Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks

27 September 2021

Papers citing "Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks"

5 / 5 papers shown

Title
MuJo: Multimodal Joint Feature Space Learning for Human Activity Recognition Stefan Gerd Fritsch Cennet Oğuz Vitor Fortes Rey L. Ray Maximilian Kiefer-Emmanouilidis P. Lukowicz HAI 35 0 0 06 Jun 2024
Component attention network for multimodal dance improvisation recognition Jia Fu Jiarui Tan Wenjie Yin Sepideh Pashami Mårten Björkman 3DPC 10 1 0 24 Aug 2023
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
Gimme Signals: Discriminative signal encoding for multimodal activity recognition Raphael Memmesheimer Nick Theisen Dietrich Paulus 41 50 0 13 Mar 2020
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