Gautam Pai - RankMe

28 papers A* 1A 1Journal 16Unranked 9

Year	Rank	Type	Title / 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