Unsupervised learning of dense shape correspondence O Halimi, O Litany, E Rodola, AM Bronstein, R Kimmel Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 173 | 2019 |
Limp: Learning latent shape representations with metric preservation priors L Cosmo, A Norelli, O Halimi, R Kimmel, E Rodola Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 72 | 2020 |
Towards precise completion of deformable shapes O Halimi, I Imanuel, O Litany, G Trappolini, E Rodolà, L Guibas, R Kimmel Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 25* | 2020 |
Pattern-Based Cloth Registration and Sparse-View Animation. O Halimi, T Stuyck, D Xiang, TM Bagautdinov, H Wen, R Kimmel, ... ACM Trans. Graph. 41 (6), 196:1-196:17, 2022 | 21* | 2022 |
FETA: Towards specializing foundational models for expert task applications A Alfassy, A Arbelle, O Halimi, S Harary, R Herzig, E Schwartz, R Panda, ... Advances in Neural Information Processing Systems 35, 29873-29888, 2022 | 12 | 2022 |
Self functional maps O Halimi, R Kimmel 2018 International Conference on 3D Vision (3DV), 710-718, 2018 | 8 | 2018 |
Shape correspondence by aligning scale-invariant LBO eigenfunctions A Bracha, O Halim, R Kimmel The Eurographics Association, 2020 | 7 | 2020 |
Computable invariants for curves and surfaces O Halimi, D Raviv, Y Aflalo, R Kimmel Handbook of Numerical Analysis 20, 273-314, 2019 | 6 | 2019 |
Physgraph: Physics-based integration using graph neural networks O Halimi, E Larionov, Z Barzelay, P Herholz, T Stuyck arXiv preprint arXiv:2301.11841, 2023 | 3 | 2023 |
Groundstates of liquid crystals with colloids J Adler, P Aharonian, O Halimi Journal of Physics: Conference Series 1136 (1), 012028, 2018 | | 2018 |
Emanuele Rodola1 L Cosmo, A Norelli, O Halimi, R Kimmel | | |
Unsupervised Learning of Dense Shape Correspondence–Supplementary Material– O Halimi, O Litany, E Rodola, A Bronstein, R Kimmel | | |