GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition
Author:
Affiliation:
1. CY Cergy Paris Université, ENSEA, CNRS,ETIS UMR 8051,Cergy,France,F-95000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710294.pdf?arnumber=9710294
Reference68 articles.
1. A Differential Geometric Approach to the Geometric Mean of Symmetric Positive-Definite Matrices
2. geomstats: a Python Package for Riemannian Geometry in Machine Learning;miolane,2018
3. Recognizing Human Actions as the Evolution of Pose Estimation Maps
4. Enhanced skeleton visualization for view invariant human action recognition
5. Global Context-Aware Attention LSTM Networks for 3D Action Recognition
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3. Multi-Modal Enhancement Transformer Network for Skeleton-Based Human Interaction Recognition;Biomimetics;2024-02-20
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