Marco Bevilacqua

Marco Bevilacqua and Yannick Berthoumieu. “Multiple-feature Kernel-based Probabilistic Clustering for Unsupervised Band Selection”. In: IEEE Transactions on Geoscience and Remote Sensing 57.9 (2019), pp. 6675–6689.

Marco Bevilacqua, Jean-François Aujol, Pierre Biasutti, Mathieu Brédif, and Aurélie Bugeau. “Joint inpainting of depth and reflectance with visibility estimation”. In: ISPRS Journal of Photogrammetry and Remote Sensing 125 (2017), pp. 16–32.

Marco Bevilacqua, Rohan Dharmakumar, and Sotirios A. Tsaftaris. “Dictionary-driven Ischemia Detection from Cardiac Phase-Resolved Myocardial BOLD MRI at Rest”. In: IEEE Transactions on Medical Imaging 35.1 (Jan. 2016), pp. 282–293.

Marco Bevilacqua, Aline Roumy, Christine Guillemot, and Marie-Line Alberi Morel. “Single-image super-resolution via linear mapping of interpolated self-examples”. In: IEEE Transactions on Image Processing 23.12 (Dec. 2014), pp. 5334–5347.

Marco Bevilacqua and Yannick Berthoumieu. “Unsupervised Hyperspectral Band Selection via Multi-feature Information-Maximization Clustering”. In: IEEE International Conference on Image Processing (ICIP). Beijing, China: IEEE, Sept. 2017, pp. 540–544.

Marco Bevilacqua, Jean-François Aujol, Mathieu Brédif, and Aurélie Bugeau. “Visibility Estimation and Joint Inpainting of Lidar Depth Maps”. In: IEEE International Conference on Image Processing (ICIP). Phoenix, AZ, USA: IEEE, Sept. 2016, pp. 3503–3507.

Marco Bevilacqua and Sotirios A. Tsaftaris. “Dictionary-decomposition-based One-class SVM for Unsupervised Detection of Anomalous Time Series”. In: 23rd European Signal Processing Conference (EUSIPCO). Nice, France, Sept. 2015, pp. 1776–1780.

Ilkay Oksuz, Anirban Mukhopadhyay, Marco Bevilacqua, Rohan Dharmakumar, and Sotirios A. Tsaftaris. “Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR”. In: Medical Image Computing and Computer-Assisted Intervention (MICCAI). Vol. 9350. Lecture Notes in Computer Science. Springer International Publishing, 2015, pp. 205–213.

Anirban Mukhopadhyay, Ilkay Oksuz, Marco Bevilacqua, Rohan Dharmakumar, and Sotirios A. Tsaftaris. “Unsupervised Myocardial Segmentation for Cardiac MRI”. In: Medical Image Computing and Computer-Assisted Intervention (MICCAI). Vol. 9351. Lecture Notes in Computer Science. Springer International Publishing, 2015, pp. 12–20.

Anirban Mukhopadhyay, Ilkay Oksuz, Marco Bevilacqua, Rohan Dharmakumar, and Sotirios A. Tsaftaris. “Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI”. In: Functional Imaging and Modeling of the Heart (FIMH). Vol. 9126. Lecture Notes in Computer Science. Springer International Publishing, 2015, pp. 189–197.

Marco Bevilacqua, Aline Roumy, Christine Guillemot, and Marie-Line Alberi Morel. “Video super-resolution via sparse combinations of key-frame patches in a compression context”. In: 30th Picture Coding Symposium (PCS). San Jose, CA, USA: IEEE, Dec. 2013, pp. 337–340.

Marco Bevilacqua, Aline Roumy, Christine Guillemot, and Marie-Line Alberi Morel. “K-WEB: Nonnegative dictionary learning for sparse image representations”. In: IEEE International Conference on Image Processing (ICIP). Melbourne, Australia: IEEE, Sept. 2013, pp. 146–150.

Marco Bevilacqua, Aline Roumy, Christine Guillemot, and Marie-Line Alberi Morel. “Super-resolution using Neighbor Embedding of Back-projection residuals”. In: 18th International Conference on Digital Signal Processing (DSP). Santorini, Greece: July 2013, pp. 1–8.

Marco Bevilacqua, Aline Roumy, Christine Guillemot, and Marie-Line Alberi Morel. “Compact and coherent dictionary construction for example-based super-resolution”. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Vancouver, Canada: IEEE, May 2013, pp. 2222–2226.

Marco Bevilacqua, Aline Roumy, Christine Guillemot, and Marie-Line Alberi Morel. “Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding”. In: Proceedings of the British Machine Vision Conference (BMVC). Guildford, UK: BMVA Press, Sept. 2012, pp. 135.1–135.10.

Marco Bevilacqua, Aline Roumy, Christine Guillemot, and Marie-Line Alberi Morel. “Neighbor embedding based single-image super-resolution using Semi-Nonnegative Matrix Factorization”. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Kyoto, Japan: IEEE, Mar. 2012, pp. 1289–1292.

Mark D. Plumbley and Marco Bevilacqua. “Sparse reconstruction for compressed sensing using Stagewise Polytope Faces Pursuit”. In: 16th International Conference on Digital Signal Processing (DSP). Santorini, Greece: IEEE, July 2009, pp. 1–8.

Z. Li, E. Guàrdia-Sebaoun, M. Bevilacqua, C. Grauer, M. Cornec, and B. Goutorbe. “Classification d’Images pour la Catégorisation de Produits sur un Site de E-Commerce”. In: 4ème conférence sur les Applications Pratiques de l’Intelligence Artificielle (APIA). July 2018.

Marco Bevilacqua, Anirban Mukhopadhyay, Ilkay Oksuz, Cristian Rusu, Rohan Dharmakumar, and Sotirios A. Tsaftaris. “Dictionary-based Support Vector Machines for Unsupervised Ischemia Detection at Rest with CP-BOLD Cardiac MRI”. In: Proc. of ISMRM 23rd Annual Meeting & Exhibition. Toronto, Canada, June 2015.

Anirban Mukhopadhyay, Marco Bevilacqua, Ilkay Oksuz, Rohan Dharmakumar, and Sotirios A. Tsaftaris. “Data Driven Feature Learning for Representation of Myocardial BOLD MR Images”. In: Proc. of ISMRM 23rd Annual Meeting & Exhibition. Toronto, Canada, June 2015.

Ilkay Oksuz, Anirban Mukhopadhyay, Marco Bevilacqua, Hsin-Jung Yang, Rohan Dharmakumar, and Sotirios A. Tsaftaris. “Effect of BOLD contrast on Myocardial Registration”. In: Proc. of ISMRM 23rd Annual Meeting & Exhibition. Toronto, Canada, June 2015.

Mark D. Plumbley and Marco Bevilacqua. “Stagewise Polytope Faces Pursuit for Recovery of Sparse Representations”. Presented at the Sparsity in Machine Learning and Statistics workshop, Cumberland Lodge, UK. Extended Abstract. Apr. 2009.