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20202025
most citedSpatio-temporal Transformers for Action Unit Classification with Event Cameras

1 citations · 3 across the 10 of their papers we have counts for

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cs.CV2024★ 1 cited

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CL2024

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…

cs.CV2024

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…

cs.CV2024★ 1 cited

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…