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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
162*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
632020
Towards precise completion of deformable shapes
O Halimi, I Imanuel, O Litany, G Trappolini, E Rodolā, L Guibas, R Kimmel
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
21*2020
Pattern-Based Cloth Registration and Sparse-View Animation
O Halimi, T Stuyck, D Xiang, T Bagautdinov, H Wen, R Kimmel, T Shiratori, ...
ACM Transactions on Graphics (TOG) 41 (6), 1-17, 2022
15*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
82022
Self functional maps
O Halimi, R Kimmel
2018 International Conference on 3D Vision (3DV), 710-718, 2018
62018
Shape correspondence by aligning scale-invariant LBO eigenfunctions
A Bracha, O Halim, R Kimmel
The Eurographics Association, 2020
42020
Computable invariants for curves and surfaces
O Halimi, D Raviv, Y Aflalo, R Kimmel
Handbook of Numerical Analysis 20, 273-314, 2019
42019
PhysGraph: Physics-Based Integration Using Graph Neural Networks
O Halimi, E Larionov, Z Barzelay, P Herholz, T Stuyck
arXiv preprint arXiv:2301.11841, 2023
12023
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
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Articles 1–12