Ronan Fablet - RankMe

209 papers A* 2B 22C 25Misc 17Journal 108Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discovering Data Manifold Geometry via Non-Contracting Flows. CoRR David Vigouroux, Lucas Drumetz, Ronan Fablet, François Rousseau
2026	J	`jnl`	Enhanced Computational Complexity in Continuous-Depth Models: Neural Ordinary Differential Equations With Trainable Numerical Schemes. IEEE Trans. Pattern Anal. Mach. Intell. Said Ouala, Laurent Debreu, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2026	J	`jnl`	Majorization-Minimization Networks for Inverse Problems: An Application to EEG Imaging. CoRR Le Minh Triet Tran, Sarah Reynaud, Ronan Fablet, Adrien Merlini, François Rousseau, Mai Quyen Pham
2026	J	`jnl`	Static and auto-regressive neural emulation of phytoplankton biomass dynamics from physical predictors in the global ocean. CoRR Mahima Lakra, Ronan Fablet, Lucas Drumetz, Etienne Pauthenet, Elodie Martinez
2025	J	`jnl`	Generalization Performance of Neural Mapping Schemes for the Space-Time Interpolation of Satellite-Derived Ocean Color Datasets. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Thi Thuy Nga Nguyen, Clément Dorffer, Frédéric Jourdin, Ronan Fablet
2025	J	`jnl`	Neural ocean forecasting from sparse satellite-derived observations: a case-study for SSH dynamics and altimetry data. CoRR Daria Botvynko, Pierre Haslée, Lucile Gaultier, Bertrand Chapron, Clément de Boyer Montégut, Anass El Aouni, Julien Le Sommer, Ronan Fablet
2025	J	`jnl`	Observation-Only Deep Learning for Gappy Satellite-Derived Ocean Color Data Using 4DVarNet. IEEE Trans. Geosci. Remote. Sens. Clément Dorffer, Frédéric Jourdin, Thi Thuy Nga Nguyen, Rodolphe Devillers, David Mouillot, Ronan Fablet
2025	J	`jnl`	Simulation-informed deep learning for enhanced SWOT observations of fine-scale ocean dynamics. CoRR Eugenio Cutolo, Carlos Granero-Belinchón, Ptashanna Thiraux, Jinbo Wang, Ronan Fablet
2025	J	`jnl`	Towards fully differentiable neural ocean model with Veros. CoRR Etienne Meunier, Said Ouala, Hugo Frezat, Julien Le Sommer, Ronan Fablet
2024	J	`jnl`	A Transformer Network With Sparse Augmented Data Representation and Cross Entropy Loss for AIS-Based Vessel Trajectory Prediction. IEEE Access Duong Nguyen, Ronan Fablet
2024	C	`conf`	Adaptive Spatial and Multi-Variable Generalization of 4dvarnet in Ocean Colour Remote Sensing. IGARSS Clément Dorffer, Thi Thuy Nga Nguyen, Ronan Fablet, Frédéric Jourdin
2024	Misc	`conf`	Deep Learning Inversion of Ocean Wave Spectrum from SAR Satellite Observations. ICASSP S. P. Tripathi, Bertrand Chapron, Fabrice Collard, Gilles Guitton, Manuel Lopez-Radcenco, Alexis Mouche, Ronan Fablet
2024	Misc	`conf`	Impact of Sampling Strategies on the Monitoring of Climate Regime Shifts with a Learning Data Assimilation Method. ICASSP Perrine Bauchot, Angélique Drémeau, Florian Sévellec, Ronan Fablet
2024	J	`jnl`	Neural Incremental Data Assimilation. CoRR Matthieu Blanke, Ronan Fablet, Marc Lelarge
2024	Misc	`conf`	Neural Ordinary Differential Equations with Trainable Solvers. ICASSP Said Ouala, Laurent Debreu, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2024	J	`jnl`	Rain Regime Segmentation of Sentinel-1 Observation Learning From NEXRAD Collocations With Convolution Neural Networks. IEEE Trans. Geosci. Remote. Sens. Aurélien Colin, Pierre Tandeo, Charles Peureux, Romain Husson, Nicolas Longépé, Ronan Fablet
2024	J	`jnl`	SPDE priors for uncertainty quantification of end-to-end neural data assimilation schemes. CoRR Maxime Beauchamp, Nicolas Desassis, J. Emmanuel Johnson, Simon Benaïchouche, Pierre Tandeo, Ronan Fablet
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	J	`jnl`	A VAE Approach to Sample Multivariate Extremes. CoRR Nicolas Lafon, Philippe Naveau, Ronan Fablet
2023	C	`conf`	AI Data-Driven Sediments Dynamics Short Term Forecast From Observation in the Bay of Biscay. IGARSS Jean-Marie Vient, Frédéric Jourdin, Ronan Fablet, Clément Dorffer, Christophe Delacourt
2023	J	`jnl`	Building a Safer Maritime Environment Through Multi-Path Long-Term Vessel Trajectory Forecasting. CoRR Gabriel Spadon, Jay Kumar, Matthew Smith, Sarah Vela, Romina Gehrmann, Derek Eden, Joshua van Berkel, Amílcar Soares, Ronan Fablet, Ronald Pelot, Stan Matwin
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	Misc	`conf`	Deep Learning for Lagrangian Drift Simulation at The Sea Surface. ICASSP Daria Botvynko, Carlos Granero-Belinchón, Simon Van Gennip, Abdesslam Benzinou, Ronan Fablet
2023	J	`jnl`	Extending the extended dynamic mode decomposition with latent observables: the latent EDMD framework. Mach. Learn. Sci. Technol. Said Ouala, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2023	J	`jnl`	Gradient-free online learning of subgrid-scale dynamics with neural emulators. CoRR Hugo Frezat, Guillaume Balarac, Julien Le Sommer, Ronan Fablet
2023	—	`conf`	Learning Neural Optimal Interpolation Models and Solvers. ICCS (4) Maxime Beauchamp, Quentin Febvre, Joseph Thompson, Hugo Georgenthum, Ronan Fablet
2023	J	`jnl`	Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 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, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci
2023	J	`jnl`	Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR 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, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci
2023	J	`jnl`	Multi-Modal Learning-based Reconstruction of High-Resolution Spatial Wind Speed Fields. CoRR Matteo Zambra, Nicolas Farrugia, Dorian Cazau, Alexandre Gensse, 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	J	`jnl`	Multimodal deep learning for cetacean distribution modeling of fin whales (Balaenoptera physalus) in the western Mediterranean Sea. Mach. Learn. Dorian Cazau, Paul Nguyen Hong Duc, J.-N. Druon, S. Matwins, Ronan Fablet
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`	Online Calibration of Deep Learning Sub-Models for Hybrid Numerical Modeling Systems. CoRR Said Ouala, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2023	J	`jnl`	Reduction of Rain-Induced Errors for Wind Speed Estimation on SAR Observations Using Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Aurélien Colin, Pierre Tandeo, Charles Peureux, Romain Husson, Ronan Fablet
2023	J	`jnl`	Reduction of rain-induced errors for wind speed estimation on SAR observations using convolutional neural networks. CoRR Aurélien Colin, Pierre Tandeo, Charles Peureux, Romain Husson, Ronan Fablet
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	J	`jnl`	A posteriori learning for quasi-geostrophic turbulence parametrization. CoRR Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat
2022	J	`jnl`	Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning. CoRR Said Ouala, Steven L. Brunton, Ananda Pascual, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2022	J	`jnl`	Correction: Martinez et al. Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sens. 12, 2020, 4156. Remote. Sens. Elodie Martinez, Anouar Brini, Thomas Gorgues, Lucas Drumetz, Joana Roussillon, Pierre Tandeo, Guillaume Maze, Ronan Fablet
2022	J	`jnl`	Deep inference of seabird dives from GPS-only records: Performance and generalization properties. PLoS Comput. Biol. Amédée Roy, Sophie Bertrand, Ronan Fablet
2022	J	`jnl`	Deep learning for Lagrangian drift simulation at the sea surface. CoRR Daria Botvynko, Carlos Granero-Belinchón, Simon Van Gennip, Abdesslam Benzinou, Ronan Fablet
2022	J	`jnl`	End-to-End Neural Interpolation of Satellite-Derived Sea Surface Suspended Sediment Concentrations. Remote. Sens. Jean-Marie Vient, Ronan Fablet, Frédéric Jourdin, Christophe Delacourt
2022	J	`jnl`	GeoTrackNet - A Maritime Anomaly Detector Using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection. IEEE Trans. Intell. Transp. Syst. Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet
2022	J	`jnl`	Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets. CoRR Ronan Fablet, Bertrand Chapron, Julien Le Sommer, Florian Sévellec
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
2022	C	`conf`	Learnable Variational Models for the Reconstruction of Sea Surface Currents Using Ais Data Streams: A Case Study on the Sicily Channel. IGARSS Simon Benaïchouche, Clément Le Goff, Brahim Boussidi, François Rousseau, Ronan Fablet
2022	J	`jnl`	Learning-based estimation of in-situ wind speed from underwater acoustics. CoRR Matteo Zambra, Dorian Cazau, Nicolas Farrugia, Alexandre Gensse, Sara Pensieri, Roberto Bozzano, Ronan Fablet
2022	J	`jnl`	Multimodal learning-based inversion models for the space-time reconstruction of satellite-derived geophysical fields. CoRR Ronan Fablet, Bertrand Chapron
2022	J	`jnl`	Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables. CoRR J. Emmanuel Johnson, Redouane Lguensat, Ronan Fablet, Emmanuel Cosme, Julien Le Sommer
2022	J	`jnl`	Rain Rate Estimation with SAR using NEXRAD measurements with Convolutional Neural Networks. CoRR Aurélien Colin, Pierre Tandeo, Charles Peureux, Romain Husson, Nicolas Longépé, Ronan Fablet
2022	C	`conf`	Segmentation of Rainfall Regimes by Machine Learning on a Colocalized Nexrad/Sentinel-1 Dataset. IGARSS Aurélien Colin, Charles Peureux, Romain Husson, Ronan Fablet, Pierre Tandeo
2022	J	`jnl`	Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning. Remote. Sens. Aurélien Colin, Ronan Fablet, Pierre Tandeo, Romain Husson, Charles Peureux, Nicolas Longépé, Alexis Mouche
2021	J	`jnl`	A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps. CoRR Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat
2021	J	`jnl`	Data-Driven Interpolation of Sea Surface Suspended Concentrations Derived from Ocean Colour Remote Sensing Data. Remote. Sens. Jean-Marie Vient, Frédéric Jourdin, Ronan Fablet, Baptiste Mengual, Ludivine Lafosse, Christophe Delacourt
2021	C	`conf`	Data-Driven Spatio-Temporal Interpolation of Sea Surface Sediment Concentration from Satellite-Derived Data: An OSSE Case-Study in the Bay of Biscay. IGARSS Jean-Marie Vient, Frédéric Jourdin, Ronan Fablet, Baptiste Mengual, Ludivine Lafosse, Christophe Delacourt
2021	C	`conf`	End-to-End Kalman Filter for the Reconstruction of Sea Surface Dynamics from Satellite Data. IGARSS Said Ouala, Ronan Fablet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier
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	Misc	`conf`	End-to-End Learning of Variational Models and Solvers for the Resolution of Interpolation Problems. ICASSP Ronan Fablet, Lucas Drumetz, François Rousseau
2021	J	`jnl`	Joint Interpolation and Representation Learning for Irregularly Sampled Satellite-Derived Geophysical Fields. Frontiers Appl. Math. Stat. Ronan Fablet, Maxime Beauchamp, Lucas Drumetz, François Rousseau
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
2021	J	`jnl`	Learning Runge-Kutta Integration Schemes for ODE Simulation and Identification. CoRR Said Ouala, Laurent Debreu, Ananda Pascual, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2021	—	`conf`	Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme. EUSIPCO Noura Dridi, Lucas Drumetz, Ronan Fablet
2021	J	`jnl`	Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme. CoRR Noura Dridi, Lucas Drumetz, Ronan Fablet
2021	C	`conf`	Segmentation of Sentinel-1 SAR Images Over the Ocean, Preliminary Methods and Assessments. IGARSS Aurélien Colin, Charles Peureux, Romain Husson, Nicolas Longépé, Régis Rauzy, Ronan Fablet, Pierre Tandeo, Samir Saoudi, Alexis Mouche, Gérald Dibarboure
2021	J	`jnl`	TrAISformer-A generative transformer for AIS trajectory prediction. CoRR Duong Nguyen, Ronan Fablet
2021	Misc	`conf`	Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Learnable Variational Models. ICASSP Simon Benaïchouche, Clément Le Goff, Yann Guichoux, François Rousseau, Ronan Fablet
2021	J	`jnl`	Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Trainable Variational Models. Remote. Sens. Simon Benaïchouche, Clément Le Goff, Yann Guichoux, François Rousseau, Ronan Fablet
2020	Misc	`conf`	Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data. ICASSP Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
2020	—	`conf`	Data-driven and learning-based interpolations of along-track Nadir and wide-swath SWOT altimetry observations. CI Maxime Beauchamp, Ronan Fablet, Clément Ubelmann, Maxime Ballarotta, Bertrand Chapron
2020	B	`conf`	Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean. MDM Duong Nguyen, Matthieu Simonin, Guillaume Hajduch, Rodolphe Vadaine, Cédric Tedeschi, Ronan Fablet
2020	J	`jnl`	Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean. CoRR Duong Nguyen, Matthieu Simonin, Guillaume Hajduch, Rodolphe Vadaine, Cédric Tedeschi, Ronan Fablet
2020	J	`jnl`	Filtering Internal Tides From Wide-Swath Altimeter Data Using Convolutional Neural Networks. CoRR Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula
2020	C	`conf`	Filtering Internal Tides from Wide-Swath Altimeter Data Using Convolutional Neural Networks. IGARSS Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula
2020	J	`jnl`	Intercomparison of Data-Driven and Learning-Based Interpolations of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations. Remote. Sens. Maxime Beauchamp, Ronan Fablet, Clément Ubelmann, Maxime Ballarotta, Bertrand Chapron
2020	J	`jnl`	Joint learning of variational representations and solvers for inverse problems with partially-observed data. CoRR Ronan Fablet, Lucas Drumetz, François Rousseau
2020	Misc	`conf`	Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation. ICASSP Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Ronan Fablet
2020	J	`jnl`	Learning Variational Data Assimilation Models and Solvers. CoRR Ronan Fablet, Bertrand Chapron, Lucas Drumetz, Étienne Mémin, Olivier Pannekoucke, François Rousseau
2020	J	`jnl`	Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote. Sens. Elodie Martinez, Anouar Brini, Thomas Gorgues, Lucas Drumetz, Joana Roussillon, Pierre Tandeo, Guillaume Maze, Ronan Fablet
2020	J	`jnl`	PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations. CoRR Olivier Pannekoucke, Ronan Fablet
2020	J	`jnl`	Physical invariance in neural networks for subgrid-scale scalar flux modeling. CoRR Hugo Frezat, Guillaume Balarac, Julien Le Sommer, Ronan Fablet, Redouane Lguensat
2020	C	`conf`	Physically Informed Neural Networks for the Simulation and Data-Assimilation of Geophysical Dynamics. IGARSS Said Ouala, Ronan Fablet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier
2020	J	`jnl`	Residual Networks as Flows of Diffeomorphisms. J. Math. Imaging Vis. François Rousseau, Lucas Drumetz, Ronan Fablet
2020	J	`jnl`	SegSRGAN: Super-resolution and segmentation using generative adversarial networks - Application to neonatal brain MRI. Comput. Biol. Medicine Quentin Delannoy, Chi-Hieu Pham, Clément Cazorla, Carlos Tor-Díez, Guillaume Dollé, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau
2020	J	`jnl`	Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations. CoRR Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
2019	J	`jnl`	Analog Data Assimilation of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations in the Western Mediterranean Sea. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Manuel Lopez-Radcenco, Ananda Pascual, Laura Gómez-Navarro, Abdeldjalil Aïssa-El-Bey, Bertrand Chapron, Ronan Fablet
2019	J	`jnl`	CNN-Based Target Recognition and Identification for Infrared Imaging in Defense Systems. Sensors Antoine d'Acremont, Ronan Fablet, Alexandre Baussard, Guillaume Quin
2019	J	`jnl`	Data-Driven Interpolation of Sea Level Anomalies Using Analog Data Assimilation. Remote. Sens. Redouane Lguensat, Phi Huynh Viet, Miao Sun, Ge Chen, Fenglin Tian, Bertrand Chapron, Ronan Fablet
2019	J	`jnl`	EM-like Learning Chaotic Dynamics from Noisy and Partial Observations. CoRR Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
2019	J	`jnl`	End-to-end learning of energy-based representations for irregularly-sampled signals and images. CoRR Ronan Fablet, Lucas Drumetz, François Rousseau
2019	J	`jnl`	GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection. CoRR Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet
2019	C	`conf`	Learning Differential Transport Operators for the Joint Super-Resolution of Sea Surface Tracers and Prediction of Subgrid-Scale Features. IGARSS Ronan Fablet, Julien Le Sommer, Jean-Marc Molines, Lucas Drumetz, François Rousseau, Bertrand Chapron
2019	J	`jnl`	Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models. CoRR Redouane Lguensat, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Ronan Fablet
2019	J	`jnl`	Learning Latent Dynamics for Partially-Observed Chaotic Systems. CoRR Said Ouala, Duong Nguyen, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2019	C	`conf`	Learning Ocean Dynamical Priors from Noisy Data Using Assimilation-Derived Neural Nets. IGARSS Said Ouala, Duong Nguyen, Cédric Herzet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2019	Misc	`conf`	Learning Stochastic Representations of Geophysical Dynamics. ICASSP Said Ouala, Ronan Fablet, Cédric Herzet, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier
2019	J	`jnl`	Multiscale brain MRI super-resolution using deep 3D convolutional networks. Comput. Medical Imaging Graph. Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau
2019	Misc	`conf`	Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection. ICASSP Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin
2019	J	`jnl`	Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection. CoRR Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin
2019	Misc	`conf`	Residual Integration Neural Network. ICASSP Said Ouala, Ananda Pascual, Ronan Fablet
2019	C	`conf`	Sea Surface Dynamics Reconstruction Using Neural Networks Based Kalman Filter. IGARSS Said Ouala, Ronan Fablet, Cédric Herzet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier
2019	J	`jnl`	Ship Identification and Characterization in Sentinel-1 SAR Images with Multi-Task Deep Learning. Remote. Sens. Clément Dechesne, Sébastien Lefèvre, Rodolphe Vadaine, Guillaume Hajduch, Ronan Fablet
2019	—	`conf`	Simultaneous Super-Resolution and Segmentation Using a Generative Adversarial Network: Application to Neonatal Brain MRI. ISBI Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau
2018	B	`conf`	A Multi-Task Deep Learning Architecture for Maritime Surveillance Using AIS Data Streams. DSAA Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet
2018	—	`conf`	An Approximate Message Passing Approach for DOA Estimation in Phase Noisy Environments. LVA/ICA Guillaume Beaumont, Ronan Fablet, Angélique Drémeau
2018	C	`conf`	Analog Data Assimilation for Along-Track Nadir and Swot Altimetry Data in the Western Mediterranean Sea. IGARSS Manuel Lopez-Radcenco, Ananda Pascual, Laura Gómez-Navarro, Abdeldjalil Aïssa-El-Bey, Ronan Fablet
2018	—	`conf`	Bilinear Residual Neural Network for the Identification and Forecasting of Geophysical Dynamics. EUSIPCO Ronan Fablet, Said Ouala, Cédric Herzet
2018	C	`conf`	EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies. IGARSS Redouane Lguensat, Miao Sun, Ronan Fablet, Pierre Tandeo, Evan Mason, Ge Chen
2018	J	`jnl`	Improving Mesoscale Altimetric Data From a Multitracer Convolutional Processing of Standard Satellite-Derived Products. IEEE Trans. Geosci. Remote. Sens. Ronan Fablet, Jacques Verron, Baptiste Mourre, Bertrand Chapron, Ananda Pascual
2018	J	`jnl`	Multi-task Learning for Maritime Traffic Surveillance from AIS Data Streams. CoRR Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet
2018	J	`jnl`	Neural Network Based Kalman Filters for the Spatio-Temporal Interpolation of Satellite-Derived Sea Surface Temperature. Remote. Sens. Said Ouala, Ronan Fablet, Cédric Herzet, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier
2018	J	`jnl`	Residual Networks as Geodesic Flows of Diffeomorphisms. CoRR François Rousseau, Ronan Fablet
2018	J	`jnl`	SWOT Spatial Scales in the Western Mediterranean Sea Derived from Pseudo-Observations and an Ad Hoc Filtering. Remote. Sens. Laura Gómez-Navarro, Ronan Fablet, Evan Mason, Ananda Pascual, Baptiste Mourre, Emmanuel Cosme, Julien Le Sommer
2018	C	`conf`	Sea Surface Temperature Prediction and Reconstruction Using Patch-Level Neural Network Representations. IGARSS Said Ouala, Cédric Herzet, Ronan Fablet
2018	J	`jnl`	Sea surface temperature prediction and reconstruction using patch-level neural network representations. CoRR Said Ouala, Cédric Herzet, Ronan Fablet
2018	J	`jnl`	Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation. Remote. Sens. Ronan Fablet, Phi Huynh Viet, Redouane Lguensat, Pierre-Henri Horrein, Bertrand Chapron
2017	J	`jnl`	Bilinear residual Neural Network for the identification and forecasting of dynamical systems. CoRR Ronan Fablet, Said Ouala, Cédric Herzet
2017	—	`conf`	Brain MRI super-resolution using deep 3D convolutional networks. ISBI Chi-Hieu Pham, Aurélien Ducournau, Ronan Fablet, François Rousseau
2017	J	`jnl`	Data-Driven Models for the Spatio-Temporal Interpolation of Satellite-Derived SST Fields. IEEE Trans. Computational Imaging Ronan Fablet, Phi Huynh Viet, Redouane Lguensat
2017	B	`conf`	Data-driven assimilation of irregularly-sampled image time series. ICIP Ronan Fablet, Phi Huynh Viet, Redouane Lguensat, Bertrand Chapron
2017	J	`jnl`	EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies. CoRR Redouane Lguensat, Miao Sun, Ronan Fablet, Evan Mason, Pierre Tandeo, Ge Chen
2017	C	`conf`	Learning multi-tracer convolutional models for the reconstruction of high-resolution SSH fields. IGARSS Ronan Fablet, Manuel Lopez-Radcenco, Jacques Verron, Baptiste Mourre, Bertrand Chapron, Ananda Pascual
2017	B	`conf`	Locally-adapted convolution-based super-resolution of irregularly-sampled ocean remote sensing data. ICIP Manuel Lopez-Radcenco, Ronan Fablet, Abdeldjalil Aïssa-El-Bey, Pierre Ailliot
2017	B	`conf`	Non-negative decomposition of geophysical dynamics. ESANN Manuel Lopez-Radcenco, Abdeldjalil Aïssa-El-Bey, Pierre Ailliot, Ronan Fablet
2017	C	`conf`	Spatio-temporal interpolation of altimeter-derived SSH fields using analog data assimilation: A case-study in the south china sea. IGARSS Redouane Lguensat, Miao Sun, Ge Chen, Fenglin Tian, Ronan Fablet
2016	—	`conf`	An exemplar-based hidden Markov model framework for nonlinear state-space models. EUSIPCO Redouane Lguensat, Ronan Fablet, Pierre Ailliot, Pierre Tandeo
2016	J	`jnl`	Assimilative 2-D Lagrangian Transport Model for the Estimation of Oil Leakage Parameters From SAR Images: Application to the Montara Oil Spill. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Budhi Gunadharma Gautama, Nicolas Longépé, Ronan Fablet, Grégoire Mercier
2016	B	`conf`	Convolutional Neural Networks for object recognition on mobile devices: A case study. ICPR Luis Tobias, Aurélien Ducournau, François Rousseau, Grégoire Mercier, Ronan Fablet
2016	J	`jnl`	Foreword to the Special Issue on the Remote Sensing of the World Oceans. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xiaofeng Li, Ronan Fablet
2016	J	`jnl`	Joint Interpolation of Multisensor Sea Surface Temperature Fields Using Nonlocal and Statistical Priors. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Ronan Fablet, François Rousseau
2016	Misc	`conf`	Non-negative decomposition of linear relationships: Application to multi-source ocean remote sensing data. ICASSP Manuel Lopez-Radcenco, Abdeldjalil Aïssa-El-Bey, Pierre Ailliot, Pierre Tandeo, Ronan Fablet
2016	J	`jnl`	Spatio-Temporal Decomposition of Satellite-Derived SST-SSH Fields: Links Between Surface Data and Ocean Interior Dynamics in the Agulhas Region. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Clément Le Goff, Ronan Fablet, Pierre Tandeo, Emmanuelle Autret, Bertrand Chapron
2016	—	`conf`	Texture synthesis guided by a low-resolution image. IVMSP Mireille El Gheche, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle, Ronan Fablet
2016	J	`jnl`	Validation and Parameter Sensitivity Tests for Reconstructing Swell Field Based on an Ensemble Kalman Filter. Sensors Xuan Wang, Pierre Tandeo, Ronan Fablet, Romain Husson, Lei Guan, Ge Chen
2015	J	`jnl`	Characterization of Time-Varying Regimes in Remote Sensing Time Series: Application to the Forecasting of Satellite-Derived Suspended Matter Concentrations. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Bertrand Saulquin, Ronan Fablet, Pierre Ailliot, Grégoire Mercier, David Doxaran, Antoine Mangin, Odile Fanton d'Andon
2015	J	`jnl`	Learning-Based Emulation of Sea Surface Wind Fields From Numerical Model Outputs and SAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Liyun He, Ronan Fablet, Bertrand Chapron, Jean Tournadre
2015	B	`conf`	Missing data super-resolution using non-local and statistical priors. ICIP Ronan Fablet, François Rousseau
2015	B	`conf`	Non-homogeneous priors in a Bayesian latent class model for ocean color inversion. ICIP Bertrand Saulquin, Ronan Fablet, Ludovic Bourg, Grégoire Mercier, Odile Fanton d'Andon
2015	B	`conf`	Non-parametric Ensemble Kalman methods for the inpainting of noisy dynamic textures. ICIP Redouane Lguensat, Pierre Tandeo, Ronan Fablet, Pierre Ailliot
2014	C	`conf`	Hidden surface dynamical modes and SSH retrievals from a joint analysis of altimetry and microwave SST. IGARSS Pierre Tandeo, Ronan Fablet, Pierre Ailliot
2014	J	`jnl`	Multiscale Analysis of Geometric Planar Deformations: Application to Wild Animal Electronic Tracking and Satellite Ocean Observation Data. IEEE Trans. Geosci. Remote. Sens. Ronan Fablet, Alexis Chaigneau, Sophie Bertrand
2014	J	`jnl`	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. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Bertrand Saulquin, Ronan Fablet, Grégoire Mercier, Hervé Demarcq, Antoine Mangin, Odile Fanton d'Andon
2014	B	`conf`	Ocean surface current retrieval using a non homogeneous Markov-switching multi-regime model. ICIP Pierre Tandeo, Ronan Fablet, Pierre Ailliot
2014	J	`jnl`	Segmentation of Mesoscale Ocean Surface Dynamics Using Satellite SST and SSH Observations. IEEE Trans. Geosci. Remote. Sens. Pierre Tandeo, Bertrand Chapron, Sileye O. Ba, Emmanuelle Autret, Ronan Fablet
2014	C	`conf`	Statistical emulation of high-resolution SAR wind fields from low-resolution model predictions. IGARSS Liyun He, Bertrand Chapron, Jean Tournadre, Ronan Fablet
2014	C	`conf`	Stochastic super-resolution of satellite-based Sea Surface Temperature using conditional SPDE models. IGARSS Brahim Boussidi, Ronan Fablet, Bertrand Chapron, Emmanuelle Autret
2013	J	`jnl`	Geodesics-Based Image Registration: Applications To Biological And Medical Images Depicting Concentric Ring Patterns. IEEE Trans. Image Process. Kamal Nasreddine, Abdessalam Benzinou, Ronan Fablet
2013	J	`jnl`	Protein Interaction Hotspot Identification Using Sequence-Based Frequency-Derived Features. IEEE Trans. Biomed. Eng. Quang-Thang Nguyen, Ronan Fablet, Dominique Pastor
2013	Misc	`conf`	Random walk models for geometry-driven image super-resolution. ICASSP Ronan Fablet, Brahim Boussidi, Emmanuelle Autret, Bertrand Chapron
2013	B	`conf`	Spatio-temporal segmentation and estimation of ocean surface currents from satellite sea surface temperature fields. ICIP Pierre Tandeo, Sileye O. Ba, Ronan Fablet, Bertrand Chapron, Emmanuelle Autret
2012	—	`book`	Des otolithes aux satellites : méthodes et applications du traitement du signal et des images pour l'observation de l'océan. Ronan Fablet
2012	J	`jnl`	Interpolation par assimilation variationnelle de séquences multimodales d'images satellitaires de l'océan. Traitement du Signal Silèye O. Ba, Thomas Corpetti, Bertrand Chapron, Ronan Fablet
2012	J	`jnl`	Keypoint-Based Analysis of Sonar Images: Application to Seabed Recognition. IEEE Trans. Geosci. Remote. Sens. Huu-Giao Nguyen, Ronan Fablet, Axel Ehrhold, Jean-Marc Boucher
2012	C	`conf`	Multi-resolution data assimilation for missing data interpolation in geophysical sequences. IGARSS Sileye O. Ba, Bertrand Chapron, Ronan Fablet
2012	J	`jnl`	Spatial Statistics of Objects in 3-D Sonar Images: Application to Fisheries Acoustics. IEEE Geosci. Remote. Sens. Lett. Riwal Lefort, Ronan Fablet, Laurent Berger, Jean-Marc Boucher
2012	J	`jnl`	Statistical Descriptors of Ocean Regimes From the Geometric Regularity of SST Observations. IEEE Geosci. Remote. Sens. Lett. Sileye O. Ba, Emmanuelle Autret, Bertrand Chapron, Ronan Fablet
2011	—	`ch.`	Classification faiblement supervisée : arbre de décision probabiliste et apprentissage itératif. Fouille de données complexes Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
2011	Misc	`conf`	Log-gaussian cox processes of visual keypoints for sonar texture recognition. ICASSP Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher
2011	B	`conf`	Multi-resolution missing data interpolation in SST image series. ICIP Sileye O. Ba, Thomas Corpetti, Ronan Fablet
2011	B	`conf`	Multivariate log-Gaussian Cox models of elementary shapes for recognizing natural scene categories. ICIP Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher
2011	J	`jnl`	Object recognition using proportion-based prior information: Application to fisheries acoustics. Pattern Recognit. Lett. Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
2011	—	`conf`	Prévision de trajectoires de cyclones à l'aide de forêts aléatoires avec arbres de régression. EGC Sterenn Liberge, Sileye O. Ba, Philippe Lenca, Ronan Fablet
2011	A*	`conf`	Visual textures as realizations of multivariate log-Gaussian Cox processes. CVPR Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher
2010	C	`conf`	Descriptors for sea surface temperature front regularity characterization. IGARSS Sileye O. Ba, Ronan Fablet, Dominique Pastor, Bertrand Chapron
2010	Misc	`conf`	Invariant descriptors of sonar textures from spatial statistics of local features. ICASSP Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher
2010	—	`conf`	Spatial Statistics of Visual Keypoints for Texture Recognition. ECCV (4) Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher
2010	J	`jnl`	Variational Region-Based Segmentation Using Multiple Texture Statistics. IEEE Trans. Image Process. Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Jean-Marie Augustin
2010	C	`conf`	Variational data assimilation for missing data interpolation in SST images. IGARSS Sileye O. Ba, Thomas Corpetti, Bertrand Chapron, Ronan Fablet
2010	B	`conf`	Variational fronts tracking in sea surface temperature images. ICIP Sileye O. Ba, Ronan Fablet
2010	J	`jnl`	Variational shape matching for shape classification and retrieval. Pattern Recognit. Lett. Kamal Nasreddine, Abdessalam Benzinou, Ronan Fablet
2010	—	`conf`	Weakly Supervised Classification of Objects in Images Using Soft Random Forests. ECCV (4) Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
2010	Misc	`conf`	Weakly supervised learning with decision trees applied to fisheries acoustics. ICASSP Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
2009	B	`conf`	Combining image-level and object-level inference for weakly supervised object recognition. Application to fisheries acoustics. ICIP Riwal Lefort, Ronan Fablet, Imen Karoui, Jean-Marc Boucher
2009	J	`jnl`	Seabed Segmentation Using Optimized Statistics of Sonar Textures. IEEE Trans. Geosci. Remote. Sens. Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Jean-Marie Augustin
2009	B	`conf`	Shape geodesics for boundary-based object recognition and retrieval. ICIP Kamal Nasreddine, Abdessalam Benzinou, Ronan Fablet
2009	—	`conf`	Variational 1D signal registration and shape geodesics for shape classification: Application to marine biological archives. DPS Kamal Nasreddine, Abdesslam Benzinou, Vicenç Parisi Baradad, Ronan Fablet
2008	J	`jnl`	2D Image-based reconstruction of shape deformation of biological structures using a level-set representation. Comput. Vis. Image Underst. Ronan Fablet, Sylvain Pujolle, Anatole Chessel, Abdessalam Benzinou, Frédéric Cao
2008	J	`jnl`	Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation. Pattern Anal. Appl. Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Wojciech Pieczynski, Jean-Marie Augustin
2008	—	`conf`	Otolith Image Analysis by Computer Vision. BIOSIGNALS (2) Anatole Chessel, Ronan Fablet, Charles Kervrann, Frédéric Cao
2008	B	`conf`	Weakly supervised learning using proportion-based information: An application to fisheries acoustics. ICPR Ronan Fablet, Riwal Lefort, Carla Scalarin, Jacques Masse, Paul Cauchy, Jean-Marc Boucher
2006	J	`jnl`	Automatic morphological detection of otolith nucleus. Pattern Recognit. Lett. Frédéric Cao, Ronan Fablet
2006	—	`conf`	Interpolating Orientation Fields: An Axiomatic Approach. ECCV (4) Anatole Chessel, Frédéric Cao, Ronan Fablet
2006	B	`conf`	Orientation Interpolation and Applications. ICIP Anatole Chessel, Ronan Fablet, Frédéric Cao, Charles Kervrann
2006	—	`conf`	Region-Based Image Segmentation Using Texture Statistics And Level-Set Methods. ICASSP (2) Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Jean-Marie Augustin
2006	—	`conf`	Unsupervised Calibrated Sonar Imaging for Seabed Observation Using Hidden Markov Random Fields. ICASSP (2) Ronan Fablet, Jean-Marie Augustin
2006	B	`conf`	Variational Level-Set Reconstruction of Accretionary Morphogenesis from Images. ICIP Ronan Fablet, Sylvain Pujolle, Anatole Chessel, Abdessalam Benzinou, Frédéric Cao
2005	—	`conf`	Extraction and interpretation of ring structures in images of biological hard tissues: application to fish age and growth estimation. ICIP (2) Ronan Fablet
2005	—	`conf`	Variational multi-wavelet restoration of noisy images. ICIP (3) Ronan Fablet, Jean-Marie Augustin
2004	—	`conf`	Automatic Fish Age Estimation from Otolith Images using Statistical Learning. ICPR (4) Ronan Fablet, Nicolas Le Josse, Abdessalam Benzinou
2004	—	`conf`	Automatic Morphological Detection of Otolith Nucleus. ICPR (3) Frédéric Cao, Ronan Fablet
2004	B	`conf`	Multiscale segmentation of textured sonar images using cooccuplrence statistics. ICIP Imen Karoui, Jean-Marc Boucher, Ronan Fablet, Jean-Marie Augustin
2004	—	`conf`	The Dense Estimation of Motion and Appearance in Layers. CVPR Workshops Hulya Yalcin, Michael J. Black, Ronan Fablet
2003	J	`jnl`	Motion Recognition Using Nonparametric Image Motion Models Estimated from Temporal and Multiscale Cooccurrence Statistics. IEEE Trans. Pattern Anal. Mach. Intell. Ronan Fablet, Patrick Bouthemy
2003	—	`conf`	Robust statistical registration of 3D ultrasound images using texture information. ICIP (1) François Rousseau, Ronan Fablet, Christian Barillot
2003	—	`conf`	Robust time-frequency model estimation in otolith images for fish age and growth analysis. ICIP (3) Ronan Fablet, Abdessalam Benzinou, Christian Doncarli
2002	—	`conf`	Automatic Detection and Tracking of Human Motion with a View-Based Representation. ECCV (1) Ronan Fablet, Michael J. Black
2002	J	`jnl`	Nonparametric motion characterization using causal probabilistic models for video indexing and retrieval. IEEE Trans. Image Process. Ronan Fablet, Patrick Bouthemy, Patrick Pérez
2001	—	`conf`	MRF-based moving object detection from MPEG coded video. ICIP (3) Abdeljabar Benzougar, Patrick Bouthemy, Ronan Fablet
2001	—	`conf`	Motion recognition using spatio-temporal random walks in sequence of 2D motion-related measurements. ICIP (3) Ronan Fablet, Patrick Bouthemy
2001	—	`conf`	Non parametric motion recognition using temporal multiscale Gibbs models. CVPR (1) Ronan Fablet, Patrick Bouthemy
2001	J	`jnl`	Non-Parametric Motion Activity Analysis for Statistical Retrieval with Partial Query. J. Math. Imaging Vis. Ronan Fablet, Patrick Bouthemy
2000	B	`conf`	Statistical Motion-Based Object Indexing Using Optic Flow Field. ICPR Ronan Fablet, Patrick Bouthemy
2000	—	`conf`	Statistical Motion-Based Retrieval with Partial Query. VISUAL Ronan Fablet, Patrick Bouthemy
2000	—	`conf`	Statistical motion-based video indexing and retrieval. RIAO Ronan Fablet, Patrick Bouthemy, Patrick Pérez
1999	—	`conf`	Motion-Based Feature Extraction and Ascendant Hierarchical Classification for Video Indexing and Retrieval. VISUAL Ronan Fablet, Patrick Bouthemy
1999	—	`conf`	Moving Object Detection in Color Image Sequences Using Region-Level Graph Labeling. ICIP (2) Ronan Fablet, Patrick Bouthemy, Marc Gelgon
1999	—	`conf`	New descriptors for image and video indexing. State-of-the-Art in Content-Based Image and Video Retrieval Patrick Gros, Ronan Fablet, Patrick Bouthemy
1998	B	`conf`	Motion characterization from temporal cooccurrences of local motion-based measures for video indexing. ICPR Patrick Bouthemy, Ronan Fablet