Bi-invariant Dissimilarity Measures for Sample Distributions in Lie Groups

20 February 2024

Papers citing "Bi-invariant Dissimilarity Measures for Sample Distributions in Lie Groups"

9 / 9 papers shown

Title
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 92 3 0 25 Jan 2024
Rigid Motion Invariant Statistical Shape Modeling based on Discrete Fundamental Forms F. Ambellan S. Zachow C. V. Tycowicz 38 19 0 05 Nov 2021
Bi-invariant Two-Sample Tests in Lie Groups for Shape Analysis M. Hanik H. Hege C. V. Tycowicz 19 3 0 27 Aug 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 118 323 0 25 Feb 2020
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis Erik J. Bekkers Maxime W. Lafarge M. Veta K. Eppenhof J. Pluim R. Duits MedIm 65 173 0 10 Apr 2018
A Smeary Central Limit Theorem for Manifolds with Application to High Dimensional Spheres B. Eltzner S. Huckemann 44 54 0 19 Jan 2018
Deep Learning on Lie Groups for Skeleton-based Action Recognition Zhiwu Huang Chengde Wan Thomas Probst Luc Van Gool 3DH 64 280 0 18 Dec 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 169 1,936 0 24 Feb 2016
Differential Recurrent Neural Networks for Action Recognition Vivek Veeriah Naifan Zhuang Guo-Jun Qi 98 464 0 25 Apr 2015