122 citations · 383 across the 26 of their papers we have counts for
8 papers · 1 filter
I Dream My Painting: Connecting MLLMs and Diffusion Models via Prompt Generation for Text-Guided Multi-Mask Inpainting
Nicola Fanelli, Gennaro Vessio, Giovanna Castellano
Inpainting focuses on filling missing or corrupted regions of an image to blend seamlessly with its surrounding content and style. While conditional diffusion models have proven ef…
Neural network modelling of kinematic and dynamic features for signature verification
Moises Diaz, Miguel A. Ferrer, Jose Juan Quintana +5
Online signature parameters, which are based on human characteristics, broaden the applicability of an automatic signature verifier. Although kinematic and dynamic features have pr…
RoWeeder: Unsupervised Weed Mapping through Crop-Row Detection
Pasquale De Marinis, Gennaro Vessio, Giovanna Castellano
Precision agriculture relies heavily on effective weed management to ensure robust crop yields. This study presents RoWeeder, an innovative framework for unsupervised weed mapping…
Art2Mus: Bridging Visual Arts and Music through Cross-Modal Generation
Ivan Rinaldi, Nicola Fanelli, Giovanna Castellano +1
Artificial Intelligence and generative models have revolutionized music creation, with many models leveraging textual or visual prompts for guidance. However, existing image-to-mus…
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
Lorenzo Loconte, Antonio Mari, Gennaro Gala +5
This paper establishes a rigorous connection between circuit representations and tensor factorizations, two seemingly distinct yet fundamentally related areas. By connecting these…
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts
Pasquale De Marinis, Nicola Fanelli, Raffaele Scaringi +4
Few-shot semantic segmentation aims to segment objects from previously unseen classes using only a limited number of labeled examples. In this paper, we introduce Label Anything, a…
Dynamically enhanced static handwriting representation for Parkinson's disease detection
Moises Diaz, Miguel Angel Ferrer, Donato Impedovo +2
Computer aided diagnosis systems can provide non-invasive, low-cost tools to support clinicians. These systems have the potential to assist the diagnosis and monitoring of neurodeg…
Explainable offline automatic signature verifier to support forensic handwriting examiners
Moises Diaz, Miguel A. Ferrer, Gennaro Vessio
Signature verification is a critical task in many applications, including forensic science, legal judgments, and financial markets. However, current signature verification systems…