Patrick Héas

41 papers A* 1C 2Misc 4Journal 24Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Reduced Multilevel Splitting.
Stat. Comput.
Frédéric Cérou, Patrick Héas, Mathias Rousset
2025 J jnl
Adaptive Reduced Tempering for Bayesian Inverse Problems and Rare Event Simulation.
SIAM/ASA J. Uncertain. Quantification
Frédéric Cérou, Patrick Héas, Mathias Rousset
2025 J jnl
Nonlinear Reduced Modeling of Dynamical Systems Using Kernel Methods and Low-Rank Approximation.
J. Nonlinear Sci.
Patrick Héas, Cédric Herzet, Benoît Combès
2023 J jnl
3D wind field profiles from hyperspectral sounders: revisiting optic-flow from a meteorological perspective.
CoRR
Patrick Héas, Olivier Hautecoeur, Régis Borde
2022 J jnl
Entropy minimizing distributions are worst-case optimal importance proposals.
CoRR
Frédéric Cérou, Patrick Héas, Mathias Rousset
2022 J jnl
Low-Rank Dynamic Mode Decomposition: An Exact and Tractable Solution.
J. Nonlinear Sci.
Patrick Héas, Cédric Herzet
2022 J jnl
Uncertainty of Atmospheric Motion Vectors by Sampling Tempered Posterior Distributions.
CoRR
Patrick Héas, Frédéric Cérou, Mathias Rousset
2021 J jnl
State-Of-The-Art Algorithms For Low-Rank Dynamic Mode Decomposition.
CoRR
Patrick Héas, Cédric Herzet
2020 Misc conf
Generalized Kernel-Based Dynamic Mode Decomposition.
ICASSP
Patrick Héas, Cédric Herzet, Benoît Combès
2020 J jnl
Generalized Kernel-Based Dynamic Mode Decomposition.
CoRR
Patrick Héas, Cédric Herzet, Benoît Combès
2020 J jnl
Selecting Reduced Models in the Cross-Entropy Method.
SIAM/ASA J. Uncertain. Quantification
Patrick Héas
2018 J jnl
Low-rank Approximation of Linear Maps.
CoRR
Patrick Héas, Cédric Herzet
2017 Misc conf
Optimal low-rank Dynamic Mode Decomposition.
ICASSP
Patrick Héas, Cédric Herzet
2016 J jnl
An Efficient Algorithm for Video Superresolution Based on a Sequential Model.
SIAM J. Imaging Sci.
Patrick Héas, Angélique Drémeau, Cédric Herzet
2016 J jnl
Low-rank Approximation and Dynamic Mode Decomposition.
CoRR
Patrick Héas, Cédric Herzet
2016 Misc conf
Reduced-order modeling of hidden dynamics.
ICASSP
Patrick Héas, Cédric Herzet
2015 J jnl
Estimation of Super-Resolved Video Dynamics.
CoRR
Patrick Héas, Angélique Drémeau, Cédric Herzet
2014 J jnl
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR
Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic
2014 J jnl
Self-Similar Prior and Wavelet Bases for Hidden Incompressible Turbulent Motion.
SIAM J. Imaging Sci.
Patrick Héas, Frédéric Lavancier, Souleymane Kadri Harouna
2014 Misc conf
Sparse representations in nested non-linear models.
ICASSP
Angélique Dremeau, Patrick Héas, Cédric Herzet
2013 J jnl
Bayesian Estimation of Turbulent Motion.
IEEE Trans. Pattern Anal. Mach. Intell.
Patrick Héas, Cédric Herzet, Étienne Mémin, Dominique Heitz, Pablo D. Mininni
2013 J jnl
Divergence-Free Wavelets and High Order Regularization.
Int. J. Comput. Vis.
Souleymane Kadri Harouna, Pierre Dérian, Patrick Héas, Étienne Mémin
2013 J jnl
Self-similar prior and wavelet bases for hidden incompressible turbulent motion
CoRR
Patrick Héas, Frédéric Lavancier, Souleymane Kadri Harouna
2012 J jnl
Bayesian Inference of Models and Hyperparameters for Robust Optical-Flow Estimation.
IEEE Trans. Image Process.
Patrick Héas, Cédric Herzet, Étienne Mémin
2011 — conf
Robust Optic-Flow Estimation with Bayesian Inference of Model and Hyper-parameters.
SSVM
Patrick Héas, Cédric Herzet, Étienne Mémin
2011 — conf
Wavelet-Based Fluid Motion Estimation.
SSVM
Pierre Dérian, Patrick Héas, Cédric Herzet, Étienne Mémin
2009 A* conf
Bayesian selection of scaling laws for motion modeling in images.
ICCV
Patrick Héas, Étienne Mémin, Dominique Heitz, Pablo D. Mininni
2009 — conf
Inference on Gibbs Optic-flow Priors : Application to Atmospheric Turbulence Characterization.
IGARSS (3)
Patrick Héas, Étienne Mémin
2008 — conf
Optical-Flow for 3D Atmospheric Motion Estimation.
VISAPP (2)
Patrick Héas, Étienne Mémin
2008 J jnl
Three-Dimensional Motion Estimation of Atmospheric Layers From Image Sequences.
IEEE Trans. Geosci. Remote. Sens.
Patrick Héas, Étienne Mémin
2008 — conf
Variational Pressure Image Assimilation for Atmospheric Motion Estimation.
IGARSS (2)
Thomas Corpetti, Patrick Héas, Étienne Mémin, Nicolas Papadakis
2007 — conf
A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers.
SSVM
Patrick Héas, Étienne Mémin, Nicolas Papadakis
2007 — conf
Image Assimilation for Motion Estimation of Atmospheric Layers with Shallow-Water Model.
ACCV (1)
Nicolas Papadakis, Patrick Héas, Étienne Mémin
2007 J jnl
Layered Estimation of Atmospheric Mesoscale Dynamics From Satellite Imagery.
IEEE Trans. Geosci. Remote. Sens.
Patrick Héas, Étienne Mémin, Nicolas Papadakis, André Szantai
2007 J jnl
Supervised learning on graphs of spatio-temporal similarity in satellite image sequences
CoRR
Patrick Héas, Mihai Datcu
2006 — conf
Dense Estimation of Layer Motions in the Atmosphere.
ICPR (3)
Patrick Héas, Étienne Mémin, Nicolas Papadakis
2005 J jnl
Modeling trajectory of dynamic clusters in image time-series for spatio-temporal reasoning.
IEEE Trans. Geosci. Remote. Sens.
Patrick Héas, Mihai Datcu
2004 C conf
Image time-series mining.
IGARSS
Patrick Héas, Philippe Marthon, Mihai Datcu, Alain Giros
2003 C conf
Image time series mining for dynamic scene understanding.
IGARSS
Patrick Héas, Mihai Datcu, Malika Abdellani, Alain Giros, Philippe Marthon
2002 — conf
Scale Space Exploration For Mining Image Information Content.
MDM/KDD
Mariana Ciucu, Patrick Héas, Mihai Datcu, James C. Tilton
2002 — conf
Scale Space Exploration for Mining Image Information Content.
MDM/KDD-PAKDD/KDMCD (Revised Papers)
Mariana Ciucu, Patrick Héas, Mihai Datcu, James C. Tilton