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Marco Bevilacqua
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2020 – today
- 2020
- [c14]Chiara Caiazza, Leonardo Bernardi, Marco Bevilacqua, Alessandro Cabras, Claudio Cicconetti, Valerio Luconi, Gabriele Sciurti, Elisabetta Senore, Emilio Vallati, Alessio Vecchio:
MECPerf: An Application-Level Tool for Estimating the Network Performance in Edge Computing Environments. COMPSAC 2020: 1163-1168
2010 – 2019
- 2019
- [j3]Marco Bevilacqua, Yannick Berthoumieu:
Multiple-Feature Kernel-Based Probabilistic Clustering for Unsupervised Band Selection. IEEE Trans. Geosci. Remote. Sens. 57(9): 6675-6689 (2019) - 2018
- [c13]Zhiwei Li, Élie Guàrdia-Sebaoun, Marco Bevilacqua, Christelle Grauer, Matthieu Cornec, Bruno Goutorbe:
Classification d'Images pour la Catégorisation de Produits sur un Site de E-Commerce. APIA 2018: 105-112 - 2017
- [c12]Marco Bevilacqua, Yannick Berthoumieu:
Unsupervised hyperspectral band selection via multi-feature information-maximization clustering. ICIP 2017: 540-544 - 2016
- [j2]Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Dictionary-Driven Ischemia Detection From Cardiac Phase-Resolved Myocardial BOLD MRI at Rest. IEEE Trans. Medical Imaging 35(1): 282-293 (2016) - [c11]Marco Bevilacqua, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau:
Visibility estimation and joint inpainting of lidar depth maps. ICIP 2016: 3503-3507 - 2015
- [c10]Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI. FIMH 2015: 189-197 - [c9]Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Unsupervised Myocardial Segmentation for Cardiac MRI. MICCAI (3) 2015: 12-20 - [c8]Ilkay Öksüz, Anirban Mukhopadhyay, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR. MICCAI (2) 2015: 205-213 - 2014
- [b1]Marco Bevilacqua:
Algorithms for super-resolution of images and videos based on learning methods. (Algorithmes de super-résolution d'images et de vidéos basés sur des méthodes d'apprentissage). University of Rennes 1, France, 2014 - [j1]Marco Bevilacqua, Aline Roumy, Christine Guillemot, Marie-Line Alberi-Morel:
Single-Image Super-Resolution via Linear Mapping of Interpolated Self-Examples. IEEE Trans. Image Process. 23(12): 5334-5347 (2014) - 2013
- [c7]Marco Bevilacqua, Aline Roumy, Christine Guillemot, Marie-Line Alberi-Morel:
Compact and coherent dictionary construction for example-based super-resolution. ICASSP 2013: 2222-2226 - [c6]Marco Bevilacqua, Aline Roumy, Christine Guillemot, Marie-Line Alberi-Morel:
Super-resolution using neighbor embedding of back-projection residuals. DSP 2013: 1-8 - [c5]Marco Bevilacqua, Aline Roumy, Christine Guillemot, Marie-Line Alberi-Morel:
K-WEB: Nonnegative dictionary learning for sparse image representations. ICIP 2013: 146-150 - [c4]Marco Bevilacqua, Aline Roumy, Christine Guillemot, Marie-Line Alberi-Morel:
Video super-resolution via sparse combinations of key-frame patches in a compression context. PCS 2013: 337-340 - 2012
- [c3]Marco Bevilacqua, Aline Roumy, Christine Guillemot, Marie-Line Alberi-Morel:
Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding. BMVC 2012: 1-10 - [c2]Marco Bevilacqua, Aline Roumy, Christine Guillemot, Marie-Line Alberi-Morel:
Neighbor embedding based single-image super-resolution using Semi-Nonnegative Matrix Factorization. ICASSP 2012: 1289-1292
2000 – 2009
- 2009
- [c1]Mark D. Plumbley, Marco Bevilacqua:
Sparse reconstruction for compressed sensing using Stagewise Polytope Faces Pursuit. DPS 2009: 1-8
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