31 citations · 133 across the 23 of their papers we have counts for
8 papers · 1 filter
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…
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…
Illumination and Shadows in Head Rotation: experiments with Denoising Diffusion Models
Andrea Asperti, Gabriele Colasuonno, Antonio Guerra
Accurately modeling the effects of illumination and shadows during head rotation is critical in computer vision for enhancing image realism and reducing artifacts. This study delve…
Image Embedding for Denoising Generative Models
Andrea Asperti, Davide Evangelista, Samuele Marro +1
Denoising Diffusion models are gaining increasing popularity in the field of generative modeling for several reasons, including the simple and stable training, the excellent genera…