Source: http://www.irisa.fr/prive/memin/publications.html
Timestamp: 2019-04-20 01:15:30+00:00

Document:
Benoît Pinier, Etienne Memin, Sylvain Laizet, Roger Lewandowski, A model under location uncertainty to predict the mean velocity in wall bounded flows, PDF .
S. Kadri-Harouna and E. Mémin, Stochastic representation of the Reynolds transport theorem: revisiting large-scale modeling, Comp. and Fluids, 156, pp.456-469, 2017 PDF .
T. Corpetti, V. Dubreuil, E. Mémin, O. Planchon, C. Thomas. Outils méthodologiques l'analyse d'images MSG : estimation du mouvement, suivi de masses nuageuses et détection de fronts. Revue Française de Photogrammétrie et de Télédétection, 2014.
A. Cuzol, J-L. Marchand, E. Mémin. Image data assimilation with filtering methods. Journal de la Société Française de Statistique, 2014.
P. Hellier, C. Barillot, E. Mémin, P. Pérez. Estimation robuse 3D d'un champ de déformation pour le recalage non-linéaire inter-sujet d'images cérébrales. Traitement du signal, 17(2):99-112, 2000.
E. Mémin, P. Pérez. Motion estimation and visual tracking. In Inverse problems in vision and 3D tomography, A. Mohammad-Djafari (ed.), Chap. 6, pp. 191-249, Digital signal and image processing, Wiley, December 2009.
E. Mémin, P. Pérez. Estimation de mouvement apparent et suivi visuel. In Problèmes Inverses en Imagerie et en Vision, A. Mohammad-Djafari (ed.), Vol. 1, Chap. 6, pp. 201-252, Traité IC2, Hermès, September 2009.
Pranav Chandramouli, Dominique Heitz, Etienne Mémin, Sylvain Laizet Analysis of Models Under Location Uncertainty within the Framework of Coarse Large Eddy Simulation (cLES)", The 16th European Turbulence Conference, Stockholm, SE, 2017.
V. Resseguier, E. Mémin, B. Chapron. Oceanic models under uncertainty. In CMG 2016 : 31st IUGG Conference on Mathematical Geophysics, Paris, 6-12 June 2016,.
V. Resseguier, E. Mémin, B. Chapron. Likely chaotic transitions of large-scale fluid flows using a stochastic transport model. In 9th Chaos Modeling and Simulation International Conference (CHAOS2016), London, 23-26 May 2016,.
V. Resseguier, E. Mémin, B. Chapron. Stochastic Reynolds theorem and generalized subgrid tensor . In 15th European Turbulence Conference, Delft, Netherlands. August 2015.
V. Resseguier, E. Mémin, B. Chapron. Stochastic fluid dynamics model and dimensional reduction. In 9th Int. Symp. on Turbulence and Shear Flow Phenomena, TSFP-9, Melbourne, Australia, June 2015.
S. Kadri Harouna, E. Mémin. Navier-Stokes simulation with f location uncertainty. In 8th Int. Symp. on Turbulence and Shear Flow Phenomena, TSFP-8, Poitiers, France, August 2013.
A. Gronskis, C. Robinson, D. Heitz, E. Mémin. A 4DVar PIV-data assimilation for flow spatio-temporal reconstruction. In 10TH INTERNATIONAL SYMPOSIUM ON PARTICLE IMAGE VELOCIMETRY - PIV13, Delft, The Netherlands, July 2013.
S. D. Mayor, P. Dérian, C. F. Mauzey, T. Henry, E. Mémin, M. Hamada, D. Scott. Two-component wind fields from scanning aerosol lidar and motion estimation algorithms. In WindPower 2013, Chicago IL, May 2013.
S. Gorthi, S. Beyou, E. Mémin. Analysis of SST Images by Weighted Ensemble Transform Kalman Filter. In IEEE Int. Geoscience and Remote sensing symposium (IGARSS'11), 2011.
S. Gorthi, S. Beyou, T. Corpetti, E. Mémin. Multiscale Weighted Ensemble Kalman Filter for Fluid Flow Estimation. In Scale Space Methods and Variational Methods (SSVM) in Computer Vision, 2011.
T. Corpetti, E. Mémin. Stochastic models for local optical flow estimation. In Scale Space and Variational Methods in Computer Vision, SSVM'11, 2011.
C. Avenel, E. Mémin, P. Pérez. Stochastic filtering of level sets for curve tracking. In International Conference on Pattern Recognition (ICPR'10), Istanbul, Turkey, 2010.
C. Avenel, E. Mémin, P. Pérez. Tracking levels representation driven by a stochastic dynamics. In 7th International Conference on Curves and Surfaces, Poster presentation, Avignon, France, June 2010.
P. Héas, D. Heitz, E. Mémin. Evidence of turbulence power laws from image data. In International Conference and Advanced School "Turbulent Mixing and Beyond", The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy, 2009.
C. Thomas, T. Corpetti, E. Mémin. Data Assimilation for Convective Cells Tracking in MSG images. In IEEE Int. Geoscience and Remote Sensing Symp, IGARSS '09, Cape Town, South Africa, 2009.
T. Corpetti, P. Héas, E. Mémin, N. Papadakis. Variational pressure image assimilation for atmospheric motion estimation. In Proc. Int. Geoscience and Remote Sensing Symp. (IGARSS'08), Volume 2, Pages 505-508, Boston, MA, July 2008.
P. Héas, E. Mémin. Optical-flow for 3D atmospheric motion estimation. In Proc. Int. Conf. on Computer Vision Theory and Applications (VISAPP'08), Volume 2, Pages 399-406, Funchal, Portugal, January 2008.
P. Héas, N. Papadakis, E. Mémin, A. Szantai. Motion estimation of 2D atmospheric layers from satellite image sequences. In 15th Satellite Meteorology and Oceanography Conf. of the American Meteorological Soc, Pages 1-8, Amsterdam, The Netherlands, September 2007.
N. Papadakis, P. Héas, E. Mémin. Motion estimation of 2D atmospheric layers with variational assimilation techniques. In 15th Satellite Meteorology and Oceanography Conf. of the American Meteorological Soc, Pages 1-8, Amsterdam, The Netherlands, September 2007.
T. Corpetti, N. Papadakis, E. Mémin. Dense estimation of motion fields on Meteosat Second Generation images using a dynamical consistency. In IEEE Int. Geoscience and Remote Sensing Symp.(IGARSS'07), Pages 4749-4752, Barcelona, Spain, July 2007.
N. Papadakis, E. Mémin, T. Corpetti. Variational estimation of 2D time consistent dense motion from image sequence. In Proc. Eur. Geoscience Union, Nonlinear Processes in Geophysics, Data Assimilation in the Presence of Nonlinearities, Vienna, Austria, April 2007.
R. Sosa, E. Arnaud, E. Mémin, G. Artana. Schlieren image velocimetry applied to EHD flows. In Int. Symposium on Electrohydrodynamics, Pages 1-4, Buenos-Aires, Argentina, 2006.
A. Szantai, P. Héas, E. Mémin. Comparison of atmospheric motion vectors and dense vector fields calculated from MSG images. In Proc. Int. Winds Workshop, Beijing, China, April 2006.
E. Arnaud, B. Fauvet, E. Mémin, P. Bouthemy. A robust and automatic face tracker dedicated to broadcast videos. In Proc. Int. Conf. on Image Processing (ICIP'05), Genova, Italy, 2005.
A. Cuzol, E. Mémin. Vortex and source particles for fluid motion estimation. In 5th Int. Conf. on Scale-Space and PDE methods in Computer Vision (Scale-Space'05), Hofgeismar, Germany, Volume 3459, Pages 254-266, Hofgeismar, Germany, 2005.
J. Yuan, P. Ruhnau, E. Mémin, C. Schnörr. Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. In 5th Int. Conf. on Scale-Space and PDE methods in Computer Vision (Scale-Space'05), Hofgeismar, Germany, Volume 3459, Pages 267-278, Hofgeismar, Germany, 2005.
N. Papadakis, E. Mémin, F. Cao. A variational approach for object contour tracking. In Proc. ICCV'05 Workshop on Variational, Geometric and Level Set Methods in Computer Vision, Pages 259-270, Beijing, China, October 2005.
E. Arnaud, E. Mémin. An efficient Rao-Blackwellised particle filter for object tracking. In Proc. Int. Conf. on Image Processing (ICIP'05), Genova, Italy, September 2005.
D. Heitz, J. Carlier, E. Mémin. Fluid dedicated Optical-flow scheme. In PIVChallenge 05, Pasadena, USA, September 2005.
A. Cuzol, P. Hellier, E. Mémin. A novel parametric method for non-rigid image registration. In Proc. Information Processing in Medical Imaging (IPMI'05), G. Christensen, M. Sonka (eds.), LNCS, Pages 456-467, Glenwood Springes, Colorado, USA, July 2005.
T. Corpetti, D. Heitz, G. Arroyo, E. Mémin, A. Santa Cruz. Estimation of motion using a PIV correlation-based method and an optical-flow one for two experimental flows: quantitative and qulitative comparison. In 12th International symposium Applications of laser techniques to fluid mechanics, Lisbon, Portugal, 2004.
E. Arnaud, E. Mémin, B. Cernushi Frias. A robust stochastic filter for point tracking in image sequences. In Asian Conference on Computer Vision (ACCV'04), Jeju Island, Korea, January 2004.
T. Kohlberger, E. Mémin, C. Schnörr. Variational dense motion estimation using a DIV-CURL higher order regularization. In Int. Symp. on Signal Processing and Its Applications, ISSPA'03, Paris, France, 2003.
T. Corpetti, E. Mémin, A. Santa-Cruz, D. Heitz, G. Arroyo. Optical flow estimation in experimental fluid mechanics. In Seventh Int. Symp. on Signal Processing and its Applications, ISSPA'03, Paris, France, July 2003.
T. Kohlberger, E. Mémin, C. Schnörr. Variational dense motion estimation using the Helmholtz decomposition. In Scale Space 03, L.D. Griffin, M. Lillholm (eds.), Lecture notes in computer science, Volume 2695, Pages 432-448, Isle of Skye, UK, June 2003.
T. Corpetti, E. Mémin, P. Pérez. Estimating fluid optical flow. In IAPR Int. Conf. on Pattern Recognition, ICPR 2000, Volume 3, Pages 1045-1049, Barcelone, Espagne, September 2000.
T. Corpetti, E. Mémin, P. Pérez. Adaptation of standard optic methods to fluid motion. In Int. Symposium on Flow Visualization, paper 62, Pages 1-10, Edinburgh, Scotland, August 2000.
L. Oisel, E. Mémin, L. Morin. Geometric Driven Optical Flow Estimation and Segmentation for 3D Reconstruction. In European Conference on Computer Vision, ECCV 2000, LNCS 1843, Volume 2, Pages 849-863, Dublin, Irland, June 2000.
C. Papin, P. Bouthemy, E. Mémin, G. Rochard. Tracking and Characterization of Highly Deformable Cloud Structures. In European Conference on Computer Vision, ECCV 2000, LNCS 1843, Volume 2, Pages 428-442, Dublin, Irland, June 2000.
A. Szantai, F. Desalmand, M. Desbois, P. Lecomte, E. Mémin, S. Zimeras. Tracking low-level clouds over Central Africa on Meteosat image. In 2000 EUMETSAT Meteorological Satellite Data Users' Conference, Pages 813-820, Bologna, Italy, May 2000.
E. Mémin, P. Pérez. Dense/parametric estimation of fluid flows. In IEEE Int. Conf. on Image Processing, ICIP'99, Kobe, Japan, October 1999.
P. Hellier, C. Barillot, E. Mémin, P. Pérez. Medical image registration with robust multigrid techniques. In Proc. of the 2nd Int. Conf. on Medical Image Computing and Computer-Assisted Intervention, MICCAI, C. Taylor, A. Colchester (eds.), Lecture Notes in Computer Science, Volume 1679, Pages 680-687, September 1999.
L. Oisel, L. Morin, E. Mémin, C. Labit. Planar facets segmentation using a multiresolution dense disparity field estimation. In Int. Conf. on Image Processing (ICIP'98), Volume 2, Pages 617-621, Chicago, Illinois, October 1998.
L. Oisel, E. Mémin, L. Morin, C. Labit. Epipolar constrained motion estimation for reconstruction from video sequences. In Spie Conf. on Visual Communications and Image Processing, VCIP, Volume 3309, San-Jose, California, January 1998.
P. Piscaglia, B. Macq, E. Mémin, P. Pérez, L. Labit. Parallelized robust multiresollution motion estimation. In Proc. 3rd IEEE Int. Conf. Image Processing, Lausanne, Switzerland, September 1996.
E. Mémin, P. Pérez. Robust discontinuity-preserving model for estimating optical flow. In Proc. 13th Int. Conf. Pattern Recognition, ICPR96, Vienna, Austria, August 1996.
E. Mémin, F. Heitz, F. Charot. Efficient parallel multigrid relaxation algorithms for MRF-based low level vision applications. In IEEE Conf. Computer Vision and Pattern Recognition, Seattle, Washington, June 1994.
E. Mémin, F. Charot, F. Heitz. Parallel architecture for multiscale Markov Random Field-based image analysis. In Computer Architecture for Machine Perception (CAMP'91), B. Zavidovique, P.L. Wendel (eds.), Pages 309-320, Paris, France, December 1991.
F. Heitz, E. Mémin, P. Bouthemy. Markov Random Fields and Parallel Algorithms for 2D Motion Analysis. In Imacs World Congress on Computation and Applied Mathematics, Dublin, Ireland, January 1991.
E. Mémin. Stochastic transport to track closed curves through image data. In Classical and Modern Results in Nonlinear Filtering and Applications, Imperial College London, November 2018, GB.
V. Resseguier, E. Mémin, B. Chapron . Uncertainty quantification and ensemble forecast in coarse-grid or dimensionally-reduced computational fluid dynamics, In ECCM - ECFD 2018 - 6th European Conference on Computational Mechanics - 7th European Conference on Computational Fluid Dynamics. Glasgow, GB.
E. Mémin. Stochastic transport for large-scale fluid flow dynamics representation. In Particle methods and data assimilation, Imperial College London, May 2018, GB.
E. Mémin. Stochastic geophysical flow representation. Center for Earth System Research and Sustainability, Hamburg, December 2017, Ger.
E. Mémin. Stochastic geophysical flow representation. Mathematics for planet earth, Imperial College London, November 2017, GB.
E. Mémin. Stochastic geophysical flow representation. Comodo workshop, Grenoble, December 2017, Fr.
E. Mémin. Fluid dynamics under uncertainty. In Labex CIMI - Trimestre EDP & Probabilités, Toulouse, France, January 2014.
E. Mémin. Fluid flow analysis from image sequences. In Labex CIMI - Trimestre EDP & Probabilités, Toulouse, France, January 2014.
E. Mémin. Fluid dynamics under uncertainty. In workshop "2D to 3D Ocean Dynamics from Space" Ifremer, Brest, France, 2013.
E. Mémin. Assimilation d'images satellites océaniques: filtrage stochastique et définition de dynamiques adaptées. In Colloque Gretsi de traitment du signal et des images, Brest, France, 2013.
E. Mémin. Fluid flow velocity measurements from image sequences. In 51st AIAA Aerospace Sciences Meeting, 2013.
E. Mémin. In Seminar LFD-FIUBA, Buenos Aires, Argentina, November 2012.
E. Mémin. In Workshop on Tolopology in Fluid flow visualization, Pisa, Italy, June 2012.
E. Mémin. In "Conf'luences" IMFT, Toulouse, France, April 2012.
E. Mémin. Filtrage particulaire pour l'analyse d'écoulements à partir de séquence d'images. In Journée thématique LEFE "Assimilation et incertitudes", ENS Paris, Paris, France, February 2012.
R. Tatsambon Fomena, C. Collewet, E. Mémin. A New approach for Fluid Flows control. In Symposium on Advances in Control of Fluid Dynamics and Challenges facing the US Defense Department's thrust on Unmanned Autonomous Systems for the SIAM Conference on Control and Its Applications, Baltimore, USA, July 2011.
E. Mémin. In Séminaire LIMSI Analyse d'écoulements fluides à partir d'images, Paris, France, May 2011.
E. Mémin. In Séminaire Météo-France Filtrage et assimilation de données images, Toulouse, France, May 2010.
E. Mémin. Analyse d'écoulements fluides à partir d'images. In Séminaire ENSPS Strasbourg, Strasbourg, France, February 2010.
E. Mémin. Méthodes variationnelles pour l'analyse d'écoulements fluides à partir d'images. In Séminaire en l'honneur de F.-X. Le Dimet, Grenoble, France, March 2009.
Pranav Chandramouli, Dominique Heitz, Etienne Mémin, Sylvain Laizet A Comparative Study of LES Models Under Location Uncertainty, Congrès Français de Mécanique, Lille, 2017.
R. Schuster, D. Heitz, E. Mémin, A. Guibert, P. Loisel, Modèle d'observation stochastique pour la mesure du mouvement grand champ, 23ième Congrès Français de Mécanique, Lille, 2017.
S. Beyou, A. Cuzol, S. Gorthi, E. Mémin. Assimilation de température de surface par filtre de Kalman de transformation d'ensemble pondéré. In XXIII colloque GRETSI, 2011.
N. Papadakis, E. Mémin. Estimation variationnelle et cohérente en temps de mouvements fluides. In Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA'08), Pages 1-8, Amiens, January 2008.
N. Papadakis, E. Mémin, J. D'adamo, G. Artana. Assimilation variationelle de systèmes dynamiques d'ordre faible. In 3e Congrès national de mathématiques appliquées et industrielles (SMAI 2007), Grenoble, France, June 2007.
N. Papadakis, A. Cuzol, E. Mémin. Suivi du mouvement fluide: approche stochastique et variationnelle. In Proc. Journées AUM/AFM, Pages 117-122, La Rochelle, September 2006.
A. Cuzol, E. Mémin. Suivi de mouvement fluide par filtrage stochastique. In Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA'06), Pages 1-8, Tours, January 2006.
N. Papadakis, E. Mémin. Une approche variationelle pour le suivi de contours. In Proc. Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA'06), Pages 1-8, Tours, January 2006.
E. Arnaud, E. Mémin, B. Cernushi Frias. Filtrage conditionnel pour la trajectographie dans des séquences d'images - Application au suivi de points. In 14ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle (RFIA'04), Toulouse, France, January 2004.
T. Corpetti, E. Mémin, P. Pérez. Régularisation Div-Curl et Équation de Continuité pour l'Estimation du Mouvement Fluide. In 13ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle, RFIA 2002, Volume 3, Pages 887-898, Angers, France, January 2002.
T. Corpetti, E. Mémin, P. Pérez. Estimation dense du mouvement en imagerie fluide. In 9ème colloque francophone de visualisation et de traitement d'images en mécanique des fluides, FLUVISU'2001, Rouen, June 2001.
C. Papin, P. Bouthemy, E. Mémin. Suivi de l'activité convective de cellules nuageuses dans des séquences d'images satellitaires. In 12ème Congrès Reconnaissance des Formes et Intelligence Artificielle, RFIA'2000, Volume 1, Pages 369-378, Paris, February 2000.
P. Hellier, C. Barillot, E. Mémin, P. Pérez. Recalage d'images cérébrales par estimation robuste contextuelle du flot optique. In 17eme Colloque Gretsi sur le traitement du signal et des images, Volume 4, Pages 1077-1080, Vannes, September 1999.
E. Mémin, P. Pérez. Estimation conjointe de champs de vitesse denses et paramétriques pour des écoulement fluides. In 17eme Colloque Gretsi sur le traitement du signal et des images, Volume 2, Pages 247-250, Vannes, September 1999.
L. Oisel, L. Morin, E. Mémin, C. Labit. Reconstruction 3D de scènes complexes par maillage de cartes de disparité. In 17eme Colloque Gretsi sur le traitement du signal et des images, Volume 2, Pages 391-394, Vannes, September 1999.
E. Mémin, P. Pérez. Champ de Markov multirésolution et algorithme multigrille pour l'estimation du mouvement. In Proc. 15ème Colloque GRETSI, Juan-les-Pins, France, September 1995.
E. Mémin, F. Heitz, F. Charot. Algorithmes parallèles pour les champs markoviens multiéchelles: spécification et mise en oeuvre sur une architecture SIMD. In 14ème congrès Gretsi, Juan-les-Pins, France, September 1993.
E. Mémin, F. Heitz. Parallélisation des algorithmes d'analyse d'images par champs markoviens dans un contexte pyramidal. In 13ème congrès Gretsi, Juan-les-Pins, France, September 1991.
A. Cuzol, E. Mémin. Image assimilation with the weighted ensemble Kalman filter. 9th International Workshop on Adjoint Model Applications in Dynamic Meteorolog, Cefalu, Sicily, Italy, October 2011.
D. Heitz, P. Héas, J. Carlier, T. Corpetti, N. Papadakis, E. Mémin. Estimation du flot optique dans les écoulements turbulents. GdR Turbulence "Couplage modèle donnés", Cemagref, Rennes, France, 2008.
P. Héas, D. Heitz, E. Mémin. Cascade d'énergie comme a priori pour l'estimation du flot optique. GdR Turbulence "Couplage modèle donnés", Cemagref, Rennes, France, 2008.
C. Tilmant, L. Sarry, Th. Corpetti, P. Motrefi, E. Geoffroy, J.-R. Lusson, E. Mémin, J.-Y. Boire. Suivi d'objets pour l'analyse du mouvement en imagerie ultrasonore. Congrès Jeunes Chercheurs en Vision par Ordinateur (ORASIS'05), Fournols, France, May 2005.
E. Arnaud, E. Mémin, B. Cernushi Frias. Filtrage conditionnel pour le suivi de points dans des séquences d'images. Congrès Francophone de Vision par Ordinateur, ORASIS'03, pp. 211-220, Gerardmer, France, May 2003.
T. Corpetti, E. Mémin, P. Pérez. Estimation de mouvement fluide basée sur l'équation de continuité associée à une régularisation Div-Curl. Actes des journées francophones des jeunes chercheurs en analyse d'images et perception visuelle, ORASIS'2001, pp. 481-490, Cahors, June 2001.
F. Desalmand, M. Desbois, P. Leconte, A. Szantai, E. Mémin, P. Pérez, S. Zimeras. Calculation of low level winds over land. February 2000.
P. Hellier, C. Barillot, E. Mémin, P. Pérez. Recalage d'images cérébrales par estimation robuste contextuelle du flot optique. ORASIS'99, Actes des journées francophones des jeunes chercheurs en analyse d'images et perception visuelle, pp. 85-91, Aussois, France, April 1999.
C. Papin, P. Bouthemy, E. Mémin, G. Rochard. Détection, suivi et caractérisation des nuages convectifs à partir d'images satellitaires. ORASIS'99, Actes des journées francophones des jeunes chercheurs en analyse d'images et perception visuelle, pp. 51-60, Aussois, France, April 1999.
E. Mémin. Estimation du flot optique : contribution et panorama de différentes approches. Habilitation à diriger des recherches Université de Rennes 1, July 2003.
E. Mémin. Algorithmes et architectures parallèles pour les approches markoviennes en analyse d'images. PhD Thesis Université de Rennes 1, Informatique, June 1993.
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