Quentin Febvre

18 papers A* 1C 2Misc 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
OceanSAR-2: A Universal Feature Extractor for SAR Ocean Observation.
CoRR
Alexandre Tuel, Thomas Kerdreux, Quentin Febvre, Alexis Mouche, Antoine Grouazel, Jean-Renaud Miadana, Antoine Audras, Chen Wang, Bertrand Chapron
2025 — conf
Efficient Self-Supervised Learning for Earth Observation via Dynamic Dataset Curation.
CVPR Workshops
Thomas Kerdreux, Alexandre Tuel, Quentin Febvre, Alexis Mouche, Bertrand Chapron
2025 J jnl
Efficient Self-Supervised Learning for Earth Observation via Dynamic Dataset Curation.
CoRR
Thomas Kerdreux, Alexandre Tuel, Quentin Febvre, Alexis Mouche, Bertrand Chapron
2024 J jnl
Scale-Aware Neural Calibration for Wide Swath Altimetry Observations.
IEEE Trans. Geosci. Remote. Sens.
Quentin Febvre, Clément Ubelmann, Julien Le Sommer, Ronan Fablet
2023 C conf
Data-Driven Reconstruction of Sea Surface Turbidity Dynamics with 4dVarNet Neural Scheme Applied To Gappy Satellite Images.
IGARSS
Clément Dorffer, Frédéric Jourdin, David Mouillot, Rodolphe Devillers, Ronan Fablet, Quentin Febvre
2023 — —
Deep learning for ocean satellite altimetry : specificities and practical implications. (Apprentissage profond pour l'altimétrie satellitaire océanique : spécificités et implications pratiques).
Quentin Febvre
2023 — conf
Learning Neural Optimal Interpolation Models and Solvers.
ICCS (4)
Maxime Beauchamp, Quentin Febvre, Joseph Thompson, Hugo Georgenthum, Ronan Fablet
2023 J jnl
Multimodal 4DVarNets for the Reconstruction of Sea Surface Dynamics From SST-SSH Synergies.
IEEE Trans. Geosci. Remote. Sens.
Ronan Fablet, Quentin Febvre, Bertrand Chapron
2023 A* conf
OceanBench: The Sea Surface Height Edition.
NeurIPS
J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet
2023 J jnl
OceanBench: The Sea Surface Height Edition.
CoRR
J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet
2023 J jnl
Reversible designs for extreme memory cost reduction of CNN training.
EURASIP J. Image Video Process.
Tristan Hascoet, Quentin Febvre, Weihao Zhuang, Yasuo Ariki, Tetsuya Takiguchi
2023 J jnl
Scale-aware neural calibration for wide swath altimetry observations.
CoRR
Quentin Febvre, Clément Ubelmann, Julien Le Sommer, Ronan Fablet
2023 J jnl
Training neural mapping schemes for satellite altimetry with simulation data.
CoRR
Quentin Febvre, Julien Le Sommer, Clément Ubelmann, Ronan Fablet
2022 Misc conf
Joint Calibration and Mapping of Satellite Altimetry Data Using Trainable Variational Models.
ICASSP
Quentin Febvre, Ronan Fablet, Julien Le Sommer, Clément Ubelmann
2021 C conf
End-to-End Learning of Variational Interpolation Schemes for Satellite-Derived SSH Data.
IGARSS
Maxime Beauchamp, Mohamed Mahmoud Amar, Quentin Febvre, Ronan Fablet
2021 J jnl
Joint calibration and mapping of satellite altimetry data using trainable variational models.
CoRR
Quentin Febvre, Ronan Fablet, Julien Le Sommer, Clément Ubelmann
2019 — conf
Layer-Wise Invertibility for Extreme Memory Cost Reduction of CNN Training.
ICCV Workshops
Tristan Hascoet, Quentin Febvre, Weihao Zhuang, Yasuo Ariki, Tetsuya Takiguchi
2019 J jnl
Reversible designs for extreme memory cost reduction of CNN training.
CoRR
Tristan Hascoet, Quentin Febvre, Yasuo Ariki, Tetsuya Takiguchi