Recent    Selected    All   

Recent publications include:

2021

How to find a good image-text embedding for remote sensing visual question answering? C. Chappuis, , S. Lobry, B. Kellenberger, B. Le Saux, D. Tuia, ECML-PKDD 2021 / MACLEAN workshop, Sept. 2021.

[ pdf ]

Deep Learning‐based Semantic Segmentation in Remote Sensing D. Tuia, D. Marcos, K. Schindler, B. Le Saux chapter of: Deep learning for the Earth Sciences G. Camps-Valls, D. Tuia, XX Zhu, M. Reichstein (ed), Wiley, 2021

[ doi ]

Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport R. Leroy, P. Trouvé, F. Champagnat, B. Le Saux, M. Carvalho, MVA 2021, August 2021.

[ MVA’21 pdf / arxiv / arxiv pdf ]

Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing D. Zaidenberg, A. Sebastianelli, D. Spiller, B. Le Saux, S. L. Ullo, IGARSS 2021, July 2021.

[ pdf / arxiv / arxiv pdf / IGARSS info ]

Classification and Generation of Earth-observation Images using a Join Energy-based Model J. Castillo-Navarro, B. Le Saux, A. Boulch, S. Lefèbre, IGARSS 2021, July 2021.

[ pdf / IGARSS info ]

Long-term Burned Area Reconstruction through Deep Learning S. Lampe, B. Le Saux, I. Vanderkelen, W. Thiery, ICML 2021 / Climate Change AI workshop, July 2021.

[ abstract / pdf / slides ]

Weakly supervised change detection using guided anisotropic diffusion R. Caye Daudt, B. Le Saux, A. Boulch, Y. Gousseau, Maching Learning Journal, June 2021.

[ editor version ]

Energy-based Models for Earth Observation Applications J. Castillo-Navarro, B. Le Saux, A. Boulch, S. Lefèbre, ICLR 2021 / Energy-based Model workshop, April 2021.

[ abstract / pdf ]

Machine learning for earth system observation and prediction M. Bonavita, R. Arcucci, A. Carrassi, P. Dueben, A. J Geer, B. Le Saux, N. Longépé, P.-P. Mathieu, L. Raynaud, Bulletin of the American Meteorological Society (BAMS) 102 (4) April 2021.

[ article / doi / ECMWF-ESA Workshop on Machine Learning for Earth System Observation and Prediction (ML4ESOP) ]

Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study J. Castillo-Navarro, B. Le Saux, A. Boulch, N. Audebert, S. Lefèbre, Maching Learning Journal, April 2021.

[ editor version / local file / arxiv / hal / MiniFrance dataset ]

2020

Street to Cloud: Improving Flood Maps With Crowdsourcing and Semantic Segmentation V. Sunkara, M. Purri, B. Le Saux, J. Adams, NeurIPS 2020 Workshop on Climate Change AI, virtual, December 2020

[ CCAI page with video / arxiv ]

Large-Scale Semantic 3-D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest - Part B Yanchao Lian, Tuo Feng, Jinliu Zhou, Meixia Jia, Aijin Li, Zhaoyang Wu, Licheng Jiao, M. Brown, G. Hager, N. Yokoya, R. Hänsch, B. Le Saux IEEE JSTARS, 14, 1158-1170 November 2020

[ doi (open access) / DFC2019 / Dataset on dataport ]

Large-Scale Semantic 3-D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest - Part A H. Chen, M. Lin, H. Zhang, P. D’Angelo, D. Cerra, S. M. Azimi, M. Brown, G. Hager, N. Yokoya, R. Hänsch, B. Le Saux IEEE JSTARS, 12, 922-935 October 2020

[ doi (open access) / DFC2019 / Dataset on dataport ]

Interactive Learning for Semantic Segmentation in Earth Observation G. Lenczner, B. Le Saux, N. Luminari, A. Chan-Hon-Tong, G. Le Besnerais, ECML/PKDD MACLEAN, Virtual / Ghent, Belgium, September 2020

[ Best Student Paper Award / local pdf / ext pdf / DISIR/DISCA video / DISCA code ]

On Auxiliary Losses for Semi-Supervised Semantic Segmentation J. Castillo-Navarro, B. Le Saux, A. Boulch, S. Lefèbre, ECML/PKDD MACLEAN, Virtual / Ghent, Belgium, September 2020

[ local pdf / ext pdf / video ]

DISIR: Deep image segmentation with interactive refinement G. Lenczner, B. Le Saux, N. Luminari, A. Chan-Hon-Tong, G. Le Besnerais, ISPRS Annals, Virtual / Nice, France, August 2020

[ local pdf / ISPRS ann. / ISPRS video / arxiv / DISIR code ]

Flood detection in times series of optical and SAR images C. Rambour, N. Audebert, É. Koeniguer, B. Le Saux, M. Crucianu, M. Datcu, ISPRS Archives, Virtual / Bice, France, August 2020

[ local pdf / ISPRS arch. / hal / SEN12-FLOOD dataset ]

A real-world hyperspectral imaging processing workflow for vegetation stress and hydrocarbon indirect detection D. Dubucq, N. Audebert, V. Achard, S. Fabre, A. Credoz, Ph. Deliot, B. Le Saux, ISPRS Archives, Virtual / Nice, France, August 2020

[ local pdf / ISPRS arch. / hal ]

Segmentation sémantique d’images aériennes avec améliorations interactivesG. Lenczner, B. Le Saux, N. Luminari, A. Chan-Hon-Tong, G. Le Besnerais, RFIAP, Virtual / Vannes, France, June 2020

[ pdf / video ]

Pix2Point : prédiction monoculaire de scènes 3D par réseaux de neurones hybrides et transport optimal, Rémy Leroy, Bertrand Le Saux, Marcela Carvalho, Pauline Trouvé-Peloux, and Frédéric Champagnat, RFIAP, Virtual / Vannes, France, June 2020

[ pdf ]

2019

Machine Learning Models for Scene Understanding Bertrand Le Saux, Habilitation Thesis (HDR, University of Paris-Saclay), December 2019

[ pdf / summary ]

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), December 2019

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

Multitask learning of Height and Semantics From Aerial Images M. Pinheiro de Carvalho, B. Le Saux, P. Trouvé-Peloux, F. Champagnat, A. Almansa Geoscience and Remote Sensing Letters (GRSL), Nov. 2019

[ doi / hal / pdf #1 / code on github ]

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 ]

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 / hal ]

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 / hal ]

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 ]