Diego Valsesia

ERC sectors

• Top 10% Paper Award at 2013 IEEE International Workshop on Multimedia Signal Processing conferred by 2013 IEEE lnternational Workshop on Multimedia Signal Processing (MMSP) organizing committee, Italy (2013)
• Best Demo Award IEEE SPS Italy Chapter Summer School on Signal Processing conferred by IEEE SPS Italy Chapter, Italy (2013)
• First place Proba-V Superresolution challenge conferred by European Space Agency, Italy (2019)
• Best Paper Award IEEE ICIP 2019 conferred by IEEE International Conference on Image Processing (ICIP) 2019, Italy (2019)
• Best Paper Award conferred by IEEE Multimedia, Italy (2020)
• Outstanding Editorial Board Member Award conferred by IEEE Transactions on Image Processing, United States (2023)

• IEEE TRANSACTIONS ON IMAGE PROCESSING (2021-), Associate Editor of magazine or editorial series

• Collegio di Ingegneria Elettronica, delle Telecomunicazioni e Fisica. Componente

PhD

• Adversarial training of neural networks. A.A. 2024/25, INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI. Main teacher
• Adversarial training of neural networks. A.A. 2023/24, INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI. Main teacher
• Adversarial training of neural networks. A.A. 2022/23, INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI. Main teacher
• Adversarial training of neural networks. A.A. 2021/22, INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI. Main teacher
• Adversarial training of neural networks. A.A. 2020/21, INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI. Main teacher
• Adversarial training of neural networks. A.A. 2019/20, INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI. Main teacher

Master of Science

• Statistical learning and neural networks. A.A. 2024/25, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Collaboratore del corso
• Methods and tools for ICT. A.A. 2024/25, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Titolare del corso
• Signal, image and video processing and learning (modulo di Image and video processing and learning). A.A. 2024/25, COMMUNICATIONS ENGINEERING. Titolare del corso
• Methods and tools for ICT. A.A. 2023/24, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Titolare del corso
• Signal, image and video processing and learning (modulo di Image and video processing and learning). A.A. 2023/24, COMMUNICATIONS ENGINEERING. Collaboratore del corso
• Statistical learning and neural networks. A.A. 2023/24, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Collaboratore del corso
• Methods and tools for ICT. A.A. 2022/23, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Titolare del corso
• Signal, image and video processing and learning (modulo di Image and video processing and learning). A.A. 2022/23, COMMUNICATIONS ENGINEERING. Collaboratore del corso
• Statistical learning and neural networks. A.A. 2022/23, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Collaboratore del corso
• Image and video processing. A.A. 2021/22, COMMUNICATIONS AND COMPUTER NETWORKS ENGINEERING (INGEGNERIA TELEMATICA E DELLE COMUNICAZIONI). Titolare del corso
• Statistical learning and neural networks. A.A. 2021/22, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Collaboratore del corso
• Statistical learning and neural networks. A.A. 2020/21, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Collaboratore del corso
• Multimedia signal processing. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Statistical learning and neural networks. A.A. 2019/20, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Collaboratore del corso
• Vodafone IoT Academy. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

Bachelor of Science

• Elaborazione di immagine e video. A.A. 2021/22, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso
• Elaborazione di immagine e video. A.A. 2019/20, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso

• Deep learning for image analysis (DET)
• Deep learning for image restoration (DET)
• Generative deep learning models (DET)
• Image rendering via neural radiance fields (DET)

Projects funded by competitive calls

• LICAM - AI-powered LiDAR fusion for next-generation smartphone cameras , (2023-2025) - Responsabile Scientifico
  Nationally funded research - PRIN

• Luca Dordoni. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39^th cycle, 2024-in progress)
  Research subject: The thesis aims at developing techniques for deep learning-based multi-modal image processing
  
  Big Data, Machine Learning, Neural Networks and Data Science
  Big Data, Machine Learning, Neural Networks and Data Science
• Gabriele Inzerillo. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39^th cycle, 2024-in progress)
  Research subject: Bringing change detection on board satellites for low-latency damage assessment
  
  Big Data, Machine Learning, Neural Networks and Data Science
  Multimedia Signal Processing
  Big Data, Machine Learning, Neural Networks and Data Science
  Multimedia Signal Processing
• Davide Piccinini. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39^th cycle, 2024-in progress)
  Research subject: My work focuses on remote sensing applications and deployment of deep learning techniques.
  
  Big Data, Machine Learning, Neural Networks and Data Science
  Big Data, Machine Learning, Neural Networks and Data Science
• Alessandro Scarciglia. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39^th cycle, 2024-in progress)
• Ziyao Yi. Programme in Intelligenza Artificiale (39^th cycle, 2023-in progress)
• Luca Savant Aira. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (38^th cycle, 2022-in progress)
  Research subject: Multi-image restoration exploiting neural implicit world models
  
  Big Data, Machine Learning, Neural Networks and Data Science
  Multimedia Signal Processing
  Big Data, Machine Learning, Neural Networks and Data Science
  Multimedia Signal Processing
  Big Data, Machine Learning, Neural Networks and Data Science
  Multimedia Signal Processing
• Emanuele Aiello. Programme in Intelligenza Artificiale (37^th cycle, 2021-in progress)
  Research subject: Multimodal Deep Learning and Generative Models
  
  Generative models and Generative Adversarial Networks
  Computer vision and image understanding
  3D vision and 3D reconstruction
  Self-supervised and semi-supervised learning
  Generative models and Generative Adversarial Networks
  Computer vision and image understanding
  3D vision and 3D reconstruction
  Self-supervised and semi-supervised learning
• Antonio Montanaro. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36^th cycle, 2020-2024)
  Thesis: Exploring the latent geometry for representation learning
  
  Big Data, Machine Learning, Neural Networks and Data Science
  Geo-positioning, Navigation Systems and Remote sensing
  Big Data, Machine Learning, Neural Networks and Data Science
  Geo-positioning, Navigation Systems and Remote sensing
• Francesca Pistilli. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (35^th cycle, 2019-2023)
  Thesis: Learning robust and efficient point cloud representations
  
  Big Data, Machine Learning, Neural Networks and Data Science
  Multimedia Signal Processing
  Big Data, Machine Learning, Neural Networks and Data Science
  Multimedia Signal Processing

• Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico (2024)
  Onboard hyperspectral image compression with deep line-based predictove architectures. In: 9th International Workshop on On-Board Payload Data Compression, Las Palmas De Gran Canaria (Esp), 2-4 October 2024
  Contributo in Atti di Convegno (Proceeding)
• Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico; Fiengo, Aniello (2024)
  A new architecture for onboard change detection based on deep learning. In: 9th International Workshop on On-Board Payload Data Compression, Las Palmas De Gran Canaria (Esp), 2-4 October 2024
  Contributo in Atti di Convegno (Proceeding)
• Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico (2024)
  Multitask AI for onboard intelligence in Earth observation missions. In: 2024 Small Satellites Systems and Services Symposium, Palma de Mallorca (Esp), 27-31 May 2024
  Contributo in Atti di Convegno (Proceeding)
• Magli, E; Angarano, S.; Bassetti, S.; Bianchi, T.; Boccardo, P.; Bucci, S.; Chiaberge, ... (2024)
  A multi-service edge-AI architecture based on self-supervised learning. In: 75th International Astronautical Congress, Milan (Ita), 14-18 October 2024, pp. 1-9
  Contributo in Atti di Convegno (Proceeding)
• Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico (2024)
  Onboard Deep Lossless and Near-Lossless Predictive Coding of Hyperspectral Images With Line-Based Attention. In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, vol. 62. ISSN 0196-2892
  Contributo su Rivista
• Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico (2024)
  Efficient Onboard Multitask AI Architecture Based on Self-Supervised Learning. In: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, vol. 18, pp. 828-838. ISSN 1939-1404
  Contributo su Rivista
• Valsesia, Diego; Magli, Enrico (2024)
  Deep Learning Methods for Satellite Image Super-Resolution. In: Signal and image processing for remote sensing / S.N., S.L., Taylor and Francis, pp. 228-238. ISBN: 9781003382010
  Contributo in Volume
• Aira, Luca Savant; Valsesia, Diego; Molini, Andrea Bordone; Fracastoro, Giulia; Magli, ... (2024)
  Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow. In: IEEE ACCESS, vol. 12, pp. 188902-188913. ISSN 2169-3536
  Contributo su Rivista
• Inzerillo, G; Valsesia, D; Magli, E; Niro, F; De Grandis, E (2023)
  Proba-V Multi-Temporal Super-Resolution Guided by Sentinel-2. In: 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena (USA), 16-21 July, 2023, pp. 5139-5142. ISBN: 979-8-3503-2010-7
  Contributo in Atti di Convegno (Proceeding)
• Pistilli, F.; Valsesia, D.; Fracastoro, G.; Magli, E. (2022)
  Point cloud attribute compression with neural implicit representations. In: 2022 ESA International Workshop on On-Board Data Compression, Athens (Gre), 28-30 September 2022
  Contributo in Atti di Convegno (Proceeding)

• Sistema di offuscamento di chiavi crittografiche basato sull'impronta digitale compressa di un sensore fotografico. national and international Patent
  Inventors: Tiziano Bianchi Enrico Magli Diego Valsesia
• Sistema di offuscamento di chiavi crittografiche basato sull'impronta digitale compressa di un sensore fotografico. national and international Patent
  Inventors: Tiziano Bianchi Enrico Magli Diego Valsesia
• Sistema di autenticazione di un utente basato su un impronta digitale compressa di un sensore fotografico. national and international Patent
  Inventors: Tiziano Bianchi Enrico Magli Diego Valsesia
• Sistema di autenticazione di un utente basato su un impronta digitale compressa di un sensore fotografico. national and international Patent
  Inventors: Tiziano Bianchi Enrico Magli Diego Valsesia
• Sistema di autenticazione di un utente basato su un impronta digitale compressa di un sensore fotografico. national and international Patent
  Inventors: Tiziano Bianchi Enrico Magli Diego Valsesia
• Tecnica di recupero su larga scala di immagini acquisite da un dato dispositivo basata su impronte del sensore compresse tramite proiezioni aleatorie. national and international Patent
  Inventors: Tiziano Bianchi Enrico Magli Diego Valsesia
• Tecnica di recupero su larga scala di immagini acquisite da un dato dispositivo basata su impronte del sensore compresse tramite proiezioni aleatorie. national and international Patent
  Inventors: Tiziano Bianchi Enrico Magli Diego Valsesia
• Tecnica di recupero su larga scala di immagini acquisite da un dato dispositivo basata su impronte del sensore compresse tramite proiezioni aleatorie. national and international Patent
  Inventors: Tiziano Bianchi Enrico Magli Diego Valsesia
• Tecnica di riconoscimento di fotocamere attraverso impronta digitale del sensore compressa tramite proiezioni aleatorie, e sue applicazioni a problemi di identificazione. national and international Patent
  Inventors: Tiziano Bianchi Enrico Magli Diego Valsesia
• Tecnica di riconoscimento di fotocamere attraverso impronta digitale del sensore compressa tramite proiezioni aleatorie, e sue applicazioni a problemi di identificazione. national and international Patent
  Inventors: Tiziano Bianchi Enrico Magli Diego Valsesia
• Tecnica di riconoscimento di fotocamere attraverso impronta digitale del sensore compressa tramite proiezioni aleatorie, e sue applicazioni a problemi di identificazione. national and international Patent
  Inventors: Tiziano Bianchi Enrico Magli Diego Valsesia