Giulia Fracastoro
Giulia Fracastoro
Verified email at polito.it
Title
Cited by
Cited by
Year
Learning localized generative models for 3d point clouds via graph convolution
D Valsesia, G Fracastoro, E Magli
International conference on learning representations, 2018
732018
Steerable discrete cosine transform
G Fracastoro, SM Fosson, E Magli
IEEE Transactions on Image Processing 26 (1), 303-314, 2017
542017
Steerable discrete cosine transform
G Fracastoro, E Magli
IEEE International Workshop on Multimedia Signal Processing (MMSP), 1-6, 2015
542015
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
522019
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
522014
Deep graph-convolutional image denoising
D Valsesia, G Fracastoro, E Magli
IEEE Transactions on Image Processing 29, 8226-8237, 2020
462020
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
322017
Image Denoising with Graph-Convolutional Neural Networks
D Valsesia, G Fracastoro, E Magli
2019 IEEE International Conference on Image Processing (ICIP), 2019
262019
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
252015
Predictive graph construction for image compression
G Fracastoro, E Magli
2015 IEEE International Conference on Image Processing (ICIP), 2204-2208, 2015
222015
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
202016
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
162018
Graph transform learning for image compression
G Fracastoro, D Thanou, P Frossard
2016 Picture Coding Symposium (PCS), 1-5, 2016
162016
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
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, 2021
122021
Graph transform optimization with application to image compression
G Fracastoro, D Thanou, P Frossard
IEEE Transactions on Image Processing 29, 419-432, 2019
12*2019
Steerable discrete Fourier transform
G Fracastoro, E Magli
IEEE Signal Processing Letters 24 (3), 319-323, 2017
112017
Towards deep unsupervised SAR despeckling with blind-spot convolutional neural networks
AB Molini, D Valsesia, G Fracastoro, E Magli
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
92020
Learning graph-convolutional representations for point cloud denoising
F Pistilli, G Fracastoro, D Valsesia, E Magli
European Conference on Computer Vision, 103-118, 2020
82020
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
52020
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