activity
20142023
most citedOn the Use of Deep Learning for Blind Image Quality Assessment

279 citations · 763 across the 22 of their papers we have counts for

collaborators

24 papers

cs.CV2023★ 2 cited

NTIRE 2023 Quality Assessment of Video Enhancement Challenge

Xiaohong Liu, Xiongkuo Min, Wei Sun +69

This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement W…

cs.CY2022

A unified platform for GIS data management and analytics

Flavio Piccoli, Simone Locatelli, Paolo Napoletano +1

In this work we propose a software platform for the collection, visualization, management and analysis of heterogeneous and multisource data for soil characteristics estimation. Th…

cs.CV2022

A deep scalable neural architecture for soil properties estimation from spectral information

Flavio Piccoli, Micol Rossini, Roberto Colombo +2

In this paper we propose an adaptive deep neural architecture for the prediction of multiple soil characteristics from the analysis of hyperspectral signatures. The proposed method…

cs.CY2022

A health telemonitoring platform based on data integration from different sources

Gianluigi Ciocca, Paolo Napoletano, Matteo Romanato +1

The management of people with long-term or chronic illness is one of the biggest challenges for national health systems. In fact, these diseases are among the leading causes of hos…

eess.IV2022★ 16 cited

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results

Ren Yang, Radu Timofte, Xin Li +49

This paper reviews the Challenge on Super-Resolution of Compressed Image and Video at AIM 2022. This challenge includes two tracks. Track 1 aims at the super-resolution of compress…

cs.SD2022★ 34 cited

Semi-supervised cross-lingual speech emotion recognition

Mirko Agarla, Simone Bianco, Luigi Celona +5

Performance in Speech Emotion Recognition (SER) on a single language has increased greatly in the last few years thanks to the use of deep learning techniques. However, cross-lingu…