Patrick Héas

According to our database, Patrick Héas authored at least 35 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

3D wind field profiles from hyperspectral sounders: revisiting optic-flow from a meteorological perspective.

Patrick Héas, Olivier Hautecoeur, Régis Borde

CoRR, 2023

2022

Low-Rank Dynamic Mode Decomposition: An Exact and Tractable Solution.

Patrick Héas, Cédric Herzet

J. Nonlinear Sci., 2022

Entropy minimizing distributions are worst-case optimal importance proposals.

Frédéric Cérou, Patrick Héas, Mathias Rousset

CoRR, 2022

Uncertainty of Atmospheric Motion Vectors by Sampling Tempered Posterior Distributions.

Patrick Héas, Frédéric Cérou, Mathias Rousset

CoRR, 2022

2021

State-Of-The-Art Algorithms For Low-Rank Dynamic Mode Decomposition.

Patrick Héas, Cédric Herzet

CoRR, 2021

2020

Selecting Reduced Models in the Cross-Entropy Method.

Patrick Héas

SIAM/ASA J. Uncertain. Quantification, 2020

Generalized Kernel-Based Dynamic Mode Decomposition.

Patrick Héas, Cédric Herzet, Benoît Combès

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018

Low-rank Approximation of Linear Maps.

Patrick Héas, Cédric Herzet

CoRR, 2018

2017

Optimal low-rank Dynamic Mode Decomposition.

Patrick Héas, Cédric Herzet

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

An Efficient Algorithm for Video Superresolution Based on a Sequential Model.

Patrick Héas, Angélique Drémeau, Cédric Herzet

SIAM J. Imaging Sci., 2016

Low-rank Approximation and Dynamic Mode Decomposition.

Patrick Héas, Cédric Herzet

CoRR, 2016

Reduced-order modeling of hidden dynamics.

Patrick Héas, Cédric Herzet

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Estimation of Super-Resolved Video Dynamics.

Patrick Héas, Angélique Drémeau, Cédric Herzet

CoRR, 2015

2014

Self-Similar Prior and Wavelet Bases for Hidden Incompressible Turbulent Motion.

Patrick Héas, Frédéric Lavancier, Souleymane Kadri Harouna

SIAM J. Imaging Sci., 2014

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).

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

CoRR, 2014

Sparse representations in nested non-linear models.

Angélique Dremeau, Patrick Héas, Cédric Herzet

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Bayesian Estimation of Turbulent Motion.

Patrick Héas, Cédric Herzet, Étienne Mémin, Dominique Heitz, Pablo D. Mininni

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Divergence-Free Wavelets and High Order Regularization.

Souleymane Kadri Harouna, Pierre Dérian, Patrick Héas, Étienne Mémin

Int. J. Comput. Vis., 2013

2012

Bayesian Inference of Models and Hyperparameters for Robust Optical-Flow Estimation.

Patrick Héas, Cédric Herzet, Étienne Mémin

IEEE Trans. Image Process., 2012

2011

Robust Optic-Flow Estimation with Bayesian Inference of Model and Hyper-parameters.

Patrick Héas, Cédric Herzet, Étienne Mémin

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Wavelet-Based Fluid Motion Estimation.

Pierre Dérian, Patrick Héas, Cédric Herzet, Étienne Mémin

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

2009

Inference on Gibbs Optic-flow Priors : Application to Atmospheric Turbulence Characterization.

Patrick Héas, Étienne Mémin

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Bayesian selection of scaling laws for motion modeling in images.

Patrick Héas, Étienne Mémin, Dominique Heitz, Pablo D. Mininni

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008

Three-Dimensional Motion Estimation of Atmospheric Layers From Image Sequences.

Patrick Héas, Étienne Mémin

IEEE Trans. Geosci. Remote. Sens., 2008

Optical-Flow for 3D Atmospheric Motion Estimation.

Patrick Héas, Étienne Mémin

Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Variational Pressure Image Assimilation for Atmospheric Motion Estimation.

Thomas Corpetti, Patrick Héas, Étienne Mémin, Nicolas Papadakis

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2007

Layered Estimation of Atmospheric Mesoscale Dynamics From Satellite Imagery.

Patrick Héas, Étienne Mémin, Nicolas Papadakis, André Szantai

IEEE Trans. Geosci. Remote. Sens., 2007

Supervised learning on graphs of spatio-temporal similarity in satellite image sequences

Patrick Héas, Mihai Datcu

CoRR, 2007

A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers.

Patrick Héas, Étienne Mémin, Nicolas Papadakis

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Image Assimilation for Motion Estimation of Atmospheric Layers with Shallow-Water Model.

Nicolas Papadakis, Patrick Héas, Étienne Mémin

Proceedings of the Computer Vision, 2007

2006

Dense Estimation of Layer Motions in the Atmosphere.

Patrick Héas, Étienne Mémin, Nicolas Papadakis

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005

Modeling trajectory of dynamic clusters in image time-series for spatio-temporal reasoning.

Patrick Héas, Mihai Datcu

IEEE Trans. Geosci. Remote. Sens., 2005

2004

Image time-series mining.

Patrick Héas, Philippe Marthon, Mihai Datcu, Alain Giros

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

2003

Image time series mining for dynamic scene understanding.

Patrick Héas, Mihai Datcu, Malika Abdellani, Alain Giros, Philippe Marthon

Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

2002

Scale Space Exploration For Mining Image Information Content.

Mariana Ciucu, Patrick Héas, Mihai Datcu, James C. Tilton

Proceedings of the Third International Workshop on Multimedia Data Mining, 2002