| Titolo |
Pubblicato in |
Anno |
| Learning Spectral Unions of Partial Deformable 3D Shapes |
Computer Graphics Forum |
2022 |
| Learning disentangled representations via product manifold projection |
Proceedings of the 38th International Conference on Machine Learning |
2021 |
| Universal Spectral Adversarial Attacks for Deformable Shapes |
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
2021 |
| Shape Registration in the Time of Transformers |
Advances in Neural Information Processing Systems 34 pre-proceedings (NeurIPS 2021) |
2021 |
| LIMP: Learning Latent Shape Representations with Metric Preservation Priors |
Lecture Notes in Computer Science |
2020 |
| Generating Adversarial Surfaces via Band-Limited Perturbations |
COMPUTER GRAPHICS FORUM |
2020 |
| A parametric analysis of discrete Hamiltonian functional maps |
COMPUTER GRAPHICS FORUM |
2020 |
| Spatial Maps: from low rank spectral to sparse spatial functional representations |
Proceedings - 2017 International Conference on 3D Vision, 3DV 2017 |
2018 |
| Consistent partial matching of shape collections via Sparse Modeling |
COMPUTER GRAPHICS FORUM |
2017 |
| Partial functional correspondence |
COMPUTER GRAPHICS FORUM |
2017 |
| A game-theoretical approach for joint matching of multiple feature throughout unordered images |
Proceedings - International Conference on Pattern Recognition |
2017 |
| SHREC'17: deformable shape retrieval with missing parts |
Eurographics Workshop on 3D Object Retrieval |
2017 |
| SHREC'16: matching of deformable shapes with topological noise |
Eurographics Workshop on 3D Object Retrieval, EG 3DOR |
2016 |
| SHREC'16: partial matching of deformable shapes |
Eurographics Workshop on 3D Object Retrieval, EG 3DOR |
2016 |
| Matching deformable objects in clutter |
Proceedings - 2016 4th International Conference on 3D Vision, 3DV 2016 |
2016 |
| An accurate and robust artificial marker based on cyclic codes |
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE |
2016 |
| Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction |
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
2015 |
