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ORCIDGiuseppe Vecchio
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2020 – today
- 2024
[j4]Giuseppe Vecchio, Simone Palazzo, Dario C. Guastella
, Daniela Giordano, Giovanni Muscato, Concetto Spampinato:
Terrain traversability prediction through self-supervised learning and unsupervised domain adaptation on synthetic data. Auton. Robots 48(2): 4 (2024)- [c4]Giuseppe Vecchio, Renato Sortino, Simone Palazzo, Concetto Spampinato:
MatFuse: Controllable Material Generation with Diffusion Models. CVPR 2024: 4429-4438 - [c3]Giuseppe Vecchio, Valentin Deschaintre:
MatSynth: A Modern PBR Materials Dataset. CVPR 2024: 22109-22118 - [i8]Giuseppe Vecchio, Valentin Deschaintre:
MatSynth: A Modern PBR Materials Dataset. CoRR abs/2401.06056 (2024) - [i7]Giuseppe Vecchio:
StableMaterials: Enhancing Diversity in Material Generation via Semi-Supervised Learning. CoRR abs/2406.09293 (2024) - 2023
- [j3]Giuseppe Vecchio, Luca Prezzavento, Carmelo Pino, Francesco Rundo, Simone Palazzo, Concetto Spampinato:
MeT: A graph transformer for semantic segmentation of 3D meshes. Comput. Vis. Image Underst. 235: 103773 (2023) - [i6]Giuseppe Vecchio, Luca Prezzavento, Carmelo Pino, Francesco Rundo, Simone Palazzo, Concetto Spampinato:
MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes. CoRR abs/2307.01115 (2023) - [i5]Giuseppe Vecchio, Renato Sortino, Simone Palazzo, Concetto Spampinato:
MatFuse: Controllable Material Generation with Diffusion Models. CoRR abs/2308.11408 (2023) - [i4]Giuseppe Vecchio, Rosalie Martin, Arthur Roullier, Adrien Kaiser, Romain Rouffet, Valentin Deschaintre, Tamy Boubekeur:
ControlMat: A Controlled Generative Approach to Material Capture. CoRR abs/2309.01700 (2023) - 2022
- [j2]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:
Deep reinforcement learning for multi-agent interaction. AI Commun. 35(4): 357-368 (2022) - [i3]Giuseppe Vecchio, Simone Palazzo, Dario C. Guastella, Ignacio Carlucho, Stefano V. Albrecht, Giovanni Muscato, Concetto Spampinato:
MIDGARD: A Simulation Platform for Autonomous Navigation in Unstructured Environments. CoRR abs/2205.08389 (2022) - [i2]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:
Deep Reinforcement Learning for Multi-Agent Interaction. CoRR abs/2208.01769 (2022) - 2021
- [c2]Carmelo Pino, Giuseppe Vecchio, Marco Fronda, Marco Calandri, Marco Aldinucci, Concetto Spampinato:
TwinLiverNet: Predicting TACE Treatment Outcome from CT scans for Hepatocellular Carcinoma using Deep Capsule Networks. EMBC 2021: 3039-3043 - [c1]Giuseppe Vecchio, Simone Palazzo, Concetto Spampinato:
SurfaceNet: Adversarial SVBRDF Estimation from a Single Image. ICCV 2021: 12820-12828 - [i1]Giuseppe Vecchio, Simone Palazzo, Concetto Spampinato:
SurfaceNet: Adversarial SVBRDF Estimation from a Single Image. CoRR abs/2107.11298 (2021) - 2020
- [j1]Giuseppe Vecchio, Simone Palazzo, Daniela Giordano, Francesco Rundo, Concetto Spampinato:
MASK-RL: Multiagent Video Object Segmentation Framework Through Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5103-5115 (2020)
Coauthor Index
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