15 citations · 24 across the 15 of their papers we have counts for
17 papers
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…
Spike-TBR: a Noise Resilient Neuromorphic Event Representation
Gabriele Magrini, Federico Becattini, Luca Cultrera +3
Event cameras offer significant advantages over traditional frame-based sensors, including higher temporal resolution, lower latency and dynamic range. However, efficiently convert…
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…
Spatio-temporal Transformers for Action Unit Classification with Event Cameras
Luca Cultrera, Federico Becattini, Lorenzo Berlincioni +2
Face analysis has been studied from different angles to infer emotion, poses, shapes, and landmarks. Traditionally RGB cameras are used, yet for fine-grained tasks standard sensors…
Neuromorphic Facial Analysis with Cross-Modal Supervision
Federico Becattini, Luca Cultrera, Lorenzo Berlincioni +3
Traditional approaches for analyzing RGB frames are capable of providing a fine-grained understanding of a face from different angles by inferring emotions, poses, shapes, landmark…
Garment Attribute Manipulation with Multi-level Attention
Vittorio Casula, Lorenzo Berlincioni, Luca Cultrera +5
In the rapidly evolving field of online fashion shopping, the need for more personalized and interactive image retrieval systems has become paramount. Existing methods often strugg…
Prompt and Prejudice
Lorenzo Berlincioni, Luca Cultrera, Federico Becattini +2
This paper investigates the impact of using first names in Large Language Models (LLMs) and Vision Language Models (VLMs), particularly when prompted with ethical decision-making t…
Neuromorphic Face Analysis: a Survey
Federico Becattini, Lorenzo Berlincioni, Luca Cultrera +1
Neuromorphic sensors, also known as event cameras, are a class of imaging devices mimicking the function of biological visual systems. Unlike traditional frame-based cameras, which…
Neuromorphic Valence and Arousal Estimation
Lorenzo Berlincioni, Luca Cultrera, Federico Becattini +1
Recognizing faces and their underlying emotions is an important aspect of biometrics. In fact, estimating emotional states from faces has been tackled from several angles in the li…
Diffusion Based Augmentation for Captioning and Retrieval in Cultural Heritage
Dario Cioni, Lorenzo Berlincioni, Federico Becattini +1
Cultural heritage applications and advanced machine learning models are creating a fruitful synergy to provide effective and accessible ways of interacting with artworks. Smart aud…
4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks
Lorenzo Berlincioni, Stefano Berretti, Marco Bertini +1
Time varying sequences of 3D point clouds, or 4D point clouds, are now being acquired at an increasing pace in several applications (e.g., LiDAR in autonomous or assisted driving).…
Neuromorphic Event-based Facial Expression Recognition
Lorenzo Berlincioni, Luca Cultrera, Chiara Albisani +5
Recently, event cameras have shown large applicability in several computer vision fields especially concerning tasks that require high temporal resolution. In this work, we investi…
Partially fake it till you make it: mixing real and fake thermal images for improved object detection
Francesco Bongini, Lorenzo Berlincioni, Marco Bertini +1
In this paper we propose a novel data augmentation approach for visual content domains that have scarce training datasets, compositing synthetic 3D objects within real scenes. We s…
Robust pedestrian detection in thermal imagery using synthesized images
My Kieu, Lorenzo Berlincioni, Leonardo Galteri +3
In this paper we propose a method for improving pedestrian detection in the thermal domain using two stages: first, a generative data augmentation approach is used, then a domain a…
Multiple Future Prediction Leveraging Synthetic Trajectories
Lorenzo Berlincioni, Federico Becattini, Lorenzo Seidenari +1
Trajectory prediction is an important task, especially in autonomous driving. The ability to forecast the position of other moving agents can yield to an effective planning, ensuri…
Inner Eye Canthus Localization for Human Body Temperature Screening
Claudio Ferrari, Lorenzo Berlincioni, Marco Bertini +1
In this paper, we propose an automatic approach for localizing the inner eye canthus in thermal face images. We first coarsely detect 5 facial keypoints corresponding to the center…
Semantic Road Layout Understanding by Generative Adversarial Inpainting
Lorenzo Berlincioni, Federico Becattini, Leonardo Galteri +2
Autonomous driving is becoming a reality, yet vehicles still need to rely on complex sensor fusion to understand the scene they act in. The ability to discern static environment an…