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ORCIDÉtienne Mémin
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2020 – today
- 2023
[i5]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 abs/2304.14216 (2023)- 2022
- [i4]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 abs/2202.08717 (2022) - [i3]Bérenger Hug, Étienne Mémin, Gilles Tissot:
Ensemble forecasts in reproducing kernel Hilbert space family: dynamical systems in Wonderland. CoRR abs/2207.14653 (2022) - 2021
- [j30]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): 1152-1183 (2021) - [i2]Rüdiger Brecht, Long Li, Werner Bauer, Étienne Mémin:
Rotating shallow water flow under location uncertainty with a structure-preserving discretization. CoRR abs/2102.03783 (2021) - 2020
- [j29]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: 109446 (2020) - [i1]Ronan Fablet, Bertrand Chapron, Lucas Drumetz, Étienne Mémin, Olivier Pannekoucke, François Rousseau:
Learning Variational Data Assimilation Models and Solvers. CoRR abs/2007.12941 (2020)
2010 – 2019
- 2018
- [c51]Shengze Cai, Étienne Mémin, Yin Yang, Chao Xu:
Sea Surface Flow Estimation via Ensemble-based Variational Data Assimilation. ACC 2018: 3496-3501 - 2017
- [c50]Shengze Cai, Étienne Mémin, Pierre Dérian, Chao Xu:
Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators. EMMCVPR 2017: 155-171 - [c49]Musaab Khalid, Lionel Pénard, Étienne Mémin:
Application of optical flow for river velocimetry. IGARSS 2017: 6243-6246 - 2014
- [j28]Christophe Avenel, Étienne Mémin, Patrick Pérez:
Stochastic Level Set Dynamics to Track Closed Curves Through Image Data. J. Math. Imaging Vis. 49(2): 296-316 (2014) - 2013
- [j27]Souleymane Kadri Harouna, Pierre Dérian, Patrick Héas, Étienne Mémin:
Divergence-Free Wavelets and High Order Regularization. Int. J. Comput. Vis. 103(1): 80-99 (2013) - [j26]A. Gronskis, Dominique Heitz, Étienne Mémin:
Inflow and initial conditions for direct numerical simulation based on adjoint data assimilation. J. Comput. Phys. 242: 480-497 (2013) - [j25]Patrick Héas, Cédric Herzet, Étienne Mémin, Dominique Heitz, Pablo D. Mininni:
Bayesian Estimation of Turbulent Motion. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1343-1356 (2013) - 2012
- [j24]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): 3264-3288 (2012) - [j23]Thomas Corpetti, Étienne Mémin:
Stochastic Uncertainty Models for the Luminance Consistency Assumption. IEEE Trans. Image Process. 21(2): 481-493 (2012) - [j22]Patrick Héas, Cédric Herzet, Étienne Mémin:
Bayesian Inference of Models and Hyperparameters for Robust Optical-Flow Estimation. IEEE Trans. Image Process. 21(4): 1437-1451 (2012) - 2011
- [c48]Rama Krishna Sai Subrahmanyam Gorthi, Sébastien Beyou, Étienne Mémin:
Analysis of SST images by weighted Ensemble Transform Kalman Filter. IGARSS 2011: 4172-4175 - [c47]Thomas Corpetti, Étienne Mémin:
Stochastic Models for Local Optical Flow Estimation. SSVM 2011: 701-712 - [c46]Pierre Dérian, Patrick Héas, Cédric Herzet, Étienne Mémin:
Wavelet-Based Fluid Motion Estimation. SSVM 2011: 737-748 - [c45]Rama Krishna Sai Subrahmanyam Gorthi, Sébastien Beyou, Thomas Corpetti, Étienne Mémin:
Multiscale Weighted Ensemble Kalman Filter for Fluid Flow Estimation. SSVM 2011: 749-760 - [c44]Patrick Héas, Cédric Herzet, Étienne Mémin:
Robust Optic-Flow Estimation with Bayesian Inference of Model and Hyper-parameters. SSVM 2011: 773-785 - 2010
- [j21]Claire Thomas, Thomas Corpetti, Étienne Mémin:
Data Assimilation for Convective-Cell Tracking on Meteorological Image Sequences. IEEE Trans. Geosci. Remote. Sens. 48(8): 3162-3177 (2010) - [c43]Christophe Avenel, Étienne Mémin, Patrick Pérez:
Tracking Level Set Representation Driven by a Stochastic Dynamics. Curves and Surfaces 2010: 130-141 - [c42]Christophe Avenel, Étienne Mémin, Patrick Pérez:
Stochastic Filtering of Level Sets for Curve Tracking. ICPR 2010: 3553-3556
2000 – 2009
- 2009
- [j20]Anne Cuzol, Étienne Mémin:
A Stochastic Filtering Technique for Fluid Flow Velocity Fields Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 31(7): 1278-1293 (2009) - [c41]Patrick Héas, Étienne Mémin, Dominique Heitz, Pablo D. Mininni:
Bayesian selection of scaling laws for motion modeling in images. ICCV 2009: 971-978 - [c40]Claire Thomas, Thomas Corpetti, Étienne Mémin:
Data Assimilation for Convective Cells Tracking in MSG Images. IGARSS (2) 2009: 813-816 - [c39]Patrick Héas, Étienne Mémin:
Inference on Gibbs Optic-flow Priors : Application to Atmospheric Turbulence Characterization. IGARSS (3) 2009: 845-848 - [c38]Christophe Avenel, Étienne Mémin, Patrick Pérez:
Tracking Closed Curves with Non-linear Stochastic Filters. SSVM 2009: 576-587 - 2008
- [j19]Elise Arnaud, Étienne Mémin:
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods. Int. J. Comput. Vis. 80(1): 166 (2008) - [j18]Nicolas Papadakis, Étienne Mémin:
A Variational Technique for Time Consistent Tracking of Curves and Motion. J. Math. Imaging Vis. 31(1): 81-103 (2008) - [j17]Nicolas Papadakis, Étienne Mémin:
Variational Assimilation of Fluid Motion from Image Sequence. SIAM J. Imaging Sci. 1(4): 343-363 (2008) - [j16]Patrick Héas, Étienne Mémin:
Three-Dimensional Motion Estimation of Atmospheric Layers From Image Sequences. IEEE Trans. Geosci. Remote. Sens. 46(8): 2385-2396 (2008) - [c37]Muriel Pressigout, Éric Marchand, Étienne Mémin:
Hybrid tracking approach using optical flow and pose estimation. ICIP 2008: 2720-2723 - [c36]Thomas Corpetti, Patrick Héas, Étienne Mémin, Nicolas Papadakis:
Variational Pressure Image Assimilation for Atmospheric Motion Estimation. IGARSS (2) 2008: 505-508 - [c35]Patrick Héas, Étienne Mémin:
Optical-Flow for 3D Atmospheric Motion Estimation. VISAPP (2) 2008: 399-406 - 2007
- [j15]Elise Arnaud, Étienne Mémin:
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods. Int. J. Comput. Vis. 74(1): 75-102 (2007) - [j14]Anne Cuzol, Pierre Hellier, Étienne Mémin:
A Low Dimensional Fluid Motion Estimator. Int. J. Comput. Vis. 75(3): 329-349 (2007) - [j13]Jing Yuan, Christoph Schnörr, Étienne Mémin:
Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. J. Math. Imaging Vis. 28(1): 67-80 (2007) - [j12]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): 4087-4104 (2007) - [c34]Nicolas Papadakis, Patrick Héas, Étienne Mémin:
Image Assimilation for Motion Estimation of Atmospheric Layers with Shallow-Water Model. ACCV (1) 2007: 864-874 - [c33]Nicolas Papadakis, Thomas Corpetti, Étienne Mémin:
Dynamically consistent optical flow estimation. ICCV 2007: 1-7 - [c32]Nicolas Papadakis, Étienne Mémin:
Variational optimal control technique for the tracking of deformable objects. ICCV 2007: 1-7 - [c31]Thomas Corpetti, Nicolas Papadakis, Étienne Mémin:
Dense estimation of motion fields on meteosat second generation images using a dynamical consistency. IGARSS 2007: 4749-4752 - [c30]Patrick Héas, Étienne Mémin, Nicolas Papadakis:
A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers. SSVM 2007: 251-263 - [c29]Nicolas Papadakis, Étienne Mémin:
A Variational Framework for Spatio-temporal Smoothing of Fluid Motions. SSVM 2007: 603-615 - 2006
- [c28]Elise Arnaud, Étienne Mémin, Roberto Sosa, Guillermo Artana:
A Fluid Motion Estimator for Schlieren Image Velocimetry. ECCV (1) 2006: 198-210 - [c27]Patrick Héas, Étienne Mémin, Nicolas Papadakis:
Dense Estimation of Layer Motions in the Atmosphere. ICPR (3) 2006: 1-4 - 2005
- [j11]Elise Arnaud, Étienne Mémin, Bruno Cernuschi-Frías:
Conditional filters for image sequence-based tracking - application to point tracking. IEEE Trans. Image Process. 14(1): 63-79 (2005) - [c26]Anne Cuzol, Étienne Mémin:
A Stochastic Filter for Fluid Motion Tracking. ICCV 2005: 396-402 - [c25]Elise Arnaud, Étienne Mémin:
An efficient Rao-Blackwellized particle filter for object tracking. ICIP (2) 2005: 426-429 - [c24]Elise Arnaud, Brigitte Fauvet, Étienne Mémin, Patrick Bouthemy:
A robust and automatic face tracker dedicated to broadcast videos. ICIP (3) 2005: 429-432 - [c23]Anne Cuzol, Pierre Hellier, Étienne Mémin:
A Novel Parametric Method for Non-rigid Image Registration. IPMI 2005: 456-467 - [c22]Anne Cuzol, Étienne Mémin:
Vortex and Source Particles for Fluid Motion Estimation. Scale-Space 2005: 254-266 - [c21]Jing Yuan, Paul Ruhnau, Étienne Mémin, Christoph Schnörr:
Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. Scale-Space 2005: 267-278 - [c20]Nicolas Papadakis, Étienne Mémin, Frédéric Cao:
A Variational Approach for Object Contour Tracking. VLSM 2005: 259-270 - 2004
- [c19]François Lauze, Pierre Kornprobst, Étienne Mémin:
A Course to Fine Multiscale Approach for Linear Least Squares Optical Flow Estimation. BMVC 2004: 1-10 - [c18]Elise Arnaud, Étienne Mémin:
Optimal Importance Sampling for Tracking in Image Sequences: Application to Point Tracking. ECCV (3) 2004: 302-314 - 2003
- [j10]Ioannis Pratikakis, Christian Barillot, Pierre Hellier, Étienne Mémin:
Robust Multiscale Deformable Registration of 3D Ultrasound Images. Int. J. Image Graph. 3(4): 547-566 (2003) - [j9]Thomas Corpetti, Étienne Mémin, Patrick Pérez:
Extraction of Singular Points from Dense Motion Fields: An Analytic Approach. J. Math. Imaging Vis. 19(3): 175-198 (2003) - [j8]Lionel Oisel, Étienne Mémin, Luce Morin, Franck Galpin:
One-dimensional dense disparity estimation for three-dimensional reconstruction. IEEE Trans. Image Process. 12(9): 1107-1119 (2003) - [c17]Thomas Corpetti, Étienne Mémin, Alina Santa-Cruz, Dominique Heitz, Georges Arroyo:
Optical flow estimation in experimental fluid mechanics. ISSPA (1) 2003: 633-636 - [c16]Timo Kohlberger, Christoph Schnörr, Étienne Mémin:
Variational dense motion estimation using a div-curl high-order regularization. ISSPA (1) 2003: 641-644 - [c15]Timo Kohlberger, Étienne Mémin, Christoph Schnörr:
Variational Dense Motion Estimation Using the Helmholtz Decomposition. Scale-Space 2003: 432-448 - 2002
- [j7]Étienne Mémin, Patrick Pérez:
Hierarchical Estimation and Segmentation of Dense Motion Fields. Int. J. Comput. Vis. 46(2): 129-155 (2002) - [j6]Thomas Corpetti, Étienne Mémin, Patrick Pérez:
Dense Estimation of Fluid Flows. IEEE Trans. Pattern Anal. Mach. Intell. 24(3): 365-380 (2002) - [c14]Thomas Corpetti, Étienne Mémin, Patrick Pérez:
Dense Motion Analysis in Fluid Imagery. ECCV (1) 2002: 676-691 - 2001
- [j5]Étienne Mémin, Tanguy Risset:
VLSI Design Methodology for Edge-Preserving Image Reconstruction. Real Time Imaging 7(1): 109-126 (2001) - [j4]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): 388-402 (2001) - 2000
- [j3]Étienne Mémin, Tanguy Risset:
On the Study of VLSI Derivation for Optical Flow Estimation. Int. J. Pattern Recognit. Artif. Intell. 14(4): 441-461 (2000) - [c13]Pierre Hellier, Christian Barillot, Étienne Mémin, Patrick Pérez:
An Energy-Based Framework for Dense 3D Registration of Volumetric Brain Images. CVPR 2000: 2270-2275 - [c12]Christophe Papin, Patrick Bouthemy, Étienne Mémin, Guy Rochard:
Tracking and Characterization of Highly Deformable Cloud Structures. ECCV (2) 2000: 428-442 - [c11]Lionel Oisel, Étienne Mémin, Luce Morin:
Geometric Driven Optical Flow Estimation and Segmentation for 3D Reconstruction. ECCV (2) 2000: 849-863 - [c10]Thomas Corpetti, Étienne Mémin, Patrick Pérez:
Estimating Fluid Optical Flow. ICPR 2000: 7045-7048
1990 – 1999
- 1999
- [c9]Étienne Mémin, Patrick Pérez:
Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields. ICCV 1999: 620-625 - [c8]Étienne Mémin, Patrick Pérez:
Dense/Parametric Estimation of Fluid Flows. ICIP (3) 1999: 732-736 - [c7]Pierre Hellier, Christian Barillot, Étienne Mémin, Patrick Pérez:
Medical Image Registration with Robust Multigrid Techniques. MICCAI 1999: 680-687 - 1998
- [j2]Étienne Mémin, Patrick Pérez:
Dense estimation and object-based segmentation of the optical flow with robust techniques. IEEE Trans. Image Process. 7(5): 703-719 (1998) - [c6]Étienne Mémin, Patrick Pérez:
Joint Estimation-Segmentation of Optic Flow. ECCV (2) 1998: 563-577 - [c5]Étienne Mémin, Patrick Pérez:
A Multigrid Approach for Hierarchical Motion Estimation. ICCV 1998: 933-938 - [c4]Lionel Oisel, Luce Morin, Étienne Mémin, Claude Labit:
Planar Facets Segmentation using a Multiresolution Dense Disparity Field Estimation. ICIP (2) 1998: 617-621 - 1996
- [c3]Patrick Piscaglia, Benoît Macq, Étienne Mémin, Patrick Pérez, Claude Labit:
Parallelized robust multiresolution motion estimation. ICIP (1) 1996: 945-948 - [c2]Étienne Mémin, Patrick Pérez:
Robust discontinuity-preserving model for estimating optical flow. ICPR 1996: 920-924 - 1995
- [j1]Étienne Mémin, Fabrice Heitz, François Charot:
Efficient Parallel Nonlinear Multigrid Algorithms for Low-Level Vision Applications. J. Parallel Distributed Comput. 29(1): 96-103 (1995) - 1994
- [c1]Étienne Mémin, Fabrice Heitz, François Charot:
Efficient parallel multigrid relaxation algorithms for Markov random field-based low-level vision applications. CVPR 1994: 644-648
Coauthor Index
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