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Patrick Héas
Patrick Héas
Inria, Rennes
Verified email at inria.fr
Title
Cited by
Cited by
Year
Layered estimation of atmospheric mesoscale dynamics from satellite imagery
P Héas, E Mémin, N Papadakis, A Szantai
IEEE Transactions on Geoscience and Remote Sensing 45 (12), 4087-4104, 2007
952007
Modeling trajectory of dynamic clusters in image time-series for spatio-temporal reasoning
P Héas, M Datcu
IEEE Transactions on Geoscience and Remote Sensing 43 (7), 1635-1647, 2005
872005
Wavelets and optical flow motion estimation
P Dérian, P Héas, C Herzet, E Mémin
Numerical Mathematics: Theory, Methods and Applications 6 (1), 116-137, 2013
692013
Dynamic consistent correlation-variational approach for robust optical flow estimation
D Heitz, P Héas, E Mémin, J Carlier
Experiments in fluids 45 (4), 595-608, 2008
692008
Divergence-free wavelets and high order regularization
S Kadri-Harouna, P Dérian, P Héas, E Mémin
International journal of computer vision 103 (1), 80-99, 2013
632013
Pressure image assimilation for atmospheric motion estimation
T Corpetti, P Héas, E Mémin, N Papadakis
Tellus A: Dynamic Meteorology and Oceanography 61 (1), 160-178, 2009
582009
Three-dimensional motion estimation of atmospheric layers from image sequences
P Héas, E Mémin
IEEE transactions on geoscience and remote sensing 46 (8), 2385-2396, 2008
522008
Power laws and inverse motion modelling: application to turbulence measurements from satellite images
P Héas, E Mémin, D Heitz, PD Mininni
Tellus A: Dynamic Meteorology and Oceanography 64 (1), 10962, 2012
372012
Bayesian selection of scaling laws for motion modeling in images
P Héas, E Mémin, D Heitz, PD Mininni
2009 IEEE 12th International Conference on Computer Vision, 971-978, 2009
312009
Wavelet-based fluid motion estimation
P Dérian, P Héas, C Herzet, É Mémin
Scale Space and Variational Methods in Computer Vision: Third International …, 2012
302012
Bayesian estimation of turbulent motion
P Héas, C Herzet, E Mémin, D Heitz, PD Mininni
IEEE transactions on pattern analysis and machine intelligence 35 (6), 1343-1356, 2012
272012
Bayesian inference of models and hyperparameters for robust optical-flow estimation
P Héas, C Herzet, E Mémin
IEEE Transactions on Image Processing 21 (4), 1437-1451, 2011
262011
Low-rank dynamic mode decomposition: An exact and tractable solution
P Héas, C Herzet
Journal of Nonlinear Science 32 (1), 8, 2022
22*2022
Self-similar prior and wavelet bases for hidden incompressible turbulent motion
P Héas, F Lavancier, S Kadri-Harouna
SIAM Journal on Imaging Sciences 7 (2), 1171-1209, 2014
202014
Image assimilation for motion estimation of atmospheric layers with shallow-water model
N Papadakis, P Héas, É Mémin
Asian Conference on Computer Vision, 864-874, 2007
192007
Optimal low-rank dynamic mode decomposition
P Héas, C Herzet
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
152017
Wavelets to reconstruct turbulence multifractals from experimental image sequences
P Derian, P Héas, E Memin
Seventh International Symposium on Turbulence and Shear Flow Phenomena, 2011
122011
Scale space exploration for mining image information content
M Ciucu, P Heas, M Datcu, JC Tilton
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 118-133, 2002
102002
Generalized kernel-based dynamic mode decomposition
P Héas, C Herzet, B Combes
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
92020
Dense motion estimation from eye-safe aerosol lidar data
P Dérian, P Héas, É Mémin, S Mayor
25th International Laser Radar Conference, 2010
92010
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