Ronan Fablet

Orcid: 0000-0002-6462-423X

According to our database1, Ronan Fablet authored at least 187 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Scale-Aware Neural Calibration for Wide Swath Altimetry Observations.
IEEE Trans. Geosci. Remote. Sens., 2024

Rain Regime Segmentation of Sentinel-1 Observation Learning From NEXRAD Collocations With Convolution Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2024

Neural Incremental Data Assimilation.
CoRR, 2024

SPDE priors for uncertainty quantification of end-to-end neural data assimilation schemes.
CoRR, 2024

A Transformer Network With Sparse Augmented Data Representation and Cross Entropy Loss for AIS-Based Vessel Trajectory Prediction.
IEEE Access, 2024

Adaptive Spatial and Multi-Variable Generalization of 4dvarnet in Ocean Colour Remote Sensing.
Proceedings of the IGARSS 2024, 2024

Deep Learning Inversion of Ocean Wave Spectrum from SAR Satellite Observations.
Proceedings of the IEEE International Conference on Acoustics, 2024

Neural Ordinary Differential Equations with Trainable Solvers.
Proceedings of the IEEE International Conference on Acoustics, 2024

Impact of Sampling Strategies on the Monitoring of Climate Regime Shifts with a Learning Data Assimilation Method.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Extending the extended dynamic mode decomposition with latent observables: the latent EDMD framework.
Mach. Learn. Sci. Technol., June, 2023

Multimodal deep learning for cetacean distribution modeling of fin whales (Balaenoptera physalus) in the western Mediterranean Sea.
Mach. Learn., June, 2023

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review.
IEEE CAA J. Autom. Sinica, June, 2023

Multimodal 4DVarNets for the Reconstruction of Sea Surface Dynamics From SST-SSH Synergies.
IEEE Trans. Geosci. Remote. Sens., 2023

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., 2023

Multi-Modal Learning-based Reconstruction of High-Resolution Spatial Wind Speed Fields.
CoRR, 2023

Online Calibration of Deep Learning Sub-Models for Hybrid Numerical Modeling Systems.
CoRR, 2023

Gradient-free online learning of subgrid-scale dynamics with neural emulators.
CoRR, 2023

Building a Safer Maritime Environment Through Multi-Path Long-Term Vessel Trajectory Forecasting.
CoRR, 2023

Training neural mapping schemes for satellite altimetry with simulation data.
CoRR, 2023

A VAE Approach to Sample Multivariate Extremes.
CoRR, 2023

OceanBench: The Sea Surface Height Edition.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AI Data-Driven Sediments Dynamics Short Term Forecast From Observation in the Bay of Biscay.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Data-Driven Reconstruction of Sea Surface Turbidity Dynamics with 4dVarNet Neural Scheme Applied To Gappy Satellite Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Learning Neural Optimal Interpolation Models and Solvers.
Proceedings of the Computational Science - ICCS 2023, 2023

Deep Learning for Lagrangian Drift Simulation at The Sea Surface.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Gulf Stream Daily Temperature, Salinity and Mixed Layer Depth fields from Ocean Stratification network (OSnet).
Dataset, February, 2022

GeoTrackNet - A Maritime Anomaly Detector Using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection.
IEEE Trans. Intell. Transp. Syst., 2022

End-to-End Neural Interpolation of Satellite-Derived Sea Surface Suspended Sediment Concentrations.
Remote. Sens., 2022

Correction: Martinez et al. Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sens. 12, 2020, 4156.
Remote. Sens., 2022

Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning.
Remote. Sens., 2022

Deep inference of seabird dives from GPS-only records: Performance and generalization properties.
PLoS Comput. Biol., 2022

Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets.
CoRR, 2022

Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables.
CoRR, 2022

Learning-based estimation of in-situ wind speed from underwater acoustics.
CoRR, 2022

Rain Rate Estimation with SAR using NEXRAD measurements with Convolutional Neural Networks.
CoRR, 2022

A posteriori learning for quasi-geostrophic turbulence parametrization.
CoRR, 2022

Multimodal learning-based inversion models for the space-time reconstruction of satellite-derived geophysical fields.
CoRR, 2022

Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning.
CoRR, 2022

Segmentation of Rainfall Regimes by Machine Learning on a Colocalized Nexrad/Sentinel-1 Dataset.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Learnable Variational Models for the Reconstruction of Sea Surface Currents Using Ais Data Streams: A Case Study on the Sicily Channel.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Joint Calibration and Mapping of Satellite Altimetry Data Using Trainable Variational Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Data-Driven Interpolation of Sea Surface Suspended Concentrations Derived from Ocean Colour Remote Sensing Data.
Remote. Sens., 2021

Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Trainable Variational Models.
Remote. Sens., 2021

Joint Interpolation and Representation Learning for Irregularly Sampled Satellite-Derived Geophysical Fields.
Frontiers Appl. Math. Stat., 2021

A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps.
CoRR, 2021

TrAISformer-A generative transformer for AIS trajectory prediction.
CoRR, 2021

Learning Runge-Kutta Integration Schemes for ODE Simulation and Identification.
CoRR, 2021

Data-Driven Spatio-Temporal Interpolation of Sea Surface Sediment Concentration from Satellite-Derived Data: An OSSE Case-Study in the Bay of Biscay.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

End-to-End Kalman Filter for the Reconstruction of Sea Surface Dynamics from Satellite Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Segmentation of Sentinel-1 SAR Images Over the Ocean, Preliminary Methods and Assessments.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

End-to-End Learning of Variational Interpolation Schemes for Satellite-Derived SSH Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

End-to-End Learning of Variational Models and Solvers for the Resolution of Interpolation Problems.
Proceedings of the IEEE International Conference on Acoustics, 2021

Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Learnable Variational Models.
Proceedings of the IEEE International Conference on Acoustics, 2021

Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean.
Remote. Sens., 2020

Intercomparison of Data-Driven and Learning-Based Interpolations of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations.
Remote. Sens., 2020

Residual Networks as Flows of Diffeomorphisms.
J. Math. Imaging Vis., 2020

Physical invariance in neural networks for subgrid-scale scalar flux modeling.
CoRR, 2020

Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations.
CoRR, 2020

Learning Variational Data Assimilation Models and Solvers.
CoRR, 2020

Joint learning of variational representations and solvers for inverse problems with partially-observed data.
CoRR, 2020

PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations.
CoRR, 2020

SegSRGAN: Super-resolution and segmentation using generative adversarial networks - Application to neonatal brain MRI.
Comput. Biol. Medicine, 2020

Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean.
Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020

Physically Informed Neural Networks for the Simulation and Data-Assimilation of Geophysical Dynamics.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Filtering Internal Tides from Wide-Swath Altimeter Data Using Convolutional Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Data-driven and learning-based interpolations of along-track Nadir and wide-swath SWOT altimetry observations.
Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020

2019
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., 2019

CNN-Based Target Recognition and Identification for Infrared Imaging in Defense Systems.
Sensors, 2019

Data-Driven Interpolation of Sea Level Anomalies Using Analog Data Assimilation.
Remote. Sens., 2019

Ship Identification and Characterization in Sentinel-1 SAR Images with Multi-Task Deep Learning.
Remote. Sens., 2019

Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models.
CoRR, 2019

End-to-end learning of energy-based representations for irregularly-sampled signals and images.
CoRR, 2019

Learning Latent Dynamics for Partially-Observed Chaotic Systems.
CoRR, 2019

EM-like Learning Chaotic Dynamics from Noisy and Partial Observations.
CoRR, 2019

Multiscale brain MRI super-resolution using deep 3D convolutional networks.
Comput. Medical Imaging Graph., 2019

Simultaneous Super-Resolution and Segmentation Using a Generative Adversarial Network: Application to Neonatal Brain MRI.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Learning Ocean Dynamical Priors from Noisy Data Using Assimilation-Derived Neural Nets.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Sea Surface Dynamics Reconstruction Using Neural Networks Based Kalman Filter.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Learning Differential Transport Operators for the Joint Super-Resolution of Sea Surface Tracers and Prediction of Subgrid-Scale Features.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Residual Integration Neural Network.
Proceedings of the IEEE International Conference on Acoustics, 2019

Learning Stochastic Representations of Geophysical Dynamics.
Proceedings of the IEEE International Conference on Acoustics, 2019

Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Improving Mesoscale Altimetric Data From a Multitracer Convolutional Processing of Standard Satellite-Derived Products.
IEEE Trans. Geosci. Remote. Sens., 2018

Neural Network Based Kalman Filters for the Spatio-Temporal Interpolation of Satellite-Derived Sea Surface Temperature.
Remote. Sens., 2018

SWOT Spatial Scales in the Western Mediterranean Sea Derived from Pseudo-Observations and an Ad Hoc Filtering.
Remote. Sens., 2018

Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation.
Remote. Sens., 2018

Multi-task Learning for Maritime Traffic Surveillance from AIS Data Streams.
CoRR, 2018

Residual Networks as Geodesic Flows of Diffeomorphisms.
CoRR, 2018

Sea Surface Temperature Prediction and Reconstruction Using Patch-Level Neural Network Representations.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Analog Data Assimilation for Along-Track Nadir and Swot Altimetry Data in the Western Mediterranean Sea.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

An Approximate Message Passing Approach for DOA Estimation in Phase Noisy Environments.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Bilinear Residual Neural Network for the Identification and Forecasting of Geophysical Dynamics.
Proceedings of the 26th European Signal Processing Conference, 2018

A Multi-Task Deep Learning Architecture for Maritime Surveillance Using AIS Data Streams.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017
Data-Driven Models for the Spatio-Temporal Interpolation of Satellite-Derived SST Fields.
IEEE Trans. Computational Imaging, 2017

Bilinear residual Neural Network for the identification and forecasting of dynamical systems.
CoRR, 2017

Brain MRI super-resolution using deep 3D convolutional networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Spatio-temporal interpolation of altimeter-derived SSH fields using analog data assimilation: A case-study in the south china sea.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Learning multi-tracer convolutional models for the reconstruction of high-resolution SSH fields.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Locally-adapted convolution-based super-resolution of irregularly-sampled ocean remote sensing data.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Data-driven assimilation of irregularly-sampled image time series.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Non-negative decomposition of geophysical dynamics.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Foreword to the Special Issue on the Remote Sensing of the World Oceans.
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.
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.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Joint Interpolation of Multisensor Sea Surface Temperature Fields Using Nonlocal and Statistical Priors.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Validation and Parameter Sensitivity Tests for Reconstructing Swell Field Based on an Ensemble Kalman Filter.
Sensors, 2016

Texture synthesis guided by a low-resolution image.
Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

Convolutional Neural Networks for object recognition on mobile devices: A case study.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Non-negative decomposition of linear relationships: Application to multi-source ocean remote sensing data.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

An exemplar-based hidden Markov model framework for nonlinear state-space models.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
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., 2015

Learning-Based Emulation of Sea Surface Wind Fields From Numerical Model Outputs and SAR Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Non-homogeneous priors in a Bayesian latent class model for ocean color inversion.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Non-parametric Ensemble Kalman methods for the inpainting of noisy dynamic textures.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Missing data super-resolution using non-local and statistical priors.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Segmentation of Mesoscale Ocean Surface Dynamics Using Satellite SST and SSH Observations.
IEEE Trans. Geosci. Remote. Sens., 2014

Multiscale Analysis of Geometric Planar Deformations: Application to Wild Animal Electronic Tracking and Satellite Ocean Observation Data.
IEEE Trans. Geosci. Remote. Sens., 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.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Hidden surface dynamical modes and SSH retrievals from a joint analysis of altimetry and microwave SST.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Statistical emulation of high-resolution SAR wind fields from low-resolution model predictions.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Stochastic super-resolution of satellite-based Sea Surface Temperature using conditional SPDE models.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Ocean surface current retrieval using a non homogeneous Markov-switching multi-regime model.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Geodesics-Based Image Registration: Applications To Biological And Medical Images Depicting Concentric Ring Patterns.
IEEE Trans. Image Process., 2013

Protein Interaction Hotspot Identification Using Sequence-Based Frequency-Derived Features.
IEEE Trans. Biomed. Eng., 2013

Spatio-temporal segmentation and estimation of ocean surface currents from satellite sea surface temperature fields.
Proceedings of the IEEE International Conference on Image Processing, 2013

Random walk models for geometry-driven image super-resolution.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Keypoint-Based Analysis of Sonar Images: Application to Seabed Recognition.
IEEE Trans. Geosci. Remote. Sens., 2012

Interpolation par assimilation variationnelle de séquences multimodales d'images satellitaires de l'océan.
Traitement du Signal, 2012

Spatial Statistics of Objects in 3-D Sonar Images: Application to Fisheries Acoustics.
IEEE Geosci. Remote. Sens. Lett., 2012

Statistical Descriptors of Ocean Regimes From the Geometric Regularity of SST Observations.
IEEE Geosci. Remote. Sens. Lett., 2012

Multi-resolution data assimilation for missing data interpolation in geophysical sequences.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Des otolithes aux satellites : méthodes et applications du traitement du signal et des images pour l'observation de l'océan.
, 2012

2011
Classification faiblement supervisée : arbre de décision probabiliste et apprentissage itératif.
Proceedings of the Fouille de données complexes. Complexité liée aux données multiples, 2011

Object recognition using proportion-based prior information: Application to fisheries acoustics.
Pattern Recognit. Lett., 2011

Multivariate log-Gaussian Cox models of elementary shapes for recognizing natural scene categories.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Multi-resolution missing data interpolation in SST image series.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Log-gaussian cox processes of visual keypoints for sonar texture recognition.
Proceedings of the IEEE International Conference on Acoustics, 2011

Prévision de trajectoires de cyclones à l'aide de forêts aléatoires avec arbres de régression.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

Visual textures as realizations of multivariate log-Gaussian Cox processes.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Variational Region-Based Segmentation Using Multiple Texture Statistics.
IEEE Trans. Image Process., 2010

Variational shape matching for shape classification and retrieval.
Pattern Recognit. Lett., 2010

Descriptors for sea surface temperature front regularity characterization.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Variational data assimilation for missing data interpolation in SST images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Variational fronts tracking in sea surface temperature images.
Proceedings of the International Conference on Image Processing, 2010

Invariant descriptors of sonar textures from spatial statistics of local features.
Proceedings of the IEEE International Conference on Acoustics, 2010

Weakly supervised learning with decision trees applied to fisheries acoustics.
Proceedings of the IEEE International Conference on Acoustics, 2010

Spatial Statistics of Visual Keypoints for Texture Recognition.
Proceedings of the Computer Vision, 2010

Weakly Supervised Classification of Objects in Images Using Soft Random Forests.
Proceedings of the Computer Vision, 2010

2009
Seabed Segmentation Using Optimized Statistics of Sonar Textures.
IEEE Trans. Geosci. Remote. Sens., 2009

Shape geodesics for boundary-based object recognition and retrieval.
Proceedings of the International Conference on Image Processing, 2009

Combining image-level and object-level inference for weakly supervised object recognition. Application to fisheries acoustics.
Proceedings of the International Conference on Image Processing, 2009

Variational 1D signal registration and shape geodesics for shape classification: Application to marine biological archives.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009

2008
Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation.
Pattern Anal. Appl., 2008

2D Image-based reconstruction of shape deformation of biological structures using a level-set representation.
Comput. Vis. Image Underst., 2008

Weakly supervised learning using proportion-based information: An application to fisheries acoustics.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Otolith Image Analysis by Computer Vision.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2006
Automatic morphological detection of otolith nucleus.
Pattern Recognit. Lett., 2006

Variational Level-Set Reconstruction of Accretionary Morphogenesis from Images.
Proceedings of the International Conference on Image Processing, 2006

Orientation Interpolation and Applications.
Proceedings of the International Conference on Image Processing, 2006

Region-Based Image Segmentation Using Texture Statistics And Level-Set Methods.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Unsupervised Calibrated Sonar Imaging for Seabed Observation Using Hidden Markov Random Fields.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Interpolating Orientation Fields: An Axiomatic Approach.
Proceedings of the Computer Vision, 2006

2005
Variational multi-wavelet restoration of noisy images.
Proceedings of the 2005 International Conference on Image Processing, 2005

Extraction and interpretation of ring structures in images of biological hard tissues: application to fish age and growth estimation.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Automatic Fish Age Estimation from Otolith Images using Statistical Learning.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Multiscale segmentation of textured sonar images using cooccuplrence statistics.
Proceedings of the 2004 International Conference on Image Processing, 2004

The Dense Estimation of Motion and Appearance in Layers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

2003
Motion Recognition Using Nonparametric Image Motion Models Estimated from Temporal and Multiscale Cooccurrence Statistics.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Robust statistical registration of 3D ultrasound images using texture information.
Proceedings of the 2003 International Conference on Image Processing, 2003

Robust time-frequency model estimation in otolith images for fish age and growth analysis.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Nonparametric motion characterization using causal probabilistic models for video indexing and retrieval.
IEEE Trans. Image Process., 2002

Automatic Detection and Tracking of Human Motion with a View-Based Representation.
Proceedings of the Computer Vision, 2002

2001
Non-Parametric Motion Activity Analysis for Statistical Retrieval with Partial Query.
J. Math. Imaging Vis., 2001

Motion recognition using spatio-temporal random walks in sequence of 2D motion-related measurements.
Proceedings of the 2001 International Conference on Image Processing, 2001

MRF-based moving object detection from MPEG coded video.
Proceedings of the 2001 International Conference on Image Processing, 2001

Non parametric motion recognition using temporal multiscale Gibbs models.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000
Statistical Motion-Based Retrieval with Partial Query.
Proceedings of the Advances in Visual Information Systems, 4th International Conference, 2000

Statistical motion-based video indexing and retrieval.
Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications), 2000

Statistical Motion-Based Object Indexing Using Optic Flow Field.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Motion-Based Feature Extraction and Ascendant Hierarchical Classification for Video Indexing and Retrieval.
Proceedings of the Visual Information and Information Systems, 1999

Moving Object Detection in Color Image Sequences Using Region-Level Graph Labeling.
Proceedings of the 1999 International Conference on Image Processing, 1999

New descriptors for image and video indexing.
Proceedings of the State-of-the-Art in Content-Based Image and Video Retrieval [Dagstuhl Seminar, 1999

1998
Motion characterization from temporal cooccurrences of local motion-based measures for video indexing.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998


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