TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient Skeleton-Based Action Recognition with Long-term Learning Potential

23 April 2023

Papers citing "TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient Skeleton-Based Action Recognition with Long-term Learning Potential"

8 / 8 papers shown

Title
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition Yuhang Wen Mengyuan Liu Songtao Wu Beichen Ding 33 0 0 31 Dec 2024
Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition Jinfu Liu C. L. P. Chen Mengyuan Liu 37 11 0 22 Jul 2024
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 276 1,490 0 27 Feb 2021
Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition Yisheng Song Zhang Zhang Caifeng Shan Liang Wang 117 230 0 20 Oct 2020
Temporal Extension Module for Skeleton-Based Action Recognition Yuya Obinata Takuma Yamamoto 14 32 0 19 Mar 2020
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 170 3,480 0 20 Aug 2019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 236 35,884 0 25 Aug 2016