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Patrick Héas
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2020 – today
- 2023
- [i11]Patrick Héas, Olivier Hautecoeur, Régis Borde:
3D wind field profiles from hyperspectral sounders: revisiting optic-flow from a meteorological perspective. CoRR abs/2303.05154 (2023) - 2022
- [j10]Patrick Héas, Cédric Herzet:
Low-Rank Dynamic Mode Decomposition: An Exact and Tractable Solution. J. Nonlinear Sci. 32(1): 8 (2022) - [i10]Patrick Héas, Frédéric Cérou, Mathias Rousset:
Uncertainty of Atmospheric Motion Vectors by Sampling Tempered Posterior Distributions. CoRR abs/2207.03182 (2022) - [i9]Frédéric Cérou, Patrick Héas, Mathias Rousset:
Entropy minimizing distributions are worst-case optimal importance proposals. CoRR abs/2212.04292 (2022) - 2021
- [i8]Patrick Héas, Cédric Herzet:
State-Of-The-Art Algorithms For Low-Rank Dynamic Mode Decomposition. CoRR abs/2108.09160 (2021) - 2020
- [j9]Patrick Héas:
Selecting Reduced Models in the Cross-Entropy Method. SIAM/ASA J. Uncertain. Quantification 8(2): 511-538 (2020) - [c17]Patrick Héas, Cédric Herzet, Benoît Combès:
Generalized Kernel-Based Dynamic Mode Decomposition. ICASSP 2020: 3877-3881 - [i7]Patrick Héas, Cédric Herzet, Benoît Combès:
Generalized Kernel-Based Dynamic Mode Decomposition. CoRR abs/2002.04375 (2020)
2010 – 2019
- 2018
- [i6]Patrick Héas, Cédric Herzet:
Low-rank Approximation of Linear Maps. CoRR abs/1812.09042 (2018) - 2017
- [c16]Patrick Héas, Cédric Herzet:
Optimal low-rank Dynamic Mode Decomposition. ICASSP 2017: 4456-4460 - 2016
- [j8]Patrick Héas, Angélique Drémeau, Cédric Herzet:
An Efficient Algorithm for Video Superresolution Based on a Sequential Model. SIAM J. Imaging Sci. 9(2): 537-572 (2016) - [c15]Patrick Héas, Cédric Herzet:
Reduced-order modeling of hidden dynamics. ICASSP 2016: 1268-1272 - [i5]Patrick Héas, Cédric Herzet:
Low-rank Approximation and Dynamic Mode Decomposition. CoRR abs/1610.02962 (2016) - 2015
- [i4]Patrick Héas, Angélique Drémeau, Cédric Herzet:
Estimation of Super-Resolved Video Dynamics. CoRR abs/1506.00473 (2015) - 2014
- [j7]Patrick Héas, Frédéric Lavancier, Souleymane Kadri Harouna:
Self-Similar Prior and Wavelet Bases for Hidden Incompressible Turbulent Motion. SIAM J. Imaging Sci. 7(2): 1171-1209 (2014) - [c14]Angélique Dremeau, Patrick Héas, Cédric Herzet:
Sparse representations in nested non-linear models. ICASSP 2014: 7944-7948 - [i3]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 abs/1410.0719 (2014) - 2013
- [j6]Souleymane Kadri Harouna, Pierre Dérian, Patrick Héas, Étienne Mémin:
Divergence-Free Wavelets and High Order Regularization. Int. J. Comput. Vis. 103(1): 80-99 (2013) - [j5]Patrick Héas, Cédric Herzet, Étienne Mémin, Dominique Heitz, Pablo D. Mininni:
Bayesian Estimation of Turbulent Motion. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1343-1356 (2013) - [i2]Patrick Héas, Frédéric Lavancier, Souleymane Kadri Harouna:
Self-similar prior and wavelet bases for hidden incompressible turbulent motion. CoRR abs/1302.5554 (2013) - 2012
- [j4]Patrick Héas, Cédric Herzet, Étienne Mémin:
Bayesian Inference of Models and Hyperparameters for Robust Optical-Flow Estimation. IEEE Trans. Image Process. 21(4): 1437-1451 (2012) - 2011
- [c13]Pierre Dérian, Patrick Héas, Cédric Herzet, Étienne Mémin:
Wavelet-Based Fluid Motion Estimation. SSVM 2011: 737-748 - [c12]Patrick Héas, Cédric Herzet, Étienne Mémin:
Robust Optic-Flow Estimation with Bayesian Inference of Model and Hyper-parameters. SSVM 2011: 773-785
2000 – 2009
- 2009
- [c11]Patrick Héas, Étienne Mémin, Dominique Heitz, Pablo D. Mininni:
Bayesian selection of scaling laws for motion modeling in images. ICCV 2009: 971-978 - [c10]Patrick Héas, Étienne Mémin:
Inference on Gibbs Optic-flow Priors : Application to Atmospheric Turbulence Characterization. IGARSS (3) 2009: 845-848 - 2008
- [j3]Patrick Héas, Étienne Mémin:
Three-Dimensional Motion Estimation of Atmospheric Layers From Image Sequences. IEEE Trans. Geosci. Remote. Sens. 46(8): 2385-2396 (2008) - [c9]Thomas Corpetti, Patrick Héas, Étienne Mémin, Nicolas Papadakis:
Variational Pressure Image Assimilation for Atmospheric Motion Estimation. IGARSS (2) 2008: 505-508 - [c8]Patrick Héas, Étienne Mémin:
Optical-Flow for 3D Atmospheric Motion Estimation. VISAPP (2) 2008: 399-406 - 2007
- [j2]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): 4087-4104 (2007) - [c7]Nicolas Papadakis, Patrick Héas, Étienne Mémin:
Image Assimilation for Motion Estimation of Atmospheric Layers with Shallow-Water Model. ACCV (1) 2007: 864-874 - [c6]Patrick Héas, Étienne Mémin, Nicolas Papadakis:
A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers. SSVM 2007: 251-263 - [i1]Patrick Héas, Mihai Datcu:
Supervised learning on graphs of spatio-temporal similarity in satellite image sequences. CoRR abs/0709.3013 (2007) - 2006
- [c5]Patrick Héas, Étienne Mémin, Nicolas Papadakis:
Dense Estimation of Layer Motions in the Atmosphere. ICPR (3) 2006: 1-4 - 2005
- [j1]Patrick Héas, Mihai Datcu:
Modeling trajectory of dynamic clusters in image time-series for spatio-temporal reasoning. IEEE Trans. Geosci. Remote. Sens. 43(7): 1635-1647 (2005) - 2004
- [c4]Patrick Héas, Philippe Marthon, Mihai Datcu, Alain Giros:
Image time-series mining. IGARSS 2004: 2420-2423 - 2003
- [c3]Patrick Héas, Mihai Datcu, Malika Abdellani, Alain Giros, Philippe Marthon:
Image time series mining for dynamic scene understanding. IGARSS 2003: 1380-1382 - 2002
- [c2]Mariana Ciucu, Patrick Héas, Mihai Datcu, James C. Tilton:
Scale Space Exploration For Mining Image Information Content. MDM/KDD 2002: 30-38 - [c1]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: 118-133
Coauthor Index
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