| Learning localized generative models for 3d point clouds via graph convolution D Valsesia, G Fracastoro, E Magli International conference on learning representations, 2018 | 207 | 2018 |
| Deep graph-convolutional image denoising D Valsesia, G Fracastoro, E Magli IEEE Transactions on Image Processing 29, 8226-8237, 2020 | 188 | 2020 |
| Deepsum: Deep neural network for super-resolution of unregistered multitemporal images AB Molini, D Valsesia, G Fracastoro, E Magli IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3644-3656, 2019 | 167 | 2019 |
| Speckle2Void: Deep self-supervised SAR despeckling with blind-spot convolutional neural networks AB Molini, D Valsesia, G Fracastoro, E Magli IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2021 | 134 | 2021 |
| Learning graph-convolutional representations for point cloud denoising F Pistilli, G Fracastoro, D Valsesia, E Magli European conference on computer vision, 103-118, 2020 | 98 | 2020 |
| Deep learning methods for synthetic aperture radar image despeckling: An overview of trends and perspectives G Fracastoro, E Magli, G Poggi, G Scarpa, D Valsesia, L Verdoliva IEEE Geoscience and Remote Sensing Magazine 9 (2), 29-51, 2021 | 90 | 2021 |
| Image Denoising with Graph-Convolutional Neural Networks D Valsesia, G Fracastoro, E Magli 2019 IEEE International Conference on Image Processing (ICIP), 2019 | 71 | 2019 |
| Steerable discrete cosine transform G Fracastoro, SM Fosson, E Magli IEEE Transactions on Image Processing 26 (1), 303-314, 2017 | 65 | 2017 |
| Steerable discrete cosine transform G Fracastoro, E Magli IEEE International Workshop on Multimedia Signal Processing (MMSP), 1-6, 2015 | 65 | 2015 |
| 3D face recognition: An automatic strategy based on geometrical descriptors and landmarks E Vezzetti, F Marcolin, G Fracastoro Robotics and Autonomous Systems 62 (12), 1768-1776, 2014 | 55 | 2014 |
| Denoise and contrast for category agnostic shape completion A Alliegro, D Valsesia, G Fracastoro, E Magli, T Tommasi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 45 | 2021 |
| Learning localized representations of point clouds with graph-convolutional generative adversarial networks D Valsesia, G Fracastoro, E Magli IEEE Transactions on Multimedia 23, 402-414, 2020 | 43 | 2020 |
| Learning robust graph-convolutional representations for point cloud denoising F Pistilli, G Fracastoro, D Valsesia, E Magli IEEE Journal of Selected Topics in Signal Processing 15 (2), 402-414, 2020 | 41 | 2020 |
| Cleft lip pathology diagnosis and foetal landmark extraction via 3D geometrical analysis S Moos, F Marcolin, S Tornincasa, E Vezzetti, MG Violante, G Fracastoro, ... International Journal on Interactive Design and Manufacturing (IJIDeM) 11, 1-18, 2017 | 40 | 2017 |
| Sampling of graph signals via randomized local aggregations D Valsesia, G Fracastoro, E Magli IEEE Transactions on Signal and Information Processing over Networks 5 (2 …, 2018 | 38 | 2018 |
| Graph transform optimization with application to image compression G Fracastoro, D Thanou, P Frossard IEEE Transactions on Image Processing 29, 419-432, 2019 | 35 | 2019 |
| Superpixel-driven graph transform for image compression G Fracastoro, F Verdoja, M Grangetto, E Magli 2015 IEEE International Conference on Image Processing (ICIP), 2631-2635, 2015 | 33 | 2015 |
| Semi-supervised learning for joint SAR and multispectral land cover classification A Montanaro, D Valsesia, G Fracastoro, E Magli IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 25 | 2022 |
| Steerable discrete Fourier transform G Fracastoro, E Magli IEEE Signal Processing Letters 24 (3), 319-323, 2017 | 25 | 2017 |
| Diagnosing cleft lip pathology in 3d ultrasound: A landmarking-based approach E Vezzetti, D Speranza, F Marcolin, G Fracastoro Image Analysis and Stereology 35 (1), 53-65, 2016 | 25 | 2016 |
Enrico MagliProfessore Ordinario, Politecnico di TorinoZweryfikowany adres z polito.it