| 2024 | IGARSS | A Hybrid MLP-Quantum Approach in Graph Convolutional Neural Networks for Oceanic Nio Index (ONI) Prediction. | Francesco Mauro, Alessandro Sebastianelli, Bertrand Le Saux, Paolo Gamba, Silvia Liberata Ullo |
| 2024 | IGARSS | Utility of Quantum Kernel Machines in Remote Sensing Applications. | Artur Miroszewski, Bertrand Le Saux, Nicolas Longp, Jakub Nalepa |
| 2024 | IGARSS | A Semantic Segmentation-Guided Approach for Ground-to-Aerial Image Matching. | Francesco Pro, Nikolaos Dionelis, Luca Maiano, Bertrand Le Saux, Irene Amerini |
| 2024 | IGARSS | Detection of Bare Soil in Hyperspectral Images Using Quantum-Kernel Support Vector Machines. | Agata M. Wijata, Artur Miroszewski, Bertrand Le Saux, Nicolas Longp, Bogdan Ruszczak, Jakub Nalepa |
| 2024 | IGARSS | Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning. | Amer Delilbasic, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro |
| 2024 | IGARSS | 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 |
| 2024 | IGARSS | PhilEO Bench: Evaluating Geo-Spatial Foundation Models. | Casper Fibaek, Luke Camilleri, Andreas Luyts, Nikolaos Dionelis, Bertrand Le Saux |
| 2024 | IGARSS | Estimating Soil Parameters from Hyperspectral Imagesusing Ensembles of Classic and Deep Machine Learning Models. | Wiktor Gacek, Lukasz Tulczyjew, Agata M. Wijata, Nicolas Longp, Bertrand Le Saux, Jakub Nalepa |
| 2024 | IGARSS | Soil Analysis with Very Few Labels Using Semi-Supervised Hyperspectral Image Classification. | Bartosz Grabowski, Agata M. Wijata, Lukasz Tulczyjew, Bertrand Le Saux, Jakub Nalepa |
| 2023 | BMVC | 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 |
| 2023 | IGARSS | 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 |
| 2023 | IGARSS | 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 |
| 2023 | IGARSS | Unbiased Validation of Hyperspectral Unmixing Algorithms. | Lukasz Tulczyjew, Michal Kawulok, Nicolas Longp, Bertrand Le Saux, Jakub Nalepa |
| 2023 | IGARSS | Knowledge Distillation for Memory-Efficient On-Board Image Classification of Mars Imagery. | Piotr Bosowski, Nicolas Longp, Bertrand Le Saux, Jakub Nalepa |
| 2023 | QCE | Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images. | Su Yeon Chang, Michele Grossi, Bertrand Le Saux, Sofia Vallecorsa |
| 2022 | CVPR | Prompt-RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering. | Christel Chappuis, Valrie Zermatten, Sylvain Lobry, Bertrand Le Saux, Devis Tuia |
| 2022 | ICIP | The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images. | Jakub Nalepa, Bertrand Le Saux, Nicolas Longp, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Krzysztof Smykala, Michal Gumiela |
| 2022 | IGARSS | Quantum Convolutional Circuits for Earth Observation Image Classification. | Su Yeon Chang, Bertrand Le Saux, Sofia Vallecorsa, Michele Grossi |
| 2022 | IGARSS | Language Transformers for Remote Sensing Visual Question Answering. | Christel Chappuis, Vincent Mendez, Eliot Walt, Sylvain Lobry, Bertrand Le Saux, Devis Tuia |
| 2022 | IGARSS | Weakly-Supervised Continual Learning for Class-Incremental Segmentation. | Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux |
| 2021 | IGARSS | Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing. | Daniela Alessandra Zaidenberg, Alessandro Sebastianelli, Dario Spiller, Bertrand Le Saux, Silvia Liberata Ullo |
| 2021 | IGARSS | Classification and Generation of Earth Observation Images Using a Joint Energy-Based Model. | Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Sbastien Lefvre |
| 2021 | MVA | Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport. | Rmy Leroy, Pauline Trouv-Peloux, Frdric Champagnat, Bertrand Le Saux, Marcela Carvalho |
| 2019 | CVPR | Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection. | Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau |
| 2019 | IGARSS | Learning to Understand Earth Observation Images with Weak and Unreliable Ground Truth. | Rodrigo Caye Daudt, Adrien Chan-Hon-Tong, Bertrand Le Saux, Alexandre Boulch |
| 2018 | ECCV | Deep Depth from Defocus: How Can Defocus Blur Improve 3D Estimation Using Dense Neural Networks? | Marcela Carvalho, Bertrand Le Saux, Pauline Trouv-Peloux, Andrs Almansa, Frdric Champagnat |
| 2018 | ICIP | On Regression Losses for Deep Depth Estimation. | Marcela Carvalho, Bertrand Le Saux, Pauline Trouv-Peloux, Andrs Almansa, Frdric Champagnat |
| 2018 | ICIP | Fully Convolutional Siamese Networks for Change Detection. | Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch |
| 2018 | IGARSS | Railway Detection: From Filtering to Segmentation Networks. | Bertrand Le Saux, Anne Beaupre, Alexandre Boulch, Jrmie Brossard, Antoine Manier, Guilhem Villemin |
| 2018 | IGARSS | Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. | Nicolas Audebert, Bertrand Le Saux, Sbastien Lefvre |
| 2018 | IGARSS | Learning Speckle Suppression in Sar Images Without Ground Truth: Application to Sentinel-1 Time-Series. | Alexandre Boulch, Pauline Trouv, Elise Colin Koeniguer, Fabrice Janez, Bertrand Le Saux |
| 2018 | IGARSS | Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks. | Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau |
| 2018 | IGARSS | Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. | Bohao Huang, Kangkang Lu, Nicolas Audebert, Andrew Khalel, Yuliya Tarabalka, Jordan M. Malof, Alexandre Boulch, Bertrand Le Saux, Leslie M. Collins, Kyle Bradbury, Sbastien Lefvre, Motaz El-Saban |
| 2017 | CVPR | Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps. | Nicolas Audebert, Bertrand Le Saux, Sbastien Lefvre |
| 2017 | IGARSS | Placeholder: Not to be reviewed (Data fusion contest 2017). | Bertrand Le Saux |
| 2016 | ACCV | Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks. | Nicolas Audebert, Bertrand Le Saux, Sbastien Lefvre |
| 2016 | IGARSS | How useful is region-based classification of remote sensing images in a deep learning framework? | Nicolas Audebert, Bertrand Le Saux, Sbastien Lefvre |
| 2015 | IGARSS | Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks. | Adrien Lagrange, Bertrand Le Saux, Anne Beaupre, Alexandre Boulch, Adrien Chan-Hon-Tong, Stphane Herbin, Hicham Randrianarivo, Marin Ferecatu |
| 2014 | IGARSS | Multimodal classification with deformable part-based models for urban cartography. | Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu |
| 2014 | ICPR | Interactive Design of Object Classifiers in Remote Sensing. | Bertrand Le Saux |
| 2013 | IGARSS | Urban structure detection with deformable part-based models. | Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu |
| 2013 | IGARSS | Urban change detection in SAR images by interactive learning. | Bertrand Le Saux, Hicham Randrianarivo |
| 2013 | IROS | Rapid semantic mapping: Learn environment classifiers on the fly. | Bertrand Le Saux, Martial Sanfourche |
| 2012 | IGARSS | Boosting for interactive man-made structure classification. | Nicolas Chauffert, Jonathan Israel, Bertrand Le Saux |
| 2012 | IGARSS | GPU-accelerated one-class SVM for exploration of remote sensing data. | Fabien Giannesini, Bertrand Le Saux |
| 2006 | SSPR | Combining SVM and Graph Matching in a Bayesian Multiple Classifier System for Image Content Recognition. | Bertrand Le Saux, Horst Bunke |
| 2005 | IBPRIA | Feature Selection for Graph-Based Image Classifiers. | Bertrand Le Saux, Horst Bunke |
| 2004 | ICCVG | Image Classifiers for Scene Analysis. | Bertrand Le Saux, Giuseppe Amato |
| 2002 | ICPR | Unsupervised Robust Clustering for Image Database Categorization. | Bertrand Le Saux, Nozha Boujemaa |