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[1]
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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.
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[2]
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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.
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[3]
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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.
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[4]
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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.
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[5]
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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 ]
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[6]
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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 ]
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[7]
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D. Béréziat and I. Herlin.
Coupling dynamic equations and satellite images for modelling ocean
surface circulation.
In Computer Vision Imaging and Computer Graphics Theory and
Application, volume 550 of Communication in Computer and Information
Science, pages 191--205. Springer, 2015.
https://hal.inria.fr/hal-01245369.
[ DOI ]
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[8]
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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 ]
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[9]
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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 ]
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[10]
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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.
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[11]
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A. El Abed, S. Dubuisson, and D. Béréziat.
Communications in computer and information science.
volume 21, chapter Energy Association Filter for Online Data
Association with Missing Data, pages 244--257. Springer, 2008.
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[12]
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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.
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[13]
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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.
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[14]
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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.
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[15]
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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.
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[16]
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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.
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[1]
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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.
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[2]
|
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/.
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[3]
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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), 2024.
Accepted for publication.
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[4]
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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.
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[5]
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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.
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[6]
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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/.
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[7]
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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.
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[8]
|
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.
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[9]
|
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.
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[10]
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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.
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[11]
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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.
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[12]
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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.
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[13]
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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.
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[14]
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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.
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[15]
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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.
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[16]
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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.
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[17]
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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.
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[18]
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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.
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[19]
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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.
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[20]
|
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.
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[21]
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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.
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[22]
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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.
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[23]
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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.
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[24]
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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.
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[25]
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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.
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[26]
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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.
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[27]
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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.
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[28]
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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.
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[29]
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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.
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[30]
|
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.
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[31]
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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 ]
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[32]
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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 ]
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[33]
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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.
|
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[34]
|
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.
|
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[35]
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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.
|
|
[36]
|
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.
|
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[37]
|
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.
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[38]
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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.
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[39]
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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.
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[40]
|
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.
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[41]
|
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.
|
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[42]
|
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.
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[43]
|
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.
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[44]
|
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.
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[45]
|
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.
|
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[46]
|
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.
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[47]
|
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.
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[48]
|
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.
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[49]
|
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.
|
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[50]
|
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.
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[51]
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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.
|
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[52]
|
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.
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[53]
|
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.
|
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[54]
|
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.
|
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[55]
|
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.
|
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[56]
|
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 ]
|
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[57]
|
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.
|