Federated Learning (FL) is an evolving machine learning method in which
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Layout analysis is a task of uttermost importance in ancient handwritten...
Image anomaly detection consists in detecting images or image portions t...
Taking medicines is a fundamental aspect to cure illnesses. However, stu...
Nowadays, machine and deep learning techniques are widely used in differ...
The increasing availability of wireless access points (APs) is leading
t...
Improving existing neural network architectures can involve several desi...
Estimating the 3D hand pose from a 2D image is a well-studied problem an...
Swarms of drones are being more and more used in many practical scenario...
We present a transformer-based image anomaly detection and localization
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Human beings can imagine the colours of a grayscale image with no partic...
Anomaly detection consists in identifying, within a dataset, those sampl...
Deep convolutional neural networks (CNNs) have recently achieved great
s...
Most current deep learning based single image super-resolution (SISR) me...
Modern Unmanned Aerial Vehicles equipped with state of the art artificia...
In the last decade many different algorithms have been proposed to track...
Single Image Super-Resolution (SISR) aims to generate a high-resolution ...
Image anomaly detection consists in finding images with anomalous, unusu...
Affective computing is a field of great interest in many computer vision...
We present the signal processing framework and some results for the IEEE...
In human interactions, hands are a powerful way of expressing informatio...
Person re-identification is best known as the problem of associating a s...
In recent years, the technological improvements of low-cost small-scale
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Food diary applications represent a tantalizing market. Such application...