Étienne Mémin

Publication Activity (10 Years)

Years Active: 1994-2023
Publications (10 Years): 9

Top Topics

Top Venues

J. Comput. Phys.

SIAM/ASA J. Uncertain. Quantification

Publications

Bertrand Chapron, Dan Crisan, Darryl D. Holm, Oana Lang, Alexander Lobbe, Étienne Mémin
Comparison of Stochastic Parametrization Schemes using Data Assimilation on Triad Models. CoRR (2023)
Karim Makki, Jean François Lecomte, Lukas Fuchs, Sylvie Schueller, Étienne Mémin
Level set based particle filter driven by optical flow: an application to track the salt boundary from X-ray CT time-series. CoRR (2022)
Valentin Resseguier, Agustin M. Picard, Étienne Mémin, Bertrand Chapron
Quantifying Truncation-Related Uncertainties in Unsteady Fluid Dynamics Reduced Order Models. SIAM/ASA J. Uncertain. Quantification 9 (3) (2021)
Rüdiger Brecht, Long Li, Werner Bauer, Étienne Mémin
Rotating shallow water flow under location uncertainty with a structure-preserving discretization. CoRR (2021)
Pranav Chandramouli, Étienne Mémin, Dominique Heitz
4D large scale variational data assimilation of a turbulent flow with a dynamics error model. J. Comput. Phys. 412 (2020)
Ronan Fablet, Bertrand Chapron, Lucas Drumetz, Étienne Mémin, Olivier Pannekoucke, François Rousseau
Learning Variational Data Assimilation Models and Solvers. CoRR (2020)
Shengze Cai, Étienne Mémin, Yin Yang, Chao Xu
Sea Surface Flow Estimation via Ensemble-based Variational Data Assimilation. ACC (2018)
Shengze Cai, Étienne Mémin, Pierre Dérian, Chao Xu
Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators. EMMCVPR (2017)
Musaab Khalid, Lionel Pénard, Étienne Mémin
Application of optical flow for river velocimetry. IGARSS (2017)
Christophe Avenel, Étienne Mémin, Patrick Pérez
Stochastic Level Set Dynamics to Track Closed Curves Through Image Data. J. Math. Imaging Vis. 49 (2) (2014)
A. Gronskis, Dominique Heitz, Étienne Mémin
Inflow and initial conditions for direct numerical simulation based on adjoint data assimilation. J. Comput. Phys. 242 (2013)
Patrick Héas, Cédric Herzet, Étienne Mémin, Dominique Heitz, Pablo D. Mininni
Bayesian Estimation of Turbulent Motion. IEEE Trans. Pattern Anal. Mach. Intell. 35 (6) (2013)
Souleymane Kadri Harouna, Pierre Dérian, Patrick Héas, Étienne Mémin
Divergence-Free Wavelets and High Order Regularization. Int. J. Comput. Vis. 103 (1) (2013)
Patrick Héas, Cédric Herzet, Étienne Mémin
Bayesian Inference of Models and Hyperparameters for Robust Optical-Flow Estimation. IEEE Trans. Image Process. 21 (4) (2012)
Guillermo Artana, A. Cammilleri, J. Carlier, Étienne Mémin
Strong and weak constraint variational assimilations for reduced order fluid flow modeling. J. Comput. Phys. 231 (8) (2012)
Thomas Corpetti, Étienne Mémin
Stochastic Uncertainty Models for the Luminance Consistency Assumption. IEEE Trans. Image Process. 21 (2) (2012)
Rama Krishna Sai Subrahmanyam Gorthi, Sébastien Beyou, Étienne Mémin
Analysis of SST images by weighted Ensemble Transform Kalman Filter. IGARSS (2011)
Patrick Héas, Cédric Herzet, Étienne Mémin
Robust Optic-Flow Estimation with Bayesian Inference of Model and Hyper-parameters. SSVM (2011)
Thomas Corpetti, Étienne Mémin
Stochastic Models for Local Optical Flow Estimation. SSVM (2011)
Rama Krishna Sai Subrahmanyam Gorthi, Sébastien Beyou, Thomas Corpetti, Étienne Mémin
Multiscale Weighted Ensemble Kalman Filter for Fluid Flow Estimation. SSVM (2011)
Pierre Dérian, Patrick Héas, Cédric Herzet, Étienne Mémin
Wavelet-Based Fluid Motion Estimation. SSVM (2011)
Christophe Avenel, Étienne Mémin, Patrick Pérez
Stochastic Filtering of Level Sets for Curve Tracking. ICPR (2010)
Claire Thomas, Thomas Corpetti, Étienne Mémin
Data Assimilation for Convective-Cell Tracking on Meteorological Image Sequences. IEEE Trans. Geosci. Remote. Sens. 48 (8) (2010)
Christophe Avenel, Étienne Mémin, Patrick Pérez
Tracking Level Set Representation Driven by a Stochastic Dynamics. Curves and Surfaces (2010)
Claire Thomas, Thomas Corpetti, Étienne Mémin
Data Assimilation for Convective Cells Tracking in MSG Images. IGARSS (2) (2009)
Patrick Héas, Étienne Mémin
Inference on Gibbs Optic-flow Priors : Application to Atmospheric Turbulence Characterization. IGARSS (3) (2009)
Christophe Avenel, Étienne Mémin, Patrick Pérez
Tracking Closed Curves with Non-linear Stochastic Filters. SSVM (2009)
Anne Cuzol, Étienne Mémin
A Stochastic Filtering Technique for Fluid Flow Velocity Fields Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 31 (7) (2009)
Patrick Héas, Étienne Mémin, Dominique Heitz, Pablo D. Mininni
Bayesian selection of scaling laws for motion modeling in images. ICCV (2009)
Patrick Héas, Étienne Mémin
Three-Dimensional Motion Estimation of Atmospheric Layers From Image Sequences. IEEE Trans. Geosci. Remote. Sens. 46 (8) (2008)
Nicolas Papadakis, Étienne Mémin
A Variational Technique for Time Consistent Tracking of Curves and Motion. J. Math. Imaging Vis. 31 (1) (2008)
Thomas Corpetti, Patrick Héas, Étienne Mémin, Nicolas Papadakis
Variational Pressure Image Assimilation for Atmospheric Motion Estimation. IGARSS (2) (2008)
Muriel Pressigout, Éric Marchand, Étienne Mémin
Hybrid tracking approach using optical flow and pose estimation. ICIP (2008)
Nicolas Papadakis, Étienne Mémin
Variational Assimilation of Fluid Motion from Image Sequence. SIAM J. Imaging Sci. 1 (4) (2008)
Patrick Héas, Étienne Mémin
Optical-Flow for 3D Atmospheric Motion Estimation. VISAPP (2) (2008)
Elise Arnaud, Étienne Mémin
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods. Int. J. Comput. Vis. 80 (1) (2008)
Thomas Corpetti, Nicolas Papadakis, Étienne Mémin
Dense estimation of motion fields on meteosat second generation images using a dynamical consistency. IGARSS (2007)
Patrick Héas, Étienne Mémin, Nicolas Papadakis
A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers. SSVM (2007)
Anne Cuzol, Pierre Hellier, Étienne Mémin
A Low Dimensional Fluid Motion Estimator. Int. J. Comput. Vis. 75 (3) (2007)
Nicolas Papadakis, Patrick Héas, Étienne Mémin
Image Assimilation for Motion Estimation of Atmospheric Layers with Shallow-Water Model. ACCV (1) (2007)
Nicolas Papadakis, Thomas Corpetti, Étienne Mémin
Dynamically consistent optical flow estimation. ICCV (2007)
Elise Arnaud, Étienne Mémin
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods. Int. J. Comput. Vis. 74 (1) (2007)
Nicolas Papadakis, Étienne Mémin
Variational optimal control technique for the tracking of deformable objects. ICCV (2007)
Nicolas Papadakis, Étienne Mémin
A Variational Framework for Spatio-temporal Smoothing of Fluid Motions. SSVM (2007)
Patrick Héas, Étienne Mémin, Nicolas Papadakis, André Szantai
Layered Estimation of Atmospheric Mesoscale Dynamics From Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 45 (12-2) (2007)
Jing Yuan, Christoph Schnörr, Étienne Mémin
Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. J. Math. Imaging Vis. 28 (1) (2007)
Patrick Héas, Étienne Mémin, Nicolas Papadakis
Dense Estimation of Layer Motions in the Atmosphere. ICPR (3) (2006)
Elise Arnaud, Étienne Mémin, Roberto Sosa, Guillermo Artana
A Fluid Motion Estimator for Schlieren Image Velocimetry. ECCV (1) (2006)
Elise Arnaud, Étienne Mémin, Bruno Cernuschi-Frías
Conditional filters for image sequence-based tracking - application to point tracking. IEEE Trans. Image Process. 14 (1) (2005)
Elise Arnaud, Brigitte Fauvet, Étienne Mémin, Patrick Bouthemy
A robust and automatic face tracker dedicated to broadcast videos. ICIP (3) (2005)
Elise Arnaud, Étienne Mémin
An efficient Rao-Blackwellized particle filter for object tracking. ICIP (2) (2005)
Anne Cuzol, Pierre Hellier, Étienne Mémin
A Novel Parametric Method for Non-rigid Image Registration. IPMI (2005)
Anne Cuzol, Étienne Mémin
Vortex and Source Particles for Fluid Motion Estimation. Scale-Space (2005)
Nicolas Papadakis, Étienne Mémin, Frédéric Cao
A Variational Approach for Object Contour Tracking. VLSM (2005)
Jing Yuan, Paul Ruhnau, Étienne Mémin, Christoph Schnörr
Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. Scale-Space (2005)
Anne Cuzol, Étienne Mémin
A Stochastic Filter for Fluid Motion Tracking. ICCV (2005)
Elise Arnaud, Étienne Mémin
Optimal Importance Sampling for Tracking in Image Sequences: Application to Point Tracking. ECCV (3) (2004)
François Lauze, Pierre Kornprobst, Étienne Mémin
A Course to Fine Multiscale Approach for Linear Least Squares Optical Flow Estimation. BMVC (2004)
Thomas Corpetti, Étienne Mémin, Alina Santa-Cruz, Dominique Heitz, Georges Arroyo
Optical flow estimation in experimental fluid mechanics. ISSPA (1) (2003)
Thomas Corpetti, Étienne Mémin, Patrick Pérez
Extraction of Singular Points from Dense Motion Fields: An Analytic Approach. J. Math. Imaging Vis. 19 (3) (2003)
Timo Kohlberger, Étienne Mémin, Christoph Schnörr
Variational Dense Motion Estimation Using the Helmholtz Decomposition. Scale-Space (2003)
Timo Kohlberger, Christoph Schnörr, Étienne Mémin
Variational dense motion estimation using a div-curl high-order regularization. ISSPA (1) (2003)
Lionel Oisel, Étienne Mémin, Luce Morin, Franck Galpin
One-dimensional dense disparity estimation for three-dimensional reconstruction. IEEE Trans. Image Process. 12 (9) (2003)
Ioannis Pratikakis, Christian Barillot, Pierre Hellier, Étienne Mémin
Robust Multiscale Deformable Registration of 3D Ultrasound Images. Int. J. Image Graph. 3 (4) (2003)
Thomas Corpetti, Étienne Mémin, Patrick Pérez
Dense Motion Analysis in Fluid Imagery. ECCV (1) (2002)
Thomas Corpetti, Étienne Mémin, Patrick Pérez
Dense Estimation of Fluid Flows. IEEE Trans. Pattern Anal. Mach. Intell. 24 (3) (2002)
Étienne Mémin, Patrick Pérez
Hierarchical Estimation and Segmentation of Dense Motion Fields. Int. J. Comput. Vis. 46 (2) (2002)
Pierre Hellier, Christian Barillot, Étienne Mémin, P. Perex
Hierarchical Estimation of a Dense Deformation Field for 3D Robust Registration. IEEE Trans. Medical Imaging 20 (5) (2001)
Étienne Mémin, Tanguy Risset
VLSI Design Methodology for Edge-Preserving Image Reconstruction. Real Time Imaging 7 (1) (2001)
Thomas Corpetti, Étienne Mémin, Patrick Pérez
Estimating Fluid Optical Flow. ICPR (2000)
Pierre Hellier, Christian Barillot, Étienne Mémin, Patrick Pérez
An Energy-Based Framework for Dense 3D Registration of Volumetric Brain Images. CVPR (2000)
Lionel Oisel, Étienne Mémin, Luce Morin
Geometric Driven Optical Flow Estimation and Segmentation for 3D Reconstruction. ECCV (2) (2000)
Étienne Mémin, Tanguy Risset
On the Study of VLSI Derivation for Optical Flow Estimation. Int. J. Pattern Recognit. Artif. Intell. 14 (4) (2000)
Christophe Papin, Patrick Bouthemy, Étienne Mémin, Guy Rochard
Tracking and Characterization of Highly Deformable Cloud Structures. ECCV (2) (2000)
Étienne Mémin, Patrick Pérez
Dense/Parametric Estimation of Fluid Flows. ICIP (3) (1999)
Pierre Hellier, Christian Barillot, Étienne Mémin, Patrick Pérez
Medical Image Registration with Robust Multigrid Techniques. MICCAI (1999)
Étienne Mémin, Patrick Pérez
Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields. ICCV (1999)
Lionel Oisel, Luce Morin, Étienne Mémin, Claude Labit
Planar Facets Segmentation using a Multiresolution Dense Disparity Field Estimation. ICIP (2) (1998)
Étienne Mémin, Patrick Pérez
A Multigrid Approach for Hierarchical Motion Estimation. ICCV (1998)
Étienne Mémin, Patrick Pérez
Joint Estimation-Segmentation of Optic Flow. ECCV (2) (1998)
Étienne Mémin, Patrick Pérez
Dense estimation and object-based segmentation of the optical flow with robust techniques. IEEE Trans. Image Process. 7 (5) (1998)
Étienne Mémin, Patrick Pérez
Robust discontinuity-preserving model for estimating optical flow. ICPR (1996)
Patrick Piscaglia, Benoît Macq, Étienne Mémin, Patrick Pérez, Claude Labit
Parallelized robust multiresolution motion estimation. ICIP (1) (1996)
Étienne Mémin, Fabrice Heitz, François Charot
Efficient Parallel Nonlinear Multigrid Algorithms for Low-Level Vision Applications. J. Parallel Distributed Comput. 29 (1) (1995)
Étienne Mémin, Fabrice Heitz, François Charot
Efficient parallel multigrid relaxation algorithms for Markov random field-based low-level vision applications. CVPR (1994)