Scholar
Diego Valsesia
Google Scholar ID: 5YXpLhQAAAAJ
Politecnico di Torino
Citations & Impact
Citations
1,963
H-index
22
i10-index
32
Publications
20
Co-authors
12
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Outstanding Editorial Board Member Award – IEEE Transactions on Image Processing, 2023
- - First Place – European Space Agency AI4EO challenge on “Super-resolved image segmentation for Enhanced Sentinel 2 Agriculture”, 2021
- - First Place – European Space Agency “Proba-V Super-Resolution” challenge, 2019
- - Best Paper Award – IEEE International Conference on Image Processing (ICIP), 2019
- - Best Paper Award – IEEE MultiMedia, 2019
- - Best Paper Award – ESA/CNES Onboard Payload Data Compression workshop (OBPDC) 2016
- - Top 10% paper award – IEEE International Workshop on Multimedia Signal Processing (MMSP), 2013
Research Experience
- - Assistant Professor, Department of Electronics and Telecommunications, Politecnico di Torino
- - Task leader, H2020 “SURPRISE” project, responsible for the development of image reconstruction algorithms from the measurements acquired by the instrument according to compressive sensing techniques
- - Workpackage leader, Agenzia Spaziale Italiana “Spettrometro a Immagine a Super-risoluzione Spaziale nel medio Infrared” project
Education
- - Master of Science in Telecommunications Engineering from Politecnico di Torino, Italy, in 2012
- - Master of Science in Electrical and Computer Engineering from the University of Illinois at Chicago, USA, in 2013
- - Ph.D. in Electronic and Communication Engineering from Politecnico di Torino, Italy, in 2016 (Advisor: Enrico Magli)
Background
- - Research Interests: Compression of remote sensing images, and deep learning models for inverse problems in imaging
- - Professional Field: Telecommunications Engineering, Electronic and Communication Engineering
- - Biography: Currently an Assistant Professor at the Department of Electronics and Telecommunications of Politecnico di Torino. His main research activities include compression of remote sensing images and deep learning models for inverse problems in imaging. He has worked on state-of-the-art models for image denoising, super-resolution, SAR despeckling, generative adversarial networks, and graph neural networks.
Miscellany
- - Associate Editor – IEEE Transactions on Image Processing, 2021-2024
- - Elected member – EURASIP Technical Area Committee (TAC) “SIG-DML: Signal and Data Analytics for Machine Learning”, 2021-2023
- - Member – ELLIS Society (ellis.eu) and Founding Member – Torino ELLIS Research Unit
- - Reviewer and TPC member for numerous international conferences (ICIP, EUSIPCO, CVPR, NeurIPS, ICLR, ICCV) and regular reviewer for several journals (IEEE TIP, IEEE TMM, IEEE TSP, IEEE TGRS, IEEE JTARS, IEEE SPL, IEEE GRSL)
- - Guest Editor special issue on “Onboard Payload Data Compression and Processing for Spaceborne Imaging”, Taylor & Francis International Journal of Remote Sensing, 2016
