| Learning localized generative models for 3d point clouds via graph convolution D Valsesia, G Fracastoro, E Magli International conference on learning representations, 2018 | 153 | 2018 |
| Deep graph-convolutional image denoising D Valsesia, G Fracastoro, E Magli IEEE Transactions on Image Processing 29, 8226-8237, 2020 | 141 | 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 | 123 | 2019 |
| Compressed fingerprint matching and camera identification via random projections D Valsesia, G Coluccia, T Bianchi, E Magli IEEE Transactions on Information Forensics and Security 10 (7), 1472-1485, 2015 | 100 | 2015 |
| 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 | 70 | 2021 |
| A novel rate control algorithm for onboard predictive coding of multispectral and hyperspectral images D Valsesia, E Magli IEEE Transactions on Geoscience and Remote Sensing 52 (10), 6341-6355, 2014 | 63 | 2014 |
| Learning graph-convolutional representations for point cloud denoising F Pistilli, G Fracastoro, D Valsesia, E Magli European conference on computer vision, 103-118, 2020 | 58 | 2020 |
| Image Denoising with Graph-Convolutional Neural Networks D Valsesia, G Fracastoro, E Magli 2019 IEEE International Conference on Image Processing (ICIP), 2399-2403, 2019 | 58 | 2019 |
| User authentication via PRNU-based physical unclonable functions D Valsesia, G Coluccia, T Bianchi, E Magli IEEE Transactions on Information Forensics and Security 12 (8), 1941-1956, 2017 | 57 | 2017 |
| 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 | 45 | 2021 |
| Large-scale image retrieval based on compressed camera identification D Valsesia, G Coluccia, T Bianchi, E Magli IEEE Transactions on Multimedia 17 (9), 1439-1449, 2015 | 38 | 2015 |
| High-throughput onboard hyperspectral image compression with ground-based CNN reconstruction D Valsesia, E Magli IEEE transactions on geoscience and remote sensing 57 (12), 9544-9553, 2019 | 36 | 2019 |
| 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 | 34 | 2020 |
| Fast and lightweight rate control for onboard predictive coding of hyperspectral images D Valsesia, E Magli IEEE Geoscience and Remote Sensing Letters 14 (3), 394-398, 2017 | 32 | 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 | 29 | 2018 |
| Universal encoding of multispectral images D Valsesia, PT Boufounos 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 27 | 2016 |
| 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 | 26 | 2021 |
| Permutation invariance and uncertainty in multitemporal image super-resolution D Valsesia, E Magli IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2021 | 24 | 2021 |
| 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 | 24 | 2020 |
| Compressive signal processing with circulant sensing matrices D Valsesia, E Magli 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 22 | 2014 |
Enrico MagliProfessore Ordinario, Politecnico di TorinoVerified email at polito.it
