Archivio Istituzionale della RicercaVALSESIA, DIEGO
VALSESIA, DIEGO
Dipartimento di Elettronica e Telecomunicazioni
029934
Degradation-Aware Self-Supervised Multi-Temporal Super-Resolution
2024 Impieri, Matteo; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico
Hybrid Recurrent-Attentive Neural Network for Onboard Predictive Hyperspectral Image Compression
2024 Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico
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
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
On the Use of Machine Learning Algorithms to Improve GNSS Products
2023 Nardin, Andrea; Dovis, Fabio; Valsesia, Diego; Magli, Enrico; Leuzzi, Chiara; Messineo, Rosario; Sobreira, Hugo; Swinden, Richard
Onboard Processing Capabilities of an Earth Observation Compressive Sensing Payload
2023 Bianchi, Tiziano; Cilia, Martina; Magli, Enrico; Migliorati, Andrea; Prette, Nicola; Valsesia, Diego
Super-resolved compressive demonstrator for Earth Observation applications in the Medium Infrared: instrumental concept, optical design and expected performances
2023 Raimondi, Valentina; Baldi, Massimo; Berndt, Dirk; Bianchi, Tiziano; Borque Gallego, Guzmán; Borrelli, Donato; Carlà, Roberto; Corti, Chiara; Corti, Francesco; Corti, Marco; Dauderstädt, Ulrike A.; Dürr, Peter; Gonnelli, Andrea; Francés González, Sara; Guzzi, Donatella; Labate, Demetrio; Lamquin, Nicolas; Lastri, Cinzia; Magli, Enrico; Marzi, Emiliano; Nardino, Vanni; Pache, Christophe; Palombi, Lorenzo; Pilato, Giuseppe; Suetta, Enrico; Valsesia, Diego; Wagner, Michael
Towards Hyperbolic Regularizers For Point Cloud Part Segmentation
2023 Montanaro, Antonio; Valsesia, Diego; Magli, Enrico
Towards Unsupervised Multi-Temporal Satellite Image Super-Resolution
2023 Prette, N.; Valsesia, D.; Bianchi, T.; Magli, E.
Compressive Sensing instrumental concepts for space applications
2022 Raimondi, Valentina; Baldi, Massimo; Berndt, Dirk; Bianchi, Tiziano; Borque Gallego, Guzmán; Borrelli, Donato; Corti, Chiara; Corti, Francesco; Corti, Marco; Dauderstädt, Ulrike A.; Dürr, Peter; Gonnelli, Andrea; Francés González, Sara; Guzzi, Donatella; Kunze, Detlef; Labate, Demetrio; Lamquin, Nicolas; Lastri, Cinzia; Magli, Enrico; Marzi, Emiliano; Nardino, Vanni; Pache, Christophe; Palombi, Lorenzo; Pilato, Giuseppe; Suetta, Enrico; Valsesia, Diego; Wagner, Michael
Cross-modal Learning for Image-Guided Point Cloud Shape Completion
2022 Aiello, E.; Valsesia, D.; Magli, E.
Deep Learning Methods for Satellite Compressive Imaging
2022 Cilia, Martina; Prette, Nicola; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico
Exploring the Solution Space of Linear Inverse Problems with GAN Latent Geometry
2022 Montanaro, Antonio; Valsesia, Diego; Magli, Enrico
Joint Super-Resolved Compressive Sensing and Encryption for Earth Observation Applications
2022 Migliorati, Andrea; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico
Rethinking the compositionality of point clouds through regularization in the hyperbolic space
2022 Montanaro, A.; Valsesia, D.; Magli, E.
Signal Compression via Neural Implicit Representations
2022 Pistilli, F.; Valsesia, D.; Fracastoro, G.; Magli, E.
Super-Resolved Multi-Temporal Segmentation with Deep Permutation-Invariant Networks
2022 Valsesia, Diego; Magli, Enrico
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
Deep Multiframe Enhancement for Motion Prediction in Video Compression
2021 Prette, N.; Valsesia, D.; Bianchi, T.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| On the Use of Machine Learning Algorithms to Improve GNSS Products / Nardin, Andrea; Dovis, Fabio; Valsesia, Diego; Magli, Enrico; Leuzzi, Chiara; Messineo, Rosario; Sobreira, Hugo; Swinden, Richard. - ELETTRONICO. - (2023). (Intervento presentato al convegno 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS) tenutosi a Monterey, California, USA nel 24-27 Aprile 2023) [10.1109/PLANS53410.2023.10139920]. | 1-gen-2023 | Andrea NardinFabio DovisDiego ValsesiaEnrico Magli + | _IEEE_ION_PLANS_2023__GNSS_ML_demo_ESA_Altec.pdf; Nardin-OnTheUse.pdf |
| Onboard Processing Capabilities of an Earth Observation Compressive Sensing Payload / Bianchi, Tiziano; Cilia, Martina; Magli, Enrico; Migliorati, Andrea; Prette, Nicola; Valsesia, Diego. - (2023), pp. 4234-4237. (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/igarss52108.2023.10281867]. | 1-gen-2023 | Bianchi, TizianoCilia, MartinaMagli, EnricoMigliorati, AndreaPrette, NicolaValsesia, Diego | Onboard_Processing_Capabilities_of_an_Earth_Observation_Compressive_Sensing_Payload.pdf; SURPRISE_Onboard.pdf |
| Super-resolved compressive demonstrator for Earth Observation applications in the Medium Infrared: instrumental concept, optical design and expected performances / Raimondi, Valentina; Baldi, Massimo; Berndt, Dirk; Bianchi, Tiziano; Borque Gallego, Guzmán; Borrelli, Donato; Carlà, Roberto; Corti, Chiara; Corti, Francesco; Corti, Marco; Dauderstädt, Ulrike A.; Dürr, Peter; Gonnelli, Andrea; Francés González, Sara; Guzzi, Donatella; Labate, Demetrio; Lamquin, Nicolas; Lastri, Cinzia; Magli, Enrico; Marzi, Emiliano; Nardino, Vanni; Pache, Christophe; Palombi, Lorenzo; Pilato, Giuseppe; Suetta, Enrico; Valsesia, Diego; Wagner, Michael. - ELETTRONICO. - 12777:(2023), pp. 1-10. (Intervento presentato al convegno International Conference on Space Optics - ICSO 2022 tenutosi a Dubrovnik (Croatia) nel 3-7 October 2022) [10.1117/12.2690634]. | 1-gen-2023 | Bianchi, TizianoMagli, EnricoValsesia, Diego + | 1277741.pdf |
| Towards Hyperbolic Regularizers For Point Cloud Part Segmentation / Montanaro, Antonio; Valsesia, Diego; 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/ICASSP49357.2023.10095253]. | 1-gen-2023 | Montanaro, AntonioValsesia, DiegoMagli, Enrico | montanaro_icassp.pdf; Hyperbolic_regularizer-1.pdf |
| Towards Unsupervised Multi-Temporal Satellite Image Super-Resolution / Prette, N.; Valsesia, D.; Bianchi, T.; Magli, E.. - ELETTRONICO. - (2023), pp. 5135-5138. (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/IGARSS52108.2023.10281856]. | 1-gen-2023 | Prette N.Valsesia D.Bianchi T.Magli E. | Towards_Unsupervised_Multi-Temporal_Satellite_Image_Super-Resolution.pdf; Unsupervised_MISR-1.pdf |
| Compressive Sensing instrumental concepts for space applications / Raimondi, Valentina; Baldi, Massimo; Berndt, Dirk; Bianchi, Tiziano; Borque Gallego, Guzmán; Borrelli, Donato; Corti, Chiara; Corti, Francesco; Corti, Marco; Dauderstädt, Ulrike A.; Dürr, Peter; Gonnelli, Andrea; Francés González, Sara; Guzzi, Donatella; Kunze, Detlef; Labate, Demetrio; Lamquin, Nicolas; Lastri, Cinzia; Magli, Enrico; Marzi, Emiliano; Nardino, Vanni; Pache, Christophe; Palombi, Lorenzo; Pilato, Giuseppe; Suetta, Enrico; Valsesia, Diego; Wagner, Michael. - ELETTRONICO. - 12136:(2022), pp. 1-7. (Intervento presentato al convegno SPIE Photonics Europe tenutosi a Strasbourg, France nel 3-7 April 2022) [10.1117/12.2625305]. | 1-gen-2022 | Tiziano BianchiEnrico MagliDiego Valsesia + | 121360B.pdf; RAIMONDI-photonicsEU2022-VF.pdf |
| Cross-modal Learning for Image-Guided Point Cloud Shape Completion / Aiello, E.; Valsesia, D.; Magli, E.. - ELETTRONICO. - 35:(2022). (Intervento presentato al convegno 36th Conference on Neural Information Processing Systems, NeurIPS 2022 tenutosi a New Orleans, USA nel November 28th through December 9th, 2022). | 1-gen-2022 | Aiello E.Valsesia D.Magli E. | aiello_neurips22.pdf |
| Deep Learning Methods for Satellite Compressive Imaging / Cilia, Martina; Prette, Nicola; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico. - ELETTRONICO. - (2022), pp. 1-8. (Intervento presentato al convegno OBPDC2022 - 8th International Workshop on OnBoard Payload Data Compression tenutosi a Athens, Greece nel 28-30 September 2022) [10.5281/zenodo.7245260]. | 1-gen-2022 | Martina CiliaNicola PretteDiego ValsesiaTiziano BianchiEnrico Magli | Session 5B-Prette-Deep Learning Methods for Satellite Compressive Imaging.pdf |
| Exploring the Solution Space of Linear Inverse Problems with GAN Latent Geometry / Montanaro, Antonio; Valsesia, Diego; Magli, Enrico. - ELETTRONICO. - (2022), pp. 1381-1385. (Intervento presentato al convegno 2022 IEEE International Conference on Image Processing (ICIP) tenutosi a Bordeaux, France nel 16-19 October 2022) [10.1109/ICIP46576.2022.9897211]. | 1-gen-2022 | Montanaro, AntonioValsesia, DiegoMagli, Enrico | Exploring_the_Solution_Space_of_Linear_Inverse_Problems_with_GAN_Latent_Geometry.pdf; Explorable_inverse_problems.pdf |
| Joint Super-Resolved Compressive Sensing and Encryption for Earth Observation Applications / Migliorati, Andrea; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico. - ELETTRONICO. - (2022), pp. 1-7. (Intervento presentato al convegno OBPDC2022 - 8th International Workshop on OnBoard Payload Data Compression tenutosi a Athens, Greece nel 28-30 September 2022) [10.5281/zenodo.7245135]. | 1-gen-2022 | Andrea MiglioratiDiego ValsesiaTiziano BianchiEnrico Magli | Session 4A-Magli-Joint Super-Resolved Compressive Sensing and Encryption for Earth Observation Applications.pdf |
| Rethinking the compositionality of point clouds through regularization in the hyperbolic space / Montanaro, A.; Valsesia, D.; Magli, E.. - ELETTRONICO. - 35:(2022). (Intervento presentato al convegno 36th Conference on Neural Information Processing Systems, NeurIPS 2022 tenutosi a New Orleans, USA nel November 28th through December 9th, 2022). | 1-gen-2022 | Montanaro A.Valsesia D.Magli E. | montanaro_neurips22.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 |
| Super-Resolved Multi-Temporal Segmentation with Deep Permutation-Invariant Networks / Valsesia, Diego; Magli, Enrico. - ELETTRONICO. - (2022), pp. 995-998. (Intervento presentato al convegno IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium tenutosi a Kuala Lumpur, Malaysia nel 17-22 July 2022) [10.1109/IGARSS46834.2022.9884811]. | 1-gen-2022 | Valsesia, DiegoMagli, Enrico | Super-Resolved_Multi-Temporal_Segmentation_with_Deep_Permutation-Invariant_Networks.pdf; Permutation_invariant_multitemporal_SR.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 |
| 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 |