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
Showing 2015Show all

5 papers · 1 filter

cs.CV2015★ 67 cited

Evaluating color texture descriptors under large variations of controlled lighting conditions

Claudio Cusano, Paolo Napoletano, Raimondo Schettini

The recognition of color texture under varying lighting conditions is still an open issue. Several features have been proposed for this purpose, ranging from traditional statistica…

cs.CV2015★ 1 cited

Single and Multiple Illuminant Estimation Using Convolutional Neural Networks

Simone Bianco, Claudio Cusano, Raimondo Schettini

In this paper we present a method for the estimation of the color of the illuminant in RAW images. The method includes a Convolutional Neural Network that has been specially design…

cs.CV2015★ 46 cited

How Far Can You Get By Combining Change Detection Algorithms?

Simone Bianco, Gianluigi Ciocca, Raimondo Schettini

Given the existence of many change detection algorithms, each with its own peculiarities and strengths, we propose a combination strategy, that we termed IUTIS (In Unity There Is S…

cs.CV2015★ 18 cited

Color Constancy Using CNNs

Simone Bianco, Claudio Cusano, Raimondo Schettini

In this work we describe a Convolutional Neural Network (CNN) to accurately predict the scene illumination. Taking image patches as input, the CNN works in the spatial domain witho…

cs.CV2015★ 3 cited

IAT - Image Annotation Tool: Manual

Gianluigi Ciocca, Paolo Napoletano, Raimondo Schettini

The annotation of image and video data of large datasets is a fundamental task in multimedia information retrieval and computer vision applications. In order to support the users d…