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20172025
most citedExploiting Recurrent Neural Networks and Leap Motion Controller for Sign Language and Semaphoric Gesture Recognition

180 citations · 485 across the 21 of their papers we have counts for

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12 papers · 1 filter

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024★ 6 cited

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…

cs.CV2024★ 4 cited

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…

cs.CV2022

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…

cs.CV2022★ 14 cited

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…

cs.CV2021★ 9 cited

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…

cs.CV2021★ 57 cited

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…

cs.CV2019★ 31 cited

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…

cs.CV2018★ 180 cited

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…

cs.CV2017★ 65 cited

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…