31 citations · 133 across the 23 of their papers we have counts for
26 papers
A review of Recent Techniques for Person Re-Identification
Andrea Asperti, Salvatore Fiorilla, Simone Nardi +1
Person re-identification (ReId), a crucial task in surveillance, involves matching individuals across different camera views. The advent of Deep Learning, especially supervised tec…
Thinking Machines: Mathematical Reasoning in the Age of LLMs
Andrea Asperti, Alberto Naibo, Claudio Sacerdoti Coen
Large Language Models (LLMs) have demonstrated impressive capabilities in structured reasoning and symbolic tasks, with coding emerging as a particularly successful application. Th…
Does CLIP perceive art the same way we do?
Andrea Asperti, Leonardo Dessì, Maria Chiara Tonetti +1
CLIP has emerged as a powerful multimodal model capable of connecting images and text through joint embeddings, but to what extent does it 'see' the same way humans do - especially…
A Critical Assessment of Modern Generative Models' Ability to Replicate Artistic Styles
Andrea Asperti, Franky George, Tiberio Marras +2
In recent years, advancements in generative artificial intelligence have led to the development of sophisticated tools capable of mimicking diverse artistic styles, opening new pos…
Deep Learning for Sea Surface Temperature Reconstruction under Cloud Occlusion
Andrea Asperti, Ali Aydogdu, Angelo Greco +6
Sea Surface Temperature (SST) reconstructions from satellite images affected by cloud gaps have been extensively documented in the past three decades. Here we describe several Mach…
A Notion of Complexity for Theory of Mind via Discrete World Models
X. Angelo Huang, Emanuele La Malfa, Samuele Marro +3
Theory of Mind (ToM) can be used to assess the capabilities of Large Language Models (LLMs) in complex scenarios where social reasoning is required. While the research community ha…