Unsupervised Robust Clustering for Image Database Categorization. - Bertrand Le Saux; Nozha Boujemaa (ICPR (1), 2002)

Unsupervised Categorization for Image Database Overview. - Bertrand Le Saux; Nozha Boujemaa (VISUAL, 2002)

Adaptive robust clustering with proximity-based merging for video-summary. - Bertrand Le Saux; Nizar Grira; Nozha Boujemaa (FUZZ-IEEE, 2003)

Image Classifiers for Scene Analysis. - Bertrand Le Saux; Giuseppe Amato 001 (ICCVG, 2004)

Image recognition for digital libraries. - Bertrand Le Saux; Giuseppe Amato 001 (Multimedia Information Retrieval, 2004)

Image database clustering with SVM-based class personalization. - Bertrand Le Saux; Nozha Boujemaa (Storage and Retrieval Methods and Applications for Multimedia, 2004)

Feature Selection for Graph-Based Image Classifiers. - Bertrand Le Saux; Horst Bunke (IbPRIA (2), 2005)

Combining SVM and Graph Matching in a Bayesian Multiple Classifier System for Image Content Recognition. - Bertrand Le Saux; Horst Bunke (SSPR/SPR, 2006)

Micro-rotation imaging deconvolution. - Bertrand Le Saux; Bernard Chalmond; Yong Yu 006; Alain Trouvé; Olivier Renaud; Spencer L. Shorte (ISBI, 2008)

Robust vehicle categorization from aerial images by 3D-template matching and multiple classifier system. - Bertrand Le Saux; Martial Sanfourche (ISPA, 2011)

Boosting for interactive man-made structure classification. - Nicolas Chauffert; Jonathan Israel; Bertrand Le Saux (IGARSS, 2012)

GPU-accelerated one-class SVM for exploration of remote sensing data. - Fabien Giannesini; Bertrand Le Saux (IGARSS, 2012)

Urban structure detection with deformable part-based models. - Hicham Randrianarivo; Bertrand Le Saux; Marin Ferecatu (IGARSS, 2013)

Urban change detection in SAR images by interactive learning. - Bertrand Le Saux; Hicham Randrianarivo (IGARSS, 2013)

Rapid semantic mapping: Learn environment classifiers on the fly. - Bertrand Le Saux; Martial Sanfourche (IROS, 2013)

Interactive Design of Object Classifiers in Remote Sensing. - Bertrand Le Saux (ICPR, 2014)

Multimodal classification with deformable part-based models for urban cartography. - Hicham Randrianarivo; Bertrand Le Saux; Marin Ferecatu (IGARSS, 2014)

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 (IGARSS, 2015)

Environment mapping & interpretation by drone. - Martial Sanfourche; Bertrand Le Saux; Aurélien Plyer; Guy Le Besnerais (JURSE, 2015)

Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks. - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (ACCV (1), 2016)

How useful is region-based classification of remote sensing images in a deep learning framework? - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (IGARSS, 2016)

On the usability of deep networks for object-based image analysis. - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (CoRR, 2016)

Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest. - Manuel Campos-Taberner; Adriana Romero-Soriano; Carlo Gatta; Gustau Camps-Valls; Adrien Lagrange; Bertrand Le Saux; Anne Beaupère; Alexandre Boulch; Adrien Chan-Hon-Tong; Stéphane Herbin; Hicham Randrianarivo; Marin Ferecatu; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks. - Alexandre Boulch; Bertrand Le Saux; Nicolas Audebert (3DOR@Eurographics, 2017)

SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys. - Frederico A. Limberger; Richard C. Wilson 001; Masaki Aono; Nicolas Audebert; Alexandre Boulch; Benjamin Bustos; Andrea Giachetti 001; Afzal Godil; Bertrand Le Saux; Bo Li 013; Yijuan Lu; Hai-Dang Nguyen; et al. (3DOR@Eurographics, 2017)

Deformable Shape Retrieval with Missing Parts. - Emanuele Rodolà; Luca Cosmo; Or Litany; Michael M. Bronstein; Alexander M. Bronstein; Nicolas Audebert; A. Ben Hamza; Alexandre Boulch; Umberto Castellani; Minh N. Do; Duc Anh Duong; Takahiko Furuya; et al. (3DOR@Eurographics, 2017)

3D Hand Gesture Recognition Using a Depth and Skeletal Dataset. - Quentin De Smedt; Hazem Wannous; Jean-Philippe Vandeborre; Joris Guerry; Bertrand Le Saux; David Filliat (3DOR@Eurographics, 2017)

Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps. - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (CVPR Workshops, 2017)

"Look at this one" detection sharing between modality-independent classifiers for robotic discovery of people. - Joris Guerry; Bertrand Le Saux; David Filliat (ECMR, 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 Workshops, 2017)

Placeholder: Not to be reviewed (Data fusion contest 2017). - Bertrand Le Saux (IGARSS, 2017)

Deep learning for urban remote sensing. - Nicolas Audebert; Alexandre Boulch; Hicham Randrianarivo; Bertrand Le Saux; Marin Ferecatu; Sébastien Lefèvre; Renaud Marlet (JURSE, 2017)

Fusion of heterogeneous data in convolutional networks for urban semantic labeling. - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (JURSE, 2017)

Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper). - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (CoRR, 2017)

Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks. - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (CoRR, 2017)

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

Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest. - Lichao Mou; Xiaoxiang Zhu 001; Maria Vakalopoulou; Konstantinos Karantzalos; Nikos Paragios; Bertrand Le Saux; Gabriele Moser; Devis Tuia (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Deep Depth from Defocus: How Can Defocus Blur Improve 3D Estimation Using Dense Neural Networks? - Marcela Carvalho; Bertrand Le Saux; Pauline Trouvé-Peloux; Andrés Almansa; Frédéric Champagnat (ECCV Workshops (1), 2018)

On Regression Losses for Deep Depth Estimation. - Marcela Carvalho; Bertrand Le Saux; Pauline Trouvé-Peloux; Andrés Almansa; Frédéric Champagnat (ICIP, 2018)

Fully Convolutional Siamese Networks for Change Detection. - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch (ICIP, 2018)

Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (IGARSS, 2018)

Learning Speckle Suppression in Sar Images Without Ground Truth: Application to Sentinel-1 Time-Series. - Alexandre Boulch; Pauline Trouvé; Elise Colin Koeniguer; Fabrice Janez; Bertrand Le Saux (IGARSS, 2018)

Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks. - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (IGARSS, 2018)

Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. - Bohao Huang; Kangkang Lu 001; Nicolas Audebert; Andrew Khalel; Yuliya Tarabalka; Jordan M. Malof; Alexandre Boulch; Bertrand Le Saux; Leslie M. Collins; Kyle Bradbury; Sébastien Lefèvre; Motaz El-Saban (IGARSS, 2018)

Railway Detection: From Filtering to Segmentation Networks. - Bertrand Le Saux; Anne Beaupère; Alexandre Boulch; Jérémie Brossard; Antoine Manier; Guilhem Villemin (IGARSS, 2018)

SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks. - Alexandre Boulch; Joris Guerry; Bertrand Le Saux; Nicolas Audebert (Comput. Graph., 2018)

High Resolution Semantic Change Detection. - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (CoRR, 2018)

Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest. - Naoto Yokoya; Pedram Ghamisi; Junshi Xia; Sergey Sukhanov; Roel Heremans; Ivan Tankoyeu; Benjamin Bechtel; Bertrand Le Saux; Gabriele Moser; Devis Tuia (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Modèles d'Apprentissage Machine pour la Compréhension de Scènes. (Machine Learning Models for Scene Understanding). - Bertrand Le Saux (2019)

Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection. - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (CVPR Workshops, 2019)

Learning to Understand Earth Observation Images with Weak and Unreliable Ground Truth. - Rodrigo Caye Daudt; Adrien Chan-Hon-Tong; Bertrand Le Saux; Alexandre Boulch (IGARSS, 2019)

What Data are needed for Semantic Segmentation in Earth Observation? - Javiera Castillo-Navarro; Nicolas Audebert; Alexandre Boulch; Bertrand Le Saux; Sébastien Lefèvre (JURSE, 2019)

Deep Learning for Classification of Hyperspectral Data: A Comparative Review. - Nicolas Audebert; Bertrand Le Saux; Sébastien Lefèvre (CoRR, 2019)

Technical Report: Co-learning of geometry and semantics for online 3D mapping. - Marcela Carvalho; Maxime Ferrera; Alexandre Boulch; Julien Moras; Bertrand Le Saux; Pauline Trouvé-Peloux (CoRR, 2019)

Multi-Task Learning of Height and Semantics from Aerial Images. - Marcela Carvalho; Bertrand Le Saux; Pauline Trouvé-Peloux; Frédéric Champagnat; Andrés Almansa (CoRR, 2019)

Distance transform regression for spatially-aware deep semantic segmentation. - Nicolas Audebert; Alexandre Boulch; Bertrand Le Saux; Sébastien Lefèvre (Comput. Vis. Image Underst., 2019)

Multitask learning for large-scale semantic change detection. - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (Comput. Vis. Image Underst., 2019)

Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest. - Yonghao Xu; Bo Du 001; Liangpei Zhang 001; Daniele Cerra; Miguel Pato; Emiliano Carmona; Saurabh Prasad; Naoto Yokoya; Ronny Hänsch; Bertrand Le Saux (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

ONERA.ROOM. - Joris Guerry; Bertrand Le Saux (IEEE DataPort, 2019)

Data Fusion Contest 2017 (DFC2017). - Devis Tuia; Gabriele Moser; Bertrand Le Saux; Benjamin Bechtel (IEEE DataPort, 2019)

Data Fusion Contest 2016 (DFC2016). - Devis Tuia; Gabriele Moser; Bertrand Le Saux; Roberto Fabrizi; Sven Cowan (IEEE DataPort, 2019)

On Auxiliary Losses for Semi-Supervised Semantic Segmentation. - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Sébastien Lefèvre (MACLEAN@PKDD/ECML, 2020)

Interactive Learning for Semantic Segmentation in Earth Observation. - Gaston Lenczner; Adrien Chan-Hon-Tong; Nicola Luminari; Bertrand Le Saux; Guy Le Besnerais (MACLEAN@PKDD/ECML, 2020)

DISIR: Deep Image Segmentation with Interactive Refinement. - Gaston Lenczner; Bertrand Le Saux; Nicola Luminari; Adrien Chan-Hon-Tong; Guy Le Besnerais (CoRR, 2020)

Street to Cloud: Improving Flood Maps With Crowdsourcing and Semantic Segmentation. - Veda Sunkara; Matthew Purri; Bertrand Le Saux; Jennifer Adams (CoRR, 2020)

Multitask Learning of Height and Semantics From Aerial Images. - Marcela Carvalho; Bertrand Le Saux; Pauline Trouvé-Peloux; Frédéric Champagnat; Andrés Almansa (IEEE Geosci. Remote. Sens. Lett., 2020)

Foreword to the Special Issue on Computer Vision-Based Approaches for Earth Observation. - Devis Tuia; Ronny Hänsch; Naoto Yokoya; Myron Brown; Bertrand Le Saux (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

OSCD - Onera Satellite Change Detection. - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (IEEE DataPort, 2020)

2018 IEEE GRSS Data Fusion Challenge - Fusion of Multispectral LiDAR and Hyperspectral Data. - Saurabh Prasad; Bertrand Le Saux; Naoto Yokoya; Ronny Hänsch (IEEE DataPort, 2020)

SEN12-FLOOD : a SAR and Multispectral Dataset for Flood Detection. - Clément Rambour; Nicolas Audebert; Elise Colin Koeniguer; Bertrand Le Saux; Michel Crucianu; Mihai Datcu (IEEE DataPort, 2020)

Classification and Generation of Earth Observation Images Using a Joint Energy-Based Model. - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Sébastien Lefèvre (IGARSS, 2021)

Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing. - Daniela Alessandra Zaidenberg; Alessandro Sebastianelli; Dario Spiller; Bertrand Le Saux; Silvia Liberata Ullo (IGARSS, 2021)

Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport. - Rémy Leroy; Pauline Trouvé-Peloux; Frédéric Champagnat; Bertrand Le Saux; Marcela Carvalho (MVA, 2021)

Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. - Aleksandra Gruca; Federico Serva; Llorenç Lliso; Pilar Rípodas; Xavier Calbet; Pedro Herruzo; Jirí Pihrt; Rudolf Raevskiy; Petr Simánek; Matej Choma; Yang Li; Haiyu Dong; et al. (NeurIPS (Competition and Demos), 2021)

How to find a good image-text embedding for remote sensing visual question answering? - Christel Chappuis; Sylvain Lobry; Benjamin Kellenberger; Bertrand Le Saux; Devis Tuia (MACLEAN@PKDD/ECML, 2021)

Weakly Supervised Change Detection Using Guided Anisotropic Difusion. - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (CoRR, 2021)

Large-Scale Semantic 3-D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest - Part A. - Saket Kunwar; Hongyu Chen 003; Manhui Lin; Hongyan Zhang 001; Pablo d'Angelo; Daniele Cerra; Seyed Majid Azimi; Myron Brown; Gregory D. Hager; Naoto Yokoya; Ronny Hänsch; Bertrand Le Saux (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Large-Scale Semantic 3-D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest - Part B. - Yanchao Lian; Tuo Feng 001; Jinliu Zhou; Meixia Jia; Aijin Li; Zhaoyang Wu; Licheng Jiao; Myron Brown; Gregory D. Hager; Naoto Yokoya; Ronny Hänsch; Bertrand Le Saux (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Prompt-RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering. - Christel Chappuis; Valérie Zermatten; Sylvain Lobry; Bertrand Le Saux; Devis Tuia (CVPR Workshops, 2022)

The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images. - Jakub Nalepa; Bertrand Le Saux; Nicolas Longépé; Lukasz Tulczyjew; Michal Myller; Michal Kawulok; Krzysztof Smykala; Michal Gumiela (ICIP, 2022)

Quantum Convolutional Circuits for Earth Observation Image Classification. - Su Yeon Chang; Bertrand Le Saux; Sofia Vallecorsa; Michele Grossi (IGARSS, 2022)

Language Transformers for Remote Sensing Visual Question Answering. - Christel Chappuis; Vincent Mendez; Eliot Walt; Sylvain Lobry; Bertrand Le Saux; Devis Tuia (IGARSS, 2022)

Weakly-Supervised Continual Learning for Class-Incremental Segmentation. - Gaston Lenczner; Adrien Chan-Hon-Tong; Nicola Luminari; Bertrand Le Saux (IGARSS, 2022)

Beyond Ansätze: Learning Quantum Circuits as Unitary Operators. - Bálint Máté; Bertrand Le Saux; Maxwell Henderson (CoRR, 2022)

Self-supervised learning - A way to minimize time and effort for precision agriculture? - Michael L. Marszalek; Bertrand Le Saux; Pierre-Philippe Mathieu; Artur Nowakowski; Daniel Springer (CoRR, 2022)

Rapid training of quantum recurrent neural network. - Michal Siemaszko; Thomas McDermott; Adam Buraczewski; Bertrand Le Saux; Magdalena Stobinska (CoRR, 2022)

Self-Configuring nnU-Nets Detect Clouds in Satellite Images. - Bartosz Grabowski; Maciej Ziaja; Michal Kawulok; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (CoRR, 2022)

Graph Neural Networks Extract High-Resolution Cultivated Land Maps From Sentinel-2 Image Series. - Lukasz Tulczyjew; Michal Kawulok; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (IEEE Geosci. Remote. Sens. Lett., 2022)

A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. - Lukasz Tulczyjew; Michal Kawulok; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (IEEE Geosci. Remote. Sens. Lett., 2022)

Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study. - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Nicolas Audebert; Sébastien Lefèvre (Mach. Learn., 2022)

Deep Learning for Archaeological Object Detection on LiDAR: New Evaluation Measures and Insights. - Marco Fiorucci; Wouter B. Verschoof-van der Vaart; Paolo Soleni; Bertrand Le Saux; Arianna Traviglia (Remote. Sens., 2022)

DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing. - Gaston Lenczner; Adrien Chan-Hon-Tong; Bertrand Le Saux; Nicola Luminari; Guy Le Besnerais (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

On Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification. - Alessandro Sebastianelli; Daniela Alessandra Zaidenberg; Dario Spiller; Bertrand Le Saux; Silvia Liberata Ullo (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Energy-Based Models in Earth Observation: From Generation to Semisupervised Learning. - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Sébastien Lefèvre (IEEE Trans. Geosci. Remote. Sens., 2022)

Data Fusion Contest 2019 (DFC2019). - Bertrand Le Saux; Naoto Yokoya; Ronny Hänsch; Myron Brown (IEEE DataPort, 2022)

MiniFrance. - Javiera Castillo-Navarro; Bertrand Le Saux; Alexandre Boulch; Nicolas Audebert; Sébastien Lefèvre (IEEE DataPort, 2022)

HRSCD - High Resolution Semantic Change Detection Dataset. - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (IEEE DataPort, 2022)

Multi-task prompt-RSVQA to explicitly count objects on aerial images. - Christel Chappuis; Charlotte Sertic; Nicola Santacroce; Javiera Castillo Navarro; Sylvain Lobry; Bertrand Le Saux; Devis Tuia (BMVC Workshop, 2023)

Knowledge Distillation for Memory-Efficient On-Board Image Classification of Mars Imagery. - Piotr Bosowski; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (IGARSS, 2023)

Optimizing Kernel-Target Alignment for Cloud Detection in Multispectral Satellite Images. - Artur Miroszewski; Jakub Mielczarek; Filip Szczepanek; Grzegorz Czelusta; Bartosz Grabowski; Bertrand Le Saux; Jakub Nalepa (IGARSS, 2023)

Cloud Detection in Multispectral Satellite Images Using Support Vector Machines with Quantum Kernels. - Artur Miroszewski; Jakub Mielczarek; Filip Szczepanek; Grzegorz Czelusta; Bartosz Grabowski; Bertrand Le Saux; Jakub Nalepa (IGARSS, 2023)

Unbiased Validation of Hyperspectral Unmixing Algorithms. - Lukasz Tulczyjew; Michal Kawulok; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (IGARSS, 2023)

Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images. - Su Yeon Chang; Michele Grossi; Bertrand Le Saux; Sofia Vallecorsa (QCE, 2023)

Artificial intelligence to advance Earth observation: a perspective. - Devis Tuia; Konrad Schindler; Begüm Demir; Gustau Camps-Valls; Xiao Xiang Zhu 001; Mrinalini Kochupillai; Saso Dzeroski; Jan N. van Rijn; Holger H. Hoos; Fabio Del Frate; Mihai Datcu; Jorge-Arnulfo Quiané-Ruiz; et al. (CoRR, 2023)

Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection. - Bartosz Grabowski; Maciej Ziaja; Michal Kawulok; Piotr Bosowski; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (CoRR, 2023)

IceCloudNet: Cirrus and mixed-phase cloud prediction from SEVIRI input learned from sparse supervision. - Kai Jeggle; Mikolaj Czerkawski; Federico Serva; Bertrand Le Saux; David Neubauer; Ulrike Lohmann (CoRR, 2023)

Deep-Learning-based Change Detection with Spaceborne Hyperspectral PRISMA data. - Juan Francisco Amieva; A. Austoni; Maria A. Brovelli; Luigi Ansalone; P. Naylor; Federico Serva; Bertrand Le Saux (CoRR, 2023)

Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection. - Fulvio Sanguigni; Mikolaj Czerkawski; Lorenzo Papa; Irene Amerini; Bertrand Le Saux (CoRR, 2023)

Estimating optical vegetation indices with Sentinel-1 SAR data and AutoML. - Daniel Paluba; Bertrand Le Saux; Francesco Sarti; Premysl Stych (CoRR, 2023)

Quantum Machine Learning for Remote Sensing: Exploring potential and challenges. - Artur Miroszewski; Jakub Nalepa; Bertrand Le Saux; Jakub Mielczarek (CoRR, 2023)

The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation. - Christel Chappuis; Eliot Walt; Vincent Mendez; Sylvain Lobry; Bertrand Le Saux; Devis Tuia (CoRR, 2023)

Space and Artificial Intelligence (Dagstuhl Seminar 23461). - Saso Dzeroski; Holger H. Hoos; Bertrand Le Saux; Leendert van der Torre; Ana Kostovska (Dagstuhl Reports, 2023)

Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines. - Artur Miroszewski; Jakub Mielczarek; Grzegorz Czelusta; Filip Szczepanek; Bartosz Grabowski; Bertrand Le Saux; Jakub Nalepa (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Weakly supervised change detection using guided anisotropic diffusion. - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau (Mach. Learn., 2023)

Detection of Forest Fires through Deep Unsupervised Learning Modeling of Sentinel-1 Time Series. - Thomas Di Martino; Bertrand Le Saux; Régis Guinvarc'h; Laetitia Thirion-Lefevre; Elise Colin (ISPRS Int. J. Geo Inf., 2023)

Rapid training of quantum recurrent neural networks. - Michal Siemaszko; Adam Buraczewski; Bertrand Le Saux; Magdalena Stobinska (Quantum Mach. Intell., 2023)

A Semi-Supervised Deep Learning Framework for Change Detection in Open-Pit Mines Using SAR Imagery. - Gianluca Murdaca; Federico Ricciuti; Alessio Rucci; Bertrand Le Saux; Alfio Fumagalli; Claudio Maria Prati (Remote. Sens., 2023)

Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning. - Amer Delilbasic; Bertrand Le Saux; Morris Riedel; Kristel Michielsen; Gabriele Cavallaro (IGARSS, 2024)

Learning from Unlabelled data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images. - Nikolaos Dionelis; Francesco Pro; Luca Maiano; Irene Amerini; Bertrand Le Saux (IGARSS, 2024)

PhilEO Bench: Evaluating Geo-Spatial Foundation Models. - Casper Fibaek; Luke Camilleri; Andreas Luyts; Nikolaos Dionelis; Bertrand Le Saux (IGARSS, 2024)

Estimating Soil Parameters from Hyperspectral Imagesusing Ensembles of Classic and Deep Machine Learning Models. - Wiktor Gacek; Lukasz Tulczyjew; Agata M. Wijata; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (IGARSS, 2024)

Soil Analysis with Very Few Labels Using Semi-Supervised Hyperspectral Image Classification. - Bartosz Grabowski; Agata M. Wijata; Lukasz Tulczyjew; Bertrand Le Saux; Jakub Nalepa (IGARSS, 2024)

A Hybrid MLP-Quantum Approach in Graph Convolutional Neural Networks for Oceanic Niño Index (ONI) Prediction. - Francesco Mauro; Alessandro Sebastianelli; Bertrand Le Saux; Paolo Gamba; Silvia Liberata Ullo (IGARSS, 2024)

Utility of Quantum Kernel Machines in Remote Sensing Applications. - Artur Miroszewski; Bertrand Le Saux; Nicolas Longépé; Jakub Nalepa (IGARSS, 2024)

A Semantic Segmentation-Guided Approach for Ground-to-Aerial Image Matching. - Francesco Pro; Nikolaos Dionelis; Luca Maiano; Bertrand Le Saux; Irene Amerini (IGARSS, 2024)

Detection of Bare Soil in Hyperspectral Images Using Quantum-Kernel Support Vector Machines. - Agata M. Wijata; Artur Miroszewski; Bertrand Le Saux; Nicolas Longépé; Bogdan Ruszczak; Jakub Nalepa (IGARSS, 2024)

Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities. - Zhitong Xiong; Yi Wang 072; Fahong Zhang 001; Adam J. Stewart; Joëlle Hanna; Damian Borth; Ioannis Papoutsis; Bertrand Le Saux; Gustau Camps-Valls; Xiao Xiang Zhu 001 (CoRR, 2024)

Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI. - Nikolaos Dionelis; Casper Fibaek; Luke Camilleri; Andreas Luyts; Jente Bosmans; Bertrand Le Saux (CoRR, 2024)

In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods. - Artur Miroszewski; Marco Fellous Asiani; Jakub Mielczarek; Bertrand Le Saux; Jakub Nalepa (CoRR, 2024)

From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks. - Andrea Ceschini; Francesco Mauro; Francesca De Falco; Alessandro Sebastianelli; Alessio Verdone; Antonello Rosato; Bertrand Le Saux; Massimo Panella; Paolo Gamba; Silvia Liberata Ullo (CoRR, 2024)

IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI. - Kai Jeggle; Mikolaj Czerkawski; Federico Serva; Bertrand Le Saux; David Neubauer; Ulrike Lohmann (CoRR, 2024)

Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection. - Bartosz Grabowski; Maciej Ziaja; Michal Kawulok; Piotr Bosowski; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (Eng. Appl. Artif. Intell., 2024)

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 J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Quantum Hybrid Diffusion Models for Image Synthesis. - Francesca De Falco; Andrea Ceschini; Alessandro Sebastianelli; Bertrand Le Saux; Massimo Panella (Künstliche Intell., 2024)

Quantum latent diffusion models. - Francesca De Falco; Andrea Ceschini; Alessandro Sebastianelli; Bertrand Le Saux; Massimo Panella (Quantum Mach. Intell., 2024)

MUMUCD: A Multimodal Multiclass Change Detection Dataset. - Federico Serva; Alessandro Sebastianelli; Bertrand Le Saux; Federico Ricciuti (IEEE Geosci. Remote. Sens. Lett., 2025)

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 Trans. Geosci. Remote. Sens., 2025)

Scaling-Up the Pretraining of the Earth Observation Foundation Model PhilEO to the MajorTOM Dataset. - Nikolaos Dionelis; Jente Bosmans; Riccardo Musto; Giancarlo Paoletti; Simone Sarti; Giacomo Cascarano; Casper Fibaek; Luke Camilleri; Bertrand Le Saux; Nicolas Longépé (CoRR, 2025)

On hybrid quanvolutional neural networks optimization. - Andrea Ceschini; Andrea Carbone; Alessandro Sebastianelli; Massimo Panella; Bertrand Le Saux (Quantum Mach. Intell., 2025)