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Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action
  Recognition

Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition

30 July 2020
Wei Peng
Jingang Shi
Zhaoqiang Xia
Guoying Zhao
    GNN
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Papers citing "Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition"

5 / 5 papers shown
Title
EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perception
EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perception
Haosheng chen
Lian Luo
Mengjingcheng Mo
Zhanjie Wu
Guobao Xiao
Ji Gan
Jiaxu Leng
Xinbo Gao
22
0
0
23 Apr 2025
Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction
Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction
Zhiying Leng
Shun-cheng Wu
Mahdi Saleh
Antonio Montanaro
Hao Yu
Yin Wang
Nassir Navab
Xiaohui Liang
Federico Tombari
3DH
14
7
0
06 Sep 2023
Hyperbolic Graph Neural Networks: A Review of Methods and Applications
Hyperbolic Graph Neural Networks: A Review of Methods and Applications
Menglin Yang
Min Zhou
Zhihao Li
Jiahong Liu
Lujia Pan
Hui Xiong
Irwin King
8
52
0
28 Feb 2022
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
231
1,801
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
228
3,202
0
24 Nov 2016
1