Name
Abstract | ||
|---|---|---|
Skeleton-based human action recognition has drawn considerable research interest since it can robustly accommodate dynamic circumstances and complex backgrounds. By modeling the human body skeletons as graph structure, graph convolution network (GCN) has achieved great success in this field. However, these methods based on GCN are difficult to capture global features and relations only through a s... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IJCNN52387.2021.9534031 | 2021 International Joint Conference on Neural Networks (IJCNN) |
Keywords | DocType | ISSN |
Adaptation models,Convolution,Network topology,Fuses,Biological system modeling,Neural networks,Feature extraction | Conference | 2161-4393 |
ISBN | Citations | PageRank |
978-1-6654-3900-8 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| X. G. Wang | 1 | 46 | 9.60 |
| Dewei Li | 2 | 120 | 22.27 |
| Shuai Jia | 3 | 26 | 5.14 |