Archivio Istituzionale della RicercaVALSESIA, DIEGO
VALSESIA, DIEGO
Dipartimento di Elettronica e Telecomunicazioni
029934
A Novel Method and Dataset for Depth-Guided Image Deblurring From Smartphone Lidar
2025 Montanaro, Antonio; Valsesia, Diego
Efficient Onboard Multitask AI Architecture Based on Self-Supervised Learning
2025 Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico
Modeling Uncertainty for Gaussian Splatting
2025 SAVANT AIRA, Luca; Valsesia, Diego; Magli, Enrico
A multi-service edge-AI architecture based on self-supervised learning
2024 Magli, E; Angarano, S.; Bassetti, S.; Bianchi, T.; Boccardo, P.; Bucci, S.; Chiaberge, M.; Inzerillo, G.; Lisi, D.; Mascetti, G.; Mergè, M.; Monaco, C.; Pasturensi, M.; Piccinini, D.; Valsesia, D.; Zema, G.
A new architecture for onboard change detection based on deep learning
2024 Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico; Fiengo, Aniello
Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow
2024 Aira, Luca Savant; Valsesia, Diego; Molini, Andrea Bordone; Fracastoro, Giulia; Magli, Enrico; Mirabile, Andrea
Deep Learning Methods for Satellite Image Super-Resolution
2024 Valsesia, Diego; Magli, Enrico
Degradation-Aware Self-Supervised Multi-Temporal Super-Resolution
2024 Impieri, Matteo; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico
Fast Inference in Denoising Diffusion Models via MMD Finetuning
2024 Aiello, Emanuele; Valsesia, Diego; Magli, Enrico
Hybrid Recurrent-Attentive Neural Network for Onboard Predictive Hyperspectral Image Compression
2024 Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico
MOTIONCRAFT: Physics-based Zero-Shot Video Generation
2024 Montanaro, A.; SAVANT AIRA, Luca; Aiello, E.; Valsesia, D.; Magli, E.
Multitask AI for onboard intelligence in Earth observation missions
2024 Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico
Onboard Deep Lossless and Near-Lossless Predictive Coding of Hyperspectral Images With Line-Based Attention
2024 Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico
Onboard hyperspectral image compression with deep line-based predictove architectures
2024 Valsesia, Diego; Bianchi, Tiziano; 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
Diffraction Efficiency-Aware Reconstruction for Compressive Sensing in the Mid-Infrared
2023 Bianchi, Tiziano; Guzzi, Donatella; Lastri, Cinzia; Magli, Enrico; Nardino, Vanni; Palombi, Lorenzo; Prette, Nicola; Raimondi, Valentina; Valsesia, Diego
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
GMLD: A TOOL TO INVESTIGATE AND DEMONSTRATE THE USE OF ML IN VARIOUS AREAS OF GNSS DOMAIN
2023 Leuzzi, Chiara; Nardin, Andrea; Madaro, A.; Messineo, Rosario; Dovis, Fabio; Valsesia, Diego; Magli, Enrico; Sobreira, Hugo; Swinden, Richard
Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning
2023 Cilia, Martina; Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A Novel Method and Dataset for Depth-Guided Image Deblurring From Smartphone Lidar / Montanaro, Antonio; Valsesia, Diego. - (2025), pp. 175-180. (Intervento presentato al convegno 2025 IEEE International Conference on Image Processing (ICIP) tenutosi a Anchorage (USA) nel 14-18 September 2025) [10.1109/icip55913.2025.11084288]. | 1-gen-2025 | Montanaro, AntonioValsesia, Diego | main.pdf; A_Novel_Method_and_Dataset_for_Depth-Guided_Image_Deblurring_From_Smartphone_Lidar.pdf |
| Efficient Onboard Multitask AI Architecture Based on Self-Supervised Learning / Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico. - In: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. - ISSN 1939-1404. - 18:(2025), pp. 828-838. [10.1109/jstars.2024.3502776] | 1-gen-2025 | Inzerillo, GabrieleValsesia, DiegoMagli, Enrico | Efficient_Onboard_Multitask_AI_Architecture_Based_on_Self-Supervised_Learning.pdf |
| Modeling Uncertainty for Gaussian Splatting / SAVANT AIRA, Luca; Valsesia, Diego; Magli, Enrico. - In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. - ISSN 2162-237X. - (2025), pp. 1-7. [10.1109/TNNLS.2025.3553582] | 1-gen-2025 | Aira Luca SavantValsesia DiegoMagli Enrico | Modeling_Uncertainty_for_Gaussian_Splatting.pdf; TNNLS-2024-B-32833.pdf |
| A multi-service edge-AI architecture based on self-supervised learning / Magli, E; Angarano, S.; Bassetti, S.; Bianchi, T.; Boccardo, P.; Bucci, S.; Chiaberge, M.; Inzerillo, G.; Lisi, D.; Mascetti, G.; Mergè, M.; Monaco, C.; Pasturensi, M.; Piccinini, D.; Valsesia, D.; Zema, G.. - ELETTRONICO. - (2024), pp. 1-9. (Intervento presentato al convegno 75th International Astronautical Congress tenutosi a Milan (Ita) nel 14-18 October 2024). | 1-gen-2024 | Magli EAngarano S.Bianchi T.Boccardo P.Bucci S.Chiaberge M.Inzerillo G.Piccinini D.Valsesia D. + | IAC-24,B1,4,2,x87460.pdf |
| A new architecture for onboard change detection based on deep learning / Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico; Fiengo, Aniello. - ELETTRONICO. - (2024). (Intervento presentato al convegno 9th International Workshop on On-Board Payload Data Compression tenutosi a Las Palmas De Gran Canaria (Esp) nel 2-4 October 2024). | 1-gen-2024 | Gabriele InzerilloDiego ValsesiaEnrico Magli + | magli_OBPDC_change_detection.pdf |
| Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow / Aira, Luca Savant; Valsesia, Diego; Molini, Andrea Bordone; Fracastoro, Giulia; Magli, Enrico; Mirabile, Andrea. - In: IEEE ACCESS. - ISSN 2169-3536. - 12:(2024), pp. 188902-188913. [10.1109/access.2024.3514188] | 1-gen-2024 | Aira, Luca SavantValsesia, DiegoFracastoro, GiuliaMagli, Enrico + | Deep_3D_World_Models_for_Multi-Image_Super-Resolution_Beyond_Optical_Flow.pdf |
| Deep Learning Methods for Satellite Image Super-Resolution / Valsesia, Diego; Magli, Enrico - In: Signal and image processing for remote sensingSTAMPA. - [s.l] : Taylor and Francis, 2024. - ISBN 9781003382010. - pp. 228-238 [10.1201/9781003382010-15] | 1-gen-2024 | Valsesia, DiegoMagli, Enrico | 9781032437415_C012.pdf |
| Degradation-Aware Self-Supervised Multi-Temporal Super-Resolution / Impieri, Matteo; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico. - ELETTRONICO. - (2024), pp. 1099-1102. (Intervento presentato al convegno IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium tenutosi a Athens (Greece) nel 07-12 July 2024) [10.1109/igarss53475.2024.10641268]. | 1-gen-2024 | Impieri, MatteoValsesia, DiegoBianchi, TizianoMagli, Enrico | Degradation-Aware_Self-Supervised_Multi-Temporal_Super-Resolution.pdf; Unsupervised_MISR_IGARSS24.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 |
| Hybrid Recurrent-Attentive Neural Network for Onboard Predictive Hyperspectral Image Compression / Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico. - ELETTRONICO. - (2024), pp. 7898-7902. (Intervento presentato al convegno IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium tenutosi a Athens (Greece) nel 07-12 July 2024) [10.1109/igarss53475.2024.10641584]. | 1-gen-2024 | Valsesia, DiegoBianchi, TizianoMagli, Enrico | RKWV_predictive_compression-7.pdf; Hybrid_Recurrent-Attentive_Neural_Network_for_Onboard_Predictive_Hyperspectral_Image_Compression.pdf |
| MOTIONCRAFT: Physics-based Zero-Shot Video Generation / Montanaro, A.; SAVANT AIRA, Luca; Aiello, E.; Valsesia, D.; Magli, E.. - 37:(2024). (Intervento presentato al convegno 38th Conference on Neural Information Processing Systems, NeurIPS 2024 tenutosi a Vancouver (Can) nel 10 - 15 December 2024). | 1-gen-2024 | Montanaro A.Aira Savant LucaAiello E.Valsesia D.Magli E. | NeurIPS-2024-motioncraft-physics-based-zero-shot-video-generation-Paper-Conference_compressed-1.pdf; Flow_based_video_generation-4_compressed.pdf |
| Multitask AI for onboard intelligence in Earth observation missions / Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico. - ELETTRONICO. - (2024). (Intervento presentato al convegno 2024 Small Satellites Systems and Services Symposium tenutosi a Palma de Mallorca (Esp) nel 27-31 May 2024). | 1-gen-2024 | Gabriele InzerilloDiego ValsesiaEnrico Magli | 45_Valsesia-Diego_Paper.pdf |
| Onboard Deep Lossless and Near-Lossless Predictive Coding of Hyperspectral Images With Line-Based Attention / Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - 62:(2024). [10.1109/tgrs.2024.3465043] | 1-gen-2024 | Valsesia, DiegoBianchi, TizianoMagli, Enrico | main.pdf; Onboard_Deep_Lossless_and_Near-Lossless_Predictive_Coding_of_Hyperspectral_Images_With_Line-Based_Attention-2.pdf |
| Onboard hyperspectral image compression with deep line-based predictove architectures / Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico. - ELETTRONICO. - (2024). (Intervento presentato al convegno 9th International Workshop on On-Board Payload Data Compression tenutosi a Las Palmas De Gran Canaria (Esp) nel 2-4 October 2024). | 1-gen-2024 | Diego ValsesiaTiziano BianchiEnrico Magli | magli_obpdc_compression.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 |
| Diffraction Efficiency-Aware Reconstruction for Compressive Sensing in the Mid-Infrared / Bianchi, Tiziano; Guzzi, Donatella; Lastri, Cinzia; Magli, Enrico; Nardino, Vanni; Palombi, Lorenzo; Prette, Nicola; Raimondi, Valentina; Valsesia, Diego. - ELETTRONICO. - (2023), pp. 4463-4465. (Intervento presentato al convegno IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium tenutosi a Pasadena, CA (USA) nel 16-21 July 2023) [10.1109/igarss52108.2023.10283029]. | 1-gen-2023 | Bianchi, TizianoMagli, EnricoPrette, NicolaValsesia, Diego + | Diffraction_Efficiency-Aware_Reconstruction_for_Compressive_Sensing_in_the_Mid-Infrared.pdf; SURPRISE_MIR_Reconstruction.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 |
| GMLD: A TOOL TO INVESTIGATE AND DEMONSTRATE THE USE OF ML IN VARIOUS AREAS OF GNSS DOMAIN / Leuzzi, Chiara; Nardin, Andrea; Madaro, A.; Messineo, Rosario; Dovis, Fabio; Valsesia, Diego; Magli, Enrico; Sobreira, Hugo; Swinden, Richard. - ELETTRONICO. - (2023), pp. 129-132. (Intervento presentato al convegno 2023 conference on Big Data from Space tenutosi a Vienna, Austria nel 6-9 November 2023) [10.2760/46796]. | 1-gen-2023 | Andrea NardinFabio DovisDiego ValsesiaEnrico Magli + | Leuzzi_nardin_JRC135493_01-147-150.pdf |
| 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 |