Patrick Héas
Patrick Héas
在 inria.fr 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
792005
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
722007
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
562009
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
492008
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
412008
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
332013
Wavelets and optical flow motion estimation
P Dérian, P Héas, C Herzet, E Mémin
312013
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
292009
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
282012
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
232012
Wavelet-based fluid motion estimation
P Dérian, P Héas, C Herzet, É Mémin
International Conference on Scale Space and Variational Methods in Computer …, 2011
232011
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
212011
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
132017
Wavelets to reconstruct turbulence multifractals from experimental image sequences
P Derian, P Heas, E Memin
Seventh International Symposium on Turbulence and Shear Flow Phenomena, 2011
102011
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
Dense motion estimation from eye-safe aerosol lidar data
P Dérian, P Héas, É Mémin, S Mayor
92010
Spatio-temporal correlationvariational approach for robust optical flow estimation
D Heitz, P Héas, V Navaza, J Carlier, E Mémin
7th International Symposium on Particle Image Velocimetry-PIV2007. Roma, 2007
82007
Dense estimation of layer motions in the atmosphere
P Héas, E Mémin, N Papadakis
18th International Conference on Pattern Recognition (ICPR'06) 3, 1-4, 2006
82006
Multiscale regularization based on turbulent kinetic energy decay for PIV estimations with high spatial resolution
P Héas, D Heitz, E Mémin
8TH International Symposium on Particle Image Velocimetry 41, 42-99, 2009
72009
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