10 citations · 30 across the 11 of their papers we have counts for
11 papers
EMBL AI Librarian: Life-Sciences Knowledge Layer for AI Agents
Luigi Sigillo, Matteo Silvestri, Francesco Tabaro +9
The web is increasingly accessed by AI agents rather than humans. Every agent needs knowledge, especially in the life-sciences, where agentic pipelines are growing fast. Access to…
Metadata, Wavelet, and Time Aware Diffusion Models for Satellite Image Super Resolution
Luigi Sigillo, Renato Giamba, Danilo Comminiello
The acquisition of high-resolution satellite imagery is often constrained by the spatial and temporal limitations of satellite sensors, as well as the high costs associated with fr…
Latent Wavelet Diffusion For Ultra-High-Resolution Image Synthesis
Luigi Sigillo, Shengfeng He, Danilo Comminiello
High-resolution image synthesis remains a core challenge in generative modeling, particularly in balancing computational efficiency with the preservation of fine-grained visual det…
Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution
Luigi Sigillo, Christian Bianchi, Aurelio Uncini +1
Image Super-Resolution is a fundamental problem in computer vision with broad applications spacing from medical imaging to satellite analysis. The ability to reconstruct high-resol…
Gramian Multimodal Representation Learning and Alignment
Giordano Cicchetti, Eleonora Grassucci, Luigi Sigillo +1
Human perception integrates multiple modalities, such as vision, hearing, and language, into a unified understanding of the surrounding reality. While recent multimodal models have…
A Wavelet Diffusion GAN for Image Super-Resolution
Lorenzo Aloisi, Luigi Sigillo, Aurelio Uncini +1
In recent years, diffusion models have emerged as a superior alternative to generative adversarial networks (GANs) for high-fidelity image generation, with wide applications in tex…
Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models
Eleonora Lopez, Luigi Sigillo, Federica Colonnese +2
Generating images from brain waves is gaining increasing attention due to its potential to advance brain-computer interface (BCI) systems by understanding how brain signals encode…
Ship in Sight: Diffusion Models for Ship-Image Super Resolution
Luigi Sigillo, Riccardo Fosco Gramaccioni, Alessandro Nicolosi +1
In recent years, remarkable advancements have been achieved in the field of image generation, primarily driven by the escalating demand for high-quality outcomes across various ima…
Generalizing Medical Image Representations via Quaternion Wavelet Networks
Luigi Sigillo, Eleonora Grassucci, Aurelio Uncini +1
Neural network generalizability is becoming a broad research field due to the increasing availability of datasets from different sources and for various tasks. This issue is even w…
StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation
Luigi Sigillo, Eleonora Grassucci, Danilo Comminiello
This paper addresses the problem of translating night-time thermal infrared images, which are the most adopted image modalities to analyze night-time scenes, to daytime color image…
Hypercomplex Image-to-Image Translation
Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini +1
Image-to-image translation (I2I) aims at transferring the content representation from an input domain to an output one, bouncing along different target domains. Recent I2I generati…