Richly Activated Graph Convolutional Network for Robust Skeleton-based
Action Recognition

Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition

9 August 2020

Liang Wang

Papers citing "Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition"

9 / 9 papers shown

Title
MoFM: A Large-Scale Human Motion Foundation Model Mohammadreza Baharani Ghazal Alinezhad Noghre Armin Danesh Pazho Gabriel Maldonado Hamed Tabkhi AI4CE 49 0 0 08 Feb 2025
D-STGCNT: A Dense Spatio-Temporal Graph Conv-GRU Network based on transformer for assessment of patient physical rehabilitation Youssef Mourchid Rim Slama MedIm 16 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 22 7 0 23 Apr 2023
AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression Yabo Xiao Xiaojuan Wang Dongdong Yu Kai Su Lei Jin Mei Song Shuicheng Yan Jian-jun Zhao 3DH 8 5 0 08 Oct 2022
Two-person Graph Convolutional Network for Skeleton-based Human Interaction Recognition Zheng Li Yueran Li Linlin Tang Tong Zhang Jingyong Su GNN 3DH 22 16 0 12 Aug 2022
PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition Neel Trivedi Ravi Kiran Sarvadevabhatla ViT 16 27 0 11 Aug 2022
Skeleton-based Action Recognition via Temporal-Channel Aggregation Shengqin Wang Yongji Zhang M. Zhao Hong Qi Kai Wang Fenglin Wei Yu Jiang 14 22 0 31 May 2022
Delving Deep into One-Shot Skeleton-based Action Recognition with Diverse Occlusions Kunyu Peng Alina Roitberg Kailun Yang Jiaming Zhang Rainer Stiefelhagen ViT 13 27 0 23 Feb 2022
Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition Konstantinos Papadopoulos Enjie Ghorbel Djamila Aouada Björn E. Ottersten GNN 85 42 0 20 Dec 2019