Giuseppe Vecchio

20 papers A* 3Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Φeat: Physically-Grounded Feature Representation.
CoRR
Giuseppe Vecchio, Adrien Kaiser, Romain Rouffet, Rosalie Martin, Elena Garces, Tamy Boubekeur
2024 J jnl
ControlMat: A Controlled Generative Approach to Material Capture.
ACM Trans. Graph.
Giuseppe Vecchio, Rosalie Martin, Arthur Roullier, Adrien Kaiser, Romain Rouffet, Valentin Deschaintre, Tamy Boubekeur
2024 — conf
Learning-Based Ground Vehicle Navigation in Outdoor Unstructured Environments.
ERF (1)
Simone Palazzo, Dario C. Guastella, Giuseppe Vecchio, Riccardo Emanuele Sarpietro, Giuseppe Sutera, Francesco Cancelliere, Giovanni Muscato, Concetto Spampinato
2024 — conf
MIDGARD: A Robot Navigation Simulator for Outdoor Unstructured Environments.
ERF (1)
Giuseppe Vecchio, Riccardo Emanuele Sarpietro, Francesco Cancelliere, Simone Palazzo, Dario C. Guastella, Alessandro Strano, Ignacio Carlucho, Giovanni Muscato, Stefano V. Albrecht, Concetto Spampinato
2024 A* conf
MatFuse: Controllable Material Generation with Diffusion Models.
CVPR
Giuseppe Vecchio, Renato Sortino, Simone Palazzo, Concetto Spampinato
2024 A* conf
MatSynth: A Modern PBR Materials Dataset.
CVPR
Giuseppe Vecchio, Valentin Deschaintre
2024 J jnl
MatSynth: A Modern PBR Materials Dataset.
CoRR
Giuseppe Vecchio, Valentin Deschaintre
2024 J jnl
StableMaterials: Enhancing Diversity in Material Generation via Semi-Supervised Learning.
CoRR
Giuseppe Vecchio
2024 J jnl
Structured Pattern Expansion with Diffusion Models.
CoRR
Marzia Riso, Giuseppe Vecchio, Fabio Pellacini
2024 J jnl
Terrain traversability prediction through self-supervised learning and unsupervised domain adaptation on synthetic data.
Auton. Robots
Giuseppe Vecchio, Simone Palazzo, Dario C. Guastella, Daniela Giordano, Giovanni Muscato, Concetto Spampinato
2023 J jnl
ControlMat: A Controlled Generative Approach to Material Capture.
CoRR
Giuseppe Vecchio, Rosalie Martin, Arthur Roullier, Adrien Kaiser, Romain Rouffet, Valentin Deschaintre, Tamy Boubekeur
2023 J jnl
MatFuse: Controllable Material Generation with Diffusion Models.
CoRR
Giuseppe Vecchio, Renato Sortino, Simone Palazzo, Concetto Spampinato
2023 J jnl
MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes.
CoRR
Giuseppe Vecchio, Luca Prezzavento, Carmelo Pino, Francesco Rundo, Simone Palazzo, Concetto Spampinato
2022 J jnl
Deep Reinforcement Learning for Multi-Agent Interaction.
CoRR
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
2022 J jnl
Deep reinforcement learning for multi-agent interaction.
AI Commun.
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
2022 J jnl
MIDGARD: A Simulation Platform for Autonomous Navigation in Unstructured Environments.
CoRR
Giuseppe Vecchio, Simone Palazzo, Dario C. Guastella, Ignacio Carlucho, Stefano V. Albrecht, Giovanni Muscato, Concetto Spampinato
2021 A* conf
SurfaceNet: Adversarial SVBRDF Estimation from a Single Image.
ICCV
Giuseppe Vecchio, Simone Palazzo, Concetto Spampinato
2021 J jnl
SurfaceNet: Adversarial SVBRDF Estimation from a Single Image.
CoRR
Giuseppe Vecchio, Simone Palazzo, Concetto Spampinato
2021 — conf
TwinLiverNet: Predicting TACE Treatment Outcome from CT scans for Hepatocellular Carcinoma using Deep Capsule Networks.
EMBC
Carmelo Pino, Giuseppe Vecchio, Marco Fronda, Marco Calandri, Marco Aldinucci, Concetto Spampinato
2020 J jnl
MASK-RL: Multiagent Video Object Segmentation Framework Through Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Giuseppe Vecchio, Simone Palazzo, Daniela Giordano, Francesco Rundo, Concetto Spampinato