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ORCIDQuentin Febvre
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2020 – today
- 2024
[j3]Quentin Febvre
, Clément Ubelmann, Julien Le Sommer, Ronan Fablet:
Scale-Aware Neural Calibration for Wide Swath Altimetry Observations. IEEE Trans. Geosci. Remote. Sens. 62: 1-8 (2024)- 2023
- [b1]Quentin Febvre:
Deep learning for ocean satellite altimetry : specificities and practical implications. (Apprentissage profond pour l'altimétrie satellitaire océanique : spécificités et implications pratiques). IMT Atlantique Bretagne Pays de la Loire, Brest, France, 2023 - [j2]Tristan Hascoet, Quentin Febvre, Weihao Zhuang, Yasuo Ariki, Tetsuya Takiguchi:
Reversible designs for extreme memory cost reduction of CNN training. EURASIP J. Image Video Process. 2023(1): 1 (2023) - [j1]Ronan Fablet, Quentin Febvre, Bertrand Chapron:
Multimodal 4DVarNets for the Reconstruction of Sea Surface Dynamics From SST-SSH Synergies. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [c6]Maxime Beauchamp, Quentin Febvre, Joseph Thompson, Hugo Georgenthum, Ronan Fablet:
Learning Neural Optimal Interpolation Models and Solvers. ICCS (4) 2023: 367-381 - [c5]Clément Dorffer, Frédéric Jourdin, David Mouillot, Rodolphe Devillers, Ronan Fablet, Quentin Febvre:
Data-Driven Reconstruction of Sea Surface Turbidity Dynamics with 4dVarNet Neural Scheme Applied To Gappy Satellite Images. IGARSS 2023: 4025-4027 - [c4]J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet:
OceanBench: The Sea Surface Height Edition. NeurIPS 2023 - [i5]Quentin Febvre, Clément Ubelmann, Julien Le Sommer, Ronan Fablet:
Scale-aware neural calibration for wide swath altimetry observations. CoRR abs/2302.04497 (2023) - [i4]Quentin Febvre, Julien Le Sommer, Clément Ubelmann, Ronan Fablet:
Training neural mapping schemes for satellite altimetry with simulation data. CoRR abs/2309.14350 (2023) - [i3]J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet:
OceanBench: The Sea Surface Height Edition. CoRR abs/2309.15599 (2023) - 2022
- [c3]Quentin Febvre, Ronan Fablet, Julien Le Sommer, Clément Ubelmann:
Joint Calibration and Mapping of Satellite Altimetry Data Using Trainable Variational Models. ICASSP 2022: 1536-1540 - 2021
- [c2]Maxime Beauchamp, Mohamed Mahmoud Amar, Quentin Febvre, Ronan Fablet:
End-to-End Learning of Variational Interpolation Schemes for Satellite-Derived SSH Data. IGARSS 2021: 7418-7421 - [i2]Quentin Febvre, Ronan Fablet, Julien Le Sommer, Clément Ubelmann:
Joint calibration and mapping of satellite altimetry data using trainable variational models. CoRR abs/2110.03405 (2021)
2010 – 2019
- 2019
- [c1]Tristan Hascoet, Quentin Febvre, Weihao Zhuang, Yasuo Ariki, Tetsuya Takiguchi:
Layer-Wise Invertibility for Extreme Memory Cost Reduction of CNN Training. ICCV Workshops 2019: 2049-2052 - [i1]Tristan Hascoet, Quentin Febvre, Yasuo Ariki, Tetsuya Takiguchi:
Reversible designs for extreme memory cost reduction of CNN training. CoRR abs/1910.11127 (2019)
Coauthor Index
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