Patrick Héas

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 13

Top Topics

Minimization Problems

Tensor Decomposition

Top Venues

SIAM J. Imaging Sci.

SIAM/ASA J. Uncertain. Quantification

Publications

Patrick Héas, Olivier Hautecoeur, Régis Borde
3D wind field profiles from hyperspectral sounders: revisiting optic-flow from a meteorological perspective. CoRR (2023)
Frédéric Cérou, Patrick Héas, Mathias Rousset
Entropy minimizing distributions are worst-case optimal importance proposals. CoRR (2022)
Patrick Héas, Frédéric Cérou, Mathias Rousset
Uncertainty of Atmospheric Motion Vectors by Sampling Tempered Posterior Distributions. CoRR (2022)
Patrick Héas, Cédric Herzet
Low-Rank Dynamic Mode Decomposition: An Exact and Tractable Solution. J. Nonlinear Sci. 32 (1) (2022)
Patrick Héas, Cédric Herzet
State-Of-The-Art Algorithms For Low-Rank Dynamic Mode Decomposition. CoRR (2021)
Patrick Héas, Cédric Herzet, Benoît Combès
Generalized Kernel-Based Dynamic Mode Decomposition. ICASSP (2020)
Patrick Héas
Selecting Reduced Models in the Cross-Entropy Method. SIAM/ASA J. Uncertain. Quantification 8 (2) (2020)
Patrick Héas, Cédric Herzet, Benoît Combès
Generalized Kernel-Based Dynamic Mode Decomposition. CoRR (2020)
Patrick Héas, Cédric Herzet
Low-rank Approximation of Linear Maps. CoRR (2018)
Patrick Héas, Cédric Herzet
Optimal low-rank Dynamic Mode Decomposition. ICASSP (2017)
Patrick Héas, Angélique Drémeau, Cédric Herzet
An Efficient Algorithm for Video Superresolution Based on a Sequential Model. SIAM J. Imaging Sci. 9 (2) (2016)
Patrick Héas, Cédric Herzet
Low-rank Approximation and Dynamic Mode Decomposition. CoRR (2016)
Patrick Héas, Cédric Herzet
Reduced-order modeling of hidden dynamics. ICASSP (2016)
Patrick Héas, Angélique Drémeau, Cédric Herzet
Estimation of Super-Resolved Video Dynamics. CoRR (2015)
Patrick Héas, Frédéric Lavancier, Souleymane Kadri Harouna
Self-Similar Prior and Wavelet Bases for Hidden Incompressible Turbulent Motion. SIAM J. Imaging Sci. 7 (2) (2014)
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
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR (2014)
Angélique Dremeau, Patrick Héas, Cédric Herzet
Sparse representations in nested non-linear models. ICASSP (2014)
Patrick Héas, Cédric Herzet, Étienne Mémin, Dominique Heitz, Pablo D. Mininni
Bayesian Estimation of Turbulent Motion. IEEE Trans. Pattern Anal. Mach. Intell. 35 (6) (2013)
Patrick Héas, Frédéric Lavancier, Souleymane Kadri Harouna
Self-similar prior and wavelet bases for hidden incompressible turbulent motion CoRR (2013)
Souleymane Kadri Harouna, Pierre Dérian, Patrick Héas, Étienne Mémin
Divergence-Free Wavelets and High Order Regularization. Int. J. Comput. Vis. 103 (1) (2013)
Patrick Héas, Cédric Herzet, Étienne Mémin
Bayesian Inference of Models and Hyperparameters for Robust Optical-Flow Estimation. IEEE Trans. Image Process. 21 (4) (2012)
Patrick Héas, Cédric Herzet, Étienne Mémin
Robust Optic-Flow Estimation with Bayesian Inference of Model and Hyper-parameters. SSVM (2011)
Pierre Dérian, Patrick Héas, Cédric Herzet, Étienne Mémin
Wavelet-Based Fluid Motion Estimation. SSVM (2011)
Patrick Héas, Étienne Mémin
Inference on Gibbs Optic-flow Priors : Application to Atmospheric Turbulence Characterization. IGARSS (3) (2009)
Patrick Héas, Étienne Mémin, Dominique Heitz, Pablo D. Mininni
Bayesian selection of scaling laws for motion modeling in images. ICCV (2009)
Patrick Héas, Étienne Mémin
Three-Dimensional Motion Estimation of Atmospheric Layers From Image Sequences. IEEE Trans. Geosci. Remote. Sens. 46 (8) (2008)
Thomas Corpetti, Patrick Héas, Étienne Mémin, Nicolas Papadakis
Variational Pressure Image Assimilation for Atmospheric Motion Estimation. IGARSS (2) (2008)
Patrick Héas, Étienne Mémin
Optical-Flow for 3D Atmospheric Motion Estimation. VISAPP (2) (2008)
Patrick Héas, Étienne Mémin, Nicolas Papadakis
A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers. SSVM (2007)
Nicolas Papadakis, Patrick Héas, Étienne Mémin
Image Assimilation for Motion Estimation of Atmospheric Layers with Shallow-Water Model. ACCV (1) (2007)
Patrick Héas, Étienne Mémin, Nicolas Papadakis, André Szantai
Layered Estimation of Atmospheric Mesoscale Dynamics From Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 45 (12-2) (2007)
Patrick Héas, Mihai Datcu
Supervised learning on graphs of spatio-temporal similarity in satellite image sequences CoRR (2007)
Patrick Héas, Étienne Mémin, Nicolas Papadakis
Dense Estimation of Layer Motions in the Atmosphere. ICPR (3) (2006)
Patrick Héas, Mihai Datcu
Modeling trajectory of dynamic clusters in image time-series for spatio-temporal reasoning. IEEE Trans. Geosci. Remote. Sens. 43 (7) (2005)
Patrick Héas, Philippe Marthon, Mihai Datcu, Alain Giros
Image time-series mining. IGARSS (2004)
Patrick Héas, Mihai Datcu, Malika Abdellani, Alain Giros, Philippe Marthon
Image time series mining for dynamic scene understanding. IGARSS (2003)
Mariana Ciucu, Patrick Héas, Mihai Datcu, James C. Tilton
Scale Space Exploration for Mining Image Information Content. Revised Papers from MDM/KDD and PAKDD/KDMCD (2002)
Mariana Ciucu, Patrick Héas, Mihai Datcu, James C. Tilton
Scale Space Exploration For Mining Image Information Content. MDM/KDD (2002)