Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition

26 November 2020

Papers citing "Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition"

9 / 9 papers shown

Title
D-STGCNT: A Dense Spatio-Temporal Graph Conv-GRU Network based on transformer for assessment of patient physical rehabilitation Youssef Mourchid Rim Slama MedIm 19 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
A Variational Graph Autoencoder for Manipulation Action Recognition and Prediction Gamze Akyol Sanem Sariel E. Aksoy GNN DRL BDL 19 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 22 3 0 21 Sep 2021
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition Yuxin Chen Ziqi Zhang Chunfen Yuan Bing Li Ying Deng Weiming Hu 37 544 0 26 Jul 2021
Skeleton-based Action Recognition Using LSTM and CNN Chuankun Li Pichao Wang Shuang Wang Yonghong Hou W. Li HAI 26 162 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 231 1,801 0 25 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016