Publications 1997-2026

• 2026
  • G. Balbontín, A. Charantonis, D. Béréziat, S. Ciavatta : “Surface Conditioning for Zero-Shot Multivariate Correction in a Marine Biogeochemistry Emulator”, NeurIPS workshop Sim2sci 2026, Paris, France (2026)
  • A. Delefosse, M. Tavernier, J. Keisler, A. Charantonis, D. Béréziat : “MUNDO: Temporal Downscaling by Recursive Conditional Sampling”, NeurIPS 2026 workshop TCCML, Sidney, Australia (2026)
  • G. Balbontín, A. Charantonis, D. Béréziat, S. Ciavatta : “Predicting Marine Biogeochemistry from Structured Representational Priors”, NeurIPS 2026 - 40^th Conference on Neural Information Processing Systems / 2^nd workshop on Representation Learning for Earth Observation (REO), Sydney, Australia (2026)
  • A. Delefosse, A. Charantonis, D. Béréziat : “Super-Resolving Coarse-Resolution Weather Forecasts with Flow Matching”, Climate Informatics 2026 - 15^th International Conference on Climate Informatics, Lausanne, Switzerland (2026)
  • M. Bosc, A. Chan‑Hon‑Tong, A. Bouchard, D. Béréziat : “Predicting thunderstorm risk probability at very short time range using deep learning”, Natural Hazards and Earth System Sciences, vol. 26 (3), pp. 1603-1619, (Copernicus Publ. / European Geosciences Union) (2026)
  • P. Garcia, Th. Archambault, D. Béréziat, A. Charantonis : “GloFM: a GLORYS Flow-Matching emulator for spatio-temporal ocean data assimilation”, VISAPP 2026 - 21^st International Conference on Computer Vision Theory and Applications, Marbella, Spain (2026)
  • D. Drozdov, P. Garcia, D. Béréziat, A. Charantonis : “Inpainting of sparse tracks image satellite using Plug and Play and learned prior”, VISAPP 2026 - International Conference on Computer Vision Theory and Applications, Marbella, Spain (2026)
• 2025
  • P. Garcia, I. Larroche, A. Pesnec, H. Bull, Th. Archambault, E. Moschos, A. Stegner, A. Charantonis, D. Béréziat : “ORCAst: Operational High-Resolution Current Forecasts”, Artificial Intelligence for the Earth Systems, vol. 4 (4), pp. e250002, (American Meteorological Society) (2025)
  • M. Bosc, A. Chan‑Hon‑Tong, A. Bouchard, D. Béréziat : “StrikeNet: A Deep Neural Network to predict pixel-sized lightning location”, Proceedings of the 20^th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2025), vol. Volume 3: VISAPP, Porto, Portugal, pp. 299-306, (SCITEPRESS – Science and Technology Publications,), (ISBN: 978-989-758-728-3) (2025)
• 2024
  • P. Garcia, Th. Archambault, H. Bull, A. Charantonis, D. Béréziat : “Transfer-learning and data fusion for forecasting ocean surface currents”, RFIAP 2024, Lille, France (2024)
  • Th. Archambault, A. Filoche, A. Charantonis, D. Béréziat : “Pre-training and Fine-tuning Attention Based Encoder Decoder Improves Sea Surface Height Multi-variate Inpainting”, VISAPP 2024 - 19^th International Conference on Computer Vision Theory and Applications, Roma, Italy (2024)
  • Th. Archambault, P. Garcia, A. Charantonis, D. Béréziat : “Deep Sea Surface Height Multivariate Interpolation”, European Geosciences Union General Assembly 2024 (EGU24), Vienne, Austria (2024)
  • Th. Archambault, A. Filoche, A. Charantonis, D. Béréziat, S. Thiria : “Learning Sea Surface Height Interpolation from Multi-variate Simulated Satellite Observations”, Journal of Advances in Modeling Earth Systems, vol. 16 (6), pp. e2023ms004047, (American Geophysical Union) (2024)
• 2023
  • A. Filoche, J. Brajard, A. Charantonis, D. Béréziat : “Learning 4DVAR inversion directly from observations”, Workshop on Machine Learning and Data Assimilation for Dynamical Systems (MLDADS), International Conference on Computational Science (ICCS), Prague, Czechia (2023)
  • S. Thiria, Ch. Sorror, Th. Archambault, A. Charantonis, D. Béréziat, C. Mejia, J.‑M. Molines, M. Crépon : “Downscaling of ocean fields by fusion of heterogeneous observations using Deep Learning algorithms”, Ocean Modelling, vol. 182, pp. 102174, (Elsevier) (2023)
  • Th. Archambault, A. Filoche, A. Charantonis, D. Béréziat : “Multimodal Unsupervised Spatio-Temporal Interpolation of satellite ocean altimetry maps”, Proceedings of the 18^th International Conference on Computer Vision Theory and Applications, Lisboa, Portugal (2023)
• 2022
  • A. Filoche, Th. Archambault, A. Charantonis, D. Béréziat : “Statistics-free interpolation of ocean observations with deep spatio-temporal prior”, ECML/PKDD Workshop on Machine Learning for Earth Observation and Prediction (MACLEAN), Grenoble, France (2022)
  • A. Filoche, D. Béréziat : “Simultaneous Assimilation and Downscaling of Simulated Sea Surface Heights with Deep Image Prior”, RFIAP (Congrès Reconnaissance des Formes, Image, Apprentissage et Perception), Vannes, France (2022)
  • A. Filoche, D. Béréziat, A. Charantonis : “Deep prior in variational assimilation to estimate ocean circulation without explicit regularization”, Climate Informatics, Asheville, NC, United States (2022)
  • Th. Archambault, A. Charantonis, D. Béréziat, C. Mejia, S. Thiria : “SSH Super-Resolution using high resolution SST with a Subpixel Convolutional Residual Network”, Climate Informatics, Asheville, NC, United States (2022)
  • Th. Archambault, A. Filoche, A. Charantonis, D. Béréziat : “Unlearned Downscaling of sea surface height with Deep Image Prior”, IA for Earth Sciences Workshop The International Conference on Learning Representations (ICLR), Virtual conference, United States (2022)
• 2021
  • A. Filoche, D. Béréziat, J. Brajard, A. Charantonis : “Variational assimilation of Geophysical images leveraging deep learning tools”, ORASIS 2021, Saint Ferréol, France (2021)
  • V. Bouget, D. Béréziat, J. Brajard, A. Charantonis, A. Filoche : “Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Nowcasting”, Remote Sensing, vol. 13 (2), pp. 246, (MDPI) (2021)
• 2020
  • A. Filoche, J. Brajard, A. Charantonis, D. Béréziat : “Completing physics-based models by learning hidden dynamics through data assimilation”, NeurIPS 2020, workshop AI4Earth, Vancouver (virtual), Canada (2020)
• 2019
  • A. Zébiri, D. Béréziat, E. Huot, I. Herlin, E. Buisson : “Prévision multi-échelles des précipitations”, GRETSI 2019 - XXVIIème Colloque francophone de traitement du signal et des images, Lille, France, pp. 4 p. (2019)
  • A. Zébiri, D. Béréziat, E. Huot, I. Herlin : “Rain Nowcasting from Multiscale Radar Images”, VISAPP 2019 - 14^th International Conference on Computer Vision Theory and Applications, Prague, Czechia, pp. 1-9 (2019)
• 2018
  • E. Huot, D. Béréziat, A. Zébiri : “Prévision de la pluie à court terme par assimilation d’images radar”, Colloque scientifique international «Observation et prévision des pluies, impacts sur les crues», Tunis, Tunisia (2018)
  • D. Béréziat, I. Herlin : “Motion and Acceleration from Image Assimilation with evolution models”, Digital Signal Processing, vol. 83, pp. 45-58, (Elsevier) (2018)
• 2017
  • D. Béréziat, I. Herlin, Y. Lepoittevin : “Ensemble Kalman Filter based on the image structures”, International Conference on Computer Vision Theory and Applications, Porto, Portugal (2017)
• 2015
  • Y. Lepoittevin, I. Herlin, D. Béréziat : “An Image-Based Ensemble Kalman Filter for Motion Estimation”, Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP), vol. 3, Berlin, Germany, pp. 437-445 (2015)
  • D. Béréziat, I. Herlin : “Coupling dynamic equations and satellite images for modelling ocean surface circulation”, Communications in Computer and Information Science, vol. 550, pp. 191-205, (Springer Verlag) (2015)
• 2014
  • D. Béréziat, I. Herlin : “Image-based modelling of ocean surface circulation from satellite acquisitions”, VISAPP - International Conference on Computer Vision Theory and Applications, Lisbon, Portugal, pp. 288-295, (ScitePress) (2014)
• 2013
  • Ch. Avenel, P. Fortin, D. Béréziat : “Parallel birth and death process for cell nuclei extraction in histopathology images”, ICPP 2013 - 42^nd International Conference on Parallel Processing, Lyon, France, pp. 429-438, (IEEE) (2013)
  • Y. Lepoittevin, I. Herlin, D. Béréziat : “Object’s tracking by advection of a distance map”, ICIP - IEEE International Conference on Image Processing, Melbourne, Australia, pp. 3612-3616, (IEEE) (2013)
  • Y. Lepoittevin, I. Herlin, D. Béréziat : “Assimilation de données pour estimer le mouvement et suivre un objet”, ORASIS - Journées francophones des jeunes chercheurs en vision par ordinateur, Cluny, France (2013)
  • Y. Lepoittevin, D. Béréziat, I. Herlin, N. Mercier : “Continuous tracking of structures from an image sequence”, VISAPP - 8^th International Conference on Computer Vision Theory and Applications, Barcelone, Spain, pp. 386-389, (Springer Verlag) (2013)
  • Y. Lepoittevin, I. Herlin, D. Béréziat : “Continuous tracking of structures from an image sequence”, GDRE ConEDP Meeting 2013 - Modeling and control of systems: applications to nano-sciences, environment and energy, Grenoble, France (2013)
• 2012
  • I. Herlin, D. Béréziat, N. Mercier, S. Zhuk : “Divergence-Free Motion Estimation”, ECCV 2012 - European Conference on Computer Vision, vol. 7575, Lecture Notes in Computer Science, Florence, Italy, pp. 15-27, (Springer) (2012)
  • D. Béréziat, I. Herlin : “Non Linear Observation Equation For Motion Estimation”, ICIP - IEEE International Conference on Image Processing, Orlando, United States, pp. 1521-1524 (2012)
  • I. Herlin, D. Béréziat, E. Huot : “Image Assimilation and Motion Estimation of Geophysical Fluids”, International Environmental Modelling and Software Society (iEMSs) 2012 International Congress on Environmental Modelling and SoftwareManaging Resources of a Limited Planet: Pathways and Visions under Uncertainty, Leipzig, Germany, pp. 2325-2332, (iEMSs) (2012)
  • A. El Abed, S. Dubuisson, D. Béréziat : “Spatio-temporal target-measure association using an adaptive geometrical approach”, Pattern Recognition Letters, vol. 33 (6), pp. 765-774, (Elsevier) (2012)
  • I. Herlin, D. Béréziat, N. Mercier : “Improvement of motion estimation by assessing the errors on the evolution equation”, VISAPP 2012 : International Conference on Computer Vision Theory and Applications, vol. 2, Rome, Italy, pp. 235-240 (2012)
  • J. Fabrizio, S. Dubuisson, D. Béréziat : “Motion compensation based on Tangent Distance prediction for video compression”, Signal Processing: Image Communication, vol. 27 (2), pp. 153-171, (Elsevier) (2012)
• 2011
  • I. Herlin, D. Béréziat, K. Drifi : “Learning reduced models for motion estimation on ocean satellite images”, Hydrodynamic modeling of the Black Sea Dynamics, Sevastopol, Ukraine (2011)
  • D. Béréziat, I. Herlin : “Solving ill-posed Image Processing problems using Data Assimilation”, Numerical Algorithms, vol. 56 (2), pp. 219-252, (Springer Verlag) (2011)
  • I. Herlin, D. Béréziat, N. Mercier : “Recovering missing data on satellite images”, SCIA 2011 - Scandinavian Conference on Image Analysis, vol. 6688, Lecture Notes in Computer Science, Ystad Saltsjöbad, Sweden, pp. 697-707, (Springer Verlag) (2011)
• 2010
  • D. Béreziat : “Contributions aux méthodes variationnelles pour le calcul du flot optique: prise en compte des informations spatiales et temporelles”, habilitation à diriger des recherches, soutenance 24/11/2010 (2010)
  • I. Herlin, D. Béréziat, N. Mercier : “Strategies for processing images with 4D-Var data assimilation methods”, 23 pages pages (2010)
  • D. Béréziat, I. Herlin : “Using models of dynamics for large displacement estimation on noisy acquisitions”, 18 pages (2010)
  • W. Rekik, D. Béréziat, S. Dubuisson : “Recovering 3D+t scenes from 3D and 2D+t data by motion compensation and using a prior surface model.”, (2010)
• 2009
  • D. Béréziat, I. Herlin : “Solving Ill-posed Problems Using Data Assimilation. Application to optical flow estimation”, VISAPP - International Conference on Computer Vision Theory and Applications, vol. 2, Lisboa, Portugal, pp. 594-602, (INSTICC Press) (2009)
  • R. Teina, D. Béréziat, B. Stoll, S. Chabrier : “A comparative study of several supervised classifiers for coconut palm trees fields’ type mapping on 80 cm RGB pansharpened Ikonos images”, Image Processing Machine Vision Applications II, vol. 7251, Proceedings of SPIE, San Jose, United States (2009)
  • A. El Abed, S. Dubuisson, D. Béréziat : “Energy Association Filter for Online Data Association with Missing Data”, chapter in Computer Vision and Computer Graphics. Theory and Applications, vol. 21, Communications in Computer and Information Science, pp. 244-257, (Springer), (ISBN: 978-3-540-89681-4) (2009)
  • D. Béréziat, I. Herlin : “Solving ill-posed Image Processing problems using Data Assimilation”, 33 pages (2009)
• 2008
  • W. Rekik, D. Béréziat, S. Dubuisson : “Fusion de données spatiales (3D) et temporelles (2D+t) pour la reconstruction de scènes 3D+t : deux approches”, (2008)
  • R. Teina, D. Béréziat, B. Stoll : “A spatial Poisson Point Process to classify coconut fields on Ikonos pansharpened images”, SPIE Asia Pacific Remote Sensing, vol. 7149, Proceedings of SPIE, Nouméa, New Caledonia, pp. 71491^e (2008)
  • R. Teina, D. Béréziat, B. Stoll, S. Chabrier : “Toward a Global Tuamotu Archipelago Coconut Trees Sensing Using High Resolution Optical Data”, IGARSS - IEEE International Geoscience and Remote Sensing Symposium, vol. II, Boston, United States, pp. 797-800 (2008)
  • D. Béréziat, I. Herlin : “Calcul du flot optique par assimilation variationnelle de données”, RFIA - Congrès de Reconnaissance des Formes et Intelligence Artificielle, Amiens, France, pp. 341-350 (2008)
  • D. Béréziat, I. Herlin : “Solving ill-posed Image Processing problems using Data Assimilation. Application to optical flow”, 15 pages (2008)
• 2007
  • R. Teina, D. Béréziat, B. Stoll : “Etude de la cocoteraie de Tikehau sur des images Ikonos”, MajecSTIC - MAnifestation des JEunes Chercheurs en Sciences et Technologies de l'Information et de la Communication, Caen, France, pp. 265-269 (2007)
  • A. El Abed, S. Dubuisson, D. Béréziat : “Energetic Particle Filter for Online Multiple Target Tracking”, ICIP 2007 - 14^th IEEE International Conference on Image Processing, vol. 1, San Antonio, Texas, United States, pp. 493-496 (2007)
  • A. El Abed, S. Dubuisson, D. Béréziat : “Association spatio-temporelle avec données manquantes par minimisation d’énergie”, GRETSI, Groupe d'Etudes du Traitement du Signal et des Images, Troyes, France, pp. 65-68 (2007)
  • A. El Abed, S. Dubuisson, D. Béréziat : “ENMIM: Energetic Normalized Mutual Information Model for Online Multiple Object Tracking with Unlearned Motions”, ACIVS 2007 - 9^th International Conference on Advanced Concepts for Intelligent Vision Systems, vol. 4678, Lecture Notes in Computer Science, Delft, Netherlands, pp. 955-967, (Springer Verlag) (2007)
  • W. Rekik, D. Béréziat, S. Dubuisson : “3D+t Reconstruction in the Context of Locally Spheric Shaped Data Observation”, CAIP 2007 - 12^th International Conference on Computer Analysis of Images and Patterns, vol. 4673, Lecture Notes in Computer Science, Vienna, Austria, pp. 482-489, (Springer Verlag) (2007)
  • A. El Abed, S. Dubuisson, D. Béréziat : “Multimodal Data Fusion for Tracking Unlearned Motions”, International Workshop on New Directions in Monte Carlo Methods, Fleurance, France, pp. 1-10 (2007)
  • A. El Abed, S. Dubuisson, D. Béréziat : “Energy minimization approach for online data association with missing data”, VISAPP 2007 - 2^nd International Conference on Computer Vision Theory and Applications, Barcelone, Spain, pp. 371-378, (Springer Verlag) (2007)
• 2006
  • A. El Abed, S. Dubuisson, D. Béréziat : “Comparison of Statistical and Shape-Based Approaches for Non-Rigid Motion Tracking with Missing Data using a Particle Filter”, Advanced Concepts for Intelligent Vision Systems (ACIVS), vol. 4179, Lecture Notes in Computer Science, Antwerp, Belgium, pp. 185-196, (Springer) (2006)
  • W. Rekik, D. Béréziat, S. Dubuisson : “Optical flow computation and visualization in spherical context. Application on 3D+t bio-cellular sequences”, 28^th IEEE EMBS Annual International Conference, New-York, United States, pp. 1645-1648, (IEEE) (2006)
  • W. Rekik, D. Béréziat, S. Dubuisson : “Image processing in spheric-shaped data using a geographical transformation. Application to bio-cellular imaging.”, IEEE International Symposium on Biomedical Imaging (ISBI), Arlington, United States, pp. 1256-1259, (IEEE) (2006)
• 2005
  • W. Rekik, D. Béréziat, S. Dubuisson : “MAPVIS: A Map-projection based tool for Visualizing scalar and vectorial information lying on spheroidal surfaces”, IV 2005 - 9^th International Conference on Information Visualisation, London, United Kingdom, pp. 636-641, (IEEE) (2005)
• 2004
  • W. Rekik, D. Béréziat, S. Dubuisson, N. Puff : “Tracking of non-rigid structures evolving on 3D surfaces by compensating perspective view deformations”, IASTED International Conference on Signal and Image Processing, SIP 2004, Honolulu, Hawaii, United States, pp. 1-4 (2004)
• 2003
  • W. Rekik, D. Béréziat, S. Dubuisson : “Suivi de structures évoluant sur une surface tridimensionnelle”, Journée d'étude sur les méthodes pour les signaux complexes en traitement d'image, Inria-Rocquencourt, France, pp. 159-165 (2003)
• 2001
  • J. Grazzini, D. Béréziat, I. Herlin : “Analysis of cloudy structures evolution on meteorological satellite acquisitions”, International Conference on Image Processing, vol. 3, Thessaloniki, Greece, pp. 760-763 (2001)
  • J. Grazzini, D. Béréziat, I. Herlin : “Analyse de l’évolution des structures nuageuses dans des séquences d’images satellitaires météorologiques”, ORASIS, Cahors, France (2001)
• 2000
  • D. Béréziat, J.‑P. Berroir : “Motion Estimation on Meteorological Infrared Data using a Total Brightness Invariance Hypothesis”, Environnement Modeling System, vol. 15 (6-7), pp. 513-519, (ISBN: 1364-8152) (2000)
  • H. Yahia, J.‑P. Berroir, I. Cohen, D. Béréziat, S. Bouzidi, I. Herlin : “Traitement d’images de séquences de données océanographiques”, Océanis, Edition de l'Institut Océanographique (2000)
  • D. Béréziat, I. Herlin, L. Younes : “A Generalized Optical Flow Constraint and its Physical Interpretation”, Proceedings of Computer Vision and Pattern Recognition, Hilton Head Island, USA, pp. 487-492 (2000)
  • D. Béréziat, I. Herlin : “Object Based Optical Flow Estimation with an Affine Prior Model”, Proceedings of International Conference on Pattern Recognition, Barcelona, Spain, pp. 1060-1063 (2000)
• 1999
  • D. Béréziat, I. Herlin, L. Younes : “Motion Estimation Using a Volume Conservation Hypothesis”, International Conference on Accoustic, Speech and Signal Processing, ICASSP'99, Phoenix (1999)
  • D. Béréziat : “Détection et suivi de structures déformables en mouvement, application à la météorologie”, thèse, soutenance 14/10/1999, direction de recherche Younes, Laurent, co-encadrement : Cohen, Laurent, Heitz, Fabrice (1999)
• 1998
  • H. Yahia, D. Béréziat, J.‑P. Berroir, S. Bouzidi, I. Cohen, I. Herlin : “Land use and wind estimation as inputs for air pollution modelling”, ERCIM NEWS (1998)
  • I. Herlin, I. Cohen, D. Béréziat : “Wind Estimation by Image Processing for Air Pollution Modeling”, System Analysis Modeling Simulation, SAMS, pp. 57-66 (1998)
  • D. Béréziat, J.‑P. Berroir : “Cloud cover estimation for air quality models using meteorological sensors”, Third ERCIM Environmental Modelling Group Workshop, Madrid, Spain (1998)
  • E. Huot, I. Herlin, D. Béréziat : “Segmentation of Temporal Effects on Phasimetric SAR”, Proceedings of International Conference on Pattern Recognition, ICPR'98, Brisbane, Australia, pp. 1390-1392 (1998)
  • D. Béréziat, J.‑P. Berroir : “Use of image processing and remote sensing techniques to improve input data quality an collection”, International Conference on Air Pollution Modelling and Simulation APMS'98, Marne-La-Vallée, France, pp. 563-572 (1998)
• 1997
  • D. Béréziat, I. Herlin, L. Younes : “Méthode de détection de mouvement appliquées aux images météorologiques”, GRETSI'97, Grenoble, France, pp. 909-912 (1997)
  • D. Béréziat, I. Herlin, L. Younes : “Motion Detection In Meteorological Images Sequences: Two Methods And Their Comparison.”, SPIE'97, London, England, pp. 332-341 (1997)