Gautam Pai
Gautam Pai
Postdoc @ TU/e
Verified email at - Homepage
Cited by
Cited by
Dpfm: Deep partial functional maps
S Attaiki, G Pai, M Ovsjanikov
2021 International Conference on 3D Vision (3DV), 175-185, 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
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
Deep eikonal solvers
M Lichtenstein, G Pai, R Kimmel
Scale Space and Variational Methods in Computer Vision: 7th International …, 2019
Implicit field supervision for robust non-rigid shape matching
R Sundararaman, G Pai, M Ovsjanikov
European Conference on Computer Vision, 344-362, 2022
Symmetric smoothing filters from global consistency constraints
SM Haque, G Pai, VM Govindu
IEEE Transactions on Image Processing 24 (5), 1536-1548, 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
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
Learning Invariant Representations of Planar Curves
G Pai, A Wetzler, R Kimmel
International Conference on Learning Representations (ICLR), 2017
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
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
Geodesic tracking via new data-driven connections of cartan type for vascular tree tracking
NJ van den Berg, B Smets, G Pai, JM Mirebeau, R Duits
Journal of Mathematical Imaging and Vision, 1-33, 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
Deep isometric maps
G Pai, A Bronstein, R Talmon, R Kimmel
Image and Vision Computing 123, 104461, 2022
Schrödinger Operator for Sparse Approximation of 3D Meshes
Y Choukroun, G Pai, R Kimmel
Symposium on Geometry Processing 2017 - Posters, 2017
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
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
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
A modified Allen-Cahn model for pattern synthesis on surfaces
L Dascal, G Pai, R Kimmel
arXiv preprint arXiv:2008.07654, 2020
Learning for Numerical Geometry
G Pai
Faculty of Computer Science, Technion, 2019
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