Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2011.13322
Cited By
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition
26 November 2020
Zhen Huang
Xu Shen
Xinmei Tian
Houqiang Li
Jianqiang Huang
Xiansheng Hua
GNN
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition"
12 / 12 papers shown
Title
Learning Mutual Excitation for Hand-to-Hand and Human-to-Human Interaction Recognition
Mengyuan Liu
C. L. P. Chen
Songtao Wu
Fanyang Meng
Hong Liu
27
2
0
04 Feb 2024
D-STGCNT: A Dense Spatio-Temporal Graph Conv-GRU Network based on transformer for assessment of patient physical rehabilitation
Youssef Mourchid
Rim Slama
MedIm
24
15
0
21 Dec 2023
TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient Skeleton-Based Action Recognition with Long-term Learning Potential
Dongjingdin Liu
Pengpeng Chen
Miao Yao
Yijingxiu Lu
Zijie Cai
Yuxin Tian
25
7
0
23 Apr 2023
Focal and Global Spatial-Temporal Transformer for Skeleton-based Action Recognition
Zhimin Gao
Peitao Wang
Pei Lv
Xiaoheng Jiang
Qi-dong Liu
Pichao Wang
Mingliang Xu
Wanqing Li
ViT
49
27
0
06 Oct 2022
A Variational Graph Autoencoder for Manipulation Action Recognition and Prediction
Gamze Akyol
Sanem Sariel
E. Aksoy
GNN
DRL
BDL
35
2
0
25 Oct 2021
Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs
Abduallah A. Mohamed
Huancheng Chen
Zhangyang Wang
Christian G. Claudel
3DH
33
3
0
21 Sep 2021
Skeleton-Contrastive 3D Action Representation Learning
Fida Mohammad Thoker
Hazel Doughty
Cees G. M. Snoek
SSL
27
130
0
08 Aug 2021
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
Yuxin Chen
Ziqi Zhang
Chunfen Yuan
Bing Li
Ying Deng
Weiming Hu
45
563
0
26 Jul 2021
Skeleton-based Action Recognition Using LSTM and CNN
Chuankun Li
Pichao Wang
Shuang Wang
Yonghong Hou
W. Li
HAI
47
173
0
06 Jul 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
1