180 citations · 485 across the 21 of their papers we have counts for
21 papers
WhoFi: Deep Person Re-Identification via Wi-Fi Channel Signal Encoding
Danilo Avola, Emad Emam, Dario Montagnini +2
Person Re-Identification is a key and challenging task in video surveillance. While traditional methods rely on visual data, issues like poor lighting, occlusion, and suboptimal an…
Augmented Reality in Cultural Heritage: A Dual-Model Pipeline for 3D Artwork Reconstruction
Daniele Pannone, Alessia Castronovo, Maurizio Mancini +5
This paper presents an innovative augmented reality pipeline tailored for museum environments, aimed at recognizing artworks and generating accurate 3D models from single images. B…
Bi-GRU Based Deception Detection using EEG Signals
Danilo Avola, Muhammad Yasir Bilal, Emad Emam +3
Deception detection is a significant challenge in fields such as security, psychology, and forensics. This study presents a deep learning approach for classifying deceptive and tru…
Benchmarking of EEG Analysis Techniques for Parkinson's Disease Diagnosis: A Comparison between Traditional ML Methods and Foundation DL Methods
Danilo Avola, Andrea Bernardini, Giancarlo Crocetti +5
Parkinson's Disease PD is a progressive neurodegenerative disorder that affects motor and cognitive functions with early diagnosis being critical for effective clinical interventio…
An Investigation of Ear-EEG Signals for a Novel Biometric Authentication System
Danilo Avola, Giancarlo Crocetti, Gian Luca Foresti +3
This work explores the feasibility of biometric authentication using EEG signals acquired through in-ear devices, commonly referred to as ear-EEG. Traditional EEG-based biometric s…
Transformer-Based Person Identification via Wi-Fi CSI Amplitude and Phase Perturbations
Danilo Avola, Andrea Bernardini, Francesco Danese +4
Wi-Fi sensing is gaining momentum as a non-intrusive and privacy-preserving alternative to vision-based systems for human identification. However, person identification through wir…
Digital Shielding for Cross-Domain Wi-Fi Signal Adaptation using Relativistic Average Generative Adversarial Network
Danilo Avola, Federica Bruni, Gian Luca Foresti +2
Wi-Fi sensing uses radio-frequency signals from Wi-Fi devices to analyze environments, enabling tasks such as tracking people, detecting intrusions, and recognizing gestures. The r…
Autoencoder Models for Point Cloud Environmental Synthesis from WiFi Channel State Information: A Preliminary Study
Daniele Pannone, Danilo Avola
This paper introduces a deep learning framework for generating point clouds from WiFi Channel State Information data. We employ a two-stage autoencoder approach: a PointNet autoenc…
Semantically Guided Representation Learning For Action Anticipation
Anxhelo Diko, Danilo Avola, Bardh Prenkaj +2
Action anticipation is the task of forecasting future activity from a partially observed sequence of events. However, this task is exposed to intrinsic future uncertainty and the d…
ReViT: Enhancing Vision Transformers Feature Diversity with Attention Residual Connections
Anxhelo Diko, Danilo Avola, Marco Cascio +1
Vision Transformer (ViT) self-attention mechanism is characterized by feature collapse in deeper layers, resulting in the vanishing of low-level visual features. However, such feat…
Medicinal Boxes Recognition on a Deep Transfer Learning Augmented Reality Mobile Application
Danilo Avola, Luigi Cinque, Alessio Fagioli +4
Taking medicines is a fundamental aspect to cure illnesses. However, studies have shown that it can be hard for patients to remember the correct posology. More aggravating, a wrong…
Analyzing EEG Data with Machine and Deep Learning: A Benchmark
Danilo Avola, Marco Cascio, Luigi Cinque +4
Nowadays, machine and deep learning techniques are widely used in different areas, ranging from economics to biology. In general, these techniques can be used in two ways: trying t…
Human Silhouette and Skeleton Video Synthesis through Wi-Fi signals
Danilo Avola, Marco Cascio, Luigi Cinque +2
The increasing availability of wireless access points (APs) is leading towards human sensing applications based on Wi-Fi signals as support or alternative tools to the widespread v…
Study on Transfer Learning Capabilities for Pneumonia Classification in Chest-X-Rays Image
Danilo Avola, Andrea Bacciu, Luigi Cinque +3
Over the last year, the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and its variants have highlighted the importance of screening tools with high diagnostic accura…
SIRe-Networks: Convolutional Neural Networks Architectural Extension for Information Preservation via Skip/Residual Connections and Interlaced Auto-Encoders
Danilo Avola, Luigi Cinque, Alessio Fagioli +1
Improving existing neural network architectures can involve several design choices such as manipulating the loss functions, employing a diverse learning strategy, exploiting gradie…
3D Hand Pose and Shape Estimation from RGB Images for Keypoint-Based Hand Gesture Recognition
Danilo Avola, Luigi Cinque, Alessio Fagioli +3
Estimating the 3D pose of a hand from a 2D image is a well-studied problem and a requirement for several real-life applications such as virtual reality, augmented reality, and hand…
Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification
Danilo Avola, Luigi Cinque, Alessio Fagioli +3
Computer-aided diagnosis (CAD) is becoming a prominent approach to assist clinicians spanning across multiple fields. These automated systems take advantage of various computer vis…
Wi-Fi Passive Person Re-Identification based on Channel State Information
Danilo Avola, Marco Cascio, Luigi Cinque +1
With the increasing need for wireless data transfer, Wi-Fi networks have rapidly grown in recent years providing high throughput and easy deployment. Nowadays, Access Points (APs)…
Deep Temporal Analysis for Non-Acted Body Affect Recognition
Danilo Avola, Luigi Cinque, Alessio Fagioli +2
Affective computing is a field of great interest in many computer vision applications, including video surveillance, behaviour analysis, and human-robot interaction. Most of the ex…
Exploiting Recurrent Neural Networks and Leap Motion Controller for Sign Language and Semaphoric Gesture Recognition
Danilo Avola, Marco Bernardi, Luigi Cinque +2
In human interactions, hands are a powerful way of expressing information that, in some cases, can be used as a valid substitute for voice, as it happens in Sign Language. Hand ges…
The UMCD Dataset
Danilo Avola, Gian Luca Foresti, Niki Martinel +2
In recent years, the technological improvements of low-cost small-scale Unmanned Aerial Vehicles (UAVs) are promoting an ever-increasing use of them in different tasks. In particul…