Art² Gallery

Sabato 1 ottobre abbiamo partecipato al Meet Me Tonight 2016. I visitatori dello stand ART² …

 

Content-based retrieval of remote sensing images

We present an extensive evaluation of visual descriptors for the content-based retrieval of remote sensing (RS) images. The evaluation includes global, local, and Convolutional Neural Network (CNNs) features coupled with four different Content-Based Image Retrieval schemes.

 

Deep Learning for Blind Image Quality Assessment

In this work we investigate the use of deep learning for distortion-generic blind image quality assessment.
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Deep Learning for Logo Recognition

In this project we present a method for logo recognition based on deep learning. Our recognition …

 

Illuminant Estimation Using Convolutional Neural Networks (CNNs)

In this paper we present a three-stage method for the estimation of the color of the …

 

Image Aesthetics

In this paper we investigate the use of a deep Convolutional Neural Network (CNN) to predict …

 

Large Age-Gap Face Verification

This work introduces a new method for face verification across large age gaps and also a dataset containing variations of age in the wild, the Large Age-Gap (LAG) dataset, with images ranging from child/young to adult/old.