Gautam Pai

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 14

Top Topics

Laplace Beltrami

Sparse Approximation

Skeleton Extraction

Manifold Learning

Top Venues

J. Math. Imaging Vis.

Publications

Souhaib Attaiki, Gautam Pai, Maks Ovsjanikov
DPFM: Deep Partial Functional Maps. CoRR (2021)
Souhaib Attaiki, Gautam Pai, Maks Ovsjanikov
DPFM: Deep Partial Functional Maps. 3DV (2021)
Gautam Pai, Jing Ren, Simone Melzi, Peter Wonka, Maks Ovsjanikov
Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps. CVPR (2021)
Lorina Dascal, Gautam Pai, Ron Kimmel
A modified Allen-Cahn model for pattern synthesis on surfaces. CoRR (2020)
Gautam Pai, Mor Joseph-Rivlin, Ron Kimmel
Bilateral Operators for Functional Maps. CoRR (2019)
Moshe Lichtenstein, Gautam Pai, Ron Kimmel
Deep Eikonal Solvers. CoRR (2019)
Moshe Lichtenstein, Gautam Pai, Ron Kimmel
Deep Eikonal Solvers. SSVM (2019)
Gautam Pai, Ronen Talmon, Alexander M. Bronstein, Ron Kimmel
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling. WACV (2019)
Yoni Choukroun, Gautam Pai, Ron Kimmel
Sparse Approximation of 3D Meshes Using the Spectral Geometry of the Hamiltonian Operator. J. Math. Imaging Vis. 60 (6) (2018)
Gautam Pai, Ronen Talmon, Ron Kimmel
Parametric Manifold Learning Via Sparse Multidimensional Scaling. CoRR (2017)
Yoni Choukroun, Gautam Pai, Ron Kimmel
Schrödinger Operator for Sparse Approximation of 3D Meshes. SGP (Posters) (2017)
Gautam Pai, Aaron Wetzler, Ron Kimmel
Learning Invariant Representations Of Planar Curves. ICLR (Poster) (2017)
Yoni Choukroun, Gautam Pai, Ron Kimmel
Sparse Approximation of 3D Meshes using the Spectral Geometry of the Hamiltonian Operator. CoRR (2017)
Gautam Pai, Aaron Wetzler, Ron Kimmel
Learning Invariant Representations Of Planar Curves. CoRR (2016)