7 papers · 1 filter
R2RI: A Multi-View Event and RGB Dataset for Robot-to-Robot Interaction
Gabriele Magrini, Riccardo Catalini, Federico Becattini +4
Understanding and modeling interactions between autonomous agents is a fundamental challenge in robotics, with broad implications for collaborative systems, social robotics, and hu…
WASP: Weakly Aligned Spatiotemporal Pairs for Fetal Brain MRI-Ultrasound Learning
Francesco Correnti, Gabriele Magrini, Marco Mistretta +6
Magnetic Resonance Imaging (MRI) is widely regarded as the optimal sensor for fetal brain analysis due to its superior soft-tissue contrast and anatomical detail. However, its high…
PEPR: Privileged Event-based Predictive Regularization for Domain Generalization
Gabriele Magrini, Federico Becattini, Niccolò Biondi +1
Deep neural networks for visual perception are highly susceptible to domain shift, which poses a critical challenge for real-world deployment under conditions that differ from the…
Drone Detection with Event Cameras
Gabriele Magrini, Lorenzo Berlincioni, Luca Cultrera +2
The diffusion of drones presents significant security and safety challenges. Traditional surveillance systems, particularly conventional frame-based cameras, struggle to reliably d…
FRED: The Florence RGB-Event Drone Dataset
Gabriele Magrini, Niccolò Marini, Federico Becattini +4
Small, fast, and lightweight drones present significant challenges for traditional RGB cameras due to their limitations in capturing fast-moving objects, especially under challengi…
EV-Flying: an Event-based Dataset for In-The-Wild Recognition of Flying Objects
Gabriele Magrini, Federico Becattini, Giovanni Colombo +1
Monitoring aerial objects is crucial for security, wildlife conservation, and environmental studies. Traditional RGB-based approaches struggle with challenges such as scale variati…
Neuromorphic Drone Detection: an Event-RGB Multimodal Approach
Gabriele Magrini, Federico Becattini, Pietro Pala +2
In recent years, drone detection has quickly become a subject of extreme interest: the potential for fast-moving objects of contained dimensions to be used for malicious intents or…