A variational framework for exemplar-based image inpainting P Arias, G Facciolo, V Caselles, G Sapiro International journal of computer vision 93, 319-347, 2011 | 282 | 2011 |
Video denoising via empirical bayesian estimation of space-time patches P Arias, JM Morel Journal of Mathematical Imaging and Vision 60, 70-93, 2018 | 105 | 2018 |
Connecting the out-of-sample and pre-image problems in kernel methods P Arias, G Randall, G Sapiro 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 105 | 2007 |
A variational framework for non-local image inpainting P Arias, V Caselles, G Sapiro International Workshop on Energy Minimization Methods in Computer Vision and …, 2009 | 100 | 2009 |
Model-blind video denoising via frame-to-frame training T Ehret, A Davy, JM Morel, G Facciolo, P Arias Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 91 | 2019 |
Joint demosaicking and denoising by fine-tuning of bursts of raw images T Ehret, A Davy, P Arias, G Facciolo Proceedings of the ieee/cvf international conference on computer vision …, 2019 | 74 | 2019 |
A non-local CNN for video denoising A Davy, T Ehret, JM Morel, P Arias, G Facciolo 2019 IEEE international conference on image processing (ICIP), 2409-2413, 2019 | 69 | 2019 |
Exemplar-based interpolation of sparsely sampled images G Facciolo, P Arias, V Caselles, G Sapiro Energy Minimization Methods in Computer Vision and Pattern Recognition: 7th …, 2009 | 62 | 2009 |
Variational framework for non-local inpainting V Fedorov, G Facciolo, P Arias Image Processing On Line 5, 362-386, 2015 | 48 | 2015 |
Analysis of a variational framework for exemplar-based image inpainting P Arias, V Caselles, G Facciolo Multiscale Modeling & Simulation 10 (2), 473-514, 2012 | 42 | 2012 |
Non-local video denoising by CNN A Davy, T Ehret, JM Morel, P Arias, G Facciolo arXiv preprint arXiv:1811.12758, 2018 | 37 | 2018 |
Self-supervised training for blind multi-frame video denoising V Dewil, J Anger, A Davy, T Ehret, G Facciolo, P Arias Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 35 | 2021 |
Self-supervised multi-image super-resolution for push-frame satellite images NL Nguyen, J Anger, A Davy, P Arias, G Facciolo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 32 | 2021 |
Ultrasound image segmentation with shape priors: application to automatic cattle rib-eye area estimation P Arias, A Pini, G Sanguinetti, P Sprechmann, P Cancela, A Fernández, ... IEEE Transactions on Image Processing 16 (6), 1637-1645, 2007 | 30 | 2007 |
Kalman filtering of patches for frame-recursive video denoising P Arias, JM Morel Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 21 | 2019 |
Affine invariant self-similarity for exemplar-based inpainting V Fedorov, P Arias, G Facciolo, C Ballester VISAPP, 2016 | 20 | 2016 |
EPLL: an image denoising method using a Gaussian mixture model learned on a large set of patches S Hurault, T Ehret, P Arias Image Processing On Line 8, 465-489, 2018 | 19 | 2018 |
Towards a bayesian video denoising method P Arias, JM Morel Advanced Concepts for Intelligent Vision Systems: 16th International …, 2015 | 19 | 2015 |
A variational model for gradient-based video editing R Sadek, G Facciolo, P Arias, V Caselles International journal of computer vision 103, 127-162, 2013 | 19 | 2013 |
Linear multiscale analysis of similarities between images on Riemannian manifolds: Practical formula and affine covariant metrics V Fedorov, P Arias, R Sadek, G Facciolo, C Ballester SIAM Journal on Imaging Sciences 8 (3), 2021-2069, 2015 | 18 | 2015 |