using multimodal and multi-scale deep networks Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre, Asian Conf. on Computer Vision (ACCV’2016), Taipei, Taiwan, Nov. 2016

[ pdf ]

Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2D Contest M. Campos-Taberner, A. Romero-Soriano, G. Camps-Valls, A. Lagrange, B. Le Saux, A. Beaupère, A. Boulch, A. Chan-Hon-Tong, S. Herbin, H. Randrianarivo, M. Ferecatu, M. Shimoni, G. Moser, D. Tuia, IEEE J. of Selected Topics in Applied Earth Observations and Remote Sensing, 2016

[ pdf #1 or http://dx.doi.org/10.1109/JSTARS.2016.2569162 ]

On the usability of deep networks for object-based image analysis Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre, Conf. on Geo Object-Based Image Analysis (GEOBIA’2016) Enschede, Netherlands, Sept. 2016

[ Award for Best Contribution to the ISPRS 2D Semantic Labeling Contest pdf ]

How useful is region-based classification of remote sensing images in a deep learning framework? Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre, IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2016) Beijing, China, July 2016

[ pdf ]

Sélection d’algorithmes de classification par réseau de neurones Joris Guerry, Bertrand Le Saux, David Filliat, Rec. Formes et Int. Artificielle (RFIA), Clermont-Ferrand, France, July 2016

[ ]

Deep Learning for Remote Sensing Nicolas Audebert, Alexandre Boulch, Adrien Lagrange, Bertrand Le Saux, Sébastien Lefèvre, ONERA-DLR ODAS Workshop, Oberpfaffenhofen, Germany, June 2016

[ ]

Structural classifiers for contextual semantic labeling of aerial images Hicham Randrianarivo, Bertrand Le Saux, Nicolas Audebert, Michel Crucianu, Marin Ferecatu, ESA Big Data in Space (BiDS), Tenerife, Spain, March 2016

[ pdf ]

2015

Discriminatively-trained model mixture for object detection in aerial images Hicham Randrianarivo, Bertrand Le Saux, Michel Crucianu, Marin Ferecatu, Image Info. Mining (IIM), Bucharest, Romania, October 2015

[ pdf ]

Benchmarking classification of Earth-observation data: from learning explicit features to convolutional networks Adrien Lagrange, Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Adrien Chan Hon Tong, Stéphane Herbin, Hicham Randrianarivo, Marin Ferecatu, IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2015) Milan, Italy, July 2015

[ 2nd place Award in the Data Fusion 2D Contest 2015 link pdf ]

Réseaux de neurones profonds pour estimer la profondeur grâce au flou de défocalisation Thierry Dumas, Pauline Trouvé-Peloux, Bertrand Le Saux, Colloque Gretsi 2015, Lyon, France, September 2015

[ pdf ]

Détection de véhicules en imagerie aérienne par mélange de modèles discriminatifs Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu, Colloque Gretsi 2015, Lyon, September 2015

[ pdf ]

Environment Mapping and Interpretation by Drone Martial Sanfourche, Bertrand Le Saux, Aurélien Plyer, Guy Le Besnerais, Joint Urban Remote Sensing Event (JURSE’2015), Lausanne, April 2015

[ pdf ]

2014

Interactive Design of Object Classifiers in Remote Sensing Bertrand Le Saux, International Conference on Pattern Recognition (ICPR’2014), Stockholm, Sweden, August 2014

[ pdf ]

Multimodal Classification with Deformable Part Models for Urban Cartography Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu, IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2014), Quebec City, Canada, July 2014. Invited paper in the Data Fusion session.

[ pdf ]

Cartographie et interprétation de l’environnement par drone Martial Sanfourche, Bertrand Le Saux, Aurélien Plyer, Guy Le Besnerais, Congrès de la SFPT - colloque drones, Montpellier, France, June 2014.

[ pdf ]

2013

Rapid semantic mapping: learn environment classifiers on the fly Bertrand Le Saux and Martial Sanfourche, International Conference on Robots and Systems (IROS’2013), Tokyo, November 2013

[ pdf vid#1 vid#2 ]

Apprentissage interactif par Online Gradient Boost en télédétection Bertrand Le Saux, Colloque Gretsi 2013, Brest, September 2013

[ pdf ]

Urban change detection in SAR images by interactive learning Bertrand Le Saux, Hicham Randrianarivo, IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2013), Melbourne, Australia, July 2013

[ pdf ]

Man-made structure detection with deformable part-based models Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu, IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2013), Melbourne, Australia, July 2013

[ pdf ]

2012

Boosting for interactive man-made structure classification Nicolas Chauffert, Jonathan Israël, Bertrand Le Saux, IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2012), Munich, Germany, July 2012

[ pdf ]

GPU-accelerated One-Class SVM for exploration of remote sensing data Fabien Giannesini and Bertrand Le Saux, IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2012), Munich, Germany, July 2012

[ pdf ]

2011

Robust vehicle categorization from aerial images by 3D-template matching and multiple classifier system Bertrand Le Saux and Martial Sanfourche, IEEE International Symposium on Image and Signal Processing and Analysis (ISPA’2011), Dubrovnik, Croatia, September 2011

[ pdf ]

2009

Isotropic high resolution 3D confocal micro-rotation imaging for non-adherent living cells Bertrand Le Saux, Bernard Chalmond, Yong Yu, Alain Trouvé, Olivier Renaud, Spencer L. Shorte, Journal of Microscopy, 233, pp.404-416, 2009

[ pdf ]

2008

Micro-rotation Imaging Deconvolution Bertrand Le Saux, Bernard Chalmond, Yong Yu, Alain Trouvé, Olivier Renaud, Spencer L. Shorte, IEEE International Symposium on Biomedical Imaging (ISBI’08), Paris, France, May 2008

[ pdf ]

2006

Combining SVM and Graph Matching in a Multiple Classifier System for Image Content Recognition Bertrand Le Saux and Horst Bunke, Workshop on Statistical Pattern Recognition (S+SSPR’06) of the IAPR International Conference on Pattern Recognition (ICPR’06), Hong Kong, China, August 2006

[ pdf ps ]

2005

Feature selection for graph-based image classifiers Bertrand Le Saux and Horst Bunke, IAPR Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA’05), Estoril, Portugal, June 2005

[ pdf ps ]

2004

Image recognition for digital libraries Bertrand Le Saux and Giuseppe Amato, ACM MultiMedia/Workshop on Multimedia Information Retrieval (MIR’04), New-York, NY, USA, October 2004

[ pdf ps ]

Image classifiers for scene analysis Bertrand Le Saux and Giuseppe Amato, International Conference on Computer Vision and Graphics (ICCVG’04), Warsaw, Poland, September 2004

[ pdf ps ]

Image Annotation with Presence-Vector Classifiers Bertrand Le Saux and Giuseppe Amato, ERCIM news, issue 58, July 2004

[ pdf ps html ]

Image recognition for digital libraries Bertrand Le Saux and Giuseppe Amato, ISTI research report #2004-TR-24

[ pdf ]

Image database clustering with SVM-based class personalization Bertrand Le Saux and Nozha Boujemaa, IS&T/SPIE Conference on Storage and Retrieval Methods and Applications for Multimedia / Electronic Imaging symposium, San José, CA, USA, January 2004

[ pdf ps ]

2003

Classification non exclusive et personnalisation par apprentissage : Application à la navigation dans les bases d’images Bertrand Le Saux, PhD Thesis, July 2003

[ pdf ps summary ]

Adaptive Robust Clustering with Proximity-Based Merging for Video-Summary, Bertrand Le Saux, Nizar Grira and Nozha Boujemaa, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’2003), Saint-Louis, MO, USA, May 2003

[ pdf ps ]

2002

Unsupervised Robust Clustering for Image Database Categorization, Bertrand Le Saux and Nozha Boujemaa, IEEE-IAPR International Conference on Pattern Recognition (ICPR’2002), Québec, Canada, August 2002

[ pdf ps ]

Unsupervised Categorization for Image Database Overview, Bertrand Le Saux and Nozha Boujemaa, International Conference on Visual Information System (VISUAL’2002), Hsin-Chu, Taiwan, March 2002 - LNCS 2314

[ pdf ps ]

2001

Interactive Specific and Generic Image Retrieval, Nozha Boujemaa, Julien Fauqueur, Marin Ferecatu, François Fleuret, Valérie Gouet, Bertrand Le Saux and Hichem Sahbi, NSF/INRIA/Berkeley/IBM MMCBIR Workshop, INRIA Rocquencourt, France, September 2001

[ pdf ]

Image Database Browsing, Bertrand Le Saux and Nozha Boujemaa, NSF/INRIA/Berkeley/IBM MMCBIR Workshop, INRIA Rocquencourt, France, September 2001

[ pdf ps ]