BS
Bertrand Le Saux
cs.CVcs.LGquant-pheess.IVcs.NEcs.AIcs.ETphysics.ao-phstat.APcs.HC
On Valency
published · living versionsW_jdvx73gz·v1 · currentpublished
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
with Nicolas Audebert, Sébastien Lefèvre
1 version
Preprints & journals
62 papers in the corpus · 2009–2026Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning2602.00048v1 · Fan Fan, Yilei Shi, Mihai Datcu et al.2026 · 0 citationsarXiv
Scaling Laws for Geospatial Foundation Models: A case study on PhilEO Bench2506.14765v5 · Nikolaos Dionelis, Riccardo Musto, Jente Bosmans et al.2025 · 0 citationsarXiv
Quantum Latent Diffusion Models2501.11174v1 · Francesca De Falco, Andrea Ceschini, Alessandro Sebastianelli et al.2025 · 17 citationsQuantum Machine Intelligence, Vol. 6, No. 2, Article No. 85, pp. 1-20, ISSN: 2524-4906, Springer Nature, Switzerland, December 2024
IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI2410.04135v1 · Kai Jeggle, Mikolaj Czerkawski, Federico Serva et al.2024 · 2 citationsarXiv
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks2408.06524v1 · Andrea Ceschini, Francesco Mauro, Francesca De Falco et al.2024 · 0 citationsarXiv
Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks2407.17108v1 · Alessandro Sebastianelli, Francesco Mauro, Giulia Ciabatti et al.2024 · 19 citationsarXiv
In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods2407.15776v1 · Artur Miroszewski, Marco Fellous Asiani, Jakub Mielczarek et al.2024 · 1 citationarXiv
Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI2406.18295v1 · Nikolaos Dionelis, Casper Fibaek, Luke Camilleri et al.2024 · 0 citationsarXiv
Latent Style-based Quantum GAN for high-quality Image Generation2406.02668v1 · Su Yeon Chang, Supanut Thanasilp, Bertrand Le Saux et al.2024 · 7 citationsarXiv
Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images2404.11299v1 · Nikolaos Dionelis, Francesco Pro, Luca Maiano et al.2024 · 3 citationsarXiv
A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching2404.11302v2 · Francesco Pro, Nikolaos Dionelis, Luca Maiano et al.2024 · 11 citationsarXiv
Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation2403.15356v3 · Zhitong Xiong, Yi Wang, Fahong Zhang et al.2024 · 26 citationsarXiv
Towards Efficient Quantum Hybrid Diffusion Models2402.16147v1 · Francesca De Falco, Andrea Ceschini, Alessandro Sebastianelli et al.2024 · 16 citationsKI - K\"unstliche Intelligenz, Vol. 38, No. 4, pp. 311-326, 2024
A Hybrid MLP-Quantum approach in Graph Convolutional Neural Networks for Oceanic Nino Index (ONI) prediction2401.16049v1 · Francesco Mauro, Alessandro Sebastianelli, Bertrand Le Saux et al.2024 · 4 citationsarXiv
PhilEO Bench: Evaluating Geo-Spatial Foundation Models2401.04464v2 · Casper Fibaek, Luke Camilleri, Andreas Luyts et al.2024 · 19 citationsarXiv
The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation2311.16782v1 · Christel Chappuis, Eliot Walt, Vincent Mendez et al.2023 · 2 citationsarXiv
Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for Czechia2311.07537v2 · Daniel Paluba, Bertrand Le Saux, Premysl Stych2023 · 12 citationsarXiv
Deep-Learning-based Change Detection with Spaceborne Hyperspectral PRISMA data2310.13627v1 · J.F. Amieva, A. Austoni, M.A. Brovelli et al.2023 · 5 citationsProceedings of the 2023 conference on Big Data from Space
IceCloudNet: Cirrus and mixed-phase cloud prediction from SEVIRI input learned from sparse supervision2310.03499v1 · Kai Jeggle, Mikolaj Czerkawski, Federico Serva et al.2023 · 1 citationNeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning
Approximately Equivariant Quantum Neural Network for Group Symmetries in Images2310.02323v1 · Su Yeon Chang, Michele Grossi, Bertrand Le Saux et al.2023 · 16 citationsarXiv
Cloud Detection in Multispectral Satellite Images Using Support Vector Machines With Quantum Kernels2307.07281v1 · Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek et al.2023 · 9 citationsarXiv
Optimizing Kernel-Target Alignment for cloud detection in multispectral satellite images2306.14515v1 · Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek et al.2023 · 3 citationsarXiv
Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection2306.09886v1 · Bartosz Grabowski, Maciej Ziaja, Michal Kawulok et al.2023 · 3 citationsarXiv
Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward2305.08413v2 · Devis Tuia, Konrad Schindler, Begum Demir et al.2023 · 117 citationsIEEE Geoscience and Remote Sensing Magazine, 2024
A Single-Step Multiclass SVM based on Quantum Annealing for Remote Sensing Data Classification2303.11705v1 · Amer Delilbasic, Bertrand Le Saux, Morris Riedel et al.2023 · 44 citationsarXiv
Analysis of COVID-19 first wave in the US based on demographic, mobility, and environmental variables2302.14649v1 · Dario Spiller, Gabriele Santin, Alessandro Sebastianelli et al.2023 · 0 citationsarXiv
Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines2302.08270v1 · Artur Miroszewski, Jakub Mielczarek, Grzegorz Czelusta et al.2023 · 50 citationsarXiv
Self-Configuring nnU-Nets Detect Clouds in Satellite Images2210.13659v1 · Bartosz Grabowski, Maciej Ziaja, Michal Kawulok et al.2022 · 5 citationsarXiv
Learning local depth regression from defocus blur by soft-assignment encoding.36256020 · Leroy, Rémy, Trouvé-Peloux, Pauline, Le Saux, Bertrand et al.2022 · 4 citationsApplied optics. 2022;61(29):8843-8849
Graph Neural Networks Extract High-Resolution Cultivated Land Maps from Sentinel-2 Image Series2208.02349v1 · Lukasz Tulczyjew, Michal Kawulok, Nicolas Long'ep'e et al.2022 · 13 citationsIEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 5513105
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing2208.02361v1 · Lukasz Tulczyjew, Michal Kawulok, Nicolas Long'ep'e et al.2022 · 20 citationsIEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 6011105
Rapid training of quantum recurrent neural networks2207.00378v2 · MichałSiemaszko, Adam Buraczewski, Bertrand Le Saux et al.2022 · 21 citationsQuantum Mach. Intell. 5, 31 (2023)
Self-supervised learning -- A way to minimize time and effort for precision agriculture?2204.02100v1 · Michael L. Marszalek, Bertrand Le Saux, Pierre-Philippe Mathieu et al.2022 · 13 citationsarXiv
Beyond Ansätze: Learning Quantum Circuits as Unitary Operators2203.00601v2 · B'alint M'at'e, Bertrand Le Saux, Maxwell Henderson2022 · 0 citationsarXiv
Weakly-supervised continual learning for class-incremental segmentation2201.01029v2 · Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari et al.2022 · 4 citationsarXiv
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing2201.01047v1 · Gaston Lenczner, Adrien Chan-Hon-Tong, Bertrand Le Saux et al.2022 · 59 citationsarXiv
Weakly Supervised Change Detection Using Guided Anisotropic Difusion2112.15367v1 · Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch et al.2021 · 20 citationsarXiv
How to find a good image-text embedding for remote sensing visual question answering?2109.11848v1 · Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger et al.2021 · 17 citationsarXiv
On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification2109.09484v2 · Alessandro Sebastianelli, Daniela A. Zaidenberg, Dario Spiller et al.2021 · 162 citationsarXiv
Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport2107.14498v1 · R'emy Leroy, Pauline Trouv'e-Peloux, Fr'ed'eric Champagnat et al.2021 · 4 citationsarXiv
Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing2101.10657v3 · Daniela A. Zaidenberg, Alessandro Sebastianelli, Dario Spiller et al.2021 · 52 citationsarXiv
Street to Cloud: Improving Flood Maps With Crowdsourcing and Semantic Segmentation2011.08010v1 · Veda Sunkara, Matthew Purri, Bertrand Le Saux et al.2020 · 3 citationsarXiv
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study2010.07830v1 · Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch et al.2020 · 76 citationsarXiv
Interactive Learning for Semantic Segmentation in Earth Observation2009.11250v1 · Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari et al.2020 · 11 citationsarXiv
DISIR: Deep Image Segmentation with Interactive Refinement2003.14200v2 · Gaston Lenczner, Bertrand Le Saux, Nicola Luminari et al.2020 · 5 citationsXXIV ISPRS Congress, Commission II (Volume V-2-2020)
Multi-Task Learning of Height and Semantics from Aerial Images1911.07543v1 · Marcela Carvalho, Bertrand Le Saux, Pauline Trouv'e-Peloux et al.2019 · 69 citationsarXiv
Technical Report: Co-learning of geometry and semantics for online 3D mapping1911.01082v1 · Marcela Carvalho, Maxime Ferrera, Alexandre Boulch et al.2019 · 1 citationarXiv
Distance transform regression for spatially-aware deep semantic segmentation1909.01671v1 · Nicolas Audebert (OBELIX), Alexandre Boulch, Bertrand Le Saux et al.2019 · 48 citationsarXiv
Deep Learning for Classification of Hyperspectral Data: A Comparative Review1904.10674v1 · Nicolas Audebert (OBELIX), Bertrand Saux, S'ebastien Lefevre (OBELIX)2019 · 696 citationsarXiv
Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection1904.08208v1 · Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch et al.2019 · 39 citationsarXiv
Career total: 294 works. 62 are in this corpus.Showing the 50 most recent.
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