Archivio Istituzionale della RicercaVALSESIA, DIEGO
VALSESIA, DIEGO
Dipartimento di Elettronica e Telecomunicazioni
029934
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.
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
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.
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.
Deep Graph-Convolutional Image Denoising
2020 Valsesia, D.; Fracastoro, G.; Magli, E.
DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images
2020 Bordone Molini, A.; Valsesia, D.; Fracastoro, G.; Magli, E.
Analysis of SparseHash: An efficient embedding of set-similarity via sparse projections
2019 Valsesia, Diego; Fosson, Sophie M.; Ravazzi, Chiara; Bianchi, Tiziano; Magli, Enrico
High-throughput onboard hyperspectral image compression with ground-based CNN reconstruction
2019 Valsesia, D.; Magli, E.
Sampling of graph signals via randomized local aggregations
2019 Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico
ToothPic: camera-based image retrieval on large scales
2019 Valsesia, Diego; Coluccia, Giulio; Bianchi, Tiziano; Magli, Enrico
Onboard payload data compression and processing for spaceborne imaging
2018 Magli, Enrico; Valsesia, Diego; Vitulli, Raffaele
Binary Adaptive Embeddings from Order Statistics of Random Projections
2017 Valsesia, Diego; Magli, Enrico
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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: 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 |
| Analysis of SparseHash: An efficient embedding of set-similarity via sparse projections / Valsesia, Diego; Fosson, Sophie M.; Ravazzi, Chiara; Bianchi, Tiziano; Magli, Enrico. - In: PATTERN RECOGNITION LETTERS. - ISSN 0167-8655. - 128:(2019), pp. 93-99. [10.1016/j.patrec.2019.08.014] | 1-gen-2019 | Valsesia, DiegoFosson, Sophie M.Ravazzi, ChiaraBianchi, TizianoMagli, Enrico | 1909.01802.pdf |
| High-throughput onboard hyperspectral image compression with ground-based CNN reconstruction / Valsesia, D.; Magli, E.. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 1558-0644. - 57:12(2019), pp. 9544-9553. [10.1109/TGRS.2019.2927434] | 1-gen-2019 | Valsesia D.Magli E. | 08782791.pdf; postprint author.pdf |
| Sampling of graph signals via randomized local aggregations / Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico. - In: IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS. - ISSN 2373-776X. - 5:2(2019), pp. 348-359. [10.1109/TSIPN.2018.2869354] | 1-gen-2019 | Valsesia, DiegoFracastoro, GiuliaMagli, Enrico | main.pdf; Valsesia-Sampling.pdf |
| ToothPic: camera-based image retrieval on large scales / Valsesia, Diego; Coluccia, Giulio; Bianchi, Tiziano; Magli, Enrico. - In: IEEE MULTIMEDIA. - ISSN 1070-986X. - ELETTRONICO. - 26:2(2019), pp. 33-43. [10.1109/MMUL.2018.2873845] | 1-gen-2019 | Valsesia, DiegoColuccia, GiulioBianchi, TizianoMagli, Enrico | vals_MMUL2018_OA.pdf; vals_MMUL2018.pdf |
| Onboard payload data compression and processing for spaceborne imaging / Magli, Enrico; Valsesia, Diego; Vitulli, Raffaele. - In: INTERNATIONAL JOURNAL OF REMOTE SENSING. - ISSN 0143-1161. - 39:7(2018), pp. 1951-1952. [10.1080/01431161.2017.1409483] | 1-gen-2018 | Magli, EnricoValsesia, Diego + | - |
| Binary Adaptive Embeddings from Order Statistics of Random Projections / Valsesia, Diego; Magli, Enrico. - In: IEEE SIGNAL PROCESSING LETTERS. - ISSN 1070-9908. - 24:1(2017), pp. 111-115. [10.1109/LSP.2016.2639036] | 1-gen-2017 | VALSESIA, DIEGOMAGLI, ENRICO | Adaptive_embedding___Technical_report.pdf |