| Dpfm: Deep partial functional maps S Attaiki, G Pai, M Ovsjanikov 2021 International Conference on 3D Vision (3DV), 175-185, 2021 | 72* | 2021 |
| Fast sinkhorn filters: Using matrix scaling for non-rigid shape correspondence with functional maps G Pai, J Ren, S Melzi, P Wonka, M Ovsjanikov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 56 | 2021 |
| Dimal: Deep isometric manifold learning using sparse geodesic sampling G Pai, R Talmon, A Bronstein, R Kimmel 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 819-828, 2019 | 47 | 2019 |
| Deep eikonal solvers M Lichtenstein, G Pai, R Kimmel Scale Space and Variational Methods in Computer Vision: 7th International …, 2019 | 18 | 2019 |
| Implicit field supervision for robust non-rigid shape matching R Sundararaman, G Pai, M Ovsjanikov European Conference on Computer Vision, 344-362, 2022 | 15 | 2022 |
| Analysis of (sub-) riemannian pde-g-cnns G Bellaard, DLJ Bon, G Pai, BMN Smets, R Duits Journal of Mathematical Imaging and Vision 65 (6), 819-843, 2023 | 11 | 2023 |
| Symmetric smoothing filters from global consistency constraints SM Haque, G Pai, VM Govindu IEEE Transactions on Image Processing 24 (5), 1536-1548, 2015 | 11 | 2015 |
| Sparse approximation of 3D meshes using the spectral geometry of the Hamiltonian operator Y Choukroun, G Pai, R Kimmel Journal of Mathematical Imaging and Vision 60, 941-952, 2018 | 10 | 2018 |
| Learning Invariant Representations of Planar Curves G Pai, A Wetzler, R Kimmel International Conference on Learning Representations (ICLR), 2017 | 8 | 2017 |
| Functional properties of pde-based group equivariant convolutional neural networks G Pai, G Bellaard, BMN Smets, R Duits International Conference on Geometric Science of Information, 63-72, 2023 | 5 | 2023 |
| Camera based respiration rate of neonates by modeling movement of chest and abdomen region V Makkapati, P Raman, G Pai 2016 International Conference on Signal Processing and Communications (SPCOM …, 2016 | 5 | 2016 |
| Geodesic tracking via new data-driven connections of cartan type for vascular tree tracking NJ van den Berg, BMN Smets, G Pai, JM Mirebeau, R Duits Journal of Mathematical Imaging and Vision 66 (2), 198-230, 2024 | 3 | 2024 |
| Geometric adaptations of PDE-G-CNNs G Bellaard, G Pai, JO Bescos, R Duits International Conference on Scale Space and Variational Methods in Computer …, 2023 | 3 | 2023 |
| Deep Learning for Segmentation of Cracks in High-Resolution Images of Steel Bridges A Kompanets, G Pai, R Duits, D Leonetti, B Snijder arXiv preprint arXiv:2403.17725, 2024 | 2 | 2024 |
| Deep isometric maps G Pai, A Bronstein, R Talmon, R Kimmel Image and Vision Computing 123, 104461, 2022 | 2 | 2022 |
| Schrödinger Operator for Sparse Approximation of 3D Meshes Y Choukroun, G Pai, R Kimmel Symposium on Geometry Processing 2017 - Posters, 2017 | 2 | 2017 |
| On geometric invariants, learning, and recognition of shapes and forms G Pai, M Joseph-Rivlin, R Kimmel, N Sochen Handbook of Variational Methods for Nonlinear Geometric Data, 443-461, 2020 | 1 | 2020 |
| Optimal Transport on the Lie Group of Roto-translations D Bon, G Pai, G Bellaard, O Mula, R Duits arXiv preprint arXiv:2402.15322, 2024 | | 2024 |
| A modified Allen-Cahn model for pattern synthesis on surfaces L Dascal, G Pai, R Kimmel arXiv preprint arXiv:2008.07654, 2020 | | 2020 |
| Learning for Numerical Geometry G Pai Faculty of Computer Science, Technion, 2019 | | 2019 |
Ron KimmelProf. of CS (& ECE) Technion, CSO of Lumana, IsraelVerified email at cs.technion.ac.il
