Zobrazeno 1 - 10
of 560
pro vyhledávání: '"DEL BIMBO, ALBERTO"'
Autor:
Cultrera, Luca, Becattini, Federico, Berlincioni, Lorenzo, Ferrari, Claudio, Del Bimbo, Alberto
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 might not be up to the task due to their latency, making it impossibl
Externí odkaz:
http://arxiv.org/abs/2410.21958
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 even terrorist attacks has posed attention to the necessity for preci
Externí odkaz:
http://arxiv.org/abs/2409.16099
Autor:
Becattini, Federico, Cultrera, Luca, Berlincioni, Lorenzo, Ferrari, Claudio, Leonardo, Andrea, Del Bimbo, Alberto
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, landmarks. However, when it comes to subtle movements standard RGB cameras mig
Externí odkaz:
http://arxiv.org/abs/2409.10213
Autor:
Casula, Vittorio, Berlincioni, Lorenzo, Cultrera, Luca, Becattini, Federico, Pero, Chiara, Bisogni, Carmen, Bertini, Marco, Del Bimbo, Alberto
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 struggle with precisely manipulating specific garment attributes without ina
Externí odkaz:
http://arxiv.org/abs/2409.10206
Visual retrieval systems face significant challenges when updating models with improved representations due to misalignment between the old and new representations. The costly and resource-intensive backfilling process involves recalculating feature
Externí odkaz:
http://arxiv.org/abs/2408.08793
Autor:
Berlincioni, Lorenzo, Cultrera, Luca, Becattini, Federico, Bertini, Marco, Del Bimbo, Alberto
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 tasks. We propose an approach that appends first names to ethically ann
Externí odkaz:
http://arxiv.org/abs/2408.04671
Given a query consisting of a reference image and a relative caption, Composed Image Retrieval (CIR) aims to retrieve target images visually similar to the reference one while incorporating the changes specified in the relative caption. The reliance
Externí odkaz:
http://arxiv.org/abs/2405.02951
Learning compatible representations enables the interchangeable use of semantic features as models are updated over time. This is particularly relevant in search and retrieval systems where it is crucial to avoid reprocessing of the gallery images wi
Externí odkaz:
http://arxiv.org/abs/2405.02581
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 capture fixed images at discrete intervals, neuromorphic sensors cont
Externí odkaz:
http://arxiv.org/abs/2402.11631
Autor:
Becattini, Federico, Chen, Xiaolin, Puccia, Andrea, Wen, Haokun, Song, Xuemeng, Nie, Liqiang, Del Bimbo, Alberto
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 assumption that no prior knowledge is given about a user. We propose to build
Externí odkaz:
http://arxiv.org/abs/2402.11627