65 citations · 126 across the 13 of their papers we have counts for
8 papers · 1 filter
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…