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Recent publications include:

2019

Distance transform regression for spatially-aware deep semantic segmentation N. Audebert, A. Boulch, B. Le Saux, S. Lefèvre, Computer Vision and Image Understanding (CVIU), vol. 189, Dec. 2019

[ doi / arxiv / pdf ]

Multitask learning for large-scale semantic change detection R. Caye Daudt, B. Le Saux, A. Boulch, Y. Gousseau Computer Vision and Image Understanding (CVIU), vol. 187, Oct. 2019

[ doi / arxiv / pdf / HRSCD dataset coming soon! ]

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

[ doi 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 ]