SL
Sébastien Lefèvre
cs.CVcs.LGcs.NEeess.IVstat.MLcs.AIAlgorithmsphysics.ao-phphysics.space-ph
On Valency
published · living versionsW_w6h3dnyf·v2 · currentpublished
A Dataset and Model for Imputing Water Surface Elevation on a Large and Extremely Sparse Spatiotemporal Graph
with Ruben Cartuyvels, Karim Douch, Gabriele Bertoli, Mounia El Baz +2
2 versions
W_jdvx73gz·v1published
W_h8j28mz2·v1published
Preprints & journals
53 papers in the corpus · 2009–2026Self-Supervised Representation Learning: From Spectral Foundation Models to Auroral Emission Spectra2609.31206v1 · Matthieu Le Lain, Gael Cessateur, S'ebastien Lefevre2026 · 0 citationsarXiv
A Dataset and Model for Imputing Water Surface Elevation on a Large and Extremely Sparse Spatiotemporal Graph2609.11580v2 · Ruben Cartuyvels, Karim Douch, Gabriele Bertoli et al.2026 · 0 citationsarXivon Valency
A Station-Based Evaluation of Machine Learning-based Weather Forecasting Models in Northern Norway2609.10564v1 · Siyan Chen, Lars Uebbing, Eirik Mikal Samuelsen et al.2026 · 0 citationsarXivon Valency
NOFE - Neural Operator Function Embedding2605.11970v2 · Lars Uebbing, Harald L. Joakimsen, Siyan Chen et al.2026 · 0 citationsarXiv
From Words to Wavelengths: VLMs for Few-Shot Multispectral Object Detection2512.15971v2 · Manuel Nkegoum, Minh-Tan Pham, 'Elisa Fromont et al.2025 · 0 citationsarXiv
EoS-FM: Can an Ensemble of Specialist Models act as a Generalist Feature Extractor?2511.21523v3 · Pierre Adorni, Minh-Tan Pham, St'ephane May et al.2025 · 0 citationsarXiv
FSMODNet: A Closer Look at Few-Shot Detection in Multispectral Data2509.20905v1 · Manuel Nkegoum, Minh-Tan Pham, 'Elisa Fromont et al.2025 · 3 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
On the use of Graphs for Satellite Image Time Series2505.16685v2 · Corentin Dufourg, Charlotte Pelletier, St'ephane May et al.2025 · 0 citationsIEEE Geoscience and Remote Sensing Magazine (Volume: 14, Issue: 1, Pages: 205-244, February 2026)
Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach2505.03299v1 · Pierre Adorni, Minh-Tan Pham, St'ephane May et al.2025 · 3 citationsarXiv
Plant detection from ultra high resolution remote sensing images: A Semantic Segmentation approach based on fuzzy loss2409.00513v1 · Shivam Pande, Baki Uzun, Florent Guiotte et al.2024 · 1 citationarXiv
Mapping earth mounds from space2409.00518v1 · Baki Uzun, Shivam Pande, Gwendal Cachin-Bernard et al.2024 · 0 citationsarXiv
3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar data2401.09481v1 · Mathilde Letard (GR), Dimitri Lague (GR), Arthur Le Guennec (GR) et al.2024 · 29 citationsISPRS Journal of Photogrammetry and Remote Sensing, 2024, 207, pp.175-197
Weakly supervised marine animal detection from remote sensing images using vector-quantized variational autoencoder2307.06720v1 · Minh-Tan Pham, Hugo Gangloff, S'ebastien Lefevre2023 · 5 citationsarXiv
Multimodal Object Detection in Remote Sensing2307.06724v1 · Abdelbadie Belmouhcine, Jean-Christophe Burnel, Luc Courtrai et al.2023 · 6 citationsarXiv
A Deep Active Contour Model for Delineating Glacier Calving Fronts2307.03461v1 · Konrad Heidler, Lichao Mou, Erik Loebel et al.2023 · 14 citationsarXiv
DC3DCD: unsupervised learning for multiclass 3D point cloud change detection2305.05421v2 · Iris de G'elis (1, S'ebastien Lefevre, Thomas Corpetti2023 · 14 citationsISPRS Journal of Photogrammetry and Remote Sensing Volume 206, December 2023, Pages 168-183
Deep Unsupervised Learning for 3D ALS Point Cloud Change Detection2305.03529v2 · Iris de G'elis, Sudipan Saha, Muhammad Shahzad et al.2023 · 19 citationsISPRS Open Journal of Photogrammetry and Remote Sensing Volume 9, August 2023, 100044
Change detection needs change information: improving deep 3D point cloud change detection2304.12639v2 · Iris de G'elis (1, Thomas Corpetti, S'ebastien Lefevre2023 · 26 citationsarXiv
Learning Digital Terrain Models from Point Clouds: ALS2DTM Dataset and Rasterization-based GAN2206.03778v1 · Hoang-An Le, Florent Guiotte, Minh-Tan Pham et al.2022 · 14 citationsarXiv
CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data2204.07052v1 · Wei-Hsin Tseng, Hoang-An Le, Alexandre Boulch et al.2022 · 6 citationsarXiv
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery2204.07096v1 · Anne Achieng Osio, Hoang-An Le, Samson Ayugi et al.2022 · 4 citationsarXiv
TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation2111.02682v3 · Joachim Nyborg, Charlotte Pelletier, S'ebastien Lefevre et al.2021 · 65 citationsISPRS Journal of Photogrammetry and Remote Sensing, Volume 188, June 2022, Pages 301-313
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
Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection2009.14085v1 · Heng Zhang, Elisa Fromont, S'ebastien Lefevre et al.2020 · 22 citationsarXiv
Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks2009.12664v1 · Heng Zhang, Elisa Fromont, S'ebastien Lefevre et al.2020 · 325 citationsarXiv
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end2003.10151v2 · Ahmed Samy Nassar, Stefano D'Aronco, S'ebastien Lefevre et al.2020 · 1 citationarXiv
Very high resolution Airborne PolSAR Image Classification using Convolutional Neural Networks1910.14578v2 · Minh-Tan Pham, S'ebastien Lefevre2019 · 1 citationarXiv
Vehicle detection and counting from VHR satellite images: efforts and open issues1910.10017v2 · Alice Froidevaux, Andr'ea Julier, Agustin Lifschitz et al.2019 · 17 citationsarXiv
Distance transform regression for spatially-aware deep semantic segmentation1909.01671v1 · Nicolas Audebert (OBELIX), Alexandre Boulch, Bertrand Le Saux et al.2019 · 48 citationsarXiv
Early Classification for Agricultural Monitoring from Satellite Time Series1908.10283v1 · Marc Ru\sswurm, Romain Tavenard, S'ebastien Lefevre et al.2019 · 16 citationsarXiv
Simultaneous multi-view instance detection with learned geometric soft-constraints1907.10892v1 · Ahmed Samy Nassar, Sebastien Lefevre, Jan D. Wegner2019 · 30 citationsarXiv
BreizhCrops: A Time Series Dataset for Crop Type Mapping1905.11893v2 · Marc Ru\sswurm, Charlotte Pelletier, Maximilian Zollner et al.2019 · 92 citationsarXiv
Deep Learning for Classification of Hyperspectral Data: A Comparative Review1904.10674v1 · Nicolas Audebert (OBELIX), Bertrand Saux, S'ebastien Lefevre (OBELIX)2019 · 696 citationsarXiv
End-to-End Learned Early Classification of Time Series for In-Season Crop Type Mapping1901.10681v2 · Marc Ru\sswurm, Nicolas Courty, R'emi Emonet et al.2019 · 126 citationsarXiv
Classification of remote sensing images using attribute profiles and feature profiles from different trees: a comparative study1806.06985v1 · Minh-Tan Pham, Erchan Aptoula, S'ebastien Lefevre2018 · 9 citationsarXiv
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples1806.02583v1 · Nicolas Audebert, Bertrand Le Saux, S'ebastien Lefevre (OBELIX)2018 · 61 citationsInternational Geoscience and Remote Sensing Symposium (IGARSS 2018), Jul 2018, Valencia, Spain
Recent Developments from Attribute Profiles for Remote Sensing Image Classification1803.10036v1 · Minh-Tan Pham, S'ebastien Lefevre, Erchan Aptoula et al.2018 · 15 citationsarXiv
Buried object detection from B-scan ground penetrating radar data using Faster-RCNN1803.08414v1 · Minh-Tan Pham, S'ebastien Lefevre2018 · 175 citationsarXiv
Deep learning for semantic segmentation of remote sensing images with rich spectral content1712.01600v1 · A Hamida, A. Benoit (IPNL), P. Lambert (LISTIC) et al.2017 · 24 citationsarXiv
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks1711.08681v1 · Nicolas Audebert (OBELIX, Palaiseau), Bertrand Le Saux (Palaiseau) et al.2017 · 674 citationsarXiv
Towards seamless multi-view scene analysis from satellite to street-level1705.08101v1 · S'ebastien Lefevre, Devis Tuia, Jan Dirk Wegner et al.2017 · 72 citationsProceedings of the IEEE, 105, pp. 1884-1899, 2017
Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps1705.06057v1 · Nicolas Audebert (Palaiseau, OBELIX), Bertrand Le Saux (Palaiseau) et al.2017 · 122 citationsEARTHVISION 2017 IEEE/ISPRS CVPR Workshop. Large Scale Computer Vision for Remote Sensing Imagery, Jul 2017, Honolulu, United States. 2017
Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper)1701.05818v1 · Nicolas Audebert (Palaiseau, OBELIX), Bertrand Le Saux (Palaiseau) et al.2017 · 0 citationsarXiv
On the usability of deep networks for object-based image analysis1609.06845v1 · Nicolas Audebert (OBELIX, Palaiseau), Bertrand Le Saux (Palaiseau) et al.2016 · 6 citationsarXiv
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks1609.06846v1 · Nicolas Audebert (OBELIX, Palaiseau), Bertrand Le Saux (Palaiseau) et al.2016 · 384 citationsarXivon Valency
How Useful is Region-based Classification of Remote Sensing Images in a Deep Learning Framework?1609.06861v1 · Nicolas Audebert (OBELIX, Palaiseau), Bertrand Le Saux (Palaiseau) et al.2016 · 37 citationsarXiv
Combining multiple resolutions into hierarchical representations for kernel-based image classification1607.02654v2 · Yanwei Cui, S'ebastien Lefevre, Laetitia Chapel et al.2016 · 3 citationsarXiv
Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach1606.04985v1 · Yanwei Cui, Laetitia Chapel, S'ebastien Lefevre2016 · 3 citationsarXiv
A Subpath Kernel for Learning Hierarchical Image Representations1604.01787v1 · Yanwei Cui, Laetitia Chapel, S'ebastien Lefevre2016 · 4 citationsarXiv
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