SFINGE 3D: A novel benchmark for online detection and recognition of heterogeneous hand gestures from 3D fingers' trajectories. - Ariel Caputo; Andrea Giachetti 001; Franca Giannini; Katia Lupinetti; Marina Monti; Marco Pegoraro 002; Andrea Ranieri (Comput. Graph., 2020)

Learning to generate shape from global-local spectra. - Marco Pegoraro 002; Riccardo Marin; Simone Melzi; Emanuele Rodolà; Umberto Castellani (CoRR, 2021)

Localized Shape Modelling with Global Coherence: An Inverse Spectral Approach. - Marco Pegoraro 002; Simone Melzi; Umberto Castellani; Riccardo Marin; Emanuele Rodolà (Comput. Graph. Forum, 2022)

Harnessing spectral representations for subgraph alignment. - Marco Pegoraro 002; Riccardo Marin; Arianna Rampini; Simone Melzi; Luca Cosmo; Emanuele Rodolà (CoRR, 2022)

Spectral Maps for Learning on Subgraphs. - Marco Pegoraro 002; Riccardo Marin; Arianna Rampini; Simone Melzi; Luca Cosmo; Emanuele Rodolà (NeurReps, 2023)

Geometric Epitope and Paratope Prediction. - Marco Pegoraro 002; Clémentine C. J. Dominé; Emanuele Rodolà; Petar Velickovic; Andreea Deac (CoRR, 2023)

Vector Quantile Regression on Manifolds. - Marco Pegoraro 002; Sanketh Vedula; Aviv Rosenberg 001; Irene Tallini; Emanuele Rodolà; Alex M. Bronstein (AISTATS, 2024)

Latent Functional Maps: a spectral framework for representation alignment. - Marco Fumero; Marco Pegoraro 002; Valentino Maiorca; Francesco Locatello; Emanuele Rodolà (NeurIPS, 2024)

Latent Functional Maps. - Marco Fumero; Marco Pegoraro 002; Valentino Maiorca; Francesco Locatello; Emanuele Rodolà (CoRR, 2024)