Diego Valsesia

About Diego Valsesia

Diego Valsesia, With an exceptional h-index of 20 and a recent h-index of 20 (since 2020), a distinguished researcher at Politecnico di Torino, specializes in the field of Signal processing, Image processing, Machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modeling uncertainty for Gaussian Splatting

Onboard deep lossless and near-lossless predictive coding of hyperspectral images with line-based attention

Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow

Diffraction Efficiency-Aware Reconstruction for Compressive Sensing in the Mid-Infrared

Data Simulations of a Compressive Sensing Multispectral Imager in the Mid-Infrared Region and Its Performances for the Monitoring of High-Temperature Events

GMLD: A TOOL TO INVESTIGATE AND DEMONSTRATE THE USE OF ML IN VARIOUS AREAS OF GNSS DOMAIN

Super-resolved compressive demonstrator for Earth Observation applications in the Medium Infrared: instrumental concept, optical design and expected performances

Exploring the Potential of Compressive Sensing Payloads for Earth Observation from Geostationary Platforms: An Instrumental Concept for Fire Monitoring

Diego Valsesia Information

University

Position

___

Citations(all)

1502

Citations(since 2020)

1307

Cited By

565

hIndex(all)

20

hIndex(since 2020)

20

i10Index(all)

30

i10Index(since 2020)

27

Email

University Profile Page

Google Scholar

Diego Valsesia Skills & Research Interests

Signal processing

Image processing

Machine learning

Top articles of Diego Valsesia

Title

Journal

Author(s)

Publication Date

Modeling uncertainty for Gaussian Splatting

arXiv preprint arXiv:2403.18476

Luca Savant

Diego Valsesia

Enrico Magli

2024/3/27

Onboard deep lossless and near-lossless predictive coding of hyperspectral images with line-based attention

arXiv preprint arXiv:2403.17677

Diego Valsesia

Tiziano Bianchi

Enrico Magli

2024/3/26

Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow

arXiv preprint arXiv:2401.16972

Luca Savant Aira

Diego Valsesia

Andrea Bordone Molini

Giulia Fracastoro

Enrico Magli

...

2024/1/30

Diffraction Efficiency-Aware Reconstruction for Compressive Sensing in the Mid-Infrared

Tiziano Bianchi

Donatella Guzzi

Cinzia Lastri

Enrico Magli

Vanni Nardino

...

2023/7/16

Data Simulations of a Compressive Sensing Multispectral Imager in the Mid-Infrared Region and Its Performances for the Monitoring of High-Temperature Events

Engineering Proceedings

Donatella Guzzi

Massimo Baldi

Tiziano Bianchi

Fabrizia Buongiorno

Cinzia Lastri

...

2023/11/7

GMLD: A TOOL TO INVESTIGATE AND DEMONSTRATE THE USE OF ML IN VARIOUS AREAS OF GNSS DOMAIN

Chiara Leuzzi

Andrea Nardin

A Madaro

Rosario Messineo

Fabio Dovis

...

2023

Super-resolved compressive demonstrator for Earth Observation applications in the Medium Infrared: instrumental concept, optical design and expected performances

Valentina Raimondi

Massimo Baldi

Dirk Berndt

Tiziano Bianchi

Guzmán Borque Gallego

...

2023/7/12

Exploring the Potential of Compressive Sensing Payloads for Earth Observation from Geostationary Platforms: An Instrumental Concept for Fire Monitoring

Engineering Proceedings

Donato Borrelli

Massimo Baldi

Dirk Berndt

Lucas Bertoncini

Tiziano Bianchi

...

2023/11/7

Towards Hyperbolic Regularizers For Point Cloud Part Segmentation

Antonio Montanaro

Diego Valsesia

Enrico Magli

2023/6/4

Onboard Processing Capabilities of an Earth Observation Compressive Sensing Payload

Tiziano Bianchi

Martina Cilia

Enrico Magli

Andrea Migliorati

Nicola Prette

...

2023/7/16

Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning

Martina Cilia

Diego Valsesia

Giulia Fracastoro

Enrico Magli

2023/6/4

Proba-V Multi-Temporal Super-Resolution Guided by Sentinel-2

Gabriele Inzerillo

Diego Valsesia

Enrico Magli

Fabrizio Niro

Erminia De Grandis

2023/7/16

On the use of machine learning algorithms to improve gnss products

Andrea Nardin

Fabio Dovis

Diego Valsesia

Enrico Magli

Chiara Leuzzi

...

2023/4/24

Towards unsupervised multi-temporal satellite image super-resolution

Nicola Prette

Diego Valsesia

Tiziano Bianchi

Enrico Magli

2023/7/16

Fast inference in denoising diffusion models via mmd finetuning

arXiv preprint arXiv:2301.07969

Emanuele Aiello

Diego Valsesia

Enrico Magli

2023/1/19

Deep Learning Methods for Satellite Compressive Imaging

Martina Cilia

Nicola Prette

Diego Valsesia

Tiziano Bianchi

Enrico Magli

2022

Super-resolved multi-temporal segmentation with deep permutation-invariant networks

Diego Valsesia

Enrico Magli

2022/7/17

Signal compression via neural implicit representations

Francesca Pistilli

Diego Valsesia

Giulia Fracastoro

Enrico Magli

2022/5/23

Rethinking the compositionality of point clouds through regularization in the hyperbolic space

Advances in Neural Information Processing Systems

Antonio Montanaro

Diego Valsesia

Enrico Magli

2022/12/6

Compressive sensing instrumental concepts for space applications

Valentina Raimondi

Massimo Baldi

Dirk Berndt

Tiziano Bianchi

Guzmán Borque Gallego

...

2022/5/20

See List of Professors in Diego Valsesia University(Politecnico di Torino)

Co-Authors

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