Motion characterization from temporal cooccurrences of local motion-based measures for video indexing. - Patrick Bouthemy; Ronan Fablet (ICPR, 1998)

New descriptors for image and video indexing. - Patrick Gros; Ronan Fablet; Patrick Bouthemy (State-of-the-Art in Content-Based Image and Video Retrieval, 1999)

Moving Object Detection in Color Image Sequences Using Region-Level Graph Labeling. - Ronan Fablet; Patrick Bouthemy; Marc Gelgon (ICIP (2), 1999)

Motion-Based Feature Extraction and Ascendant Hierarchical Classification for Video Indexing and Retrieval. - Ronan Fablet; Patrick Bouthemy (VISUAL, 1999)

Statistical Motion-Based Object Indexing Using Optic Flow Field. - Ronan Fablet; Patrick Bouthemy (ICPR, 2000)

Statistical motion-based video indexing and retrieval. - Ronan Fablet; Patrick Bouthemy; Patrick Pérez (RIAO, 2000)

Statistical Motion-Based Retrieval with Partial Query. - Ronan Fablet; Patrick Bouthemy (VISUAL, 2000)

Non parametric motion recognition using temporal multiscale Gibbs models. - Ronan Fablet; Patrick Bouthemy (CVPR (1), 2001)

MRF-based moving object detection from MPEG coded video. - Abdeljabar Benzougar; Patrick Bouthemy; Ronan Fablet (ICIP (3), 2001)

Motion recognition using spatio-temporal random walks in sequence of 2D motion-related measurements. - Ronan Fablet; Patrick Bouthemy (ICIP (3), 2001)

Non-Parametric Motion Activity Analysis for Statistical Retrieval with Partial Query. - Ronan Fablet; Patrick Bouthemy (J. Math. Imaging Vis., 2001)

Automatic Detection and Tracking of Human Motion with a View-Based Representation. - Ronan Fablet; Michael J. Black (ECCV (1), 2002)

Nonparametric motion characterization using causal probabilistic models for video indexing and retrieval. - Ronan Fablet; Patrick Bouthemy; Patrick Pérez (IEEE Trans. Image Process., 2002)

Robust time-frequency model estimation in otolith images for fish age and growth analysis. - Ronan Fablet; Abdessalam Benzinou; Christian Doncarli (ICIP (3), 2003)

Robust statistical registration of 3D ultrasound images using texture information. - François Rousseau 002; Ronan Fablet; Christian Barillot (ICIP (1), 2003)

Motion Recognition Using Nonparametric Image Motion Models Estimated from Temporal and Multiscale Cooccurrence Statistics. - Ronan Fablet; Patrick Bouthemy (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

The Dense Estimation of Motion and Appearance in Layers. - Hulya Yalcin; Michael J. Black; Ronan Fablet (CVPR Workshops, 2004)

Multiscale segmentation of textured sonar images using cooccuplrence statistics. - Imen Karoui; Jean-Marc Boucher; Ronan Fablet; Jean-Marie Augustin (ICIP, 2004)

Automatic Fish Age Estimation from Otolith Images using Statistical Learning. - Ronan Fablet; Nicolas Le Josse; Abdessalam Benzinou (ICPR (4), 2004)

Extraction and interpretation of ring structures in images of biological hard tissues: application to fish age and growth estimation. - Ronan Fablet (ICIP (2), 2005)

Variational multi-wavelet restoration of noisy images. - Ronan Fablet; Jean-Marie Augustin (ICIP (3), 2005)

Interpolating Orientation Fields: An Axiomatic Approach. - Anatole Chessel; Frédéric Cao; Ronan Fablet (ECCV (4), 2006)

Unsupervised Calibrated Sonar Imaging for Seabed Observation Using Hidden Markov Random Fields. - Ronan Fablet; Jean-Marie Augustin (ICASSP (2), 2006)

Region-Based Image Segmentation Using Texture Statistics And Level-Set Methods. - Imen Karoui; Ronan Fablet; Jean-Marc Boucher; Jean-Marie Augustin (ICASSP (2), 2006)

Orientation Interpolation and Applications. - Anatole Chessel; Ronan Fablet; Frédéric Cao; Charles Kervrann (ICIP, 2006)

Variational Level-Set Reconstruction of Accretionary Morphogenesis from Images. - Ronan Fablet; Sylvain Pujolle; Anatole Chessel; Abdessalam Benzinou; Frédéric Cao (ICIP, 2006)

Automatic morphological detection of otolith nucleus. - Frédéric Cao; Ronan Fablet (Pattern Recognit. Lett., 2006)

Otolith Image Analysis by Computer Vision. - Anatole Chessel; Ronan Fablet; Charles Kervrann; Frédéric Cao (BIOSIGNALS (2), 2008)

Weakly supervised learning using proportion-based information: An application to fisheries acoustics. - Ronan Fablet; Riwal Lefort; Carla Scalarin; Jacques Masse; Paul Cauchy; Jean-Marc Boucher (ICPR, 2008)

2D Image-based reconstruction of shape deformation of biological structures using a level-set representation. - Ronan Fablet; Sylvain Pujolle; Anatole Chessel; Abdessalam Benzinou; Frédéric Cao (Comput. Vis. Image Underst., 2008)

Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation. - Imen Karoui; Ronan Fablet; Jean-Marc Boucher; Wojciech Pieczynski; Jean-Marie Augustin (Pattern Anal. Appl., 2008)

Variational 1D signal registration and shape geodesics for shape classification: Application to marine biological archives. - Kamal Nasreddine; Abdesslam Benzinou; Vicenç Parisi Baradad; Ronan Fablet (DPS, 2009)

Combining image-level and object-level inference for weakly supervised object recognition. Application to fisheries acoustics. - Riwal Lefort; Ronan Fablet; Imen Karoui; Jean-Marc Boucher (ICIP, 2009)

Shape geodesics for boundary-based object recognition and retrieval. - Kamal Nasreddine; Abdessalam Benzinou; Ronan Fablet (ICIP, 2009)

Seabed Segmentation Using Optimized Statistics of Sonar Textures. - Imen Karoui; Ronan Fablet; Jean-Marc Boucher; Jean-Marie Augustin (IEEE Trans. Geosci. Remote. Sens., 2009)

Weakly Supervised Classification of Objects in Images Using Soft Random Forests. - Riwal Lefort; Ronan Fablet; Jean-Marc Boucher (ECCV (4), 2010)

Spatial Statistics of Visual Keypoints for Texture Recognition. - Huu-Giao Nguyen; Ronan Fablet; Jean-Marc Boucher (ECCV (4), 2010)

Weakly supervised learning with decision trees applied to fisheries acoustics. - Riwal Lefort; Ronan Fablet; Jean-Marc Boucher (ICASSP, 2010)

Invariant descriptors of sonar textures from spatial statistics of local features. - Huu-Giao Nguyen; Ronan Fablet; Jean-Marc Boucher (ICASSP, 2010)

Variational fronts tracking in sea surface temperature images. - Sileye O. Ba; Ronan Fablet (ICIP, 2010)

Variational data assimilation for missing data interpolation in SST images. - Sileye O. Ba; Thomas Corpetti; Bertrand Chapron; Ronan Fablet (IGARSS, 2010)

Descriptors for sea surface temperature front regularity characterization. - Sileye O. Ba; Ronan Fablet; Dominique Pastor; Bertrand Chapron (IGARSS, 2010)

Variational shape matching for shape classification and retrieval. - Kamal Nasreddine; Abdessalam Benzinou; Ronan Fablet (Pattern Recognit. Lett., 2010)

Variational Region-Based Segmentation Using Multiple Texture Statistics. - Imen Karoui; Ronan Fablet; Jean-Marc Boucher; Jean-Marie Augustin (IEEE Trans. Image Process., 2010)

Visual textures as realizations of multivariate log-Gaussian Cox processes. - Huu-Giao Nguyen; Ronan Fablet; Jean-Marc Boucher (CVPR, 2011)

Prévision de trajectoires de cyclones à l'aide de forêts aléatoires avec arbres de régression. - Sterenn Liberge; Sileye O. Ba; Philippe Lenca; Ronan Fablet (EGC, 2011)

Log-gaussian cox processes of visual keypoints for sonar texture recognition. - Huu-Giao Nguyen; Ronan Fablet; Jean-Marc Boucher (ICASSP, 2011)

Multi-resolution missing data interpolation in SST image series. - Sileye O. Ba; Thomas Corpetti; Ronan Fablet (ICIP, 2011)

Multivariate log-Gaussian Cox models of elementary shapes for recognizing natural scene categories. - Huu-Giao Nguyen; Ronan Fablet; Jean-Marc Boucher (ICIP, 2011)

Object recognition using proportion-based prior information: Application to fisheries acoustics. - Riwal Lefort; Ronan Fablet; Jean-Marc Boucher (Pattern Recognit. Lett., 2011)

Classification faiblement supervisée : arbre de décision probabiliste et apprentissage itératif. - Riwal Lefort; Ronan Fablet; Jean-Marc Boucher (Fouille de données complexes, 2011)

Des otolithes aux satellites : méthodes et applications du traitement du signal et des images pour l'observation de l'océan. - Ronan Fablet (2012)

Multi-resolution data assimilation for missing data interpolation in geophysical sequences. - Sileye O. Ba; Bertrand Chapron; Ronan Fablet (IGARSS, 2012)

Statistical Descriptors of Ocean Regimes From the Geometric Regularity of SST Observations. - Sileye O. Ba; Emmanuelle Autret; Bertrand Chapron; Ronan Fablet (IEEE Geosci. Remote. Sens. Lett., 2012)

Spatial Statistics of Objects in 3-D Sonar Images: Application to Fisheries Acoustics. - Riwal Lefort; Ronan Fablet; Laurent Berger; Jean-Marc Boucher (IEEE Geosci. Remote. Sens. Lett., 2012)

Interpolation par assimilation variationnelle de séquences multimodales d'images satellitaires de l'océan. - Silèye O. Ba; Thomas Corpetti; Bertrand Chapron; Ronan Fablet (Traitement du Signal, 2012)

Keypoint-Based Analysis of Sonar Images: Application to Seabed Recognition. - Huu-Giao Nguyen; Ronan Fablet; Axel Ehrhold; Jean-Marc Boucher (IEEE Trans. Geosci. Remote. Sens., 2012)

Random walk models for geometry-driven image super-resolution. - Ronan Fablet; Brahim Boussidi; Emmanuelle Autret; Bertrand Chapron (ICASSP, 2013)

Spatio-temporal segmentation and estimation of ocean surface currents from satellite sea surface temperature fields. - Pierre Tandeo; Sileye O. Ba; Ronan Fablet; Bertrand Chapron; Emmanuelle Autret (ICIP, 2013)

Protein Interaction Hotspot Identification Using Sequence-Based Frequency-Derived Features. - Quang-Thang Nguyen; Ronan Fablet; Dominique Pastor (IEEE Trans. Biomed. Eng., 2013)

Geodesics-Based Image Registration: Applications To Biological And Medical Images Depicting Concentric Ring Patterns. - Kamal Nasreddine; Abdessalam Benzinou; Ronan Fablet (IEEE Trans. Image Process., 2013)

Ocean surface current retrieval using a non homogeneous Markov-switching multi-regime model. - Pierre Tandeo; Ronan Fablet; Pierre Ailliot (ICIP, 2014)

Stochastic super-resolution of satellite-based Sea Surface Temperature using conditional SPDE models. - Brahim Boussidi; Ronan Fablet; Bertrand Chapron; Emmanuelle Autret (IGARSS, 2014)

Statistical emulation of high-resolution SAR wind fields from low-resolution model predictions. - Liyun He; Bertrand Chapron; Jean Tournadre; Ronan Fablet (IGARSS, 2014)

Hidden surface dynamical modes and SSH retrievals from a joint analysis of altimetry and microwave SST. - Pierre Tandeo; Ronan Fablet; Pierre Ailliot (IGARSS, 2014)

Multiscale Event-Based Mining in Geophysical Time Series: Characterization and Distribution of Significant Time-Scales in the Sea Surface Temperature Anomalies Relatively to ENSO Periods from 1985 to 2009. - Bertrand Saulquin; Ronan Fablet; Grégoire Mercier; Hervé Demarcq; Antoine Mangin; Odile Fanton d'Andon (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Multiscale Analysis of Geometric Planar Deformations: Application to Wild Animal Electronic Tracking and Satellite Ocean Observation Data. - Ronan Fablet; Alexis Chaigneau; Sophie Bertrand (IEEE Trans. Geosci. Remote. Sens., 2014)

Segmentation of Mesoscale Ocean Surface Dynamics Using Satellite SST and SSH Observations. - Pierre Tandeo; Bertrand Chapron; Sileye O. Ba; Emmanuelle Autret; Ronan Fablet (IEEE Trans. Geosci. Remote. Sens., 2014)

Missing data super-resolution using non-local and statistical priors. - Ronan Fablet; François Rousseau 002 (ICIP, 2015)

Non-parametric Ensemble Kalman methods for the inpainting of noisy dynamic textures. - Redouane Lguensat; Pierre Tandeo; Ronan Fablet; Pierre Ailliot (ICIP, 2015)

Non-homogeneous priors in a Bayesian latent class model for ocean color inversion. - Bertrand Saulquin; Ronan Fablet; Ludovic Bourg; Grégoire Mercier; Odile Fanton d'Andon (ICIP, 2015)

Learning-Based Emulation of Sea Surface Wind Fields From Numerical Model Outputs and SAR Data. - Liyun He; Ronan Fablet; Bertrand Chapron; Jean Tournadre (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Characterization of Time-Varying Regimes in Remote Sensing Time Series: Application to the Forecasting of Satellite-Derived Suspended Matter Concentrations. - Bertrand Saulquin; Ronan Fablet; Pierre Ailliot; Grégoire Mercier; David Doxaran; Antoine Mangin; Odile Fanton d'Andon (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

An exemplar-based hidden Markov model framework for nonlinear state-space models. - Redouane Lguensat; Ronan Fablet; Pierre Ailliot; Pierre Tandeo (EUSIPCO, 2016)

Non-negative decomposition of linear relationships: Application to multi-source ocean remote sensing data. - Manuel Lopez-Radcenco; Abdeldjalil Aïssa-El-Bey; Pierre Ailliot; Pierre Tandeo; Ronan Fablet (ICASSP, 2016)

Convolutional Neural Networks for object recognition on mobile devices: A case study. - Luis Tobias; Aurélien Ducournau; François Rousseau 002; Grégoire Mercier; Ronan Fablet (ICPR, 2016)

Texture synthesis guided by a low-resolution image. - Mireille El Gheche; Jean-François Aujol; Yannick Berthoumieu; Charles-Alban Deledalle; Ronan Fablet (IVMSP, 2016)

Validation and Parameter Sensitivity Tests for Reconstructing Swell Field Based on an Ensemble Kalman Filter. - Xuan Wang 004; Pierre Tandeo; Ronan Fablet; Romain Husson; Lei Guan; Ge Chen 002 (Sensors, 2016)

Joint Interpolation of Multisensor Sea Surface Temperature Fields Using Nonlocal and Statistical Priors. - Ronan Fablet; François Rousseau 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Assimilative 2-D Lagrangian Transport Model for the Estimation of Oil Leakage Parameters From SAR Images: Application to the Montara Oil Spill. - Budhi Gunadharma Gautama; Nicolas Longépé; Ronan Fablet; Grégoire Mercier (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Spatio-Temporal Decomposition of Satellite-Derived SST-SSH Fields: Links Between Surface Data and Ocean Interior Dynamics in the Agulhas Region. - Clément Le Goff; Ronan Fablet; Pierre Tandeo; Emmanuelle Autret; Bertrand Chapron (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Foreword to the Special Issue on the Remote Sensing of the World Oceans. - Xiaofeng Li 001; Ronan Fablet (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Non-negative decomposition of geophysical dynamics. - Manuel Lopez-Radcenco; Abdeldjalil Aïssa-El-Bey; Pierre Ailliot; Ronan Fablet (ESANN, 2017)

Data-driven assimilation of irregularly-sampled image time series. - Ronan Fablet; Phi Huynh Viet; Redouane Lguensat; Bertrand Chapron (ICIP, 2017)

Locally-adapted convolution-based super-resolution of irregularly-sampled ocean remote sensing data. - Manuel Lopez-Radcenco; Ronan Fablet; Abdeldjalil Aïssa-El-Bey; Pierre Ailliot (ICIP, 2017)

Learning multi-tracer convolutional models for the reconstruction of high-resolution SSH fields. - Ronan Fablet; Manuel Lopez-Radcenco; Jacques Verron; Baptiste Mourre; Bertrand Chapron; Ananda Pascual (IGARSS, 2017)

Spatio-temporal interpolation of altimeter-derived SSH fields using analog data assimilation: A case-study in the south china sea. - Redouane Lguensat; Miao Sun; Ge Chen 002; Fenglin Tian; Ronan Fablet (IGARSS, 2017)

Brain MRI super-resolution using deep 3D convolutional networks. - Chi-Hieu Pham; Aurélien Ducournau; Ronan Fablet; François Rousseau 002 (ISBI, 2017)

Bilinear residual Neural Network for the identification and forecasting of dynamical systems. - Ronan Fablet; Said Ouala; Cédric Herzet (CoRR, 2017)

Data-Driven Models for the Spatio-Temporal Interpolation of Satellite-Derived SST Fields. - Ronan Fablet; Phi Huynh Viet; Redouane Lguensat (IEEE Trans. Computational Imaging, 2017)

A Multi-Task Deep Learning Architecture for Maritime Surveillance Using AIS Data Streams. - Duong Nguyen; Rodolphe Vadaine; Guillaume Hajduch; René Garello; Ronan Fablet (DSAA, 2018)

Bilinear Residual Neural Network for the Identification and Forecasting of Geophysical Dynamics. - Ronan Fablet; Said Ouala; Cédric Herzet (EUSIPCO, 2018)

An Approximate Message Passing Approach for DOA Estimation in Phase Noisy Environments. - Guillaume Beaumont; Ronan Fablet; Angélique Drémeau (LVA/ICA, 2018)

EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies. - Redouane Lguensat; Miao Sun; Ronan Fablet; Pierre Tandeo; Evan Mason; Ge Chen 002 (IGARSS, 2018)

Analog Data Assimilation for Along-Track Nadir and Swot Altimetry Data in the Western Mediterranean Sea. - Manuel Lopez-Radcenco; Ananda Pascual; Laura Gómez-Navarro; Abdeldjalil Aïssa-El-Bey; Ronan Fablet (IGARSS, 2018)

Sea Surface Temperature Prediction and Reconstruction Using Patch-Level Neural Network Representations. - Said Ouala; Cédric Herzet; Ronan Fablet (IGARSS, 2018)

Residual Networks as Geodesic Flows of Diffeomorphisms. - François Rousseau 002; Ronan Fablet (CoRR, 2018)

Multi-task Learning for Maritime Traffic Surveillance from AIS Data Streams. - Duong Nguyen; Rodolphe Vadaine; Guillaume Hajduch; René Garello; Ronan Fablet (CoRR, 2018)

Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation. - Ronan Fablet; Phi Huynh Viet; Redouane Lguensat; Pierre-Henri Horrein; Bertrand Chapron (Remote. Sens., 2018)

SWOT Spatial Scales in the Western Mediterranean Sea Derived from Pseudo-Observations and an Ad Hoc Filtering. - Laura Gómez-Navarro; Ronan Fablet; Evan Mason; Ananda Pascual; Baptiste Mourre; Emmanuel Cosme; Julien Le Sommer (Remote. Sens., 2018)

Neural Network Based Kalman Filters for the Spatio-Temporal Interpolation of Satellite-Derived Sea Surface Temperature. - Said Ouala; Ronan Fablet; Cédric Herzet; Bertrand Chapron; Ananda Pascual; Fabrice Collard; Lucile Gaultier (Remote. Sens., 2018)

Improving Mesoscale Altimetric Data From a Multitracer Convolutional Processing of Standard Satellite-Derived Products. - Ronan Fablet; Jacques Verron; Baptiste Mourre; Bertrand Chapron; Ananda Pascual (IEEE Trans. Geosci. Remote. Sens., 2018)

Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection. - Duong Nguyen; Oliver S. Kirsebom; Fábio Frazão; Ronan Fablet; Stan Matwin (ICASSP, 2019)

Learning Stochastic Representations of Geophysical Dynamics. - Said Ouala; Ronan Fablet; Cédric Herzet; Bertrand Chapron; Ananda Pascual; Fabrice Collard; Lucile Gaultier (ICASSP, 2019)

Residual Integration Neural Network. - Said Ouala; Ananda Pascual; Ronan Fablet (ICASSP, 2019)

Learning Differential Transport Operators for the Joint Super-Resolution of Sea Surface Tracers and Prediction of Subgrid-Scale Features. - Ronan Fablet; Julien Le Sommer; Jean-Marc Molines; Lucas Drumetz; François Rousseau 002; Bertrand Chapron (IGARSS, 2019)

Sea Surface Dynamics Reconstruction Using Neural Networks Based Kalman Filter. - Said Ouala; Ronan Fablet; Cédric Herzet; Lucas Drumetz; Bertrand Chapron; Ananda Pascual; Fabrice Collard; Lucile Gaultier (IGARSS, 2019)

Learning Ocean Dynamical Priors from Noisy Data Using Assimilation-Derived Neural Nets. - Said Ouala; Duong Nguyen; Cédric Herzet; Lucas Drumetz; Bertrand Chapron; Ananda Pascual; Fabrice Collard; Lucile Gaultier; Ronan Fablet (IGARSS, 2019)

Simultaneous Super-Resolution and Segmentation Using a Generative Adversarial Network: Application to Neonatal Brain MRI. - Chi-Hieu Pham; Carlos Tor-Díez; Hélène Meunier; Nathalie Bednarek; Ronan Fablet; Nicolas Passat; François Rousseau 002 (ISBI, 2019)

Multiscale brain MRI super-resolution using deep 3D convolutional networks. - Chi-Hieu Pham; Carlos Tor-Díez; Hélène Meunier; Nathalie Bednarek; Ronan Fablet; Nicolas Passat; François Rousseau 002 (Comput. Medical Imaging Graph., 2019)

EM-like Learning Chaotic Dynamics from Noisy and Partial Observations. - Duong Nguyen; Said Ouala; Lucas Drumetz; Ronan Fablet (CoRR, 2019)

Learning Latent Dynamics for Partially-Observed Chaotic Systems. - Said Ouala; Duong Nguyen; Lucas Drumetz; Bertrand Chapron; Ananda Pascual; Fabrice Collard; Lucile Gaultier; Ronan Fablet (CoRR, 2019)

End-to-end learning of energy-based representations for irregularly-sampled signals and images. - Ronan Fablet; Lucas Drumetz; François Rousseau 002 (CoRR, 2019)

Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models. - Redouane Lguensat; Julien Le Sommer; Sammy Metref; Emmanuel Cosme; Ronan Fablet (CoRR, 2019)

Ship Identification and Characterization in Sentinel-1 SAR Images with Multi-Task Deep Learning. - Clément Dechesne; Sébastien Lefèvre; Rodolphe Vadaine; Guillaume Hajduch; Ronan Fablet (Remote. Sens., 2019)

Data-Driven Interpolation of Sea Level Anomalies Using Analog Data Assimilation. - Redouane Lguensat; Phi Huynh Viet; Miao Sun; Ge Chen 002; Fenglin Tian; Bertrand Chapron; Ronan Fablet (Remote. Sens., 2019)

CNN-Based Target Recognition and Identification for Infrared Imaging in Defense Systems. - Antoine d'Acremont; Ronan Fablet; Alexandre Baussard; Guillaume Quin (Sensors, 2019)

Analog Data Assimilation of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations in the Western Mediterranean Sea. - Manuel Lopez-Radcenco; Ananda Pascual; Laura Gómez-Navarro; Abdeldjalil Aïssa-El-Bey; Bertrand Chapron; Ronan Fablet (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Data-driven and learning-based interpolations of along-track Nadir and wide-swath SWOT altimetry observations. - Maxime Beauchamp; Ronan Fablet; Clément Ubelmann; Maxime Ballarotta; Bertrand Chapron (CI, 2020)

Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation. - Lucas Drumetz; Mauro Dalla Mura; Guillaume Tochon; Ronan Fablet (ICASSP, 2020)

Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data. - Duong Nguyen; Said Ouala; Lucas Drumetz; Ronan Fablet (ICASSP, 2020)

Filtering Internal Tides from Wide-Swath Altimeter Data Using Convolutional Neural Networks. - Redouane Lguensat; Ronan Fablet; Julien Le Sommer; Sammy Metref; Emmanuel Cosme; Kaouther Ouenniche; Lucas Drumetz; Jonathan Gula (IGARSS, 2020)

Physically Informed Neural Networks for the Simulation and Data-Assimilation of Geophysical Dynamics. - Said Ouala; Ronan Fablet; Lucas Drumetz; Bertrand Chapron; Ananda Pascual; Fabrice Collard; Lucile Gaultier (IGARSS, 2020)

Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean. - Duong Nguyen; Matthieu Simonin; Guillaume Hajduch; Rodolphe Vadaine; Cédric Tedeschi; Ronan Fablet (MDM, 2020)

SegSRGAN: Super-resolution and segmentation using generative adversarial networks - Application to neonatal brain MRI. - Quentin Delannoy; Chi-Hieu Pham; Clément Cazorla; Carlos Tor-Díez; Guillaume Dollé; Hélène Meunier; Nathalie Bednarek; Ronan Fablet; Nicolas Passat; François Rousseau 002 (Comput. Biol. Medicine, 2020)

PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations. - Olivier Pannekoucke; Ronan Fablet (CoRR, 2020)

Joint learning of variational representations and solvers for inverse problems with partially-observed data. - Ronan Fablet; Lucas Drumetz; François Rousseau 002 (CoRR, 2020)

Learning Variational Data Assimilation Models and Solvers. - Ronan Fablet; Bertrand Chapron; Lucas Drumetz; Étienne Mémin; Olivier Pannekoucke; François Rousseau 002 (CoRR, 2020)

Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations. - Duong Nguyen; Said Ouala; Lucas Drumetz; Ronan Fablet (CoRR, 2020)

Physical invariance in neural networks for subgrid-scale scalar flux modeling. - Hugo Frezat; Guillaume Balarac; Julien Le Sommer; Ronan Fablet; Redouane Lguensat (CoRR, 2020)

Residual Networks as Flows of Diffeomorphisms. - François Rousseau 002; Lucas Drumetz; Ronan Fablet (J. Math. Imaging Vis., 2020)

Intercomparison of Data-Driven and Learning-Based Interpolations of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations. - Maxime Beauchamp; Ronan Fablet; Clément Ubelmann; Maxime Ballarotta; Bertrand Chapron (Remote. Sens., 2020)

Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. - Elodie Martinez; Anouar Brini; Thomas Gorgues; Lucas Drumetz; Joana Roussillon; Pierre Tandeo; Guillaume Maze; Ronan Fablet (Remote. Sens., 2020)

Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme. - Noura Dridi; Lucas Drumetz; Ronan Fablet (EUSIPCO, 2021)

Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Learnable Variational Models. - Simon Benaïchouche; Clément Le Goff; Yann Guichoux; François Rousseau 002; Ronan Fablet (ICASSP, 2021)

End-to-End Learning of Variational Models and Solvers for the Resolution of Interpolation Problems. - Ronan Fablet; Lucas Drumetz; François Rousseau 002 (ICASSP, 2021)

End-to-End Learning of Variational Interpolation Schemes for Satellite-Derived SSH Data. - Maxime Beauchamp; Mohamed Mahmoud Amar; Quentin Febvre; Ronan Fablet (IGARSS, 2021)

Segmentation of Sentinel-1 SAR Images Over the Ocean, Preliminary Methods and Assessments. - Aurélien Colin; Charles Peureux; Romain Husson; Nicolas Longépé; Régis Rauzy; Ronan Fablet; Pierre Tandeo; Samir Saoudi; Alexis Mouche; Gérald Dibarboure (IGARSS, 2021)

End-to-End Kalman Filter for the Reconstruction of Sea Surface Dynamics from Satellite Data. - Said Ouala; Ronan Fablet; Lucas Drumetz; Bertrand Chapron; Ananda Pascual; Fabrice Collard; Lucile Gaultier (IGARSS, 2021)

Data-Driven Spatio-Temporal Interpolation of Sea Surface Sediment Concentration from Satellite-Derived Data: An OSSE Case-Study in the Bay of Biscay. - Jean-Marie Vient; Frédéric Jourdin; Ronan Fablet; Baptiste Mengual; Ludivine Lafosse; Christophe Delacourt (IGARSS, 2021)

Learning Runge-Kutta Integration Schemes for ODE Simulation and Identification. - Said Ouala; Laurent Debreu; Ananda Pascual; Bertrand Chapron; Fabrice Collard; Lucile Gaultier; Ronan Fablet (CoRR, 2021)

TrAISformer-A generative transformer for AIS trajectory prediction. - Duong Nguyen; Ronan Fablet (CoRR, 2021)

A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps. - Hugo Frezat; Julien Le Sommer; Ronan Fablet; Guillaume Balarac; Redouane Lguensat (CoRR, 2021)

Joint Interpolation and Representation Learning for Irregularly Sampled Satellite-Derived Geophysical Fields. - Ronan Fablet; Maxime Beauchamp; Lucas Drumetz; François Rousseau 002 (Frontiers Appl. Math. Stat., 2021)

Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Trainable Variational Models. - Simon Benaïchouche; Clément Le Goff; Yann Guichoux; François Rousseau 002; Ronan Fablet (Remote. Sens., 2021)

Data-Driven Interpolation of Sea Surface Suspended Concentrations Derived from Ocean Colour Remote Sensing Data. - Jean-Marie Vient; Frédéric Jourdin; Ronan Fablet; Baptiste Mengual; Ludivine Lafosse; Christophe Delacourt (Remote. Sens., 2021)

Joint Calibration and Mapping of Satellite Altimetry Data Using Trainable Variational Models. - Quentin Febvre; Ronan Fablet; Julien Le Sommer; Clément Ubelmann (ICASSP, 2022)

Learnable Variational Models for the Reconstruction of Sea Surface Currents Using Ais Data Streams: A Case Study on the Sicily Channel. - Simon Benaïchouche; Clément Le Goff; Brahim Boussidi; François Rousseau 002; Ronan Fablet (IGARSS, 2022)

Segmentation of Rainfall Regimes by Machine Learning on a Colocalized Nexrad/Sentinel-1 Dataset. - Aurélien Colin; Charles Peureux; Romain Husson; Ronan Fablet; Pierre Tandeo (IGARSS, 2022)

Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning. - Said Ouala; Steven L. Brunton; Ananda Pascual; Bertrand Chapron; Fabrice Collard; Lucile Gaultier; Ronan Fablet (CoRR, 2022)

Multimodal learning-based inversion models for the space-time reconstruction of satellite-derived geophysical fields. - Ronan Fablet; Bertrand Chapron (CoRR, 2022)

A posteriori learning for quasi-geostrophic turbulence parametrization. - Hugo Frezat; Julien Le Sommer; Ronan Fablet; Guillaume Balarac; Redouane Lguensat (CoRR, 2022)

Rain Rate Estimation with SAR using NEXRAD measurements with Convolutional Neural Networks. - Aurélien Colin; Pierre Tandeo; Charles Peureux; Romain Husson; Nicolas Longépé; Ronan Fablet (CoRR, 2022)

Learning-based estimation of in-situ wind speed from underwater acoustics. - Matteo Zambra; Dorian Cazau; Nicolas Farrugia; Alexandre Gensse; Sara Pensieri; Roberto Bozzano; Ronan Fablet (CoRR, 2022)

Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables. - J. Emmanuel Johnson; Redouane Lguensat; Ronan Fablet; Emmanuel Cosme; Julien Le Sommer (CoRR, 2022)

Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets. - Ronan Fablet; Bertrand Chapron; Julien Le Sommer; Florian Sévellec (CoRR, 2022)

Deep inference of seabird dives from GPS-only records: Performance and generalization properties. - Amédée Roy; Sophie Bertrand; Ronan Fablet (PLoS Comput. Biol., 2022)

Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning. - Aurélien Colin; Ronan Fablet; Pierre Tandeo; Romain Husson; Charles Peureux; Nicolas Longépé; Alexis Mouche (Remote. Sens., 2022)

Correction: Martinez et al. Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sens. 12, 2020, 4156. - Elodie Martinez; Anouar Brini; Thomas Gorgues; Lucas Drumetz; Joana Roussillon; Pierre Tandeo; Guillaume Maze; Ronan Fablet (Remote. Sens., 2022)

End-to-End Neural Interpolation of Satellite-Derived Sea Surface Suspended Sediment Concentrations. - Jean-Marie Vient; Ronan Fablet; Frédéric Jourdin; Christophe Delacourt (Remote. Sens., 2022)

GeoTrackNet - A Maritime Anomaly Detector Using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection. - Duong Nguyen; Rodolphe Vadaine; Guillaume Hajduch; René Garello; Ronan Fablet (IEEE Trans. Intell. Transp. Syst., 2022)

Gulf Stream Daily Temperature, Salinity and Mixed Layer Depth fields from Ocean Stratification network (OSnet). - Etienne Pauthenet; Loïc Bachelot; Anne-Marie Tréguier; Kevin Balem; Guillaume Maze; Fabien Roquet; Ronan Fablet; Pierre Tandeo (Zenodo, 2022)

Deep Learning for Lagrangian Drift Simulation at The Sea Surface. - Daria Botvynko; Carlos Granero-Belinchón; Simon Van Gennip; Abdesslam Benzinou; Ronan Fablet (ICASSP, 2023)

Learning Neural Optimal Interpolation Models and Solvers. - Maxime Beauchamp; Quentin Febvre; Joseph Thompson; Hugo Georgenthum; Ronan Fablet (ICCS (4), 2023)

Data-Driven Reconstruction of Sea Surface Turbidity Dynamics with 4dVarNet Neural Scheme Applied To Gappy Satellite Images. - Clément Dorffer; Frédéric Jourdin; David Mouillot; Rodolphe Devillers; Ronan Fablet; Quentin Febvre (IGARSS, 2023)

AI Data-Driven Sediments Dynamics Short Term Forecast From Observation in the Bay of Biscay. - Jean-Marie Vient; Frédéric Jourdin; Ronan Fablet; Clément Dorffer; Christophe Delacourt (IGARSS, 2023)

OceanBench: The Sea Surface Height Edition. - J. Emmanuel Johnson; Quentin Febvre; Anastasiia Gorbunova; Sammy Metref; Maxime Ballarotta; Julien Le Sommer; Ronan Fablet (NeurIPS, 2023)

A VAE Approach to Sample Multivariate Extremes. - Nicolas Lafon; Philippe Naveau; Ronan Fablet (CoRR, 2023)

Training neural mapping schemes for satellite altimetry with simulation data. - Quentin Febvre; Julien Le Sommer; Clément Ubelmann; Ronan Fablet (CoRR, 2023)

Building a Safer Maritime Environment Through Multi-Path Long-Term Vessel Trajectory Forecasting. - Gabriel Spadon; Jay Kumar; Matthew Smith; Sarah Vela; Romina Gehrmann; Derek Eden; Joshua van Berkel; Amílcar Soares 001; Ronan Fablet; Ronald Pelot; Stan Matwin (CoRR, 2023)

Gradient-free online learning of subgrid-scale dynamics with neural emulators. - Hugo Frezat; Guillaume Balarac; Julien Le Sommer; Ronan Fablet (CoRR, 2023)

Online Calibration of Deep Learning Sub-Models for Hybrid Numerical Modeling Systems. - Said Ouala; Bertrand Chapron; Fabrice Collard; Lucile Gaultier; Ronan Fablet (CoRR, 2023)

Multi-Modal Learning-based Reconstruction of High-Resolution Spatial Wind Speed Fields. - Matteo Zambra; Nicolas Farrugia; Dorian Cazau; Alexandre Gensse; Ronan Fablet (CoRR, 2023)

Reduction of Rain-Induced Errors for Wind Speed Estimation on SAR Observations Using Convolutional Neural Networks. - Aurélien Colin; Pierre Tandeo; Charles Peureux; Romain Husson; Ronan Fablet (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Multimodal 4DVarNets for the Reconstruction of Sea Surface Dynamics From SST-SSH Synergies. - Ronan Fablet; Quentin Febvre; Bertrand Chapron (IEEE Trans. Geosci. Remote. Sens., 2023)

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. - Sibo Cheng; César Quilodrán Casas; Said Ouala; Alban Farchi; Che Liu; Pierre Tandeo; Ronan Fablet; Didier Lucor; Bertrand Iooss; Julien Brajard; Dunhui Xiao; Tijana Janjic; et al. (IEEE CAA J. Autom. Sinica, 2023)

Multimodal deep learning for cetacean distribution modeling of fin whales (Balaenoptera physalus) in the western Mediterranean Sea. - Dorian Cazau; Paul Nguyen Hong Duc; J.-N. Druon; S. Matwins; Ronan Fablet (Mach. Learn., 2023)

Extending the extended dynamic mode decomposition with latent observables: the latent EDMD framework. - Said Ouala; Bertrand Chapron; Fabrice Collard; Lucile Gaultier; Ronan Fablet (Mach. Learn. Sci. Technol., 2023)

Impact of Sampling Strategies on the Monitoring of Climate Regime Shifts with a Learning Data Assimilation Method. - Perrine Bauchot; Angélique Drémeau; Florian Sévellec; Ronan Fablet (ICASSP, 2024)

Neural Ordinary Differential Equations with Trainable Solvers. - Said Ouala; Laurent Debreu; Bertrand Chapron; Fabrice Collard; Lucile Gaultier; Ronan Fablet (ICASSP, 2024)

Deep Learning Inversion of Ocean Wave Spectrum from SAR Satellite Observations. - S. P. Tripathi; Bertrand Chapron; Fabrice Collard; Gilles Guitton; Manuel Lopez-Radcenco; Alexis Mouche; Ronan Fablet (ICASSP, 2024)

Adaptive Spatial and Multi-Variable Generalization of 4dvarnet in Ocean Colour Remote Sensing. - Clément Dorffer; Thi Thuy Nga Nguyen; Ronan Fablet; Frédéric Jourdin (IGARSS, 2024)

A Transformer Network With Sparse Augmented Data Representation and Cross Entropy Loss for AIS-Based Vessel Trajectory Prediction. - Duong Nguyen; Ronan Fablet (IEEE Access, 2024)

SPDE priors for uncertainty quantification of end-to-end neural data assimilation schemes. - Maxime Beauchamp; Nicolas Desassis; J. Emmanuel Johnson; Simon Benaïchouche; Pierre Tandeo; Ronan Fablet (CoRR, 2024)

Neural Incremental Data Assimilation. - Matthieu Blanke; Ronan Fablet; Marc Lelarge (CoRR, 2024)

Rain Regime Segmentation of Sentinel-1 Observation Learning From NEXRAD Collocations With Convolution Neural Networks. - Aurélien Colin; Pierre Tandeo; Charles Peureux; Romain Husson; Nicolas Longépé; Ronan Fablet (IEEE Trans. Geosci. Remote. Sens., 2024)

Scale-Aware Neural Calibration for Wide Swath Altimetry Observations. - Quentin Febvre; Clément Ubelmann; Julien Le Sommer; Ronan Fablet (IEEE Trans. Geosci. Remote. Sens., 2024)

Simulation-informed deep learning for enhanced SWOT observations of fine-scale ocean dynamics. - Eugenio Cutolo; Carlos Granero-Belinchón; Ptashanna Thiraux; Jinbo Wang; Ronan Fablet (CoRR, 2025)