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Fusing Higher-order Features in Graph Neural Networks for Skeleton-based
  Action Recognition

Fusing Higher-order Features in Graph Neural Networks for Skeleton-based Action Recognition

4 May 2021
Zhenyue Qin
Yang Liu
Pan Ji
Dongwoo Kim
Lei Wang
Bob McKay
Saeed Anwar
Tom Gedeon
    3DPC
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Papers citing "Fusing Higher-order Features in Graph Neural Networks for Skeleton-based Action Recognition"

4 / 4 papers shown
Title
TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient
  Skeleton-Based Action Recognition with Long-term Learning Potential
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
Skeleton-based Action Recognition via Temporal-Channel Aggregation
Skeleton-based Action Recognition via Temporal-Channel Aggregation
Shengqin Wang
Yongji Zhang
M. Zhao
Hong Qi
Kai Wang
Fenglin Wei
Yu Jiang
20
22
0
31 May 2022
Invertible Denoising Network: A Light Solution for Real Noise Removal
Invertible Denoising Network: A Light Solution for Real Noise Removal
Yang Liu
Zhenyue Qin
Saeed Anwar
Pan Ji
Dongwoo Kim
Sabrina Caldwell
Tom Gedeon
64
142
0
21 Apr 2021
Tensor Representations for Action Recognition
Tensor Representations for Action Recognition
Piotr Koniusz
Lei Wang
A. Cherian
29
68
0
28 Dec 2020
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