18 citations · 24 across the 11 of their papers we have counts for
21 papers
MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection
Davide Alessandro Coccomini, Giorgos Kordopatis Zilos, Giuseppe Amato +4
In this paper, we introduce MINTIME, a video deepfake detection approach that captures spatial and temporal anomalies and handles instances of multiple people in the same video and…
Deep Features for CBIR with Scarce Data using Hebbian Learning
Gabriele Lagani, Davide Bacciu, Claudio Gallicchio +3
Features extracted from Deep Neural Networks (DNNs) have proven to be very effective in the context of Content Based Image Retrieval (CBIR). In recent work, biologically inspired \…
Actor-Critic Scheduling for Path-Aware Air-to-Ground Multipath Multimedia Delivery
Achilles Machumilane, Alberto Gotta, Pietro Cassarà +2
Reinforcement Learning (RL) has recently found wide applications in network traffic management and control because some of its variants do not require prior knowledge of network mo…
A Communication Layer for Integrated Sensors and Robotic ecology Solutions to Ambient Intelligence
Giuseppe Amato, Stefano Chessa, Mauro Dragone +2
This paper presents a communication framework built to simplify the construction of robotic ecologies, i.e., networks of heterogeneous computational nodes interfaced with sensors,…
Multi-Camera Vehicle Counting Using Edge-AI
Luca Ciampi, Claudio Gennaro, Fabio Carrara +3
This paper presents a novel solution to automatically count vehicles in a parking lot using images captured by smart cameras. Unlike most of the literature on this task, which focu…
Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features
Nicola Messina, Giuseppe Amato, Fabrizio Falchi +2
Cross-modal retrieval is an important functionality in modern search engines, as it increases the user experience by allowing queries and retrieved objects to pertain to different…