4 papers
Sheaves Reloaded: A Directional Awakening
Stefano Fiorini, Hakan Aktas, Iulia Duta +4
Sheaf Neural Networks (SNNs) represent a powerful generalization of Graph Neural Networks (GNNs) that significantly improve our ability to model complex relational data. While dire…
Measuring Uncertainty in Shape Completion to Improve Grasp Quality
Nuno Ferreira Duarte, Seyed S. Mohammadi, Plinio Moreno +2
Shape completion networks have been used recently in real-world robotic experiments to complete the missing/hidden information in environments where objects are only observed in on…
AccioScene: Compositional 3D Scene Generation via Graph Diffusion and Interaction-driven Critics
Yao Wei, Matteo Toso, Pietro Morerio +3
This paper presents a framework for generating 3D indoor scenes from text prompts. Existing methods often formulate scene synthesis as an object layout prediction problem condition…
AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study
Paolo Soda, Natascha Claudia D'Amico, Jacopo Tessadori +25
Recent epidemiological data report that worldwide more than 53 million people have been infected by SARS-CoV-2, resulting in 1.3 million deaths. The disease has been spreading very…