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07/31/2023
Federated Learning for Data and Model Heterogeneity in Medical Imaging
Federated Learning (FL) is an evolving machine learning method in which ...
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10/27/2022
Efficient few-shot learning for pixel-precise handwritten document layout analysis
Layout analysis is a task of uttermost importance in ancient handwritten...
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10/27/2022
Masked Transformer for image Anomaly Localization
Image anomaly detection consists in detecting images or image portions t...
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03/26/2022
Medicinal Boxes Recognition on a Deep Transfer Learning Augmented Reality Mobile Application
Taking medicines is a fundamental aspect to cure illnesses. However, stu...
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03/18/2022
Analyzing EEG Data with Machine and Deep Learning: A Benchmark
Nowadays, machine and deep learning techniques are widely used in differ...
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03/11/2022
Human Silhouette and Skeleton Video Synthesis through Wi-Fi signals
The increasing availability of wireless access points (APs) is leading t...
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10/06/2021
SIRe-Networks: Skip Connections over Interlaced Multi-Task Learning and Residual Connections for Structure Preserving Object Classification
Improving existing neural network architectures can involve several desi...
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09/28/2021
3D Hand Pose and Shape Estimation from RGB Images for Improved Keypoint-Based Hand-Gesture Recognition
Estimating the 3D hand pose from a 2D image is a well-studied problem an...
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07/01/2021
Drone swarm patrolling with uneven coverage requirements
Swarms of drones are being more and more used in many practical scenario...
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04/20/2021
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization
We present a transformer-based image anomaly detection and localization ...
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12/04/2020
Is It a Plausible Colour? UCapsNet for Image Colourisation
Human beings can imagine the colours of a grayscale image with no partic...
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11/12/2020
Image Anomaly Detection by Aggregating Deep Pyramidal Representations
Anomaly detection consists in identifying, within a dataset, those sampl...
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09/07/2020
Deep Iterative Residual Convolutional Network for Single Image Super-Resolution
Deep convolutional neural networks (CNNs) have recently achieved great s...
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05/03/2020
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution
Most current deep learning based single image super-resolution (SISR) me...
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04/13/2020
An Efficient UAV-based Artificial Intelligence Framework for Real-Time Visual Tasks
Modern Unmanned Aerial Vehicles equipped with state of the art artificia...
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09/18/2019
Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator
In the last decade many different algorithms have been proposed to track...
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09/09/2019
Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations
Single Image Super-Resolution (SISR) aims to generate a high-resolution ...
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09/06/2019
Image anomaly detection with capsule networks and imbalanced datasets
Image anomaly detection consists in finding images with anomalous, unusu...
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07/23/2019
Deep Temporal Analysis for Non-Acted Body Affect Recognition
Affective computing is a field of great interest in many computer vision...
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12/04/2018
Localization and Tracking of an Acoustic Source using a Diagonal Unloading Beamforming and a Kalman Filter
We present the signal processing framework and some results for the IEEE...
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03/28/2018
Exploiting Recurrent Neural Networks and Leap Motion Controller for Sign Language and Semaphoric Gesture Recognition
In human interactions, hands are a powerful way of expressing informatio...
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07/28/2017
Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding
Person re-identification is best known as the problem of associating a s...
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04/05/2017
The UMCD Dataset
In recent years, the technological improvements of low-cost small-scale ...
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12/20/2016
