Archivio Istituzionale della RicercaFRACASTORO, GIULIA
FRACASTORO, GIULIA
Dipartimento di Elettronica e Telecomunicazioni
034125
Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning
2023 Cilia, Martina; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico
Clearing Payments in Dynamic Financial Networks
2022 Calafiore, Giuseppe; Fracastoro, Giulia; Proskurnikov, Anton V.
Signal Compression via Neural Implicit Representations
2022 Pistilli, F.; Valsesia, D.; Fracastoro, G.; Magli, E.
Age class structure in SIRD models for the COVID-19 - An analysis of Tennessee data
2021 Calafiore, G. C.; Fracastoro, G.
Denoise and Contrast for Category Agnostic Shape Completion
2021 Alliegro, Antonio; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico; Tommasi, Tatiana
On Optimal Clearing Payments in Financial Networks
2021 Calafiore, Giuseppe; Fracastoro, Giulia; Proskurnikov, Anton V.
DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images
2020 Molini, Andrea Bordone; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico
Learning Graph-Convolutional Representations for Point Cloud Denoising
2020 Pistilli, Francesca; Fracastoro, Giulia; Valsesia, Diego; Magli, Enrico
NIR image colorization with graph-convolutional neural networks
2020 Valsesia, D.; Fracastoro, G.; Magli, E.
Point Cloud Normal Estimation with Graph-Convolutional Neural Networks
2020 Pistilli, Francesca; Fracastoro, Giulia; Valsesia, Diego; Magli, Enrico
Sparse ι1 and ι2 center classifiers
2020 Calafiore, G. C.; Fracastoro, G.
Survival and Neural Models for Private Equity Exit Prediction
2020 Calafiore, G. C.; Morales, M. H.; Tiozzo, V.; Fracastoro, G.; Marquie, S.
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
2020 Molini, Andrea Bordone; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico
A Novel Framework for Designing Directional Linear Transforms with Application to Video Compression
2019 Masera, Maurizio; Fracastoro, Giulia; Martina, Maurizio; Magli, Enrico
Deep Learning For Super-Resolution Of Unregistered Multi-Temporal Satellite Images
2019 BORDONE MOLINI, Andrea; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico
Image Denoising with Graph-Convolutional Neural Networks
2019 Valsesia, D.; Fracastoro, G.; Magli, E.
Learning localized generative models for 3D point clouds via graph convolution
2019 Valsesia, D.; Fracastoro, G.; Magli, E.
Graph transform learning for image compression
2016 Fracastoro, Giulia; Thanou, Dorina; Frossard, Pascal
Subspace-sparsifying steerable discrete cosine transform from graph fourier transform
2016 Fracastoro, Giulia; Magli, Enrico
Predictive graph construction for image compression
2015 Fracastoro, Giulia; Magli, Enrico
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning / Cilia, Martina; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico. - ELETTRONICO. - (2023), pp. 1-5. (Intervento presentato al convegno ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) tenutosi a Rhodes Island, Greece nel 04-10 June 2023) [10.1109/ICASSP49357.2023.10096252]. | 1-gen-2023 | Cilia, MartinaValsesia, DiegoFracastoro, GiuliaMagli, Enrico | cilia_icassp.pdf; cilia_icassp_auhor.pdf |
| Clearing Payments in Dynamic Financial Networks / Calafiore, Giuseppe; Fracastoro, Giulia; Proskurnikov, Anton V.. - ELETTRONICO. - (2022), pp. 1123-1128. (Intervento presentato al convegno 2022 IEEE Conference on Control Technology and Applications (CCTA) tenutosi a Trieste nel 23-25 August 2022) [10.1109/CCTA49430.2022.9966044]. | 1-gen-2022 | Calafiore, GiuseppeFracastoro, GiuliaProskurnikov, Anton V. | Clearing_Payments_in_Dynamic_Financial_Networks.pdf; DynamicClearingNetworks_CCTA_new.pdf |
| Signal Compression via Neural Implicit Representations / Pistilli, F.; Valsesia, D.; Fracastoro, G.; Magli, E.. - ELETTRONICO. - May:(2022), pp. 3733-3737. (Intervento presentato al convegno IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) tenutosi a Singapore, Singapore nel 23-27 May 2022) [10.1109/ICASSP43922.2022.9747208]. | 1-gen-2022 | Pistilli F.Valsesia D.Fracastoro G.Magli E. | pistilli_icassp22.pdf; Valsesia-Signal.pdf |
| Age class structure in SIRD models for the COVID-19 - An analysis of Tennessee data / Calafiore, G. C.; Fracastoro, G.. - ELETTRONICO. - (2021), pp. 675-680. (Intervento presentato al convegno 29th Mediterranean Conference on Control and Automation, MED 2021 tenutosi a Puglia, Italy nel 22-25 June 2021) [10.1109/MED51440.2021.9480314]. | 1-gen-2021 | Calafiore G. C.Fracastoro G. | Age_class_structure_in_SIRD_models_for_the_COVID-19__An_analysis_of_Tennessee_data.pdf; mainMED21.pdf |
| Denoise and Contrast for Category Agnostic Shape Completion / Alliegro, Antonio; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico; Tommasi, Tatiana. - (2021), pp. 4627-4636. (Intervento presentato al convegno Conference on Computer Vision and Pattern Recognition (CVPR) nel 20-25 June 2021) [10.1109/CVPR46437.2021.00460]. | 1-gen-2021 | Antonio AlliegroDiego ValsesiaGiulia FracastoroEnrico MagliTatiana Tommasi | deco_cvpr2021.pdf; Denoise_and_Contrast_for_Category_Agnostic_Shape_Completion.pdf |
| On Optimal Clearing Payments in Financial Networks / Calafiore, Giuseppe; Fracastoro, Giulia; Proskurnikov, Anton V.. - ELETTRONICO. - (2021), pp. 4804-4810. (Intervento presentato al convegno 2021 60th IEEE Conference on Decision and Control (CDC) tenutosi a Austin, TX, USA nel 14-17 Dec. 2021) [10.1109/CDC45484.2021.9683072]. | 1-gen-2021 | Calafiore, GiuseppeFracastoro, GiuliaProskurnikov, Anton V. | On_Optimal_Clearing_Payments_in_Financial_Networks.pdf; CDC_version.pdf |
| DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images / Molini, Andrea Bordone; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico. - (2020), pp. 3644-3656. (Intervento presentato al convegno International Geoscience and Remote Sensing Symposium, IGARSS 2020) [10.1109/IGARSS39084.2020.9324418]. | 1-gen-2020 | Molini, Andrea BordoneValsesia, DiegoFracastoro, GiuliaMagli, Enrico | DeepSum_gconv.pdf; Valsesia-Deepsum1.pdf |
| Learning Graph-Convolutional Representations for Point Cloud Denoising / Pistilli, Francesca; Fracastoro, Giulia; Valsesia, Diego; Magli, Enrico. - ELETTRONICO. - (2020). (Intervento presentato al convegno European Conference on Computer Vision ECCV 2020) [10.1007/978-3-030-58565-5_7]. | 1-gen-2020 | Pistilli, FrancescaFracastoro, GiuliaValsesia, DiegoMagli, Enrico | 123650103.pdf; eccv20.pdf |
| NIR image colorization with graph-convolutional neural networks / Valsesia, D.; Fracastoro, G.; Magli, E.. - (2020), pp. 451-454. (Intervento presentato al convegno 2020 IEEE International Conference on Visual Communications and Image Processing, VCIP 2020 tenutosi a chn nel 2020) [10.1109/VCIP49819.2020.9301839]. | 1-gen-2020 | Valsesia D.Fracastoro G.Magli E. | NIR_colorization_author.pdf; 09301839.pdf |
| Point Cloud Normal Estimation with Graph-Convolutional Neural Networks / Pistilli, Francesca; Fracastoro, Giulia; Valsesia, Diego; Magli, Enrico. - ELETTRONICO. - (2020), pp. 1-6. (Intervento presentato al convegno 2020 IEEE International Conference on Multimedia & Expo - 3D Point Cloud Processing, Analysis, Compression, and Communication (PC-PACC) Workshop) [10.1109/ICMEW46912.2020.9105972]. | 1-gen-2020 | Pistilli, FrancescaFracastoro, GiuliaValsesia, DiegoMagli, Enrico | 09105972.pdf; PC_normal.pdf |
| Sparse ι1 and ι2 center classifiers / Calafiore, G. C.; Fracastoro, G.. - ELETTRONICO. - 53:(2020), pp. 518-523. (Intervento presentato al convegno 21st IFAC World Congress 2020 tenutosi a Berlin, Germany nel 11-17 July, 2020) [10.1016/j.ifacol.2020.12.322]. | 1-gen-2020 | Calafiore G. C.Fracastoro G. | 1-s2.0-S2405896320306030-main.pdf; main.pdf |
| Survival and Neural Models for Private Equity Exit Prediction / Calafiore, G. C.; Morales, M. H.; Tiozzo, V.; Fracastoro, G.; Marquie, S.. - ELETTRONICO. - 53:(2020), pp. 16983-16988. (Intervento presentato al convegno 21st IFAC World Congress 2020 tenutosi a Berlin, Germany nel 11-17 July, 2020) [10.1016/j.ifacol.2020.12.1248]. | 1-gen-2020 | Calafiore G. C.Morales M. H.Tiozzo V.Fracastoro G. + | 1-s2.0-S2405896320316499-main.pdf; survival_ifac.pdf |
| Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks / Molini, Andrea Bordone; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico. - ELETTRONICO. - (2020), pp. 2507-2510. (Intervento presentato al convegno International Geoscience and Remote Sensing Symposium (IGARSS)) [10.1109/IGARSS39084.2020.9324183]. | 1-gen-2020 | Molini, Andrea BordoneValsesia, DiegoFracastoro, GiuliaMagli Enrico | SAR_Despeckling.pdf; Valsesia-Towards.pdf |
| A Novel Framework for Designing Directional Linear Transforms with Application to Video Compression / Masera, Maurizio; Fracastoro, Giulia; Martina, Maurizio; Magli, Enrico. - ELETTRONICO. - (2019), pp. 1812-1816. (Intervento presentato al convegno IEEE International Conference on Acoustics, Speech and Signal Processing tenutosi a Brighton, United Kingdom nel 12-17 May 2019) [10.1109/ICASSP.2019.8683527]. | 1-gen-2019 | Masera, MaurizioFracastoro, GiuliaMartina, MaurizioMagli, Enrico | main.pdf |
| Deep Learning For Super-Resolution Of Unregistered Multi-Temporal Satellite Images / BORDONE MOLINI, Andrea; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico. - (2019), pp. 1-5. (Intervento presentato al convegno Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)) [10.1109/WHISPERS.2019.8920910]. | 1-gen-2019 | BORDONE MOLINI, ANDREAValsesia, DiegoFracastoro, GiuliaMagli, Enrico | 08920910.pdf |
| Image Denoising with Graph-Convolutional Neural Networks / Valsesia, D.; Fracastoro, G.; Magli, E.. - 2019-:(2019), pp. 2399-2403. (Intervento presentato al convegno 26th IEEE International Conference on Image Processing, ICIP 2019 tenutosi a Taipei International Convention Center (TICC), twn nel 2019) [10.1109/ICIP.2019.8803367]. | 1-gen-2019 | Valsesia D.Fracastoro G.Magli E. | GraphCNN_denoising.pdf; Valsesia_Image.pdf |
| Learning localized generative models for 3D point clouds via graph convolution / Valsesia, D.; Fracastoro, G.; Magli, E.. - (2019). (Intervento presentato al convegno 7th International Conference on Learning Representations, ICLR 2019 tenutosi a usa nel 2019). | 1-gen-2019 | Valsesia D.Fracastoro G.Magli E. | e9c04a77b67f082867a22c4fba0cf3d0a3c53b47.pdf |
| Graph transform learning for image compression / Fracastoro, Giulia; Thanou, Dorina; Frossard, Pascal. - (2016), pp. 1-5. (Intervento presentato al convegno Picture coding symposium (PCS) tenutosi a Nuremberg, Germany nel 4-7 Dicembre 2016) [10.1109/PCS.2016.7906368]. | 1-gen-2016 | FRACASTORO, GIULIA + | pcs2016.pdf |
| Subspace-sparsifying steerable discrete cosine transform from graph fourier transform / Fracastoro, Giulia; Magli, Enrico. - (2016), pp. 1534-1538. (Intervento presentato al convegno IEEE International Conference on Image Processing (ICIP)) [10.1109/ICIP.2016.7532615]. | 1-gen-2016 | FRACASTORO, GIULIAMAGLI, ENRICO | Fracastoro-Subspace.pdf |
| Predictive graph construction for image compression / Fracastoro, Giulia; Magli, Enrico. - ELETTRONICO. - (2015), pp. 2204-2208. (Intervento presentato al convegno 2015 IEEE International Conference on Image Processing nel Sept. 2015) [10.1109/ICIP.2015.7351192]. | 1-gen-2015 | FRACASTORO, GIULIAMAGLI, ENRICO | icip1_final.pdf |