Gautam Pai

28 papers A* 1A 1Journal 16Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
Entropic Optimal Transport with Data-Driven Metrics on the Roto-Translation Group.
SSVM (2)
Gautam Pai, Gijs Bellaard, Rick Sengers, Luc Florack, Remco Duits
2025 J jnl
Optimal Transport on the Lie Group of Roto-translations.
SIAM J. Imaging Sci.
Daan L. J. Bon, Gautam Pai, Gijs Bellaard, Olga Mula, Remco Duits
2024 J jnl
Deep Learning for Segmentation of Cracks in High-Resolution Images of Steel Bridges.
CoRR
Andrii Kompanets, Gautam Pai, Remco Duits, Davide Leonetti, Bert Snijder
2024 J jnl
Geodesic Tracking via New Data-Driven Connections of Cartan Type for Vascular Tree Tracking.
J. Math. Imaging Vis.
Nicky J. van den Berg, Bart M. N. Smets, Gautam Pai, Jean-Marie Mirebeau, Remco Duits
2024 J jnl
Optimal Transport on the Lie Group of Roto-translations.
CoRR
Daan L. J. Bon, Gautam Pai, Gijs Bellaard, Olga Mula, Remco Duits
2023 J jnl
Analysis of (sub-)Riemannian PDE-G-CNNs.
J. Math. Imaging Vis.
Gijs Bellaard, Daan L. J. Bon, Gautam Pai, Bart M. N. Smets, Remco Duits
2023 — conf
Functional Properties of PDE-Based Group Equivariant Convolutional Neural Networks.
GSI (1)
Gautam Pai, Gijs Bellaard, Bart M. N. Smets, Remco Duits
2023 — conf
Geometric Adaptations of PDE-G-CNNs.
SSVM
Gijs Bellaard, Gautam Pai, Javier Oliván Bescós, Remco Duits
2022 J jnl
Analysis of (sub-)Riemannian PDE-G-CNNs.
CoRR
Gijs Bellaard, Daan L. J. Bon, Gautam Pai, Bart M. N. Smets, Remco Duits
2022 J jnl
Deep Isometric Maps.
Image Vis. Comput.
Gautam Pai, Alex M. Bronstein, Ronen Talmon, Ron Kimmel
2022 — conf
Implicit Field Supervision for Robust Non-rigid Shape Matching.
ECCV (3)
Ramana Sundararaman, Gautam Pai, Maks Ovsjanikov
2022 J jnl
Implicit field supervision for robust non-rigid shape matching.
CoRR
Ramana Sundararaman, Gautam Pai, Maks Ovsjanikov
2021 — conf
DPFM: Deep Partial Functional Maps.
3DV
Souhaib Attaiki, Gautam Pai, Maks Ovsjanikov
2021 J jnl
DPFM: Deep Partial Functional Maps.
CoRR
Souhaib Attaiki, Gautam Pai, Maks Ovsjanikov
2021 A* conf
Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps.
CVPR
Gautam Pai, Jing Ren, Simone Melzi, Peter Wonka, Maks Ovsjanikov
2020 J jnl
A modified Allen-Cahn model for pattern synthesis on surfaces.
CoRR
Lorina Dascal, Gautam Pai, Ron Kimmel
2019 J jnl
Bilateral Operators for Functional Maps.
CoRR
Gautam Pai, Mor Joseph-Rivlin, Ron Kimmel
2019 A conf
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling.
WACV
Gautam Pai, Ronen Talmon, Alexander M. Bronstein, Ron Kimmel
2019 — conf
Deep Eikonal Solvers.
SSVM
Moshe Lichtenstein, Gautam Pai, Ron Kimmel
2019 J jnl
Deep Eikonal Solvers.
CoRR
Moshe Lichtenstein, Gautam Pai, Ron Kimmel
2019 — —
Learning for Numerical Geometry.
Gautam Pai
2018 J jnl
Sparse Approximation of 3D Meshes Using the Spectral Geometry of the Hamiltonian Operator.
J. Math. Imaging Vis.
Yoni Choukroun, Gautam Pai, Ron Kimmel
2017 — conf
Learning Invariant Representations Of Planar Curves.
ICLR (Poster)
Gautam Pai, Aaron Wetzler, Ron Kimmel
2017 J jnl
Parametric Manifold Learning Via Sparse Multidimensional Scaling.
CoRR
Gautam Pai, Ronen Talmon, Ron Kimmel
2017 — conf
Schrödinger Operator for Sparse Approximation of 3D Meshes.
SGP (Posters)
Yoni Choukroun, Gautam Pai, Ron Kimmel
2017 J jnl
Sparse Approximation of 3D Meshes using the Spectral Geometry of the Hamiltonian Operator.
CoRR
Yoni Choukroun, Gautam Pai, Ron Kimmel
2016 — conf
Camera based respiration rate of neonates by modeling movement of chest and abdomen region.
SPCOM
Vishnu Makkapati, Pujita Raman, Gautam Pai
2016 J jnl
Learning Invariant Representations Of Planar Curves.
CoRR
Gautam Pai, Aaron Wetzler, Ron Kimmel