Étienne Mémin

86 papers A* 8A 2B 4C 4Journal 35Unranked 33

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