Dominique Béréziat

Table of Contents

New

Resume

Research areas

Deep Learning with or without Data assimilation (2019-present)

  • Nowcast of lightning strikes
  • Forecast of ocean surface circulation
  • Nowcast of rain precipitation
  • Reconstruction of geophysic fields
  • Recover unknown dynamics

Assimilation of Images (2007-2019)

  • Segmentation and tracking using 4D-Var
  • Divergence-free motion estimation
  • Motion estimation with 4D-Var on long time windows
  • Motion estimation from dynamics errors
  • Non linear motion estimation with 4D-Var
  • Recover missing data from image sequence
  • Data assimilation to solve ill-posed image problems

Remote Sensing Imaging (2006-2009)

  • Segmentation of coconuts from high resolution satellite images
  • Characterization and classification of coconut fields

Biomedical image analysis (2001-2007)

  • 3D+t reconstructions from 3D image and 2D+t sequence
  • Objects tracking using multi-modal and missing data
  • Image processing on spherical surface

Teaching

Supervised students

PhD students

  • Pierre Garcia (supervision with Hannah Bull and Anastase Charatonis): Ocean data fusion for forecasting surface currents. PhD student, started in May 2024.
  • Mélanie Bosc (supervision with Adrien Chan-Hon-Tong and Aurélie Bouchard): Prévision du risque orageux à l'aide de réseaux de neurones. PhD student, started in October 2023.
  • Théo Archambault (supervision with Anastase Charantonis): Downscaling for oceanographic fluids. PhD graduate, defended on October 2024.
  • Arthur Filoche (supervision with Julien Brajard): Learning missing dynamics for data assimilation. PhD graduate, defended on November 2022.
  • Aniss Zebiri (supervision with Isabelle Herlin and Etienne Huot): Estimation of dynamics from multi scale image assimilation. Application to rain nowcasting from ground radar images. PhD graduate, defended on June 2020.
  • Raimana Teina: Image analysis from remote sensing acquisition in the Polynesian context/. PhD graduate. Defended in September 2009.
  • Yann Lepoittevin (supervision with Isabelle Herlin): Estimation of dynamics from observed structures in a sequence of images. PhD Graduate. Defended on December 2015.
  • Abir El Abed (supervision with Séverine Dubuisson): Merging multi-modal data, application to visual tracking. Phd graduate. Defended in September 2008.
  • Wafa Rekik (supervision with Séverine Dubuisson): Merging 2D+t and 3D data for recovering 3D+t data. Application to biological imaging. PhD graduate. Defended in February 2007.

Postgraduate students

  • Pierre Garcia (2023)
  • Hugo Riffaud de Turckhein (2023)
  • Jeehane Reboud (2022)
  • Aris Benslama (2022)
  • Vincent Bouget (2020)
  • Elodie Noele (2019)
  • Arthur Filoche (2019)
  • Houssen Ben Braiek (2017)
  • Haykel Snoussi (2015)
  • Said Dayabzeg (2014)
  • Marius Sokeng (2014)
  • Yann Lepoittevin (2012)
  • Jdey Imen (2009)
  • Sahar Syassi (2009)
  • Carlos Dantas De Almera (2008)
  • Masnoush Amiri (2006)
  • Olivier Mougin (2006)
  • Frédéric Tchéou (2005)
  • Teina Raimana (2005)
  • Richard Moulen (2004)
  • Wafa Rekik (2003)
  • Issam Elhattab (2003)
  • Kamel Haddadou (2002)
  • Jacoppo Grazzini (2001)

Publications

Articles in refereed journals

[1]
T. Archambault, A. Filoche, A. Charantonis, D. Béréziat, and S. Thiria. Learning sea surface height interpolation from multi-variate simulated satellite observations. Journal of Advances of Modelling Earth Systems, 16(6), June 2024. https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023MS004047.
[2]
S. Thiria, C. Sorror, T. Archambault, A. Charantonis, D. Béréziat, C. Mejia, J.-M. Molines, and M. Crépon. Downscaling of ocean fields by fusion of heteorogenous observations using deep learning algorithms. Ocean Modeling, 182, 2023. https://doi.org/10.1016/j.ocemod.2023.102174.
[3]
A. Filoche, D. Béréziat, and A. Charantonis. Deep prior in variational assimilation to estimate an ocean circulation without explicit regularization. Environmental Data Science, 2, January 2023. https://www.doi.org/10.1017/eds.2022.31.
[4]
T. Archambault, A. Charantonis, D. Béréziat, C. Meija, and S. Thiria. SSH super-resolution using high resolution sst with a subpixel convolutional residual network. Environmental Data Science, 1, December 2022. https://www.doi.org/10.1017/eds.2022.28.
[5]
V. Bouget, D. Béréziat, J. Brajard, A. Charantonis, and A. Filoche. Fusion of rain radar images and wind forecasts in a deep learning model applied to rain nowcasting. Remote Sensing, 13(2), January 2021. https://www.mdpi.com/2072-4292/13/2/246/htm. [ DOI ]
[6]
D. Béréziat and I. Herlin. Motion and acceleration from image assimilation with evolution models. Digital Signal Processing, 83:45--58, December 2018. https://www.sciencedirect.com/science/article/pii/S1051200418306729. [ DOI ]
[7]
A. El Abed, S. Dubuisson, and D. Béréziat. Spatio-temporal target-measure association using an adaptive geometrical approach. Pattern Recognition Letters, 33(765--774), 2012. http://www.sciencedirect.com/science/article/pii/S0167865511004089. [ DOI ]
[8]
J. Fabrizio, S. Dubuisson, and D. Béréziat. Motion compensation based on tangent distance prediction for video compression. Signal Processing: Image Communication, 27(2):153--171, February 2012. https://www.sciencedirect.com/science/article/pii/S0923596511001378. [ DOI ]
[9]
D. Béréziat and I. Herlin. Solving ill-posed image processing problems using data assimilation. Numerical Algorithms, 56(2):219--252, February 2011. https://hal.inria.fr/inria-00538510v1.
[10]
J.-P. Berroir and D. Béréziat. Cloud cover estimation for air quality models using meteorological sensors. System Analysis Modeling Simulation, (SAMS), 37(3):321--328, 2000. Special issue on air pollution modelling.
[11]
H. Yahia, J.-P. Berroir, I. Cohen, D. Béréziat, S. Bouzidi, and I. Herlin. Traitement d'images de séquences de données océanographiques. Océanis, Edition de l'Institut Océanographique, 2000.
[12]
D. Béréziat and J.-P. Berroir. Motion estimation on meteorological infrared data using a total brightness invariance hypothesis. Environnement Modeling System, 15(15):513--519, June 2000.
[13]
D. Béréziat, J.-P. Berroir, S. Bouzidi, I. Herlin, and H. Yahia. Land use and wind estimation as inputs for air pollution modelling. ERCIM NEWS, (34), 1998. Special Issue on Environmental Modelling.
[14]
I. Herlin, I. Cohen, and D. Béréziat. Wind estimation by image processing for air pollution modeling. System Analysis Modeling Simulation, (SAMS), 32:57--66, 1998.

Proceedings in conferences and workshops

[1]
M. Bosc, A. Chan Hon Tong, A. Bouchart, and D. Béréziat. Strikenet: A deep neural network to predict pixel-sized lightning location. In International Conference on Computer Vision Theory and Application (VISAPP), 2025. accepted to publication.
[2]
P. Garcia, A. Pesnec, H. Bull, I. Larroche, A. Charantonis, T. Archambault, and D. Béréziat. Orca: Operational high-resolution current forecasts with sst, chlorophyll, nadir and swot altimetry, and in-situ measurements from drifters. American Geosciences Union (AGU), 2024. https://agu.confex.com/agu/agu24/meetingapp.cgi/Paper/1670934.
[3]
P. Garcia, T. Archambault, H. Bull, A. Charantonis, and D. Béréziat. Transfer learning and data fusion for forecasting ocean surface currents. In Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), July 2024. Accepted for publication.
[4]
T. Archambault, P. Garcia, A. Charantonis, and D. Béréziat. Deep sea surface height multivariate interpolation. European Geosciences Union (EGU) General Assembly, April 2024.
[5]
A. Filoche and D. Béréziat. Full posterior estimation using the 4DVAR cost. In International Symposium on Data Assimilation (ISDA) - Online, Advancements in Variational Data Assimilation, page conference without proceedings, February 2024. https://isda-online.univie.ac.at/online-events/february-2024-advancements-in-variational-data-assimilation/.
[6]
T. Archambault, A. Filoche, A. Charantonis, and D. Béréziat. Pre-training and fine-tuning attention-based encoder-decoder improves sea surface height multi-variate inpainting. In International Conference on Computer Vision Theory and Application (VISAPP), Roma, February 2024. https://hal.sorbonne-universite.fr/hal-04475205.
[7]
A. Filoche, J. Brajard, A. Charantonis, and D. Béréziat. Learning 4DVAR inversion directly from observations. In International Conference on Computational Science (ICCS), volume 10476, pages 414--421, July 2023. https://arxiv.org/abs/2211.09741.
[8]
T. Archambault, A. Filoche, A. Charantonis, and D. Béréziat. Multimodal unsupervised spatio-temporal interpolation of satellite altimetry maps. In International Conference on Computer Vision Theory and Application (VISAPP), pages 1--8, Lisboa, February 2023. https://hal.sorbonne-universite.fr/hal-03934647.
[9]
A. Filoche and D. Béréziat. Error covariance free variational assimilation with deep prior. ECMWF-ESA Workshop on Machine Learning for Earth Observation and Prediction, November 2022. https://hal.sorbonne-universite.fr/hal-03765735.
[10]
A. Filoche, T. Archambault, A. Charantonis, and D. Béréziat. Statistics-free interpolation of ocean observations with deep spatio-temporal prior. In Workshop on Machine Learning for Earth Observation (MACLEAN), September 2022. https://ceur-ws.org/Vol-3343/.
[11]
A. Filoche and D. Béréziat. Simultaneous assimilation and downscaling of simulated sea surface heights with deep image prior. In Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), 2022. https://hal.sorbonne-universite.fr/hal-03682250.
[12]
A. Filoche, T. Archambault, D. Béréziat, and A. Charantonis. Unsupervised downscaling of sea surface height with deep image prior. In International Conference on Learning Representation (ICLR), Earth and Space Science Workshop, June 2022. https://ai4earthscience.github.io/iclr-2022-workshop/camera_ready/iclr_2022_ai4ess_09.pdf.
[13]
T. Archambault, A. Charantonis, D. Béréziat, C. Mejia, and S. Thiria. SSH Super-Resolution using high resolution SST with a Subpixel Convolutional Residual Network. In Climate Informatics, May 2022. Published in Environnemental Data Science.
[14]
A. Filoche, D. Béréziat, and A. Charantonis. Deep prior in variational assimilation to estimate ocean circulation without explicit regularization. In Climate Informatics, May 2022. Published in Environnemental Data Science.
[15]
A. Filoche, D. Béréziat, A. Charantonis, and J. Brajard. Variational assimilation of geophysical images leveraging deep learning tools. In Orasis, pages 1--7, September 2021. https://hal.sorbonne-universite.fr/hal-03277881.
[16]
A. Charantonis, V. Bouget, D. Béréziat, J. Brajard, and A. Filoche. Fusion of rain radar images and wind forecasts in a deep learning model applied to rain nowcasting. European Geosciences Union (EGU), 2021. https://doi.org/10.5194/egusphere-egu21-11990. [ DOI ]
[17]
A. Filoche, J. Brajard, A. Charantonis, and D. Béréziat. Completing physics-based models by learning hidden dynamics through data assimilation. In NeurIPS 2020, AI for Earth Sciences Workshop, pages 1--4, 2020. https://hal.sorbonne-universite.fr/hal-03004938.
[18]
V. Bouget, D. Béréziat, J. Brajard, A. Charantonis, and A. Filoche. Rain nowcasting using u-net neural networks. In International Conference on Climate Informatics, page conference without proceedings, September 2020.
[19]
A. Filoche, J. Brajard, A. Charantonis, and D. Béréziat. Learning missing part of physics-based models within a variational data assimilation scheme. In International Conference on Climate Informatics, page conference without proceedings, September 2020.
[20]
A. Filoche, J. Brajard, A. Charantonis, and D. Béréziat. Learning missing part of physics-based models within a variational data assimilation scheme. European Geosciences Union (EGU), May 2020. https://doi.org/10.5194/egusphere-egu2020-285. [ DOI ]
[21]
A. Zebiri, D. Béréziat, E. Huot, I. Herlin, and E. Buisson. Prévision multi-échelles des précipitations. In colloque Groupe Recherche et d'Étude en Traitement du Signal et de l'Image (GRETSI), pages 1--4, 2019. https://hal.sorbonne-universite.fr/hal-02164193, https://sites.google.com/view/gretsi2019.
[22]
A. Zebiri, D. Béréziat, E. Huot, and I. Herlin. Rain nowcasting from multiscale radar images. In International Conference on Computer Vision Theory and Application (VISAPP), 2019. https://hal.sorbonne-universite.fr/hal-02048500v1.
[23]
A. Zebiri, D. Béréziat, E. Huot, and I. Herlin. Rain nowcasting from multiscale radar images. poster in Radars: Technologies, Méthodologies et Applications. R-TMA-2018, December 2018. https://r-tma-2018.sciencesconf.org/.
[24]
E. Huot, E. Béréziat, and A. Zebiri. Prévision de la pluie à court terme par assimilation d'images radar. Colloque scientifique international «Observation et prévision des pluies, impacts sur les crues», communication sans acte., 2018. Tunis, Tunisia.
[25]
D. Béréziat, I. Herlin, and Y. Lepoittevin. Ensemble Kalman filter based on the image structures. In International Conference on Computer Vision Theory and Application (VISAPP), 2017. http://hal.upmc.fr/hal-01414786.
[26]
Y. Lepoittevin, Herlin I., and D. Béréziat. An image-based ensemble Kalman filter for motion estimation. In International Conference on Computer Vision Theory and Application (VISAPP), 2015. https://hal.inria.fr/hal-01095360.
[27]
D. Béréziat and I. Herlin. Image-based modelling of ocean surface circulation from satellite acquisitions. In International Conference on Computer Vision Theory and Application (VISAPP), pages 1--8, January 2014. Best Paper Award, http://hal.inria.fr/hal-00908791.
[28]
C. Avenel, P. Fortin, and D. Béréziat. Parallel birth and death process for cell nuclei extraction in histopathology images. In International Conference on Parallel Processing, pages 1--8, October 2013. http://hal.inria.fr/hal-00844001.
[29]
Y. Lepoittevin, I. Herlin, and D. Béréziat. Object's tracking by advection of a distance map. In International Conference on Image Processing (ICIP), pages 1--5, September 2013. http://hal.inria.fr/hal-00866230.
[30]
Y. Lepoittevin, I. Herlin, and D. Béréziat. Assimilation de données pour estimer le mouvement et suivre un objet. In Orasis, pages 1--7, juin 2013. http://hal.inria.fr/hal-00826841.
[31]
Y. Lepoittevin, D. Béréziat, I. Herlin, and N. Mercier. Continous tracking of structures from an image sequence. In International Conference on Computer Vision Theory and Application (VISAPP), pages 1--4, February 2013. http://hal.inria.fr/hal-00798176.
[32]
I. Herlin, D. Béréziat, N. Mercier, and S. Zhuk. Divergence-free motion estimation. In European Conference on Computer Vision (ECCV), pages 1--14, October 2012. http://hal.inria.fr/hal-00742021.
[33]
D. Béréziat and I. Herlin. Non linear observation equation for motion estimation. In International Conference on Image Processing (ICIP), pages 1--4, September 2012. http://hal.inria.fr/hal-00761332.
[34]
I. Herlin and D. Béréziat. Image assimilation and motion estimation of geophysical fluids. In 6th International Congress on Environmental Modelling and Software - iEMS 2012, pages 1--8, Leipzig, Germany, July 2012. http://hal.inria.fr/hal-00741977.
[35]
I. Herlin, D. Béréziat, and N. Mercier. Improvement of motion estimation by assessing the errors on the evolution equation. In International Conference on Computer Vision Theory and Application (VISAPP), volume 2, pages 235--240, February 2012. http://hal.inria.fr/hal-00677662.
[36]
I. Herlin, D. Béréziat, and K. Drifi. Learning reduced models for motion estimation on ocean satellite images. In Hydrodynamic modeling of the Back Sea Dynamics, pages 1--8, to appear, Sevastopol, Ukrain, September 2011. http://hal.inria.fr/hal-00646272.
[37]
I. Herlin, D. Béréziat, and N. Mercier. Recovering missing data on satellite images. In Scandinavian Conference on Image Analysis, (SCIA), pages 697--707, May 2011. http://hal.inria.fr/inria-00612328.
[38]
D. Béréziat and I. Herlin. Solving ill-posed problems using data assimilation. Application to optical flow estimation. In International Conference on Computer Vision Theory and Application (VISAPP), volume 2, pages 594--602, February 2009.
[39]
R. Teina, D. Béréziat, B. Stoll, and S. Chabrier. A comparative study of several supervised classifiers for coconut tree field's type mapping on 80 cm RGB pansharpened Ikonos images. In Image Processing: Machine Vision Applications II. Proceedings of SPIE, volume 7251, page 72510X (9 pages), San Jose (CA), January 2009. [ DOI ]
[40]
R. Teina, D. Béréziat, and B. Stoll. A spatial poisson process to classify coconut fields on Ikonos pansharpened images. In Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications II. Proceedings of SPIE, volume 7149, page 71491E (10 pages), Noumea (New Caledonia), November 2008. [ DOI ]
[41]
R. Teina, D. Béréziat, B. Stoll, and S. Chabrier. Toward a global Tuamotu Archipelago trees sensing using high resolution optical data. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), volume II, Boston (USA), July 2008.
[42]
D. Béréziat and I. Herlin. Calcul du flot optique par assimilation variationnelle de données. In Reconnaissance des Formes et Intelligence Artificielle (RFIA), pages 341--350, Amiens (France), 23--25 janvier 2008.
[43]
R. Teina, D. Béréziat, and B. Stoll. Étude de la cocoteraie de Tikehau sur des images Ikonos. In MajecSTIC, pages 265--269, Caen (France), 2007.
[44]
W. Rekik, D. Béréziat, and S. Dubuisson. 3D+t reconstruction in the context of locally spheric shaped data observation. In International Conference on Computer Analysis of Images and Patterns (CAIP), pages 482--489, Vienna (Austria), August 2007.
[45]
A. El Abed, S. Dubuisson, and D. Béréziat. ENMIM: Energetic normalized mutual information model for online multiple object tracking with unlearned motions. In Advanced Concepts for Intelligent Vision Systems (ACVIS), pages 955--967, Delft (the Netherlands), August 2007.
[46]
A. El Abed, S. Dubuisson, and D. Béréziat. Association spatio-temporelle avec données manquantes par minimisation d'énergie. In colloque Groupe Recherche et d'Étude en Traitement du Signal et de l'Image (GRETSI), pages 65--68, Troyes (France), September 2007.
[47]
A. El Abed, S. Dubuisson, and D. Béréziat. Energetic particle filter for online multiple target tracking. In International Conference on Image Processing (ICIP), pages 493--496, San Antonio, (USA), September 2007.
[48]
A. El Abed, S. Dubuisson, and D. Béréziat. Energy minimization approach for online data association with missing data. In International Conference on Computer Vision Theory and Application (VISAPP), pages 371--378, Barcelona (Spain), March 2007.
[49]
W. Rekik, D. Béréziat, and S. Dubuisson. Optical flow computation and visualization in spherical context. application on 3D+t bio-cellular sequences. In Engineering in Medicine and Biology Society (EMBS), pages 1645--1648, New-York (USA), September 2006. IEEE.
[50]
A. El Abed, S. Dubuisson, and D. Béréziat. Comparison of statistical and shape-based approaches for non-rigid motion tracking with missing data using a particle filter. In Advanced Concepts for Intelligent Vision Systems (ACVIS), pages 185--196, Antwerp (Belgium), September 2006.
[51]
W. Rekik, D. Béréziat, and S. Dubuisson. Image processing in spheric-shaped data using a geographical transformation. application to bio-cellular imaging. In International Symposium on Biomedical Imaging (ISBI), pages 1256--1259, Virginia (USA), April 2006. IEEE.
[52]
W. Rekik, D. Béréziat, and S. Dubuisson. MAPVIS: A map-projection based tool for visualizing scalar and vectorial information lying on spheroidal surfaces. In International Conference on Information Visualisation, pages 636--641, London (UK), July 2005. IEEE.
[53]
W. Rekik, D. Béréziat, S. Dubuisson, and N. Puff. Tracking of non-rigid structures evolving on 3D surfaces by compensating perspective view deformations. In IASTED International Conference on Signal and Image Processing, SIP 2004, Honolulu, (USA), August 2004.
[54]
W. Rekik, D. Béréziat, and S. Dubuisson. Suivi de structures évoluant sur une surface tridimensionnelle. In Journée d'étude sur les méthodes pour les signaux complexes en traitement d'image, pages 159--165, Inria-Rocquencourt (France), 9-10 décembre 2003.
[55]
J. Grazzini, D. Béréziat, and I. Herlin. Analyse de l'évolution des structures nuageuses dans des séquences d'images satellitaires météorologiques. In ORASIS, Cahors (France), June 2001.
[56]
J. Grazzini, D. Béréziat, and I. Herlin. Analysis of cloudy structures evolution on meteorological satellite acquisitions. In International Conference on Image Processing (ICIP), Thessaloniki (Greece), October 2001.
[57]
D. Béréziat and I. Herlin. Object based optical flow estimation with an affine prior model. In International Conference on Pattern Recognition, volume 3, pages 1060--1063, Barcelona (Spain), September 2000.
[58]
D. Béréziat, I. Herlin, and L. Younes. A generalized optical flow constraint and its physical interpretation. In Computer Vision and Pattern Recognition, pages 487--492, Hilton Head Island (USA), June 2000. IEEE.
[59]
D. Béréziat, I. Herlin, and L. Younes. Motion estimation using a volume conservation hypothesis. In International Conference on Accoustic, Speech and Signal Processing (ICASSP), Phoenix (USA), March 1999.
[60]
D. Béréziat and J.-P. Berroir. Use of image processing and remote sensing techniques to improve input data quality an collection. In International Conference on Air Pollution Modelling and Simulation (APMS), pages 563--572, Marne-La-Vallée (France), October 1998. Elsevier.
[61]
J.-P. Berroir and D. Béréziat. Cloud cover estimation for air quality models using meteorological sensors. In Third Issue on ERCIM Environmental Modelling Group Workshop, Madrid (Spain), April 1998.
[62]
E. Huot, I. Herlin, and D. Béréziat. Segmentation of temporal effects on phasimetric SAR images. In International Conference on Pattern Recognition, volume II, pages 1390--1392, Brisbane (Australia), August 1998.
[63]
D. Béréziat, I. Herlin, and L. Younes. Motion detection in meteorological images sequences: Two methods and their comparison. In Proceedings of SPIE'97, volume 3217, pages 332--341, London (UK), September 1997. [ DOI ]
[64]
D. Béréziat, I. Herlin, and L. Younes. Méthode de détection de mouvement appliquées aux images météorologiques. In colloque Groupe Recherche et d'Étude en Traitement du Signal et de l'Image (GRETSI), pages 909--912, Grenoble (France), September 1997.
[65]
D. Béréziat, I. L. Herlin, G. Giraudon, C. Nguyen, and C. Graffigne. Segmentation of echocardiographic images with markov random fields. In European Conference on Computer Vision (ECCV), volume 2, pages 201--206, Stockholm (Sweeden), May 1994.

Other

[1]
D. Béréziat, I. Herlin, and E. Huot. GHI forecasting. Technical report, EoCoE (Energy oriented center of excellence for computing applications), H2020-EINFRA-2015-1, September 2018. delivrable D2.9, https://www.eocoe.eu/wp-content/uploads/2019/03/d2.9-paper_on_ghi_forecasting.pdf.
[2]
D. Béréziat, I. Herlin, and E. Huot. GHI forecasts at local scale. Technical report, EoCoE (Energy oriented center of excellence for computing applications), H2020-EINFRA-2015-1, September 2018. delivrable D2.10, https://www.eocoe.eu/wp-content/uploads/2019/03/d2.10-ghi_forecasts_at_local_scale.pdf.
[3]
I. Herlin, D. Béréziat, and N. Mercier. Strategies for processing images with 4D-Var data assimilation methods. Research Report 7495, Institut National de Recherche en Informatique et Automatique (INRIA), December 2010. http://hal.archives-ouvertes.fr/inria-00546222/en/.
[4]
D. Béréziat and I. Herlin. Using model of dynamics for large displacement estimation on noisy acquisitions. Research Report 7408, Institut National de Recherche en Informatique et Automatique (INRIA), October 2010. http://hal.archives-ouvertes.fr/inria-00523625/en/.
[5]
W. Rekik, D. Béréziat, and S. Dubuisson. Recovering 3D+t scenes for 3D and 2D+t data by motion compensation using a prior surface model. Technical report, Laboratoire d'Informatique de Paris 6 (LIP6), August 2010. http://www.lip6.fr/lip6/reports/2008/lip6-2008-001.pdf.
[6]
D. Béréziat and I. Herlin. Solving ill-posed image processing problems using data assimilation. Research Report 6879, Institut National de Recherche en Informatique et Automatique (INRIA), March 2009. http://hal.inria.fr/inria-00368890/en/.
[7]
W. Rekik, D. Béréziat, and S. Dubuisson. Fusion de données spatiales (3D) et temporelles (2D+t) pour la reconstruction de scènes 3D+t : deux approches. Technical report, Laboratoire d'Informatique de Paris 6 (LIP6), June 2008. [ .pdf ]
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D. Béréziat and I. Herlin. Solving ill-posed image processing problems using data assimilation. Application to optical flow. Research Report 6477, INRIA, March 2008. https://hal.inria.fr/inria-00264661.
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D. Béréziat, I. L. Herlin, G. Giraudon, C. Nguyen, and C. Graffigne. Comparison of different Markov field model for segmenting echocardiographic images. Technical Report 2424, INRIA, 1994.

Author: Dominique Béréziat

Email: dominique.bereziat@lip6.fr

Created: 2025-01-20 Lun 21:13

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