Selected publications include:
IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI, Kai Jeggle, Mikolaj Czerkawski, Federico Serva, Bertrand Le Saux, David Neubauer, and Ulrike Lohmann, Artificial Intelligence for the Earth Systems, October 2025.
[ AIES Paper / doi / arxiv preprint / github project / 5 years of dense, reconstructed “pseudo-LiDAR” 3D data ]
Evaluating Language Biases in Remote Sensing VQA Christel Chappuis, Eliot Walt, Vincent Mendez, Sylvain Lobry, Bertrand Le Saux, Devis Tuia, IEEE Geoscience and Remote Sensing Magazine (GRSM), June 2025 (final version of the preprint: The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation).
[ GRSM article / doi / preprint on arxiv ]
Quanv4EO: Empowering Earth Observation by Means of Quanvolutional Neural Networks, Alessandro Sebastianelli, Francesco Mauro, Giulia Ciabatti, Dario Spiller, Bertrand Le Saux, Paolo Gamba, Silvia Liberata Ullo, IEEE Transactions on Geoscience and Remote Sensing, vol. 63, March 2025.
[ TGRS article / doi ]
Machine learning forecast of surface solar irradiance from meteo satellite data, A. Sebastianelli, F. Serva, A. Ceschini, Q. Paletta, M. Panella et B. Le Saux, Remote Sensing of Environment 315, p. 114431, December 2024.
[ RSE article / doi / Project page ]
Quantum Latent Diffusion Models, Francesca De Falco, Andrea Ceschini, Alessandro Sebastianelli, Bertrand Le Saux, Massimo Panella, Quantum Machine Intelligence, vol. 6, nr. 5, November 2024.
[ QMI article / doi / arxiv/ pdf ]
Artificial intelligence to advance Earth observation: a perspective, Devis Tuia, Konrad Schindler, Begüm Demir, Gustau Camps-Valls, Xiao Xiang Zhu, Mrinalini Kochupillai, Sašo Džeroski, Jan N. van Rijn, Holger H. Hoos, Fabio Del Frate, Mihai Datcu, Jorge-Arnulfo Quiané-Ruiz, Volker Markl, Bertrand Le Saux, Rochelle Schneider, IEEE Geoscience and Remote Sensing Magazine (GRSM), September 2024 (arXiv:2305.08413, May 2023).
[ GRSM article / doi / arxiv / pdf ]
Estimating Soil Parameters From Hyperspectral Images : A benchmark dataset and the outcome of the HYPERVIEW challenge, Jakub Nalepa , Lukasz Tulczyjew , Bertrand Le Saux , Nicolas Longépé , Bogdan Ruszczak , Agata M. Wijata , Krzysztof Smykala , Michal Myller ,Michal Kawulok , Ridvan Salih Kuzu , Frauke Albrecht, Caroline Arnold ,Mohammad Alasawedah, Suzanne Angeli, Delphine Nobileau, Achille Ballabeni, Alessandro Lotti , Alfredo Locarini , Dario Modenini ,Paolo Tortora , And Michal Gumiela, IEEE Geoscience and Remote Sensing Magazine (GRSM), vol. 12, issue 2, May 2024.
[ GRSM article / doi / permanently open HYPERVIEW benchmark ]
A Single-Step Multiclass SVM based on Quantum Annealing for Remote Sensing Data Classification Amer Delilbasic, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Vol. 16, November 2023 / QTML’23, Geneva, Swittzerland, Nov. 2023.
[ JSTARS article / doi / arxiv / pdf ]
Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts A. Gruca, F. Serva, …., B. Le Saux, D. Kopp, S. Hochreiter, D. Kreil, Proceedings of Machine Learning Research, vol. 220, Proceedings of the NeurIPS 2022 Competitions Track, 292-313, 2023.
[ PMLR abstract / PMLR pdf ]
2022 ECMWF-ESA workshop report: current status, progress and opportunities in machine learning for Earth system observation and prediction, Rochelle Schneider, Massimo Bonavita, Rossella Arcucci, Matthew Chantry, Marcin Chrust, Alan Geer, Bertrand Le Saux, and Claudia Vitolo, npj Climate and Atmospheric Science, vol. 6, July 2023.
[ npj article / 2022 ECMWF-ESA workshop at Reading ]
Report on the 2022 IEEE Geoscience and Remote Sensing Society Data Fusion Contest: Semisupervised Learning Hänsch, R.; Persello, C.; Vivone, G.; Castillo Navarro, J.; Boulch, A.; Lefèvre, S.; Le Saux, B., IEEE Geoscience and Remote Sensing Magazine, vol. 10, no. 4, pp. 270-273, Dec. 2022, doi: 10.1109/MGRS.2022.3219935.
[ IEEE GRSM version / doi / DFC 2022 benchmark / data ]
ESA-ECMWF Report on recent progress and research directions in machine learning for Earth System observation and prediction, R. Schneider, M. Bonavita, A. Geer, R. Arcucci, P. Dueben, C. Vitolo, B. Le Saux, B. Demir & PP. Mathieu, npj climate and atmospheric science 5 (51), June 2022.
[ NPJ CAS version / doi / workshop website ml4esop.esa.int ]
Prompt-RSVQA: Prompting Visual Context to a Language Model for Remote Sensing Visual Question Answering C. Chappuis, V. Zermatten, S. Lobry, B. Le Saux, D. Tuia, CVPR 2022 / Earth Vision workshop, June 2022.
[ CVF page with abstract / CVPR/EV22 pdf / arxiv to appear ]
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing G. Lenczner, A. Chan-Hon-Tong, B. Le Saux, N. Luminari, G. Le Besnerais, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), March 2022.
[ editor version / arxiv / DIAL code ]
Energy-based Models in Earth Observation: from Generation to Semi-supervised Learning J. Castillo-Navarro, B. Le Saux, A. Boulch, S. Lefèbre, IEEE Trans. on Geosciences and Remote Sensing (TGRS), November 2021.
[ TGRS pdf / doi / arxiv (to appear) ]
On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification, A. Sebastianelli, D. A. Zaidenberg, D. Spiller, B. Le Saux, S. L. Ullo, IEEE JSTARS, 15, Sep. 2021
[ JSTARS pdf / arxiv / arxiv pdf / code ]
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 ]
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 / doi ]
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 / doi / local file / arxiv / hal / MiniFrance dataset ]
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 ]
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 / Nice, France, August 2020
[ local pdf / ISPRS arch. / hal / SEN12-FLOOD dataset ]
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 ]
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! ]
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 ]
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 ]
SnapNet: Unstructured point cloud semantic labeling using deep segmentation networks Alexandre Boulch, Joris Guerry, Bertrand Le Saux, Nicolas Audebert, Computer and Graphics, 2017
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
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
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
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 ]
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 ]
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
[ pdf Award for Best Contribution to the ISPRS 2D Semantic Labeling Contest ]
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
[ pdf 2nd place Award in the Data Fusion 2D Contest 2015 link ]
Interactive Design of Object Classifiers in Remote Sensing Bertrand Le Saux, International Conference on Pattern Recognition (ICPR’2014), Stockholm, Sweden, August 2014
[ pdf ]
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
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 ]
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
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
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
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 ]