| Deep geometric functional maps: Robust feature learning for shape correspondence N Donati, A Sharma, M Ovsjanikov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 161 | 2020 |
| Deep orientation-aware functional maps: Tackling symmetry issues in shape matching N Donati, E Corman, M Ovsjanikov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 30 | 2022 |
| Complex functional maps: A conformal link between tangent bundles N Donati, E Corman, S Melzi, M Ovsjanikov Computer Graphics Forum 41 (1), 317-334, 2022 | 20 | 2022 |
| Learning multi-resolution functional maps with spectral attention for robust shape matching L Li, N Donati, M Ovsjanikov Advances in Neural Information Processing Systems 35, 29336-29349, 2022 | 19 | 2022 |
| Robust representations for supervised and unsupervised 3D shape matching N Donati Institut Polytechnique de Paris, 2023 | | 2023 |
| Représentations robustes pour la mise en correspondence de formes 3D via apprentissage supervisé et non-supervisé N Donati | | 2023 |
| Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching: Supplementary Material L Li, N Donati, M Ovsjanikov | | |
| Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence: Supplementary Materials N Donati, A Sharma, M Ovsjanikov Training 15 (17.5), 20.0, 0 | | |
Maks OvsjanikovProfessor, Ecole PolytechniqueVerified email at lix.polytechnique.fr
