Giuseppe Vecchio

According to our database, Giuseppe Vecchio authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Terrain traversability prediction through self-supervised learning and unsupervised domain adaptation on synthetic data.

Giuseppe Vecchio, Simone Palazzo, Dario C. Guastella, Daniela Giordano, Giovanni Muscato, Concetto Spampinato

Auton. Robots, April, 2024

MatSynth: A Modern PBR Materials Dataset.

Giuseppe Vecchio, Valentin Deschaintre

CoRR, 2024

2023

<i>MeT</i>: A graph transformer for semantic segmentation of 3D meshes.

Giuseppe Vecchio, Luca Prezzavento, Carmelo Pino, Francesco Rundo, Simone Palazzo, Concetto Spampinato

Comput. Vis. Image Underst., October, 2023

ControlMat: A Controlled Generative Approach to Material Capture.

Giuseppe Vecchio, Rosalie Martin, Arthur Roullier, Adrien Kaiser, Romain Rouffet, Valentin Deschaintre, Tamy Boubekeur

CoRR, 2023

MatFuse: Controllable Material Generation with Diffusion Models.

Giuseppe Vecchio, Renato Sortino, Simone Palazzo, Concetto Spampinato

CoRR, 2023

MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes.

Giuseppe Vecchio, Luca Prezzavento, Carmelo Pino, Francesco Rundo, Simone Palazzo, Concetto Spampinato

CoRR, 2023

2022

MIDGARD: A Simulation Platform for Autonomous Navigation in Unstructured Environments.

Giuseppe Vecchio, Simone Palazzo, Dario C. Guastella, Ignacio Carlucho, Stefano V. Albrecht, Giovanni Muscato, Concetto Spampinato

CoRR, 2022

Deep reinforcement learning for multi-agent interaction.

Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, Filippos Christianos, Mhairi Dunion, Elliot Fosong, Samuel Garcin, Shangmin Guo, Balint Gyevnar, Trevor McInroe, Georgios Papoudakis, Arrasy Rahman, Lukas Schäfer, Massimiliano Tamborski, Giuseppe Vecchio, Cheng Wang, Stefano V. Albrecht

AI Commun., 2022

2021

SurfaceNet: Adversarial SVBRDF Estimation from a Single Image.

Giuseppe Vecchio, Simone Palazzo, Concetto Spampinato

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

TwinLiverNet: Predicting TACE Treatment Outcome from CT scans for Hepatocellular Carcinoma using Deep Capsule Networks.

Carmelo Pino, Giuseppe Vecchio, Marco Fronda, Marco Calandri, Marco Aldinucci, Concetto Spampinato

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

MASK-RL: Multiagent Video Object Segmentation Framework Through Reinforcement Learning.

Giuseppe Vecchio, Simone Palazzo, Daniela Giordano, Francesco Rundo, Concetto Spampinato

IEEE Trans. Neural Networks Learn. Syst., 2020