Efficient parallel multigrid relaxation algorithms for Markov random field-based low-level vision applications. - Étienne Mémin; Fabrice Heitz; François Charot (CVPR, 1994)

Efficient Parallel Nonlinear Multigrid Algorithms for Low-Level Vision Applications. - Étienne Mémin; Fabrice Heitz; François Charot (J. Parallel Distributed Comput., 1995)

Parallelized robust multiresolution motion estimation. - Patrick Piscaglia; Benoît Macq; Étienne Mémin; Patrick Pérez; Claude Labit (ICIP (1), 1996)

Robust discontinuity-preserving model for estimating optical flow. - Étienne Mémin; Patrick Pérez (ICPR, 1996)

Joint Estimation-Segmentation of Optic Flow. - Étienne Mémin; Patrick Pérez (ECCV (2), 1998)

A Multigrid Approach for Hierarchical Motion Estimation. - Étienne Mémin; Patrick Pérez (ICCV, 1998)

Planar Facets Segmentation using a Multiresolution Dense Disparity Field Estimation. - Lionel Oisel; Luce Morin; Étienne Mémin; Claude Labit (ICIP (2), 1998)

Dense estimation and object-based segmentation of the optical flow with robust techniques. - Étienne Mémin; Patrick Pérez (IEEE Trans. Image Process., 1998)

Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields. - Étienne Mémin; Patrick Pérez (ICCV, 1999)

Dense/Parametric Estimation of Fluid Flows. - Étienne Mémin; Patrick Pérez (ICIP (3), 1999)

Medical Image Registration with Robust Multigrid Techniques. - Pierre Hellier; Christian Barillot; Étienne Mémin; Patrick Pérez (MICCAI, 1999)

An Energy-Based Framework for Dense 3D Registration of Volumetric Brain Images. - Pierre Hellier; Christian Barillot; Étienne Mémin; Patrick Pérez (CVPR, 2000)

Geometric Driven Optical Flow Estimation and Segmentation for 3D Reconstruction. - Lionel Oisel; Étienne Mémin; Luce Morin (ECCV (2), 2000)

Tracking and Characterization of Highly Deformable Cloud Structures. - Christophe Papin; Patrick Bouthemy; Étienne Mémin; Guy Rochard (ECCV (2), 2000)

Estimating Fluid Optical Flow. - Thomas Corpetti; Étienne Mémin; Patrick Pérez (ICPR, 2000)

On the Study of VLSI Derivation for Optical Flow Estimation. - Étienne Mémin; Tanguy Risset (Int. J. Pattern Recognit. Artif. Intell., 2000)

VLSI Design Methodology for Edge-Preserving Image Reconstruction. - Étienne Mémin; Tanguy Risset (Real Time Imaging, 2001)

Hierarchical Estimation of a Dense Deformation Field for 3D Robust Registration. - Pierre Hellier; Christian Barillot; Étienne Mémin; P. Perex (IEEE Trans. Medical Imaging, 2001)

Dense Motion Analysis in Fluid Imagery. - Thomas Corpetti; Étienne Mémin; Patrick Pérez (ECCV (1), 2002)

Hierarchical Estimation and Segmentation of Dense Motion Fields. - Étienne Mémin; Patrick Pérez (Int. J. Comput. Vis., 2002)

Dense Estimation of Fluid Flows. - Thomas Corpetti; Étienne Mémin; Patrick Pérez (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Optical flow estimation in experimental fluid mechanics. - Thomas Corpetti; Étienne Mémin; Alina Santa-Cruz; Dominique Heitz; Georges Arroyo (ISSPA (1), 2003)

Variational dense motion estimation using a div-curl high-order regularization. - Timo Kohlberger; Christoph Schnörr; Étienne Mémin (ISSPA (1), 2003)

Variational Dense Motion Estimation Using the Helmholtz Decomposition. - Timo Kohlberger; Étienne Mémin; Christoph Schnörr (Scale-Space, 2003)

Robust Multiscale Deformable Registration of 3D Ultrasound Images. - Ioannis Pratikakis; Christian Barillot; Pierre Hellier; Étienne Mémin (Int. J. Image Graph., 2003)

Extraction of Singular Points from Dense Motion Fields: An Analytic Approach. - Thomas Corpetti; Étienne Mémin; Patrick Pérez (J. Math. Imaging Vis., 2003)

One-dimensional dense disparity estimation for three-dimensional reconstruction. - Lionel Oisel; Étienne Mémin; Luce Morin; Franck Galpin (IEEE Trans. Image Process., 2003)

A Course to Fine Multiscale Approach for Linear Least Squares Optical Flow Estimation. - François Lauze; Pierre Kornprobst; Étienne Mémin (BMVC, 2004)

Optimal Importance Sampling for Tracking in Image Sequences: Application to Point Tracking. - Elise Arnaud; Étienne Mémin (ECCV (3), 2004)

A Stochastic Filter for Fluid Motion Tracking. - Anne Cuzol; Étienne Mémin (ICCV, 2005)

A robust and automatic face tracker dedicated to broadcast videos. - Elise Arnaud; Brigitte Fauvet; Étienne Mémin; Patrick Bouthemy (ICIP (3), 2005)

An efficient Rao-Blackwellized particle filter for object tracking. - Elise Arnaud; Étienne Mémin (ICIP (2), 2005)

A Novel Parametric Method for Non-rigid Image Registration. - Anne Cuzol; Pierre Hellier; Étienne Mémin (IPMI, 2005)

Vortex and Source Particles for Fluid Motion Estimation. - Anne Cuzol; Étienne Mémin (Scale-Space, 2005)

Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. - Jing Yuan 005; Paul Ruhnau; Étienne Mémin; Christoph Schnörr (Scale-Space, 2005)

A Variational Approach for Object Contour Tracking. - Nicolas Papadakis; Étienne Mémin; Frédéric Cao (VLSM, 2005)

Conditional filters for image sequence-based tracking - application to point tracking. - Elise Arnaud; Étienne Mémin; Bruno Cernuschi-Frías (IEEE Trans. Image Process., 2005)

A Fluid Motion Estimator for Schlieren Image Velocimetry. - Elise Arnaud; Étienne Mémin; Roberto Sosa; Guillermo Artana (ECCV (1), 2006)

Dense Estimation of Layer Motions in the Atmosphere. - Patrick Héas; Étienne Mémin; Nicolas Papadakis (ICPR (3), 2006)

Image Assimilation for Motion Estimation of Atmospheric Layers with Shallow-Water Model. - Nicolas Papadakis; Patrick Héas; Étienne Mémin (ACCV (1), 2007)

Dynamically consistent optical flow estimation. - Nicolas Papadakis; Thomas Corpetti; Étienne Mémin (ICCV, 2007)

Variational optimal control technique for the tracking of deformable objects. - Nicolas Papadakis; Étienne Mémin (ICCV, 2007)

Dense estimation of motion fields on meteosat second generation images using a dynamical consistency. - Thomas Corpetti; Nicolas Papadakis; Étienne Mémin (IGARSS, 2007)

A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers. - Patrick Héas; Étienne Mémin; Nicolas Papadakis (SSVM, 2007)

A Variational Framework for Spatio-temporal Smoothing of Fluid Motions. - Nicolas Papadakis; Étienne Mémin (SSVM, 2007)

A Low Dimensional Fluid Motion Estimator. - Anne Cuzol; Pierre Hellier; Étienne Mémin (Int. J. Comput. Vis., 2007)

Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. - Jing Yuan 005; Christoph Schnörr; Étienne Mémin (J. Math. Imaging Vis., 2007)

Layered Estimation of Atmospheric Mesoscale Dynamics From Satellite Imagery. - Patrick Héas; Étienne Mémin; Nicolas Papadakis; André Szantai (IEEE Trans. Geosci. Remote. Sens., 2007)

Hybrid tracking approach using optical flow and pose estimation. - Muriel Pressigout; Éric Marchand; Étienne Mémin (ICIP, 2008)

Variational Pressure Image Assimilation for Atmospheric Motion Estimation. - Thomas Corpetti; Patrick Héas; Étienne Mémin; Nicolas Papadakis (IGARSS (2), 2008)

Optical-Flow for 3D Atmospheric Motion Estimation. - Patrick Héas; Étienne Mémin (VISAPP (2), 2008)

Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods. - Elise Arnaud; Étienne Mémin (Int. J. Comput. Vis., 2008)

A Variational Technique for Time Consistent Tracking of Curves and Motion. - Nicolas Papadakis; Étienne Mémin (J. Math. Imaging Vis., 2008)

Variational Assimilation of Fluid Motion from Image Sequence. - Nicolas Papadakis; Étienne Mémin (SIAM J. Imaging Sci., 2008)

Three-Dimensional Motion Estimation of Atmospheric Layers From Image Sequences. - Patrick Héas; Étienne Mémin (IEEE Trans. Geosci. Remote. Sens., 2008)

Bayesian selection of scaling laws for motion modeling in images. - Patrick Héas; Étienne Mémin; Dominique Heitz; Pablo D. Mininni (ICCV, 2009)

Inference on Gibbs Optic-flow Priors : Application to Atmospheric Turbulence Characterization. - Patrick Héas; Étienne Mémin (IGARSS (3), 2009)

Data Assimilation for Convective Cells Tracking in MSG Images. - Claire Thomas; Thomas Corpetti; Étienne Mémin (IGARSS (2), 2009)

Tracking Closed Curves with Non-linear Stochastic Filters. - Christophe Avenel; Étienne Mémin; Patrick Pérez (SSVM, 2009)

A Stochastic Filtering Technique for Fluid Flow Velocity Fields Tracking. - Anne Cuzol; Étienne Mémin (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Tracking Level Set Representation Driven by a Stochastic Dynamics. - Christophe Avenel; Étienne Mémin; Patrick Pérez (Curves and Surfaces, 2010)

Stochastic Filtering of Level Sets for Curve Tracking. - Christophe Avenel; Étienne Mémin; Patrick Pérez (ICPR, 2010)

Data Assimilation for Convective-Cell Tracking on Meteorological Image Sequences. - Claire Thomas; Thomas Corpetti; Étienne Mémin (IEEE Trans. Geosci. Remote. Sens., 2010)

Analysis of SST images by weighted Ensemble Transform Kalman Filter. - Rama Krishna Sai Subrahmanyam Gorthi; Sébastien Beyou; Étienne Mémin (IGARSS, 2011)

Stochastic Models for Local Optical Flow Estimation. - Thomas Corpetti; Étienne Mémin (SSVM, 2011)

Wavelet-Based Fluid Motion Estimation. - Pierre Dérian; Patrick Héas; Cédric Herzet; Étienne Mémin (SSVM, 2011)

Multiscale Weighted Ensemble Kalman Filter for Fluid Flow Estimation. - Rama Krishna Sai Subrahmanyam Gorthi; Sébastien Beyou; Thomas Corpetti; Étienne Mémin (SSVM, 2011)

Robust Optic-Flow Estimation with Bayesian Inference of Model and Hyper-parameters. - Patrick Héas; Cédric Herzet; Étienne Mémin (SSVM, 2011)

Strong and weak constraint variational assimilations for reduced order fluid flow modeling. - Guillermo Artana; A. Cammilleri; Johan Carlier; Étienne Mémin (J. Comput. Phys., 2012)

Stochastic Uncertainty Models for the Luminance Consistency Assumption. - Thomas Corpetti; Étienne Mémin (IEEE Trans. Image Process., 2012)

Bayesian Inference of Models and Hyperparameters for Robust Optical-Flow Estimation. - Patrick Héas; Cédric Herzet; Étienne Mémin (IEEE Trans. Image Process., 2012)

Divergence-Free Wavelets and High Order Regularization. - Souleymane Kadri Harouna; Pierre Dérian; Patrick Héas; Étienne Mémin (Int. J. Comput. Vis., 2013)

Inflow and initial conditions for direct numerical simulation based on adjoint data assimilation. - A. Gronskis; Dominique Heitz; Étienne Mémin (J. Comput. Phys., 2013)

Bayesian Estimation of Turbulent Motion. - Patrick Héas; Cédric Herzet; Étienne Mémin; Dominique Heitz; Pablo D. Mininni (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Stochastic Level Set Dynamics to Track Closed Curves Through Image Data. - Christophe Avenel; Étienne Mémin; Patrick Pérez (J. Math. Imaging Vis., 2014)

Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators. - Shengze Cai; Étienne Mémin; Pierre Dérian; Chao Xu 001 (EMMCVPR, 2017)

Application of optical flow for river velocimetry. - Musaab Khalid; Lionel Pénard; Étienne Mémin (IGARSS, 2017)

Sea Surface Flow Estimation via Ensemble-based Variational Data Assimilation. - Shengze Cai; Étienne Mémin; Yin Yang; Chao Xu 001 (ACC, 2018)

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

4D large scale variational data assimilation of a turbulent flow with a dynamics error model. - Pranav Chandramouli; Étienne Mémin; Dominique Heitz (J. Comput. Phys., 2020)

Rotating shallow water flow under location uncertainty with a structure-preserving discretization. - Rüdiger Brecht; Long Li 007; Werner Bauer; Étienne Mémin (CoRR, 2021)

Quantifying Truncation-Related Uncertainties in Unsteady Fluid Dynamics Reduced Order Models. - Valentin Resseguier; Agustin M. Picard; Étienne Mémin; Bertrand Chapron (SIAM/ASA J. Uncertain. Quantification, 2021)

Level set based particle filter driven by optical flow: an application to track the salt boundary from X-ray CT time-series. - Karim Makki; Jean François Lecomte; Lukas Fuchs; Sylvie Schueller; Étienne Mémin (CoRR, 2022)

Ensemble forecasts in reproducing kernel Hilbert space family: dynamical systems in Wonderland. - Bérenger Hug; Étienne Mémin; Gilles Tissot (CoRR, 2022)

Comparison of Stochastic Parametrization Schemes using Data Assimilation on Triad Models. - Bertrand Chapron; Dan Crisan; Darryl D. Holm; Oana Lang; Alexander Lobbe; Étienne Mémin (CoRR, 2023)