State-of-The-Art (SoTA) image captioning models often rely on the Micros...
One of the main problems in applying deep learning techniques to recogni...
In this work we propose a software platform for the collection,
visualiz...
In this paper we propose an adaptive deep neural architecture for the
pr...
The management of people with long-term or chronic illness is one of the...
Speech emotion recognition (SER) on a single language has achieved remar...
We present a unified deep learning framework for user identity recogniti...
In this paper, we propose an unsupervised method for hyperspectral remot...
Several techniques have been proposed to address the problem of recogniz...
The aesthetic quality of an image is defined as the measure or appreciat...
In the recent years there has been a growing interest in techniques able...
Previous literature suggests that perceptual similarity is an emergent
p...
Human activity recognition (HAR) is a very active research field. Recent...
In this work we propose a new deep multibranch neural network to solve t...
This work presents an in-depth analysis of the majority of the deep neur...
In this work we present a method to improve the pruning step of the curr...
Smartphones, smartwatches, fitness trackers, and ad-hoc wearable devices...
In this work we investigate the use of deep learning for distortion-gene...
In this paper we present an extensive evaluation of visual descriptors f...
The annotation of image and video data of large datasets is a fundamenta...
In this paper we shall consider the problem of deploying attention to su...
We propose a strategy for land use classification which exploits Multipl...