MAGLI, ENRICO
MAGLI, ENRICO
Dipartimento di Elettronica e Telecomunicazioni
003507
Cancelable templates for secure face verification based on deep learning and random projections
2024 Ali, Arslan; Migliorati, Andrea; Bianchi, Tiziano; Magli, Enrico
Deep learning based prediction of traffic peaks in mobile networks
2024 Li, Shuyang; Magli, Enrico; Francini, Gianluca; Ghinamo, Giorgio
Fast Inference in Denoising Diffusion Models via MMD Finetuning
2024 Aiello, Emanuele; Valsesia, Diego; Magli, Enrico
Synthetic Data Pretraining for Hyperspectral Image Super-Resolution
2024 Aiello, E.; Agarla, M.; Valsesia, D.; Napoletano, P.; Bianchi, T.; Magli, E.; Schettini, R.
Compressive Sensing Imaging Spectrometer for UV-Vis Stellar Spectroscopy: Instrumental Concept and Performance Analysis
2023 Nardino, V.; Guzzi, D.; Lastri, C.; Palombi, L.; Coluccia, G.; Magli, E.; Labate, D.; Raimondi, V.
Data Simulations of a Compressive Sensing Multispectral Imager in the Mid-Infrared Region and Its Performances for the Monitoring of High-Temperature Events
2023 Guzzi, Donatella; Baldi, Massimo; Bianchi, Tiziano; Buongiorno, Fabrizia; Lastri, Cinzia; Magli, Enrico; Nardino, Vanni; Palombi, Lorenzo; Romaniello, Vito; Scopa, Tiziana; Siciliani de Cumis, Mario; Silvestri, Malvina; Valsesia, Diego; Raimondi, Valentina
Exploring the Potential of Compressive Sensing Payloads for Earth Observation from Geostationary Platforms: An Instrumental Concept for Fire Monitoring
2023 Borrelli, Donato; Baldi, Massimo; Berndt, Dirk; Bertoncini, Lucas; Bianchi, Tiziano; Bischof, Lionel; Borque Gallego, Guzman; Carlà, Roberto; Coppo, Peter; Corti, Chiara; Corti, Francesco; Corti, Marco; Cox, Nick; Dauderstädt, Ulrike A.; Dürr, Peter; Franci, Enrico; González, Sara Francés; Gonnelli, Andrea; Guerri, Irene; Guzzi, Donatella; Humbert, Stéphane; Labate, Demetrio; Lamquin, Nicolas; Lastri, Cinzia; Magli, Enrico; Marzi, Emiliano; Migliorati, Andrea; Nardino, Vanni; Pache, Christophe; Palombi, Lorenzo; Piccirillo, Alice Maria; Pilato, Giuseppe; Suetta, Enrico; Taddei, Dario; Valsesia, Diego; Wagner, Michael; Raimondi, Valentina
Gaussian class-conditional simplex loss for accurate, adversarially robust deep classifier training
2023 Ali, Arslan; Migliorati, Andrea; Bianchi, Tiziano; Magli, Enrico
Multimedia Signal Processing: A history of the Multimedia Signal Processing Technical Committee
2023 Bajić, Ivan V.; Mrak, Marta; Dufaux, Frédéric; Magli, Enrico; Chen, Tsuhan
Temporal dynamics clustering for analyzing cell behavior in mobile networks
2023 Li, Shuyang; Francini, Gianluca; Magli, Enrico
Deep motion‐compensation enhancement in video compression
2022 Prette, Nicola; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico; Naccari, Matteo; Fiandrotti, Attilio
Permutation invariance and uncertainty in multitemporal image super-resolution
2022 Valsesia, D.; Magli, E.
Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification
2022 Montanaro, Antonio; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
2022 Molini, A. B.; Valsesia, D.; Fracastoro, G.; Magli, E.
Deep Learning Methods for Synthetic Aperture Radar Image Despeckling: An Overview of Trends and Perspectives
2021 Fracastoro, G.; Magli, E.; Poggi, G.; Scarpa, G.; Valsesia, D.; Verdoliva, L.
Exploiting color for graph-based 3D point cloud denoising
2021 Irfan, Muhammad Abeer; Magli, Enrico
Joint geometry and color point cloud denoising based on graph wavelets
2021 Irfan, Muhammad Abeer; Magli, Enrico
Learning Localized Representations of Point Clouds with Graph-Convolutional Generative Adversarial Networks
2021 Valsesia, D.; Fracastoro, G.; Magli, E.
Learning Robust Graph-Convolutional Representations for Point Cloud Denoising
2021 Pistilli, F.; Fracastoro, G.; Valsesia, D.; Magli, E.
RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks
2021 Valsesia, D.; Fracastoro, G.; Magli, E.
Citazione | Data di pubblicazione | Autori | File |
---|---|---|---|
Cancelable templates for secure face verification based on deep learning and random projections / Ali, Arslan; Migliorati, Andrea; Bianchi, Tiziano; Magli, Enrico. - In: EURASIP JOURNAL ON INFORMATION SECURITY. - ISSN 2510-523X. - ELETTRONICO. - 1(2024), pp. 1-18. [10.1186/s13635-023-00147-y] | 1-gen-2024 | Ali, ArslanMigliorati, AndreaBianchi, TizianoMagli, Enrico | s13635-023-00147-y.pdf |
Deep learning based prediction of traffic peaks in mobile networks / Li, Shuyang; Magli, Enrico; Francini, Gianluca; Ghinamo, Giorgio. - In: COMPUTER NETWORKS. - ISSN 1389-1286. - STAMPA. - 240:(2024). [10.1016/j.comnet.2023.110167] | 1-gen-2024 | Li, ShuyangMagli, Enrico + | Elsevier Deep learning based prediction of traffic peaks in mobile networks.pdf; manuscript_Elsevier_CN.pdf |
Fast Inference in Denoising Diffusion Models via MMD Finetuning / Aiello, Emanuele; Valsesia, Diego; Magli, Enrico. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 12:(2024), pp. 106912-106923. [10.1109/access.2024.3436698] | 1-gen-2024 | Aiello, EmanueleValsesia, DiegoMagli, Enrico | Fast_Inference_in_Denoising_Diffusion_Models_via_MMD_Finetuning.pdf |
Synthetic Data Pretraining for Hyperspectral Image Super-Resolution / Aiello, E.; Agarla, M.; Valsesia, D.; Napoletano, P.; Bianchi, T.; Magli, E.; Schettini, R.. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 12:(2024), pp. 65024-65031. [10.1109/ACCESS.2024.3396990] | 1-gen-2024 | Aiello E.Agarla M.Valsesia D.Bianchi T.Magli E. + | Synthetic_Data_Pretraining_for_Hyperspectral_Image_Super-Resolution.pdf |
Compressive Sensing Imaging Spectrometer for UV-Vis Stellar Spectroscopy: Instrumental Concept and Performance Analysis / Nardino, V.; Guzzi, D.; Lastri, C.; Palombi, L.; Coluccia, G.; Magli, E.; Labate, D.; Raimondi, V.. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 23:4(2023), pp. 1-24. [10.3390/s23042269] | 1-gen-2023 | Magli E. + | sensors-23-02269.pdf |
Data Simulations of a Compressive Sensing Multispectral Imager in the Mid-Infrared Region and Its Performances for the Monitoring of High-Temperature Events / Guzzi, Donatella; Baldi, Massimo; Bianchi, Tiziano; Buongiorno, Fabrizia; Lastri, Cinzia; 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. - 51:1(2023), pp. 1-5. [10.3390/engproc2023051031] | 1-gen-2023 | Bianchi, TizianoMagli, EnricoValsesia, Diego + | engproc-51-00031.pdf |
Exploring the Potential of Compressive Sensing Payloads for Earth Observation from Geostationary Platforms: An Instrumental Concept for Fire Monitoring / Borrelli, Donato; Baldi, Massimo; Berndt, Dirk; Bertoncini, Lucas; Bianchi, Tiziano; Bischof, Lionel; Borque Gallego, Guzman; Carlà, Roberto; Coppo, Peter; Corti, Chiara; Corti, Francesco; Corti, Marco; Cox, Nick; Dauderstädt, Ulrike A.; Dürr, Peter; Franci, Enrico; González, Sara Francés; Gonnelli, Andrea; Guerri, Irene; Guzzi, Donatella; Humbert, Stéphane; Labate, Demetrio; Lamquin, Nicolas; Lastri, Cinzia; Magli, Enrico; Marzi, Emiliano; Migliorati, Andrea; Nardino, Vanni; Pache, Christophe; Palombi, Lorenzo; Piccirillo, Alice Maria; Pilato, Giuseppe; Suetta, Enrico; Taddei, Dario; Valsesia, Diego; Wagner, Michael; Raimondi, Valentina. - In: ENGINEERING PROCEEDINGS. - ISSN 2673-4591. - ELETTRONICO. - 51:1(2023), pp. 1-5. [10.3390/engproc2023051032] | 1-gen-2023 | Bianchi, TizianoMagli, EnricoMigliorati, AndreaValsesia, Diego + | engproc-51-00032.pdf |
Gaussian class-conditional simplex loss for accurate, adversarially robust deep classifier training / Ali, Arslan; Migliorati, Andrea; Bianchi, Tiziano; Magli, Enrico. - In: EURASIP JOURNAL ON INFORMATION SECURITY. - ISSN 2510-523X. - ELETTRONICO. - 2023:1(2023), pp. 1-17. [10.1186/s13635-023-00137-0] | 1-gen-2023 | Andrea MiglioratiTiziano BianchiEnrico Magli + | s13635-023-00137-0.pdf |
Multimedia Signal Processing: A history of the Multimedia Signal Processing Technical Committee / Bajić, Ivan V.; Mrak, Marta; Dufaux, Frédéric; Magli, Enrico; Chen, Tsuhan. - In: IEEE SIGNAL PROCESSING MAGAZINE. - ISSN 1053-5888. - ELETTRONICO. - 40:4(2023), pp. 72-79. [10.1109/MSP.2023.3260989] | 1-gen-2023 | Enrico Magli + | Multimedia_Signal_Processing_A_history_of_the_Multimedia_Signal_Processing_Technical_Committee.pdf; MMSP - SPM paper - final version.pdf |
Temporal dynamics clustering for analyzing cell behavior in mobile networks / Li, Shuyang; Francini, Gianluca; Magli, Enrico. - In: COMPUTER NETWORKS. - ISSN 1389-1286. - ELETTRONICO. - 223:(2023), p. 109578. [10.1016/j.comnet.2023.109578] | 1-gen-2023 | Li, ShuyangMagli, Enrico + | 1-s2.0-S1389128623000233-main.pdf; TemporalDynamicClustering_compressed.pdf |
Deep motion‐compensation enhancement in video compression / Prette, Nicola; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico; Naccari, Matteo; Fiandrotti, Attilio. - In: ELECTRONICS LETTERS. - ISSN 0013-5194. - ELETTRONICO. - (2022). [10.1049/ell2.12475] | 1-gen-2022 | Prette, NicolaValsesia, DiegoBianchi, TizianoMagli, Enrico + | Electronics Letters - 2022 - Prette - Deep motion‐compensation enhancement in video compression.pdf |
Permutation invariance and uncertainty in multitemporal image super-resolution / Valsesia, D.; Magli, E.. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - STAMPA. - 60:(2022), pp. 1-12. [10.1109/TGRS.2021.3130673] | 1-gen-2022 | Valsesia D.Magli E. | Permutation_invariant_multitemporal_SR(2).pdf; Valsesia-Permutation.pdf |
Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification / Montanaro, Antonio; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico. - In: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. - ISSN 1545-598X. - STAMPA. - 19:(2022), pp. 1-5. [10.1109/lgrs.2022.3195259] | 1-gen-2022 | Antonio MontanaroDiego ValsesiaGiulia FracastoroEnrico Magli | Semi-Supervised_Learning_for_Joint_SAR_and_Multispectral_Land_Cover_Classification.pdf; Self_supervised_multispectral_segmentation.pdf |
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks / Molini, A. B.; Valsesia, D.; Fracastoro, G.; Magli, E.. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - STAMPA. - 60:(2022), pp. 1-17. [10.1109/TGRS.2021.3065461] | 1-gen-2022 | Valsesia D.Fracastoro G.Magli E. + | SAR_Despeckling(1).pdf; Valsesia-Speckle2Void.pdf |
Deep Learning Methods for Synthetic Aperture Radar Image Despeckling: An Overview of Trends and Perspectives / Fracastoro, G.; Magli, E.; Poggi, G.; Scarpa, G.; Valsesia, D.; Verdoliva, L.. - In: IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE. - ISSN 2168-6831. - ELETTRONICO. - 9:2(2021), pp. 29-51. [10.1109/MGRS.2021.3070956] | 1-gen-2021 | Fracastoro G.Magli E.Valsesia D. + | Deep_Learning_Methods_For_Synthetic_Aperture_Radar_Image_Despeckling_An_Overview_Of_Trends_And_Perspectives.pdf; main.pdf |
Exploiting color for graph-based 3D point cloud denoising / Irfan, Muhammad Abeer; Magli, Enrico. - In: JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION. - ISSN 1047-3203. - STAMPA. - 75:(2021), pp. 1-20. [10.1016/j.jvcir.2021.103027] | 1-gen-2021 | Irfan, Muhammad AbeerMagli, Enrico | Published-Article.pdf; main_file.pdf |
Joint geometry and color point cloud denoising based on graph wavelets / Irfan, Muhammad Abeer; Magli, Enrico. - In: IEEE ACCESS. - ISSN 2169-3536. - 9:(2021), pp. 21149-21166. [10.1109/ACCESS.2021.3054171] | 1-gen-2021 | Irfan, Muhammad AbeerMagli, Enrico | Irfan-Joint2.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 |
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 |
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 |