Publications of Etienne Mémin

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Academic Journals

1. E. Mémin. Fluid flow dynamics under location uncertainty. Geophysical & Astrophysical Fluid Dynamics, in press, 2014.
2. A. Gronskis, D. Heitz, E. Mémin. Inflow and initial conditions for direct numerical simulation based on adjoint data assimilation. Journ. Comp. Phys, 242(6):480-497, 2013.
3. A. Cammilleri, F. Gueniat, J. Carlier, L. Pastur, E. Mémin, F. Lusseyran, G. Artana. POD-Spectral Decomposition for Fluid Flow Analysis and Model Reduction. Theor. and Comp. Fluid Dyn, 27:787-815, 2013.
4. P. Héas, C. Herzet, E. Mémin, D. Heitz, P.D. Mininni. Bayesian estimation of turbulent motion. IEEE transactions on Pattern Analysis And Machine Learning, 35(6):1343-1356, 2013.
5. C. Avenel, E. Mémin, P. Pérez. Stochastic level set dynamics to track closed curves through image data. Journ of Math. Imaging and Vision, September 2013.
6. S. Kadri Harouna, P. Dérian, P. Héas, E. Mémin. Divergence-free Wavelets and High Order Regularization. International Journal of Computer Vision, 103(1):80-99, May 2013.
7. P. Dérian, P. Héas, C. Herzet, E. Mémin. Wavelets and Optical Flow Motion Estimation. Numerical Mathematics: Theory, Methods and Applications, 6(1):116-137, January 2013.
8. S. Beyou, T. Corpetti, S. Gorthi, E. Mémin. Fluid flow estimation with multiscale ensemble filters based on motion measurements under location uncertainty. Numerical Mathematics: Theory, Methods and Applications, 6(1):21-46, January 2013.
9. S. Beyou, A. Cuzol, S. Gorthi, E. Mémin. Weighted Ensemble Transform Kalman Filter for Image Assimilation. Tellus A, 65(18803), January 2013.
10. P. Héas, E. Mémin, D. Heitz, P. Mininni. Power laws and inverse motion modeling: application to turbulence measurements from satellite images. Tellus Series A: Dynamic Meteorology and Oceanography, 64(10962), 2012.
11. P. Héas, C. Herzet, E. Mémin. Bayesian inference of models and hyper-parameters for robust optic-flow estimation. IEEE Trans on Image processing, 21(4):1437-1451, 2012.
12. G. Artana, A. Cammilleri, J. Carlier, E. Mémin. Strong and weak constraint variational assimilation for reduced order fluid flow modeling. Journ. of Comp. Physics, 213(8):3264-3288, April 2012.
13. T. Corpetti, E. Mémin. Stochastic uncertainty models for the luminance consistency assumption. IEEE Transaction on Image Processing, 21(2):481-493, January 2012.
14. D. Heitz, E. Mémin, C. Schnörr. Variational fluid flow measurements from image sequences: synopsis and perspectives. Exp. Fluids, 48(3):369-393, 2010.
15. N. Papadakis, E. Mémin, A. Cuzol, N. Gengembre. Data assimilation with the Weighted Ensemble Kalman Filter. Tellus-A, 62(5):673-697, 2010.
16. C. Thomas, T. Corpetti, E. Mémin. Data assimilation for convective cells tracking on meteorological image sequences. IEEE Trans. on Geoscience and Remote sensing, 2010.
17. T. Corpetti, P. Héas, E. Mémin, N. Papadakis. Pressure image assimilation for atmospheric motion estimation. Tellus Series A: Dynamic Meteorology and Oceanography, 61(1):160-178, 2009.
18. R. Sosa, E. Arnaud, E. Mémin, G. Artana. Study of the Flow Induced by a Sliding Discharge. IEEE Trans. on Dielectrics and Electrical Insulation, 16:305-311, 2009.
19. A. Cuzol, E. Mémin. A stochastic filtering technique for fluid flows velocity fields tracking. IEEE Trans. on Pattern Analysis and Machine Intelligence, 31(7):1278-1293, 2009.

Academic Journals (National audience)

1. 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.
2. A. Cuzol, J-L. Marchand, E. Mémin. Image data assimilation with filtering methods. Journal de la Société Française de Statistique, 2014.
3. P. Héas, D. Heitz, E. Mémin. La turbulence par l'image. La Recherche, 444, September 2010.

Book Chapters

1. 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.
2. 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.

International Conferences

1. 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.
2. I. Barbu, C. Herzet, C, E. Mémin. Joint Estimation of Volume and Velocity in TomoPIV. In 10TH INTERNATIONAL SYMPOSIUM ON PARTICLE IMAGE VELOCIMETRY - PIV13, Delft, The Netherlands, July 2013.
3. 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.
4. 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.
5. 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.
6. 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.
7. T. Corpetti, E. Mémin. Stochastic models for local optical flow estimation. In Scale Space and Variational Methods in Computer Vision, SSVM'11, 2011.
8. B. Combès, A. Guibert, E. Mémin, D. Heitz. Free-surface flows from Kinect: feasability and limits. In FVR2011, Poitiers, France, December 2011.
9. I. Barbu, C. Herzet, E. Mémin. Sparse models and pursuit algorithms for PIV Tomography. In Forum on recent developments in Volume Reconstruction techniques applied to 3D fluid and solid mechanics, Poitiers, France, November 2011.
10. P. Dérian, P. Héas, C. Herzet, E. Mémin. Wavelets to reconstruct turbulence multifractals from experimental image sequences. In 7th Int. Symp. on Turbulence and Shear Flow Phenomena, TSFP-7, Ottawa, Canada, July 2011.
11. A. Gronskis, D. Heitz, E. Mémin. Inflow and initial conditions for direct numerical simulation based on adjoint data assimilation. In 7th Int. Symp. on Turbulence and Shear Flow Phenomena, TSFP-7, Ottawa, Canada, July 2011.
12. P. Héas, C. Herzet, E. Mémin. Robust optic-flow estimation with Bayesian inference of model and hyper-parameters. In Proc. Conf. Scale-Space and Variational Meth. (SSVM'11), Israel, June 2011.
13. P. Dérian, P. Héas, C. Herzet, E. Mémin. Wavelet-based fluid motion estimation. In Scale Space Methods and Variational Methods (SSVM) in Computer Vision, Israel, June 2011.
14. 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.
15. P. Dérian, P. Héas, E. Mémin, S. Mayor. Dense motion estimation from eye-safe aerosol lidar data. In International Laser Radar Conference, ILRC, St Petersbourg, Russia, 2010.
16. S.D. Mayor, C. Chico, P. Dérian, P. Héas, E. Mémin. Two-component horizontal motion vectors from scanning eye-safe aerosol lidar. In 19th Symposium on Boundary Layers and Turbulence, Poster presentation, Keystone, USA, August 2010.
17. 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.
18. 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.
19. 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.
20. P. Héas, E. Mémin, D. Heitz, P.D. Mininni. Bayesian selection of scaling laws for motion modeling in images. In International Conference on Computer Vision (ICCV'09), Kyoto, Japan, October 2009.
21. P. Héas, D. Heitz, E. Mémin. Multiscale regularization based on turbulent kinetic energy decay for PIV estimations with high spatial resolution. In 8th Int. Symposium on Particle Image Velocimetry (PIV09), Melbourne, Australia, August 2009.
22. P. Héas, E. Mémin. Inference on Gibbs optic flow prior : application to atmospheric turbulence. In Proc. Conf. IEEE International geoscience and remote sensing symposium (IGARSS'09), Cap Town, South Africa, July 2009.
23. C. Avenel, E. Mémin, P. Pérez. Tracking closed curves with non-linear stochastic filters. In Conf. on Scale Space and Variational Methods (SSVM'09), Voss, Norway, June 2009.

Invited Conferences

1. E. Mémin. Fluid dynamics under uncertainty. In Labex CIMI - Trimestre EDP & Probabilités, Toulouse, France, January 2014.
2. E. Mémin. Fluid flow analysis from image sequences. In Labex CIMI - Trimestre EDP & Probabilités, Toulouse, France, January 2014.
3. E. Mémin. Fluid dynamics under uncertainty. In workshop "2D to 3D Ocean Dynamics from Space" Ifremer, Brest, France, 2013.
4. 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.
5. E. Mémin. Fluid flow velocity measurements from image sequences. In 51st AIAA Aerospace Sciences Meeting, 2013.
6. E. Mémin. In Seminar LFD-FIUBA, Buenos Aires, Argentina, November 2012.
7. E. Mémin. In Workshop on Tolopology in Fluid flow visualization, Pisa, Italy, June 2012.
8. E. Mémin. In "Conf'luences" IMFT, Toulouse, France, April 2012.
9. 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.
10. 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.
11. E. Mémin. In Séminaire LIMSI Analyse d'écoulements fluides à partir d'images, Paris, France, May 2011.
12. E. Mémin. In Séminaire Météo-France Filtrage et assimilation de données images, Toulouse, France, May 2010.
13. E. Mémin. Analyse d'écoulements fluides à partir d'images. In Séminaire ENSPS Strasbourg, Strasbourg, France, February 2010.
14. 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.

National Conferences

1. I. Barbu, C. Herzet, C, E. Mémin. Estimation 3D jointe des volumes et des vitesses pour la Tomographie PIV. In 15ème Congres Français de Visualisation et de Traitement d'Images en Mécanique des Fluides, Orléans, France, November 2013.
2. 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.
3. D. Heitz, P. Héas, E. Mémin. Apport des modèles de lois de puissance pour l'estimation du mouvement turbulent en PIV. In 20ème congrès français de mécanique, Besançon, France, 2011.
4. I. Barbu, C. Herzet, E. Mémin. Représentation et algorithmes parcimonieux pour la Tomographie PIV. In 14ème Congres Français de Visualisation et de Traitement d'Images en Mécanique des Fluides, Lille, France, November 2011.
5. V. Souchaud, C. Herzet, E. Mémin. Construction d'une base de type POD à partir d'une séquence d'images. In GRETSI, Bordeaux, France, September 2011.
6. J. Carlier, N. Papadakis, E Mémin. Assimilation variationnelle de données dans un système dynamique d'ordre réduit. In 19ème Congrès Français de Mécanique, Marseille, France, 2009.

Research Reports

1. P. Dérian, P. Héas, C. Herzet, E. Mémin. Wavelet Expansion and High-order Regularization for Multiscale Fluid-motion Estimation. Research Report INRIA, No 7348, 2010.
2. P. Héas, E. Mémin, D. Heitz, P.D. Mininni. Turbulence power laws and inverse motion modeling in images. Research Report INRIA, 2009.

Misc

1. 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.

Last update Wed Jun 13 15:14:46 2018

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