Giulia Fracastoro
Giulia Fracastoro
Verified email at polito.it
Title
Cited by
Cited by
Year
Steerable discrete cosine transform
G Fracastoro, SM Fosson, E Magli
IEEE Transactions on Image Processing 26 (1), 303-314, 2017
492017
Steerable discrete cosine transform
G Fracastoro, E Magli
IEEE International Workshop on Multimedia Signal Processing (MMSP), 1-6, 2015
492015
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
472014
Learning localized generative models for 3d point clouds via graph convolution
D Valsesia, G Fracastoro, E Magli
International conference on learning representations, 2018
372018
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
342019
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 …, 2017
302017
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
232015
Deep graph-convolutional image denoising
D Valsesia, G Fracastoro, E Magli
IEEE Transactions on Image Processing 29, 8226-8237, 2020
212020
Predictive graph construction for image compression
G Fracastoro, E Magli
2015 IEEE International Conference on Image Processing (ICIP), 2204-2208, 2015
202015
Image Denoising with Graph-Convolutional Neural Networks
D Valsesia, G Fracastoro, E Magli
2019 IEEE International Conference on Image Processing (ICIP), 2019
182019
Diagnosing cleft lip pathology in 3D ultrasound: a landmarking-based approach
E Vezzetti, D Speranza, F Marcolin, G Fracastoro
Image Analysis & Stereology 35 (1), 53-65, 2016
182016
Exploiting 3d ultrasound for fetal diagnostic purpose through facial landmarking
E Vezzetti, D Speranza, F Marcolin, G Fracastoro, G Buscicchio
Image Analysis & Stereology 33 (3), 167-188, 2014
142014
Graph transform learning for image compression
G Fracastoro, D Thanou, P Frossard
2016 Picture Coding Symposium (PCS), 1-5, 2016
122016
Steerable discrete Fourier transform
G Fracastoro, E Magli
IEEE Signal Processing Letters 24 (3), 319-323, 2017
102017
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
92018
Graph transform optimization with application to image compression
G Fracastoro, D Thanou, P Frossard
IEEE Transactions on Image Processing 29, 419-432, 2019
7*2019
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
A Bordone Molini, D Valsesia, G Fracastoro, E Magli
arXiv e-prints, arXiv: 2001.05264, 2020
6*2020
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
A Bordone Molini, D Valsesia, G Fracastoro, E Magli
arXiv e-prints, arXiv: 2007.02075, 2020
4*2020
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
32020
Deep learning for super-resolution of unregistered multi-temporal satellite images
AB Molini, D Valsesia, G Fracastoro, E Magli
2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2019
32019
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Articles 1–20