| Diffusionnet: Discretization agnostic learning on surfaces N Sharp, S Attaiki, K Crane, M Ovsjanikov ACM Transactions on Graphics (TOG) 41 (3), 1-16, 2022 | 178 | 2022 |
| Dpfm: Deep partial functional maps S Attaiki, G Pai, M Ovsjanikov 2021 International Conference on 3D Vision (3DV), 175-185, 2021 | 60 | 2021 |
| Understanding and improving features learned in deep functional maps S Attaiki, M Ovsjanikov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| SRFeat: Learning locally accurate and globally consistent non-rigid shape correspondence L Li, S Attaiki, M Ovsjanikov 2022 International Conference on 3D Vision (3DV), 144-154, 2022 | 10 | 2022 |
| NCP: Neural correspondence prior for effective unsupervised shape matching S Attaiki, M Ovsjanikov Advances in Neural Information Processing Systems 35, 28842-28857, 2022 | 9 | 2022 |
| DPFM: Deep partial functional maps. In2021 InternationalConference on 3D Vision (3DV) S Attaiki, G Pai, M Ovsjanikov IEEE, Dec, 2021 | 9 | 2021 |
| Generalizable local feature pre-training for deformable shape analysis S Attaiki, L Li, M Ovsjanikov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction S Attaiki, M Ovsjanikov Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Unsupervised Representation Learning for Diverse Deformable Shape Collections S Hahner, S Attaiki, J Garcke, M Ovsjanikov 2024 International Conference on 3D Vision (3DV), 1594-1604, 2024 | | 2024 |
| AtomSurf: Surface Representation for Learning on Protein Structures V Mallet, S Attaiki, M Ovsjanikov arXiv preprint arXiv:2309.16519, 2023 | | 2023 |
| Smoothness and effective regularizations in learned embeddings for shape matching R Marin, S Attaiki, S Melzi, E Rodolà, M Ovsjanikov arXiv preprint arXiv:2112.07289, 2021 | | 2021 |
| Supplementary Material for: Unsupervised Representation Learning for Diverse Deformable Shape Collections S Hahner, S Attaiki, J Garcke, M Ovsjanikov | | |
Maks OvsjanikovProfessor, Ecole Polytechnique在 lix.polytechnique.fr 的电子邮件经过验证
