Symmetric Smoothing Filters From Global Consistency Constraints. - Sheikh Mohammadul Haque; Gautam P. Pai; Venu Madhav Govindu (IEEE Trans. Image Process., 2015)

Camera based respiration rate of neonates by modeling movement of chest and abdomen region. - Vishnu Makkapati; Pujita Raman; Gautam Pai 001 (SPCOM, 2016)

Learning Invariant Representations Of Planar Curves. - Gautam Pai 001; Aaron Wetzler; Ron Kimmel (ICLR (Poster), 2017)

Schrödinger Operator for Sparse Approximation of 3D Meshes. - Yoni Choukroun; Gautam Pai 001; Ron Kimmel (SGP (Posters), 2017)

Parametric Manifold Learning Via Sparse Multidimensional Scaling. - Gautam Pai 001; Ronen Talmon; Ron Kimmel (CoRR, 2017)

Sparse Approximation of 3D Meshes Using the Spectral Geometry of the Hamiltonian Operator. - Yoni Choukroun; Gautam Pai 001; Ron Kimmel (J. Math. Imaging Vis., 2018)

Deep Eikonal Solvers. - Moshe Lichtenstein; Gautam Pai 001; Ron Kimmel (SSVM, 2019)

DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling. - Gautam Pai 001; Ronen Talmon; Alexander M. Bronstein; Ron Kimmel (WACV, 2019)

Bilateral Operators for Functional Maps. - Gautam Pai 001; Mor Joseph-Rivlin; Ron Kimmel (CoRR, 2019)

Learning for Numerical Geometry. - Gautam Pai 001 (2019)

A modified Allen-Cahn model for pattern synthesis on surfaces. - Lorina Dascal; Gautam Pai 001; Ron Kimmel (CoRR, 2020)

DPFM: Deep Partial Functional Maps. - Souhaib Attaiki; Gautam Pai 001; Maks Ovsjanikov (3DV, 2021)

Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps. - Gautam Pai 001; Jing Ren 004; Simone Melzi; Peter Wonka; Maks Ovsjanikov (CVPR, 2021)

Implicit Field Supervision for Robust Non-rigid Shape Matching. - Ramana Sundararaman; Gautam Pai 001; Maks Ovsjanikov (ECCV (3), 2022)

Deep Isometric Maps. - Gautam Pai 001; Alex M. Bronstein; Ronen Talmon; Ron Kimmel (Image Vis. Comput., 2022)

Functional Properties of PDE-Based Group Equivariant Convolutional Neural Networks. - Gautam Pai 001; Gijs Bellaard; Bart M. N. Smets; Remco Duits (GSI (1), 2023)

Geometric Adaptations of PDE-G-CNNs. - Gijs Bellaard; Gautam Pai 001; Javier Oliván Bescós; Remco Duits (SSVM, 2023)

Analysis of (sub-)Riemannian PDE-G-CNNs. - Gijs Bellaard; Daan L. J. Bon; Gautam Pai 001; Bart M. N. Smets; Remco Duits (J. Math. Imaging Vis., 2023)

Deep Learning for Segmentation of Cracks in High-Resolution Images of Steel Bridges. - Andrii Kompanets; Gautam Pai 001; Remco Duits; Davide Leonetti; Bert Snijder (CoRR, 2024)

Geodesic Tracking via New Data-Driven Connections of Cartan Type for Vascular Tree Tracking. - Nicky J. van den Berg; Bart M. N. Smets; Gautam Pai 001; Jean-Marie Mirebeau; Remco Duits (J. Math. Imaging Vis., 2024)

Entropic Optimal Transport with Data-Driven Metrics on the Roto-Translation Group. - Gautam Pai 001; Gijs Bellaard; Rick Sengers; Luc Florack; Remco Duits (SSVM (2), 2025)

Optimal Transport on the Lie Group of Roto-translations. - Daan L. J. Bon; Gautam Pai 001; Gijs Bellaard; Olga Mula; Remco Duits (SIAM J. Imaging Sci., 2025)