Quentin Febvre

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Top Venues

IEEE Trans. Geosci. Remote. Sens.

EURASIP J. Image Video Process.

Publications

Quentin Febvre, Clément Ubelmann, Julien Le Sommer, Ronan Fablet
Scale-Aware Neural Calibration for Wide Swath Altimetry Observations. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
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)
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) (2023)
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 (2023)
Maxime Beauchamp, Quentin Febvre, Joseph Thompson, Hugo Georgenthum, Ronan Fablet
Learning Neural Optimal Interpolation Models and Solvers. ICCS (4) (2023)
Quentin Febvre, Clément Ubelmann, Julien Le Sommer, Ronan Fablet
Scale-aware neural calibration for wide swath altimetry observations. CoRR (2023)
Quentin Febvre, Julien Le Sommer, Clément Ubelmann, Ronan Fablet
Training neural mapping schemes for satellite altimetry with simulation data. CoRR (2023)
J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet
OceanBench: The Sea Surface Height Edition. NeurIPS (2023)
J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet
OceanBench: The Sea Surface Height Edition. CoRR (2023)
Quentin Febvre, Ronan Fablet, Julien Le Sommer, Clément Ubelmann
Joint Calibration and Mapping of Satellite Altimetry Data Using Trainable Variational Models. ICASSP (2022)
Quentin Febvre, Ronan Fablet, Julien Le Sommer, Clément Ubelmann
Joint calibration and mapping of satellite altimetry data using trainable variational models. CoRR (2021)
Maxime Beauchamp, Mohamed Mahmoud Amar, Quentin Febvre, Ronan Fablet
End-to-End Learning of Variational Interpolation Schemes for Satellite-Derived SSH Data. IGARSS (2021)
Tristan Hascoet, Quentin Febvre, Yasuo Ariki, Tetsuya Takiguchi
Reversible designs for extreme memory cost reduction of CNN training. CoRR (2019)
Tristan Hascoet, Quentin Febvre, Weihao Zhuang, Yasuo Ariki, Tetsuya Takiguchi
Layer-Wise Invertibility for Extreme Memory Cost Reduction of CNN Training. ICCV Workshops (2019)