| Low-complexity single-image super-resolution based on nonnegative neighbor embedding M Bevilacqua, A Roumy, C Guillemot, ML Alberi-Morel BMVA press, 2012 | 1010 | 2012 |
| Single-image super-resolution via linear mapping of interpolated self-examples M Bevilacqua, A Roumy, C Guillemot, MLA Morel IEEE Transactions on image processing 23 (12), 5334-5347, 2014 | 97 | 2014 |
| Neighbor embedding based single-image super-resolution using semi-nonnegative matrix factorization M Bevilacqua, A Roumy, C Guillemot, MLA Morel 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 42 | 2012 |
| Super-resolution using neighbor embedding of back-projection residuals M Bevilacqua, A Roumy, C Guillemot, MLA Morel 2013 18th International Conference on Digital Signal Processing (DSP), 1-8, 2013 | 27 | 2013 |
| Sparse reconstruction for compressed sensing using stagewise polytope faces pursuit MD Plumbley, M Bevilacqua 2009 16th International Conference on Digital Signal Processing, 1-8, 2009 | 14 | 2009 |
| Algorithms for super-resolution of images and videos based on learning methods M Bevilacqua | 13 | 2014 |
| Joint inpainting of depth and reflectance with visibility estimation M Bevilacqua, JF Aujol, P Biasutti, M Brédif, A Bugeau ISPRS Journal of Photogrammetry and Remote Sensing 125, 16-32, 2017 | 12 | 2017 |
| Dictionary-driven ischemia detection from cardiac phase-resolved myocardial BOLD MRI at rest M Bevilacqua, R Dharmakumar, SA Tsaftaris IEEE transactions on medical imaging 35 (1), 282-293, 2015 | 12 | 2015 |
| Unsupervised hyperspectral band selection via multi-feature information-maximization clustering M Bevilacqua, Y Berthoumieu 2017 IEEE International Conference on Image Processing (ICIP), 540-544, 2017 | 9 | 2017 |
| Unsupervised myocardial segmentation for cardiac MRI A Mukhopadhyay, I Oksuz, M Bevilacqua, R Dharmakumar, SA Tsaftaris International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 9 | 2015 |
| Visibility estimation and joint inpainting of lidar depth maps M Bevilacqua, JF Aujol, M Brédif, A Bugeau 2016 IEEE International Conference on Image Processing (ICIP), 3503-3507, 2016 | 8 | 2016 |
| Data-driven feature learning for myocardial segmentation of CP-BOLD MRI A Mukhopadhyay, I Oksuz, M Bevilacqua, R Dharmakumar, SA Tsaftaris International Conference on Functional Imaging and Modeling of the Heart …, 2015 | 8 | 2015 |
| K-WEB: Nonnegative dictionary learning for sparse image representations M Bevilacqua, A Roumy, C Guillemot, MLA Morel 2013 IEEE International Conference on Image Processing, 146-150, 2013 | 8 | 2013 |
| Compact and coherent dictionary construction for example-based super-resolution M Bevilacqua, A Roumy, C Guillemot, MLA Morel 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 7 | 2013 |
| Multiple-feature kernel-based probabilistic clustering for unsupervised band selection M Bevilacqua, Y Berthoumieu IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6675-6689, 2019 | 5 | 2019 |
| Dictionary learning based image descriptor for myocardial registration of CP-BOLD MR I Oksuz, A Mukhopadhyay, M Bevilacqua, R Dharmakumar, SA Tsaftaris International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 5 | 2015 |
| Video super-resolution via sparse combinations of key-frame patches in a compression context M Bevilacqua, A Roumy, C Guillemot, MLA Morel 2013 Picture Coding Symposium (PCS), 337-340, 2013 | 5 | 2013 |
| Dictionary-decomposition-based one-class svm for unsupervised detection of anomalous time series M Bevilacqua, S Tsaftaris Proceedings of 23rd European signal processing conference (EUSIPCO), 1776-1780, 2015 | 2 | 2015 |
| Stagewise Polytope Faces Pursuit for Recovery of Sparse Representations MD Plumbley, M Bevilacqua Proc DSP, 2009 | 1 | 2009 |
| Classification d'Images pour la Catégorisation de Produits sur un Site de E-Commerce Z Li, E Guŕrdia-Sebaoun, M Bevilacqua, C Grauer, M Cornec, B Goutorbe | | 2018 |
Christine GUILLEMOTDirecteur de recherche INRIA, IRISAVerified email at inria.fr
