Archivio Istituzionale della RicercaSfoglia per Autore
The SURPRISE demonstrator: a super-resolved compressive instrument in the visible and medium infrared for Earth Observation
2020 Raimondi, Valentina; Acampora, Luigi; Amato, Gabriele; Baldi, Massimo; Berndt, Dirk; Bianchi, Alberto; Bianchi, Tiziano; Colcelli, Valentina; Corti, Chiara; Corti, Francesco; Corti, Marco; Cox, Nick; Dauderstädt, Ulrike A.; Dürr, Peter; Francés González, Sara; Frosini, Paolo; Guzzi, Donatella; Huntingford, Jessica; Labate, Demetrio; Lamquin, Nicolas; Lastri, Cinzia; Magli, Enrico; Nardino, Vanni; Palombi, Lorenzo; Pettinelli, Irene; Pilato, Giuseppe; Pollini, Alexandre; Rossini, Leopoldo; Suetta, Enrico; Taricco, Davide; Valsesia, Diego; Wagner, Michael
Learning Graph-Convolutional Representations for Point Cloud Denoising
2020 Pistilli, Francesca; Fracastoro, Giulia; Valsesia, Diego; Magli, Enrico
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
2020 Molini, Andrea Bordone; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico
Detection of Solar Coronal Mass Ejections from Raw Images with Deep Convolutional Neural Networks
2020 Valsesia, D.; Grippi, A.; Magli, E.; Susino, R.; Telloni, D.; Nicolini, G.; Casti, M.; Mulone, A. F.; Messineo, R.
DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images
2020 Bordone Molini, A.; Valsesia, D.; Fracastoro, G.; Magli, E.
Deep Graph-Convolutional Image Denoising
2020 Valsesia, D.; Fracastoro, G.; Magli, E.
DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images
2020 Molini, Andrea Bordone; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico
Point Cloud Normal Estimation with Graph-Convolutional Neural Networks
2020 Pistilli, Francesca; Fracastoro, Giulia; Valsesia, Diego; Magli, Enrico
NIR image colorization with graph-convolutional neural networks
2020 Valsesia, D.; Fracastoro, G.; Magli, E.
Compressive imaging and deep learning based image reconstruction methods in the "SURPRISE" EU project
2021 Magli, Enrico; Bianchi, Tiziano; Guzzi, Donatella; Lastri, Cinzia; Nardino, Vanni; Palombi, Lorenzo; Raimondi, Valentina; Taricco, Davide; Valsesia, Diego
Graph neural networks for image processing
2021 Fracastoro, G.; Valsesia, D.
Graph Neural Networks
2021 Fracastoro, Giulia; Valsesia, Diego
Deep Multiframe Enhancement for Motion Prediction in Video Compression
2021 Prette, N.; Valsesia, D.; Bianchi, T.
Denoise and Contrast for Category Agnostic Shape Completion
2021 Alliegro, Antonio; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico; Tommasi, Tatiana
RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks
2021 Valsesia, D.; Fracastoro, G.; Magli, E.
Learning Localized Representations of Point Clouds with Graph-Convolutional Generative Adversarial Networks
2021 Valsesia, D.; Fracastoro, G.; Magli, E.
Spatial Light Modulator-Based Architecture to Implement a Super-Resolved Compressive Instrument for Earth Observation
2021 Raimondi, Valentina; Acampora, Luigi; Amato, Gabriele; Baldi, Massimo; Berndt, Dirk; Bianchi, Alberto; Bianchi, Tiziano; Borrelli, Donato; Colcelli, Valentina; Corti, Chiara; Corti, Francesco; Corti, Marco; Cox, Nick; Dauderstadt, Ulrike A.; Durr, Peter; Gonzalez, Sara Frances; Frosini, Paolo; Guzzi, Donatella; Huntingford, Jessica; Kunze, Detlef; Labate, Demetrio; Lamquin, Nicolas; Lastri, Cinzia; Magli, Enrico; Nardino, Vanni; Pache, Christophe; Palombi, Lorenzo; Pettinelli, Irene; Pilato, Giuseppe; Pollini, Alexandre; Rossini, Leopoldo; Suetta, Enrico; Taricco, Davide; Valsesia, Diego; Wagner, Michael
Designing a Compressive Sensing Demonstrator of an Earth Observation Payload in the Visible and Medium Infrared: Instrumental Concept and Main Features †
2021 Raimondi, V.; Acampora, L.; Baldi, M.; Berndt, D.; Bianchi, T.; Borrelli, D.; Corti, C.; Corti, F.; Corti, M.; Cox, N.; Dauderstadt, U. A.; Durr, P.; Fruchi, A.; Gonzalez, S. F.; Guzzi, D.; Kunze, D.; Labate, D.; Lamquin, N.; Lastri, C.; Magli, E.; Nardino, V.; Pache, C.; Palombi, L.; Pilato, G.; Pollini, A.; Suetta, E.; Taddei, D.; Taricco, D.; Valsesia, D.; Wagner, M.
Learning Robust Graph-Convolutional Representations for Point Cloud Denoising
2021 Pistilli, F.; Fracastoro, G.; Valsesia, D.; Magli, E.
SISSI Project: A Feasibility Study for a Super Resolved Compressive Sensing Multispectral Imager in the Medium Infrared
2021 Lastri, Cinzia; Amato, Gabriele; Baldi, Massimo; Bianchi, Tiziano; Fabrizia Buongiorno, Maria; Corti, Chiara; Corti, Francesco; Corti, Marco; Franci, Enrico; Guzzi, Donatella; Magli, Enrico; Nardino, Vanni; Palombi, Lorenzo; Romaniello, Vito; Scopa, Tiziana; Siciliani De Cumis, Mario; Silvestri, Malvina; Valsesia, Diego; Raimondi, Valentina
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| The SURPRISE demonstrator: a super-resolved compressive instrument in the visible and medium infrared for Earth Observation / Raimondi, Valentina; Acampora, Luigi; Amato, Gabriele; Baldi, Massimo; Berndt, Dirk; Bianchi, Alberto; Bianchi, Tiziano; Colcelli, Valentina; Corti, Chiara; Corti, Francesco; Corti, Marco; Cox, Nick; Dauderstädt, Ulrike A.; Dürr, Peter; Francés González, Sara; Frosini, Paolo; Guzzi, Donatella; Huntingford, Jessica; Labate, Demetrio; Lamquin, Nicolas; Lastri, Cinzia; Magli, Enrico; Nardino, Vanni; Palombi, Lorenzo; Pettinelli, Irene; Pilato, Giuseppe; Pollini, Alexandre; Rossini, Leopoldo; Suetta, Enrico; Taricco, Davide; Valsesia, Diego; Wagner, Michael. - ELETTRONICO. - (2020), pp. 1-6. (Intervento presentato al convegno 7th International Workshop on On-Board Payload Data Compression (OBPDC2020) tenutosi a Online event nel 21-23 September 2020). | 1-gen-2020 | Tiziano BianchiEnrico MagliDavide TariccoDiego Valsesia + | OBPDC-SURPRISE - VF2.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 |
| 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 |
| Detection of Solar Coronal Mass Ejections from Raw Images with Deep Convolutional Neural Networks / Valsesia, D.; Grippi, A.; Magli, E.; Susino, R.; Telloni, D.; Nicolini, G.; Casti, M.; Mulone, A. F.; Messineo, R.. - (2020), pp. 2272-2275. (Intervento presentato al convegno 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 tenutosi a usa nel 2020) [10.1109/IGARSS39084.2020.9323169]. | 1-gen-2020 | Valsesia D.Magli E. + | solar_igarss_author.pdf; 09323169.pdf |
| DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images / Bordone Molini, A.; Valsesia, D.; Fracastoro, G.; Magli, E.. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - 58:5(2020), pp. 3644-3656. [10.1109/TGRS.2019.2959248] | 1-gen-2020 | Bordone Molini A.Valsesia D.Fracastoro G.Magli E. | main_R1.pdf; Valsesia-DeepSUM.pdf |
| Deep Graph-Convolutional Image Denoising / Valsesia, D.; Fracastoro, G.; Magli, E.. - In: IEEE TRANSACTIONS ON IMAGE PROCESSING. - ISSN 1057-7149. - 29:(2020), pp. 8226-8237. [10.1109/TIP.2020.3013166] | 1-gen-2020 | Valsesia D.Fracastoro G.Magli E. | GraphCNN_denoising(1).pdf; Valsesia-DeepGraph.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 |
| 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 |
| 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 |
| Compressive imaging and deep learning based image reconstruction methods in the "SURPRISE" EU project / Magli, Enrico; Bianchi, Tiziano; Guzzi, Donatella; Lastri, Cinzia; Nardino, Vanni; Palombi, Lorenzo; Raimondi, Valentina; Taricco, Davide; Valsesia, Diego. - ELETTRONICO. - (2021), pp. 1-8. (Intervento presentato al convegno OBDP2021 - 2nd European Workshop on On-Board Data Processing tenutosi a Online event nel 14-17 June 2021) [10.5281/zenodo.5575137]. | 1-gen-2021 | Enrico MagliTiziano BianchiDavide TariccoDiego Valsesia + | 03.01_OBDP2021_Magli.pdf |
| Graph neural networks for image processing / Fracastoro, G.; Valsesia, D. - In: Graph Spectral Image ProcessingSTAMPA. - [s.l] : Wiley, 2021. - ISBN 9781789450286. - pp. 277-297 [10.1002/9781119850830.ch10] | 1-gen-2021 | Fracastoro G.Valsesia D. | gsip_ch10.pdf |
| Graph Neural Networks / Fracastoro, Giulia; Valsesia, Diego - In: Graph Spectral Image ProcessingSTAMPA. - [s.l] : Wiley, 2021. - ISBN 9781789450286. - pp. 63-72 [10.1002/9781119850830.ch3] | 1-gen-2021 | Giulia FracastoroDiego Valsesia | gsip_ch3.pdf |
| Deep Multiframe Enhancement for Motion Prediction in Video Compression / Prette, N.; Valsesia, D.; Bianchi, T.. - ELETTRONICO. - (2021), pp. 1-6. (Intervento presentato al convegno 28th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2021 tenutosi a Dubai, United Arab Emirates nel 28 Nov.-1 Dec. 2021) [10.1109/ICECS53924.2021.9665523]. | 1-gen-2021 | Prette N.Valsesia D.Bianchi T. | Prette_ICECS22.pdf; Valsesia-DeepMultiframe.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 |
| RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks / Valsesia, D.; Fracastoro, G.; Magli, E.. - In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. - ISSN 2162-237X. - STAMPA. - (2021). [10.1109/TNNLS.2021.3118450] | 1-gen-2021 | Valsesia D.Fracastoro G.Magli E. | RAN-GNNs_Breaking_the_Capacity_Limits_of_Graph_Neural_Networks.pdf; RandomNN.pdf |
| Learning Localized Representations of Point Clouds with Graph-Convolutional Generative Adversarial Networks / Valsesia, D.; Fracastoro, G.; Magli, E.. - In: IEEE TRANSACTIONS ON MULTIMEDIA. - ISSN 1520-9210. - 23:(2021), pp. 402-414. [10.1109/TMM.2020.2976627] | 1-gen-2021 | Valsesia D.Fracastoro G.Magli E. | PointCloud_GAN.pdf; 09016091.pdf |
| Spatial Light Modulator-Based Architecture to Implement a Super-Resolved Compressive Instrument for Earth Observation / Raimondi, Valentina; Acampora, Luigi; Amato, Gabriele; Baldi, Massimo; Berndt, Dirk; Bianchi, Alberto; Bianchi, Tiziano; Borrelli, Donato; Colcelli, Valentina; Corti, Chiara; Corti, Francesco; Corti, Marco; Cox, Nick; Dauderstadt, Ulrike A.; Durr, Peter; Gonzalez, Sara Frances; Frosini, Paolo; Guzzi, Donatella; Huntingford, Jessica; Kunze, Detlef; Labate, Demetrio; Lamquin, Nicolas; Lastri, Cinzia; Magli, Enrico; Nardino, Vanni; Pache, Christophe; Palombi, Lorenzo; Pettinelli, Irene; Pilato, Giuseppe; Pollini, Alexandre; Rossini, Leopoldo; Suetta, Enrico; Taricco, Davide; Valsesia, Diego; Wagner, Michael. - ELETTRONICO. - (2021), pp. 7864-7867. (Intervento presentato al convegno 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS tenutosi a Brussels, Belgium nel 11-16 July 2021) [10.1109/IGARSS47720.2021.9554343]. | 1-gen-2021 | Bianchi, TizianoMagli, EnricoTaricco, DavideValsesia, Diego + | Spatial_Light_Modulator-Based_Architecture_to_Implement_a_Super-Resolved_Compressive_Instrument_for_Earth_Observation.pdf; RAIMONDI-IGARSS2021.pdf |
| Designing a Compressive Sensing Demonstrator of an Earth Observation Payload in the Visible and Medium Infrared: Instrumental Concept and Main Features † / Raimondi, V.; Acampora, L.; Baldi, M.; Berndt, D.; Bianchi, T.; Borrelli, D.; Corti, C.; Corti, F.; Corti, M.; Cox, N.; Dauderstadt, U. A.; Durr, P.; Fruchi, A.; Gonzalez, S. F.; Guzzi, D.; Kunze, D.; Labate, D.; Lamquin, N.; Lastri, C.; Magli, E.; Nardino, V.; Pache, C.; Palombi, L.; Pilato, G.; Pollini, A.; Suetta, E.; Taddei, D.; Taricco, D.; Valsesia, D.; Wagner, M.. - In: ENGINEERING PROCEEDINGS. - ISSN 2673-4591. - ELETTRONICO. - 8:(2021), pp. 1-5. (Intervento presentato al convegno AITA 2021 - International Workshop on Advanced Infrared Technology and Applications tenutosi a online nel 26–28 October 2021) [10.3390/engproc2021008027]. | 1-gen-2021 | Bianchi T.Magli E.Taricco D.Valsesia D. + | engproc-08-00027-v2.pdf |
| Learning Robust Graph-Convolutional Representations for Point Cloud Denoising / Pistilli, F.; Fracastoro, G.; Valsesia, D.; Magli, E.. - In: IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING. - ISSN 1932-4553. - 15:2(2021), pp. 402-414. [10.1109/JSTSP.2020.3047471] | 1-gen-2021 | Pistilli F.Fracastoro G.Valsesia D.Magli E. | main.pdf; 09309029.pdf |
| SISSI Project: A Feasibility Study for a Super Resolved Compressive Sensing Multispectral Imager in the Medium Infrared / Lastri, Cinzia; Amato, Gabriele; Baldi, Massimo; Bianchi, Tiziano; Fabrizia Buongiorno, Maria; Corti, Chiara; Corti, Francesco; Corti, Marco; Franci, Enrico; Guzzi, Donatella; Magli, Enrico; Nardino, Vanni; Palombi, Lorenzo; Romaniello, Vito; Scopa, Tiziana; Siciliani De Cumis, Mario; Silvestri, Malvina; Valsesia, Diego; Raimondi, Valentina. - In: ENGINEERING PROCEEDINGS. - ISSN 2673-4591. - ELETTRONICO. - 8:(2021), pp. 1-5. (Intervento presentato al convegno AITA 2021 - International Workshop on Advanced Infrared Technology and Applications tenutosi a online nel 26–28 October 2021) [10.3390/engproc2021008028]. | 1-gen-2021 | Tiziano BianchiENRICO MAGLIDIEGO VALSESIA + | engproc-08-00028.pdf |
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile