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2020 – today
- 2024
[j56]Duong Nguyen
, Ronan Fablet:
A Transformer Network With Sparse Augmented Data Representation and Cross Entropy Loss for AIS-Based Vessel Trajectory Prediction. IEEE Access 12: 21596-21609 (2024)- [j55]Aurélien Colin, Pierre Tandeo, Charles Peureux, Romain Husson, Nicolas Longépé, Ronan Fablet:
Rain Regime Segmentation of Sentinel-1 Observation Learning From NEXRAD Collocations With Convolution Neural Networks. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j54]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) - [c99]Perrine Bauchot, Angélique Drémeau, Florian Sévellec, Ronan Fablet:
Impact of Sampling Strategies on the Monitoring of Climate Regime Shifts with a Learning Data Assimilation Method. ICASSP 2024: 7555-7559 - [c98]Said Ouala, Laurent Debreu, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Neural Ordinary Differential Equations with Trainable Solvers. ICASSP 2024: 7675-7679 - [c97]S. P. Tripathi, Bertrand Chapron, Fabrice Collard, Gilles Guitton, Manuel Lopez-Radcenco, Alexis Mouche, Ronan Fablet:
Deep Learning Inversion of Ocean Wave Spectrum from SAR Satellite Observations. ICASSP 2024: 8711-8715 - [c96]Clément Dorffer, Thi Thuy Nga Nguyen, Ronan Fablet, Frédéric Jourdin:
Adaptive Spatial and Multi-Variable Generalization of 4dvarnet in Ocean Colour Remote Sensing. IGARSS 2024: 7016-7019 - [i43]Maxime Beauchamp, Nicolas Desassis, J. Emmanuel Johnson, Simon Benaïchouche, Pierre Tandeo, Ronan Fablet:
SPDE priors for uncertainty quantification of end-to-end neural data assimilation schemes. CoRR abs/2402.01855 (2024) - [i42]Matthieu Blanke, Ronan Fablet, Marc Lelarge:
Neural Incremental Data Assimilation. CoRR abs/2406.15076 (2024) - 2023
- [j53]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:
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 10(6): 1361-1387 (2023) - [j52]Dorian Cazau, Paul Nguyen Hong Duc, J.-N. Druon, S. Matwins, Ronan Fablet:
Multimodal deep learning for cetacean distribution modeling of fin whales (Balaenoptera physalus) in the western Mediterranean Sea. Mach. Learn. 112(6): 2003-2024 (2023) - [j51]Said Ouala, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Extending the extended dynamic mode decomposition with latent observables: the latent EDMD framework. Mach. Learn. Sci. Technol. 4(2): 25018 (2023) - [j50]Aurélien Colin, Pierre Tandeo, Charles Peureux, Romain Husson, Ronan Fablet:
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. 16: 8586-8594 (2023) - [j49]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) - [c95]Daria Botvynko, Carlos Granero-Belinchón, Simon Van Gennip, Abdesslam Benzinou, Ronan Fablet:
Deep Learning for Lagrangian Drift Simulation at The Sea Surface. ICASSP 2023: 1-5 - [c94]Maxime Beauchamp, Quentin Febvre, Joseph Thompson, Hugo Georgenthum, Ronan Fablet:
Learning Neural Optimal Interpolation Models and Solvers. ICCS (4) 2023: 367-381 - [c93]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 - [c92]Jean-Marie Vient, Frédéric Jourdin, Ronan Fablet, Clément Dorffer, Christophe Delacourt:
AI Data-Driven Sediments Dynamics Short Term Forecast From Observation in the Bay of Biscay. IGARSS 2023: 5348-5350 - [c91]J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet:
OceanBench: The Sea Surface Height Edition. NeurIPS 2023 - [i41]Quentin Febvre, Clément Ubelmann, Julien Le Sommer, Ronan Fablet:
Scale-aware neural calibration for wide swath altimetry observations. CoRR abs/2302.04497 (2023) - [i40]Aurélien Colin, Pierre Tandeo, Charles Peureux, Romain Husson, Ronan Fablet:
Reduction of rain-induced errors for wind speed estimation on SAR observations using convolutional neural networks. CoRR abs/2303.09200 (2023) - [i39]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:
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR abs/2303.10462 (2023) - [i38]Nicolas Lafon, Philippe Naveau, Ronan Fablet:
A VAE Approach to Sample Multivariate Extremes. CoRR abs/2306.10987 (2023) - [i37]Quentin Febvre, Julien Le Sommer, Clément Ubelmann, Ronan Fablet:
Training neural mapping schemes for satellite altimetry with simulation data. CoRR abs/2309.14350 (2023) - [i36]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) - [i35]Gabriel Spadon, Jay Kumar, Matthew Smith, Sarah Vela, Romina Gehrmann, Derek Eden, Joshua van Berkel, Amílcar Soares, Ronan Fablet, Ronald Pelot, Stan Matwin:
Building a Safer Maritime Environment Through Multi-Path Long-Term Vessel Trajectory Forecasting. CoRR abs/2310.18948 (2023) - [i34]Hugo Frezat, Guillaume Balarac, Julien Le Sommer, Ronan Fablet:
Gradient-free online learning of subgrid-scale dynamics with neural emulators. CoRR abs/2310.19385 (2023) - [i33]Said Ouala, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Online Calibration of Deep Learning Sub-Models for Hybrid Numerical Modeling Systems. CoRR abs/2311.10665 (2023) - [i32]Matteo Zambra, Nicolas Farrugia, Dorian Cazau, Alexandre Gensse, Ronan Fablet:
Multi-Modal Learning-based Reconstruction of High-Resolution Spatial Wind Speed Fields. CoRR abs/2312.08933 (2023) - 2022
- [j48]Amédée Roy, Sophie Bertrand, Ronan Fablet:
Deep inference of seabird dives from GPS-only records: Performance and generalization properties. PLoS Comput. Biol. 18(3) (2022) - [j47]Aurélien Colin, Ronan Fablet, Pierre Tandeo, Romain Husson, Charles Peureux, Nicolas Longépé, Alexis Mouche:
Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning. Remote. Sens. 14(4): 851 (2022) - [j46]Jean-Marie Vient, Ronan Fablet, Frédéric Jourdin, Christophe Delacourt:
End-to-End Neural Interpolation of Satellite-Derived Sea Surface Suspended Sediment Concentrations. Remote. Sens. 14(16): 4024 (2022) - [j45]Elodie Martinez, Anouar Brini, Thomas Gorgues, Lucas Drumetz, Joana Roussillon, Pierre Tandeo, Guillaume Maze, Ronan Fablet:
Correction: Martinez et al. Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sens. 12, 2020, 4156. Remote. Sens. 14(22): 5669 (2022) - [j44]Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet:
GeoTrackNet - A Maritime Anomaly Detector Using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection. IEEE Trans. Intell. Transp. Syst. 23(6): 5655-5667 (2022) - [c90]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 - [c89]Aurélien Colin, Charles Peureux, Romain Husson, Ronan Fablet, Pierre Tandeo:
Segmentation of Rainfall Regimes by Machine Learning on a Colocalized Nexrad/Sentinel-1 Dataset. IGARSS 2022: 307-309 - [c88]Simon Benaïchouche, Clément Le Goff, Brahim Boussidi, François Rousseau, Ronan Fablet:
Learnable Variational Models for the Reconstruction of Sea Surface Currents Using Ais Data Streams: A Case Study on the Sicily Channel. IGARSS 2022: 6821-6824 - [d1]Etienne Pauthenet, Loïc Bachelot, Anne-Marie Tréguier, Kevin Balem, Guillaume Maze, Fabien Roquet, Ronan Fablet, Pierre Tandeo:
Gulf Stream Daily Temperature, Salinity and Mixed Layer Depth fields from Ocean Stratification network (OSnet). Zenodo, 2022
- [i31]Said Ouala, Steven L. Brunton, Ananda Pascual, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning. CoRR abs/2202.05750 (2022) - [i30]Ronan Fablet, Bertrand Chapron:
Multimodal learning-based inversion models for the space-time reconstruction of satellite-derived geophysical fields. CoRR abs/2203.10640 (2022) - [i29]Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat:
A posteriori learning for quasi-geostrophic turbulence parametrization. CoRR abs/2204.03911 (2022) - [i28]Aurélien Colin, Pierre Tandeo, Charles Peureux, Romain Husson, Nicolas Longépé, Ronan Fablet:
Rain Rate Estimation with SAR using NEXRAD measurements with Convolutional Neural Networks. CoRR abs/2207.07333 (2022) - [i27]Matteo Zambra, Dorian Cazau, Nicolas Farrugia, Alexandre Gensse, Sara Pensieri, Roberto Bozzano, Ronan Fablet:
Learning-based estimation of in-situ wind speed from underwater acoustics. CoRR abs/2208.08912 (2022) - [i26]Daria Botvynko, Carlos Granero-Belinchón, Simon Van Gennip, Abdesslam Benzinou, Ronan Fablet:
Deep learning for Lagrangian drift simulation at the sea surface. CoRR abs/2211.09818 (2022) - [i25]J. Emmanuel Johnson, Redouane Lguensat, Ronan Fablet, Emmanuel Cosme, Julien Le Sommer:
Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables. CoRR abs/2211.10444 (2022) - [i24]Ronan Fablet, Bertrand Chapron, Julien Le Sommer, Florian Sévellec:
Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets. CoRR abs/2211.13059 (2022) - 2021
- [j43]Ronan Fablet, Maxime Beauchamp, Lucas Drumetz, François Rousseau:
Joint Interpolation and Representation Learning for Irregularly Sampled Satellite-Derived Geophysical Fields. Frontiers Appl. Math. Stat. 7: 655224 (2021) - [j42]Simon Benaïchouche, Clément Le Goff, Yann Guichoux, François Rousseau, Ronan Fablet:
Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Trainable Variational Models. Remote. Sens. 13(16): 3162 (2021) - [j41]Jean-Marie Vient, Frédéric Jourdin, Ronan Fablet, Baptiste Mengual, Ludivine Lafosse, Christophe Delacourt:
Data-Driven Interpolation of Sea Surface Suspended Concentrations Derived from Ocean Colour Remote Sensing Data. Remote. Sens. 13(17): 3537 (2021) - [c87]Noura Dridi, Lucas Drumetz, Ronan Fablet:
Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme. EUSIPCO 2021: 1990-1994 - [c86]Ronan Fablet, Lucas Drumetz, François Rousseau:
End-to-End Learning of Variational Models and Solvers for the Resolution of Interpolation Problems. ICASSP 2021: 2360-2364 - [c85]Simon Benaïchouche, Clément Le Goff, Yann Guichoux, François Rousseau, Ronan Fablet:
Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Learnable Variational Models. ICASSP 2021: 4100-4104 - [c84]Jean-Marie Vient, Frédéric Jourdin, Ronan Fablet, Baptiste Mengual, Ludivine Lafosse, Christophe Delacourt:
Data-Driven Spatio-Temporal Interpolation of Sea Surface Sediment Concentration from Satellite-Derived Data: An OSSE Case-Study in the Bay of Biscay. IGARSS 2021: 2576-2579 - [c83]Aurélien Colin, Charles Peureux, Romain Husson, Nicolas Longépé, Régis Rauzy, Ronan Fablet, Pierre Tandeo, Samir Saoudi, Alexis Mouche, Gérald Dibarboure:
Segmentation of Sentinel-1 SAR Images Over the Ocean, Preliminary Methods and Assessments. IGARSS 2021: 4067-4070 - [c82]Said Ouala, Ronan Fablet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier:
End-to-End Kalman Filter for the Reconstruction of Sea Surface Dynamics from Satellite Data. IGARSS 2021: 7414-7417 - [c81]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 - [i23]Said Ouala, Laurent Debreu, Ananda Pascual, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Learning Runge-Kutta Integration Schemes for ODE Simulation and Identification. CoRR abs/2105.04999 (2021) - [i22]Noura Dridi, Lucas Drumetz, Ronan Fablet:
Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme. CoRR abs/2105.08449 (2021) - [i21]Duong Nguyen, Ronan Fablet:
TrAISformer-A generative transformer for AIS trajectory prediction. CoRR abs/2109.03958 (2021) - [i20]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) - [i19]Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat:
A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps. CoRR abs/2111.06841 (2021) - 2020
- [j40]Quentin Delannoy, Chi-Hieu Pham, Clément Cazorla, Carlos Tor-Díez, Guillaume Dollé, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
SegSRGAN: Super-resolution and segmentation using generative adversarial networks - Application to neonatal brain MRI. Comput. Biol. Medicine 120: 103755 (2020) - [j39]François Rousseau, Lucas Drumetz, Ronan Fablet:
Residual Networks as Flows of Diffeomorphisms. J. Math. Imaging Vis. 62(3): 365-375 (2020) - [j38]Maxime Beauchamp, Ronan Fablet, Clément Ubelmann, Maxime Ballarotta, Bertrand Chapron:
Intercomparison of Data-Driven and Learning-Based Interpolations of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations. Remote. Sens. 12(22): 3806 (2020) - [j37]Elodie Martinez, Anouar Brini, Thomas Gorgues, Lucas Drumetz, Joana Roussillon, Pierre Tandeo, Guillaume Maze, Ronan Fablet:
Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote. Sens. 12(24): 4156 (2020) - [c80]Maxime Beauchamp, Ronan Fablet, Clément Ubelmann, Maxime Ballarotta, Bertrand Chapron:
Data-driven and learning-based interpolations of along-track Nadir and wide-swath SWOT altimetry observations. CI 2020: 22-29 - [c79]Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Ronan Fablet:
Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation. ICASSP 2020: 2483-2487 - [c78]Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet:
Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data. ICASSP 2020: 3862-3866 - [c77]Said Ouala, Ronan Fablet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier:
Physically Informed Neural Networks for the Simulation and Data-Assimilation of Geophysical Dynamics. IGARSS 2020: 3490-3493 - [c76]Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula:
Filtering Internal Tides from Wide-Swath Altimeter Data Using Convolutional Neural Networks. IGARSS 2020: 3904-3907 - [c75]Duong Nguyen, Matthieu Simonin, Guillaume Hajduch, Rodolphe Vadaine, Cédric Tedeschi, Ronan Fablet:
Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean. MDM 2020: 264-268 - [i18]Olivier Pannekoucke, Ronan Fablet:
PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations. CoRR abs/2002.01029 (2020) - [i17]Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula:
Filtering Internal Tides From Wide-Swath Altimeter Data Using Convolutional Neural Networks. CoRR abs/2005.01090 (2020) - [i16]Ronan Fablet, Lucas Drumetz, François Rousseau:
Joint learning of variational representations and solvers for inverse problems with partially-observed data. CoRR abs/2006.03653 (2020) - [i15]Ronan Fablet, Bertrand Chapron, Lucas Drumetz, Étienne Mémin, Olivier Pannekoucke, François Rousseau:
Learning Variational Data Assimilation Models and Solvers. CoRR abs/2007.12941 (2020) - [i14]Duong Nguyen, Matthieu Simonin, Guillaume Hajduch, Rodolphe Vadaine, Cédric Tedeschi, Ronan Fablet:
Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean. CoRR abs/2008.05443 (2020) - [i13]Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet:
Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations. CoRR abs/2009.02296 (2020) - [i12]Hugo Frezat, Guillaume Balarac, Julien Le Sommer, Ronan Fablet, Redouane Lguensat:
Physical invariance in neural networks for subgrid-scale scalar flux modeling. CoRR abs/2010.04663 (2020)
2010 – 2019
- 2019
- [j36]Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
Multiscale brain MRI super-resolution using deep 3D convolutional networks. Comput. Medical Imaging Graph. 77 (2019) - [j35]Redouane Lguensat, Phi Huynh Viet, Miao Sun, Ge Chen, Fenglin Tian, Bertrand Chapron, Ronan Fablet:
Data-Driven Interpolation of Sea Level Anomalies Using Analog Data Assimilation. Remote. Sens. 11(7): 858 (2019) - [j34]Clément Dechesne, Sébastien Lefèvre, Rodolphe Vadaine, Guillaume Hajduch, Ronan Fablet:
Ship Identification and Characterization in Sentinel-1 SAR Images with Multi-Task Deep Learning. Remote. Sens. 11(24): 2997 (2019) - [j33]Antoine d'Acremont, Ronan Fablet, Alexandre Baussard, Guillaume Quin:
CNN-Based Target Recognition and Identification for Infrared Imaging in Defense Systems. Sensors 19(9): 2040 (2019) - [j32]Manuel Lopez-Radcenco, Ananda Pascual, Laura Gómez-Navarro, Abdeldjalil Aïssa-El-Bey, Bertrand Chapron, Ronan Fablet:
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. 12(7): 2530-2540 (2019) - [c74]Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin:
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection. ICASSP 2019: 765-769 - [c73]Said Ouala, Ananda Pascual, Ronan Fablet:
Residual Integration Neural Network. ICASSP 2019: 3622-3626 - [c72]Said Ouala, Ronan Fablet, Cédric Herzet, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier:
Learning Stochastic Representations of Geophysical Dynamics. ICASSP 2019: 3877-3881 - [c71]Ronan Fablet, Julien Le Sommer, Jean-Marc Molines, Lucas Drumetz, François Rousseau, Bertrand Chapron:
Learning Differential Transport Operators for the Joint Super-Resolution of Sea Surface Tracers and Prediction of Subgrid-Scale Features. IGARSS 2019: 7916-7919 - [c70]Said Ouala, Duong Nguyen, Cédric Herzet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Learning Ocean Dynamical Priors from Noisy Data Using Assimilation-Derived Neural Nets. IGARSS 2019: 9451-9454 - [c69]Said Ouala, Ronan Fablet, Cédric Herzet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier:
Sea Surface Dynamics Reconstruction Using Neural Networks Based Kalman Filter. IGARSS 2019: 10059-10062 - [c68]Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
Simultaneous Super-Resolution and Segmentation Using a Generative Adversarial Network: Application to Neonatal Brain MRI. ISBI 2019: 991-994 - [i11]Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin:
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection. CoRR abs/1902.04980 (2019) - [i10]Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet:
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations. CoRR abs/1903.10335 (2019) - [i9]Said Ouala, Duong Nguyen, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Learning Latent Dynamics for Partially-Observed Chaotic Systems. CoRR abs/1907.02452 (2019) - [i8]Ronan Fablet, Lucas Drumetz, François Rousseau:
End-to-end learning of energy-based representations for irregularly-sampled signals and images. CoRR abs/1910.00556 (2019) - [i7]Redouane Lguensat, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Ronan Fablet:
Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models. CoRR abs/1911.08856 (2019) - [i6]Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet:
GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection. CoRR abs/1912.00682 (2019) - 2018
- [j31]Ronan Fablet, Phi Huynh Viet, Redouane Lguensat, Pierre-Henri Horrein, Bertrand Chapron:
Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation. Remote. Sens. 10(2): 310 (2018) - [j30]Laura Gómez-Navarro, Ronan Fablet, Evan Mason, Ananda Pascual, Baptiste Mourre, Emmanuel Cosme, Julien Le Sommer:
SWOT Spatial Scales in the Western Mediterranean Sea Derived from Pseudo-Observations and an Ad Hoc Filtering. Remote. Sens. 10(4): 599 (2018) - [j29]Said Ouala, Ronan Fablet, Cédric Herzet, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier:
Neural Network Based Kalman Filters for the Spatio-Temporal Interpolation of Satellite-Derived Sea Surface Temperature. Remote. Sens. 10(12): 1864 (2018) - [j28]Ronan Fablet, Jacques Verron, Baptiste Mourre, Bertrand Chapron, Ananda Pascual:
Improving Mesoscale Altimetric Data From a Multitracer Convolutional Processing of Standard Satellite-Derived Products. IEEE Trans. Geosci. Remote. Sens. 56(5): 2518-2525 (2018) - [c67]Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet:
A Multi-Task Deep Learning Architecture for Maritime Surveillance Using AIS Data Streams. DSAA 2018: 331-340 - [c66]Ronan Fablet, Said Ouala, Cédric Herzet:
Bilinear Residual Neural Network for the Identification and Forecasting of Geophysical Dynamics. EUSIPCO 2018: 1477-1481 - [c65]Guillaume Beaumont, Ronan Fablet, Angélique Drémeau:
An Approximate Message Passing Approach for DOA Estimation in Phase Noisy Environments. LVA/ICA 2018: 385-394 - [c64]Redouane Lguensat, Miao Sun, Ronan Fablet, Pierre Tandeo, Evan Mason, Ge Chen:
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies. IGARSS 2018: 1764-1767 - [c63]Said Ouala, Cédric Herzet, Ronan Fablet:
Sea Surface Temperature Prediction and Reconstruction Using Patch-Level Neural Network Representations. IGARSS 2018: 5628-5631 - [c62]Manuel Lopez-Radcenco, Ananda Pascual, Laura Gómez-Navarro, Abdeldjalil Aïssa-El-Bey, Ronan Fablet:
Analog Data Assimilation for Along-Track Nadir and Swot Altimetry Data in the Western Mediterranean Sea. IGARSS 2018: 7684-7687 - [i5]François Rousseau, Ronan Fablet:
Residual Networks as Geodesic Flows of Diffeomorphisms. CoRR abs/1805.09585 (2018) - [i4]Said Ouala, Cédric Herzet, Ronan Fablet:
Sea surface temperature prediction and reconstruction using patch-level neural network representations. CoRR abs/1806.00144 (2018) - [i3]Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet:
Multi-task Learning for Maritime Traffic Surveillance from AIS Data Streams. CoRR abs/1806.03972 (2018) - 2017
- [j27]Ronan Fablet, Phi Huynh Viet, Redouane Lguensat:
Data-Driven Models for the Spatio-Temporal Interpolation of Satellite-Derived SST Fields. IEEE Trans. Computational Imaging 3(4): 647-657 (2017) - [c61]Manuel Lopez-Radcenco, Abdeldjalil Aïssa-El-Bey, Pierre Ailliot, Ronan Fablet:
Non-negative decomposition of geophysical dynamics. ESANN 2017 - [c60]Ronan Fablet, Phi Huynh Viet, Redouane Lguensat, Bertrand Chapron:
Data-driven assimilation of irregularly-sampled image time series. ICIP 2017: 4302-4306 - [c59]Manuel Lopez-Radcenco, Ronan Fablet, Abdeldjalil Aïssa-El-Bey, Pierre Ailliot:
Locally-adapted convolution-based super-resolution of irregularly-sampled ocean remote sensing data. ICIP 2017: 4307-4311 - [c58]Ronan Fablet, Manuel Lopez-Radcenco, Jacques Verron, Baptiste Mourre, Bertrand Chapron, Ananda Pascual:
Learning multi-tracer convolutional models for the reconstruction of high-resolution SSH fields. IGARSS 2017: 406-409 - [c57]Redouane Lguensat, Miao Sun, Ge Chen, Fenglin Tian, Ronan Fablet:
Spatio-temporal interpolation of altimeter-derived SSH fields using analog data assimilation: A case-study in the south china sea. IGARSS 2017: 2979-2982 - [c56]Chi-Hieu Pham, Aurélien Ducournau, Ronan Fablet, François Rousseau:
Brain MRI super-resolution using deep 3D convolutional networks. ISBI 2017: 197-200 - [i2]Redouane Lguensat, Miao Sun, Ronan Fablet, Evan Mason, Pierre Tandeo, Ge Chen:
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies. CoRR abs/1711.03954 (2017) - [i1]Ronan Fablet, Said Ouala, Cédric Herzet:
Bilinear residual Neural Network for the identification and forecasting of dynamical systems. CoRR abs/1712.07003 (2017) - 2016
- [j26]Xuan Wang, Pierre Tandeo, Ronan Fablet, Romain Husson, Lei Guan, Ge Chen:
Validation and Parameter Sensitivity Tests for Reconstructing Swell Field Based on an Ensemble Kalman Filter. Sensors 16(12): 2000 (2016) - [j25]Ronan Fablet, François Rousseau:
Joint Interpolation of Multisensor Sea Surface Temperature Fields Using Nonlocal and Statistical Priors. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(6): 2665-2675 (2016) - [j24]Xiaofeng Li, Ronan Fablet:
Foreword to the Special Issue on the Remote Sensing of the World Oceans. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(11): 4895-4897 (2016) - [j23]Budhi Gunadharma Gautama, Nicolas Longépé, Ronan Fablet, Grégoire Mercier:
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. 9(11): 4962-4969 (2016) - [j22]Clément Le Goff, Ronan Fablet, Pierre Tandeo, Emmanuelle Autret, Bertrand Chapron:
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. 9(11): 5106-5112 (2016) - [c55]Redouane Lguensat, Ronan Fablet, Pierre Ailliot, Pierre Tandeo:
An exemplar-based hidden Markov model framework for nonlinear state-space models. EUSIPCO 2016: 2340-2344 - [c54]Manuel Lopez-Radcenco, Abdeldjalil Aïssa-El-Bey, Pierre Ailliot, Pierre Tandeo, Ronan Fablet:
Non-negative decomposition of linear relationships: Application to multi-source ocean remote sensing data. ICASSP 2016: 4179-4183 - [c53]Luis Tobias, Aurélien Ducournau, François Rousseau, Grégoire Mercier, Ronan Fablet:
Convolutional Neural Networks for object recognition on mobile devices: A case study. ICPR 2016: 3530-3535 - [c52]Mireille El Gheche, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle, Ronan Fablet:
Texture synthesis guided by a low-resolution image. IVMSP 2016: 1-5 - 2015
- [j21]Bertrand Saulquin, Ronan Fablet, Pierre Ailliot, Grégoire Mercier, David Doxaran, Antoine Mangin, Odile Fanton d'Andon:
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. 8(1): 406-417 (2015) - [j20]Liyun He, Ronan Fablet, Bertrand Chapron, Jean Tournadre:
Learning-Based Emulation of Sea Surface Wind Fields From Numerical Model Outputs and SAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(10): 4742-4750 (2015) - [c51]Ronan Fablet, François Rousseau:
Missing data super-resolution using non-local and statistical priors. ICIP 2015: 676-680 - [c50]Bertrand Saulquin, Ronan Fablet, Ludovic Bourg, Grégoire Mercier, Odile Fanton d'Andon:
Non-homogeneous priors in a Bayesian latent class model for ocean color inversion. ICIP 2015: 3680-3684 - [c49]Redouane Lguensat, Pierre Tandeo, Ronan Fablet, Pierre Ailliot:
Non-parametric Ensemble Kalman methods for the inpainting of noisy dynamic textures. ICIP 2015: 4288-4292 - 2014
- [j19]Bertrand Saulquin, Ronan Fablet, Grégoire Mercier, Hervé Demarcq, Antoine Mangin, Odile Fanton d'Andon:
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. 7(8): 3543-3552 (2014) - [j18]Ronan Fablet, Alexis Chaigneau, Sophie Bertrand:
Multiscale Analysis of Geometric Planar Deformations: Application to Wild Animal Electronic Tracking and Satellite Ocean Observation Data. IEEE Trans. Geosci. Remote. Sens. 52(6): 3627-3636 (2014) - [j17]Pierre Tandeo, Bertrand Chapron, Sileye O. Ba, Emmanuelle Autret, Ronan Fablet:
Segmentation of Mesoscale Ocean Surface Dynamics Using Satellite SST and SSH Observations. IEEE Trans. Geosci. Remote. Sens. 52(7): 4227-4235 (2014) - [c48]Pierre Tandeo, Ronan Fablet, Pierre Ailliot:
Ocean surface current retrieval using a non homogeneous Markov-switching multi-regime model. ICIP 2014: 2968-2972 - [c47]Brahim Boussidi, Ronan Fablet, Bertrand Chapron, Emmanuelle Autret:
Stochastic super-resolution of satellite-based Sea Surface Temperature using conditional SPDE models. IGARSS 2014: 3077-3080 - [c46]Liyun He, Bertrand Chapron, Jean Tournadre, Ronan Fablet:
Statistical emulation of high-resolution SAR wind fields from low-resolution model predictions. IGARSS 2014: 3914-3917 - [c45]Pierre Tandeo, Ronan Fablet, Pierre Ailliot:
Hidden surface dynamical modes and SSH retrievals from a joint analysis of altimetry and microwave SST. IGARSS 2014: 5123-5125 - 2013
- [j16]Quang-Thang Nguyen, Ronan Fablet, Dominique Pastor:
Protein Interaction Hotspot Identification Using Sequence-Based Frequency-Derived Features. IEEE Trans. Biomed. Eng. 60(11): 2993-3002 (2013) - [j15]Kamal Nasreddine, Abdessalam Benzinou, Ronan Fablet:
Geodesics-Based Image Registration: Applications To Biological And Medical Images Depicting Concentric Ring Patterns. IEEE Trans. Image Process. 22(11): 4436-4446 (2013) - [c44]Ronan Fablet, Brahim Boussidi, Emmanuelle Autret, Bertrand Chapron:
Random walk models for geometry-driven image super-resolution. ICASSP 2013: 2207-2211 - [c43]Pierre Tandeo, Sileye O. Ba, Ronan Fablet, Bertrand Chapron, Emmanuelle Autret:
Spatio-temporal segmentation and estimation of ocean surface currents from satellite sea surface temperature fields. ICIP 2013: 2344-2348 - 2012
- [b1]Ronan Fablet:
Des otolithes aux satellites : méthodes et applications du traitement du signal et des images pour l'observation de l'océan. University of Western Brittany, Brest, France, 2012 - [j14]Riwal Lefort, Ronan Fablet, Laurent Berger, Jean-Marc Boucher:
Spatial Statistics of Objects in 3-D Sonar Images: Application to Fisheries Acoustics. IEEE Geosci. Remote. Sens. Lett. 9(1): 56-59 (2012) - [j13]Sileye O. Ba, Emmanuelle Autret, Bertrand Chapron, Ronan Fablet:
Statistical Descriptors of Ocean Regimes From the Geometric Regularity of SST Observations. IEEE Geosci. Remote. Sens. Lett. 9(5): 851-855 (2012) - [j12]Silèye O. Ba, Thomas Corpetti, Bertrand Chapron, Ronan Fablet:
Interpolation par assimilation variationnelle de séquences multimodales d'images satellitaires de l'océan. Traitement du Signal 29(3-5): 433-454 (2012) - [j11]Huu-Giao Nguyen, Ronan Fablet, Axel Ehrhold, Jean-Marc Boucher:
Keypoint-Based Analysis of Sonar Images: Application to Seabed Recognition. IEEE Trans. Geosci. Remote. Sens. 50(4): 1171-1184 (2012) - [c42]Sileye O. Ba, Bertrand Chapron, Ronan Fablet:
Multi-resolution data assimilation for missing data interpolation in geophysical sequences. IGARSS 2012: 1010-1013 - 2011
- [j10]Riwal Lefort, Ronan Fablet, Jean-Marc Boucher:
Object recognition using proportion-based prior information: Application to fisheries acoustics. Pattern Recognit. Lett. 32(2): 153-158 (2011) - [c41]Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher:
Visual textures as realizations of multivariate log-Gaussian Cox processes. CVPR 2011: 2945-2952 - [c40]Sterenn Liberge, Sileye O. Ba, Philippe Lenca, Ronan Fablet:
Prévision de trajectoires de cyclones à l'aide de forêts aléatoires avec arbres de régression. EGC 2011: 623-634 - [c39]Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher:
Log-gaussian cox processes of visual keypoints for sonar texture recognition. ICASSP 2011: 1005-1008 - [c38]Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher:
Multivariate log-Gaussian Cox models of elementary shapes for recognizing natural scene categories. ICIP 2011: 665-668 - [c37]Sileye O. Ba, Thomas Corpetti, Ronan Fablet:
Multi-resolution missing data interpolation in SST image series. ICIP 2011: 1517-1520 - [p1]Riwal Lefort, Ronan Fablet, Jean-Marc Boucher:
Classification faiblement supervisée : arbre de décision probabiliste et apprentissage itératif. Fouille de données complexes 2011: 171-192 - 2010
- [j9]Kamal Nasreddine, Abdessalam Benzinou, Ronan Fablet:
Variational shape matching for shape classification and retrieval. Pattern Recognit. Lett. 31(12): 1650-1657 (2010) - [j8]Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Jean-Marie Augustin:
Variational Region-Based Segmentation Using Multiple Texture Statistics. IEEE Trans. Image Process. 19(12): 3146-3156 (2010) - [c36]Riwal Lefort, Ronan Fablet, Jean-Marc Boucher:
Weakly Supervised Classification of Objects in Images Using Soft Random Forests. ECCV (4) 2010: 185-198 - [c35]Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher:
Spatial Statistics of Visual Keypoints for Texture Recognition. ECCV (4) 2010: 764-777 - [c34]Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher:
Invariant descriptors of sonar textures from spatial statistics of local features. ICASSP 2010: 1674-1677 - [c33]Riwal Lefort, Ronan Fablet, Jean-Marc Boucher:
Weakly supervised learning with decision trees applied to fisheries acoustics. ICASSP 2010: 2254-2257 - [c32]Sileye O. Ba, Ronan Fablet:
Variational fronts tracking in sea surface temperature images. ICIP 2010: 4117-4120 - [c31]Sileye O. Ba, Thomas Corpetti, Bertrand Chapron, Ronan Fablet:
Variational data assimilation for missing data interpolation in SST images. IGARSS 2010: 264-267 - [c30]Sileye O. Ba, Ronan Fablet, Dominique Pastor, Bertrand Chapron:
Descriptors for sea surface temperature front regularity characterization. IGARSS 2010: 669-672
2000 – 2009
- 2009
- [j7]Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Jean-Marie Augustin:
Seabed Segmentation Using Optimized Statistics of Sonar Textures. IEEE Trans. Geosci. Remote. Sens. 47(6): 1621-1631 (2009) - [c29]Kamal Nasreddine, Abdesslam Benzinou, Vicenç Parisi Baradad, Ronan Fablet:
Variational 1D signal registration and shape geodesics for shape classification: Application to marine biological archives. DPS 2009: 1-6 - [c28]Riwal Lefort, Ronan Fablet, Imen Karoui, Jean-Marc Boucher:
Combining image-level and object-level inference for weakly supervised object recognition. Application to fisheries acoustics. ICIP 2009: 293-296 - [c27]Kamal Nasreddine, Abdessalam Benzinou, Ronan Fablet:
Shape geodesics for boundary-based object recognition and retrieval. ICIP 2009: 405-408 - 2008
- [j6]Ronan Fablet, Sylvain Pujolle, Anatole Chessel, Abdessalam Benzinou, Frédéric Cao:
2D Image-based reconstruction of shape deformation of biological structures using a level-set representation. Comput. Vis. Image Underst. 111(3): 295-306 (2008) - [j5]Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Wojciech Pieczynski, Jean-Marie Augustin:
Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation. Pattern Anal. Appl. 11(3-4): 425-434 (2008) - [c26]Anatole Chessel, Ronan Fablet, Charles Kervrann, Frédéric Cao:
Otolith Image Analysis by Computer Vision. BIOSIGNALS (2) 2008: 490-497 - [c25]Ronan Fablet, Riwal Lefort, Carla Scalarin, Jacques Masse, Paul Cauchy, Jean-Marc Boucher:
Weakly supervised learning using proportion-based information: An application to fisheries acoustics. ICPR 2008: 1-4 - 2006
- [j4]Frédéric Cao, Ronan Fablet:
Automatic morphological detection of otolith nucleus. Pattern Recognit. Lett. 27(6): 658-666 (2006) - [c24]Anatole Chessel, Frédéric Cao, Ronan Fablet:
Interpolating Orientation Fields: An Axiomatic Approach. ECCV (4) 2006: 241-254 - [c23]Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Jean-Marie Augustin:
Region-Based Image Segmentation Using Texture Statistics And Level-Set Methods. ICASSP (2) 2006: 693-696 - [c22]Ronan Fablet, Jean-Marie Augustin:
Unsupervised Calibrated Sonar Imaging for Seabed Observation Using Hidden Markov Random Fields. ICASSP (2) 2006: 817-820 - [c21]Ronan Fablet, Sylvain Pujolle, Anatole Chessel, Abdessalam Benzinou, Frédéric Cao:
Variational Level-Set Reconstruction of Accretionary Morphogenesis from Images. ICIP 2006: 221-224 - [c20]Anatole Chessel, Ronan Fablet, Frédéric Cao, Charles Kervrann:
Orientation Interpolation and Applications. ICIP 2006: 1561-1564 - 2005
- [c19]Ronan Fablet, Jean-Marie Augustin:
Variational multi-wavelet restoration of noisy images. ICIP (3) 2005: 305-308 - [c18]Ronan Fablet:
Extraction and interpretation of ring structures in images of biological hard tissues: application to fish age and growth estimation. ICIP (2) 2005: 830-833 - 2004
- [c17]Hulya Yalcin, Michael J. Black, Ronan Fablet:
The Dense Estimation of Motion and Appearance in Layers. CVPR Workshops 2004: 165 - [c16]Imen Karoui, Jean-Marc Boucher, Ronan Fablet, Jean-Marie Augustin:
Multiscale segmentation of textured sonar images using cooccuplrence statistics. ICIP 2004: 1691-1694 - [c15]Ronan Fablet, Nicolas Le Josse, Abdessalam Benzinou:
Automatic Fish Age Estimation from Otolith Images using Statistical Learning. ICPR (4) 2004: 503-506 - [c14]Frédéric Cao, Ronan Fablet:
Automatic Morphological Detection of Otolith Nucleus. ICPR (3) 2004: 606-609 - 2003
- [j3]Ronan Fablet, Patrick Bouthemy:
Motion Recognition Using Nonparametric Image Motion Models Estimated from Temporal and Multiscale Cooccurrence Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 25(12): 1619-1624 (2003) - [c13]François Rousseau, Ronan Fablet, Christian Barillot:
Robust statistical registration of 3D ultrasound images using texture information. ICIP (1) 2003: 581-584 - [c12]Ronan Fablet, Abdessalam Benzinou, Christian Doncarli:
Robust time-frequency model estimation in otolith images for fish age and growth analysis. ICIP (3) 2003: 593-596 - 2002
- [j2]Ronan Fablet, Patrick Bouthemy, Patrick Pérez:
Nonparametric motion characterization using causal probabilistic models for video indexing and retrieval. IEEE Trans. Image Process. 11(4): 393-407 (2002) - [c11]Ronan Fablet, Michael J. Black:
Automatic Detection and Tracking of Human Motion with a View-Based Representation. ECCV (1) 2002: 476-491 - 2001
- [j1]Ronan Fablet, Patrick Bouthemy:
Non-Parametric Motion Activity Analysis for Statistical Retrieval with Partial Query. J. Math. Imaging Vis. 14(3): 257-270 (2001) - [c10]Ronan Fablet, Patrick Bouthemy:
Non parametric motion recognition using temporal multiscale Gibbs models. CVPR (1) 2001: 501- - [c9]Abdeljabar Benzougar, Patrick Bouthemy, Ronan Fablet:
MRF-based moving object detection from MPEG coded video. ICIP (3) 2001: 402-405 - [c8]Ronan Fablet, Patrick Bouthemy:
Motion recognition using spatio-temporal random walks in sequence of 2D motion-related measurements. ICIP (3) 2001: 652-655 - 2000
- [c7]Ronan Fablet, Patrick Bouthemy:
Statistical Motion-Based Object Indexing Using Optic Flow Field. ICPR 2000: 4287-4290 - [c6]Ronan Fablet, Patrick Bouthemy, Patrick Pérez:
Statistical motion-based video indexing and retrieval. RIAO 2000: 602-619 - [c5]Ronan Fablet, Patrick Bouthemy:
Statistical Motion-Based Retrieval with Partial Query. VISUAL 2000: 96-107
1990 – 1999
- 1999
- [c4]Patrick Gros, Ronan Fablet, Patrick Bouthemy:
New descriptors for image and video indexing. State-of-the-Art in Content-Based Image and Video Retrieval 1999: 213-234 - [c3]Ronan Fablet, Patrick Bouthemy, Marc Gelgon:
Moving Object Detection in Color Image Sequences Using Region-Level Graph Labeling. ICIP (2) 1999: 939-943 - [c2]Ronan Fablet, Patrick Bouthemy:
Motion-Based Feature Extraction and Ascendant Hierarchical Classification for Video Indexing and Retrieval. VISUAL 1999: 221-228 - 1998
- [c1]Patrick Bouthemy, Ronan Fablet:
Motion characterization from temporal cooccurrences of local motion-based measures for video indexing. ICPR 1998: 905-908
Coauthor Index
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