Étienne Mémin

According to our database1, Étienne Mémin authored at least 85 papers between 1994 and 2023.

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

Timeline

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Bibliography

2023
Comparison of Stochastic Parametrization Schemes using Data Assimilation on Triad Models.
CoRR, 2023

2022
Ensemble forecasts in reproducing kernel Hilbert space family: dynamical systems in Wonderland.
CoRR, 2022

Level set based particle filter driven by optical flow: an application to track the salt boundary from X-ray CT time-series.
CoRR, 2022

2021
Quantifying Truncation-Related Uncertainties in Unsteady Fluid Dynamics Reduced Order Models.
SIAM/ASA J. Uncertain. Quantification, 2021

Rotating shallow water flow under location uncertainty with a structure-preserving discretization.
CoRR, 2021

2020
4D large scale variational data assimilation of a turbulent flow with a dynamics error model.
J. Comput. Phys., 2020

Learning Variational Data Assimilation Models and Solvers.
CoRR, 2020

2018
Sea Surface Flow Estimation via Ensemble-based Variational Data Assimilation.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Application of optical flow for river velocimetry.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

2014
Stochastic Level Set Dynamics to Track Closed Curves Through Image Data.
J. Math. Imaging Vis., 2014

2013
Bayesian Estimation of Turbulent Motion.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Inflow and initial conditions for direct numerical simulation based on adjoint data assimilation.
J. Comput. Phys., 2013

Divergence-Free Wavelets and High Order Regularization.
Int. J. Comput. Vis., 2013

2012
Bayesian Inference of Models and Hyperparameters for Robust Optical-Flow Estimation.
IEEE Trans. Image Process., 2012

Stochastic Uncertainty Models for the Luminance Consistency Assumption.
IEEE Trans. Image Process., 2012

Strong and weak constraint variational assimilations for reduced order fluid flow modeling.
J. Comput. Phys., 2012

2011
Robust Optic-Flow Estimation with Bayesian Inference of Model and Hyper-parameters.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Multiscale Weighted Ensemble Kalman Filter for Fluid Flow Estimation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Wavelet-Based Fluid Motion Estimation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Stochastic Models for Local Optical Flow Estimation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Analysis of SST images by weighted Ensemble Transform Kalman Filter.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010
Data Assimilation for Convective-Cell Tracking on Meteorological Image Sequences.
IEEE Trans. Geosci. Remote. Sens., 2010

Stochastic Filtering of Level Sets for Curve Tracking.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Tracking Level Set Representation Driven by a Stochastic Dynamics.
Proceedings of the Curves and Surfaces, 2010

2009
A Stochastic Filtering Technique for Fluid Flow Velocity Fields Tracking.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Tracking Closed Curves with Non-linear Stochastic Filters.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Data Assimilation for Convective Cells Tracking in MSG Images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Inference on Gibbs Optic-flow Priors : Application to Atmospheric Turbulence Characterization.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Bayesian selection of scaling laws for motion modeling in images.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
Three-Dimensional Motion Estimation of Atmospheric Layers From Image Sequences.
IEEE Trans. Geosci. Remote. Sens., 2008

Variational Assimilation of Fluid Motion from Image Sequence.
SIAM J. Imaging Sci., 2008

A Variational Technique for Time Consistent Tracking of Curves and Motion.
J. Math. Imaging Vis., 2008

Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods.
Int. J. Comput. Vis., 2008

Optical-Flow for 3D Atmospheric Motion Estimation.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Variational Pressure Image Assimilation for Atmospheric Motion Estimation.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Hybrid tracking approach using optical flow and pose estimation.
Proceedings of the International Conference on Image Processing, 2008

2007
Layered Estimation of Atmospheric Mesoscale Dynamics From Satellite Imagery.
IEEE Trans. Geosci. Remote. Sens., 2007

Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation.
J. Math. Imaging Vis., 2007

A Low Dimensional Fluid Motion Estimator.
Int. J. Comput. Vis., 2007

A Variational Framework for Spatio-temporal Smoothing of Fluid Motions.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Dense estimation of motion fields on meteosat second generation images using a dynamical consistency.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Variational optimal control technique for the tracking of deformable objects.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Dynamically consistent optical flow estimation.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Image Assimilation for Motion Estimation of Atmospheric Layers with Shallow-Water Model.
Proceedings of the Computer Vision, 2007

2006
Dense Estimation of Layer Motions in the Atmosphere.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

A Fluid Motion Estimator for Schlieren Image Velocimetry.
Proceedings of the Computer Vision, 2006

2005
Conditional filters for image sequence-based tracking - application to point tracking.
IEEE Trans. Image Process., 2005

A Variational Approach for Object Contour Tracking.
Proceedings of the Variational, 2005

Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

Vortex and Source Particles for Fluid Motion Estimation.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

A Novel Parametric Method for Non-rigid Image Registration.
Proceedings of the Information Processing in Medical Imaging, 2005

An efficient Rao-Blackwellized particle filter for object tracking.
Proceedings of the 2005 International Conference on Image Processing, 2005

A robust and automatic face tracker dedicated to broadcast videos.
Proceedings of the 2005 International Conference on Image Processing, 2005

A Stochastic Filter for Fluid Motion Tracking.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004
Optimal Importance Sampling for Tracking in Image Sequences: Application to Point Tracking.
Proceedings of the Computer Vision, 2004

A Course to Fine Multiscale Approach for Linear Least Squares Optical Flow Estimation.
Proceedings of the British Machine Vision Conference, 2004

2003
One-dimensional dense disparity estimation for three-dimensional reconstruction.
IEEE Trans. Image Process., 2003

Extraction of Singular Points from Dense Motion Fields: An Analytic Approach.
J. Math. Imaging Vis., 2003

Robust Multiscale Deformable Registration of 3D Ultrasound Images.
Int. J. Image Graph., 2003

Variational Dense Motion Estimation Using the Helmholtz Decomposition.
Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

Variational dense motion estimation using a div-curl high-order regularization.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Optical flow estimation in experimental fluid mechanics.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

2002
Dense Estimation of Fluid Flows.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

Hierarchical Estimation and Segmentation of Dense Motion Fields.
Int. J. Comput. Vis., 2002

Dense Motion Analysis in Fluid Imagery.
Proceedings of the Computer Vision, 2002

2001
Hierarchical Estimation of a Dense Deformation Field for 3D Robust Registration.
IEEE Trans. Medical Imaging, 2001

VLSI Design Methodology for Edge-Preserving Image Reconstruction.
Real Time Imaging, 2001

2000
On the Study of VLSI Derivation for Optical Flow Estimation.
Int. J. Pattern Recognit. Artif. Intell., 2000

Estimating Fluid Optical Flow.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Tracking and Characterization of Highly Deformable Cloud Structures.
Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000

Geometric Driven Optical Flow Estimation and Segmentation for 3D Reconstruction.
Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000

An Energy-Based Framework for Dense 3D Registration of Volumetric Brain Images.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999
Medical Image Registration with Robust Multigrid Techniques.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999

Dense/Parametric Estimation of Fluid Flows.
Proceedings of the 1999 International Conference on Image Processing, 1999

Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields.
Proceedings of the International Conference on Computer Vision, 1999

1998
Dense estimation and object-based segmentation of the optical flow with robust techniques.
IEEE Trans. Image Process., 1998

Planar Facets Segmentation using a Multiresolution Dense Disparity Field Estimation.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

A Multigrid Approach for Hierarchical Motion Estimation.
Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

Joint Estimation-Segmentation of Optic Flow.
Proceedings of the Computer Vision, 1998

1996
Robust discontinuity-preserving model for estimating optical flow.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Parallelized robust multiresolution motion estimation.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1995
Efficient Parallel Nonlinear Multigrid Algorithms for Low-Level Vision Applications.
J. Parallel Distributed Comput., 1995

1994
Efficient parallel multigrid relaxation algorithms for Markov random field-based low-level vision applications.
Proceedings of the Conference on Computer Vision and Pattern Recognition, 1994


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