activity
20162024
most citedExploiting CLIP-based Multi-modal Approach for Artwork Classification and Retrieval

7 citations · 28 across the 23 of their papers we have counts for

collaborators

23 papers

cs.CV2024

Backward-Compatible Aligned Representations via an Orthogonal Transformation Layer

Simone Ricci, Niccolò Biondi, Federico Pernici +1

Visual retrieval systems face significant challenges when updating models with improved representations due to misalignment between the old and new representations. The costly and…

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

Interactive Garment Recommendation with User in the Loop

Federico Becattini, Xiaolin Chen, Andrea Puccia +4

Recommending fashion items often leverages rich user profiles and makes targeted suggestions based on past history and previous purchases. In this paper, we work under the assumpti…

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.CV20241 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…

cs.CV2023

Perceptual Quality Improvement in Videoconferencing using Keyframes-based GAN

Lorenzo Agnolucci, Leonardo Galteri, Marco Bertini +1

In the latest years, videoconferencing has taken a fundamental role in interpersonal relations, both for personal and business purposes. Lossy video compression algorithms are the…