Gautam Pai
Cited by
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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
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 (6), 941-952, 2018
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
Deep Eikonal Solvers
M Lichtenstein, G Pai, R Kimmel
International Conference on Scale Space and Variational Methods in Computer …, 2019
Schrödinger Operator for Sparse Approximation of 3D Meshes
Y Choukroun, G Pai, R Kimmel
Symposium on Geometry Processing 2017 - Posters, 2017
Learning Invariant Representations Of Planar Curves
G Pai, A Wetzler, R Kimmel
International Conference On Learning Representations (ICLR) - 2017, 2017
A modified Allen-Cahn model for pattern synthesis on surfaces
L Dascal, G Pai, R Kimmel
arXiv preprint arXiv:2008.07654, 2020
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
Bilateral Operators for Functional Maps
G Pai, M Joseph-Rivlin, R Kimmel
arXiv preprint arXiv:1907.12993, 2019
Learning for Numerical Geometry
G Pai, R Kimmel
Computer Science Department, Technion, 2019
Using Global Consistency Constraints for De-noising Of Natural Images
G Pai
Department Of Electrical Engineering, Indian Institute of Science - Bangalore, 2013
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