- Video behavior recognition based on actional|structural graph ...🔍
- A Graph Learning Based Multi|Modal Video Action Recognition🔍
- Video action detection by learning graph|based spatio|temporal ...🔍
- Actional|Structural Graph Convolutional Networks for Skeleton ...🔍
- Automatic Human Action Recognition in Videos by Graph Embedding🔍
- Learning joints relation graphs for video action recognition🔍
- Action Recognition🔍
- Structured Graph Module for Video Action Recognition🔍
Video behavior recognition based on actional|structural graph ...
Video behavior recognition based on actional-structural graph ...
STGCN-AS is utilized to get rich spatial features by capturing the correlations of distant joint features, and the existing skeleton graphs are extended to ...
Video behavior recognition based on actional-structural graph ...
... video behavior recognition method based on Actional-Structural Graph Convolution and a Temporal Extension Module under the framework of a Spatio-Temporal Graph ...
(PDF) Video behavior recognition based on actional-structural graph ...
PDF | Human behavior recognition has always been a hot spot for research in computer vision. In this paper, we propose a novel video ...
Video behavior recognition based on actional-structural graph ...
A novel video behavior recognition method based on Actional-Structural graph Convolution and a Temporal Extension Module under the framework of a ...
A Graph Learning Based Multi-Modal Video Action Recognition
In this work, a graph learning based multi-modal framework is proposed with application to action recognition. Specifically, a two-stream heterogeneous network ...
Video action detection by learning graph-based spatio-temporal ...
Graph-based representations have been used in action recognition (Brendel and Todor-. Page 3. 3 ovic, 2011; Jain et al., 2016; Wang and Gupta, 2018; Zhang et al ...
Actional-Structural Graph Convolutional Networks for Skeleton ...
Human action recognition, broadly applicable to video ... structural links for action recognition ... In this work, we adopt the graph-based approach for action ...
Automatic Human Action Recognition in Videos by Graph Embedding
The problem of human action recognition has received increasing attention in recent years for its importance in many applications. Yet, the main limitation ...
Learning joints relation graphs for video action recognition - Frontiers
P-CNN (Chéron et al., 2015) clips the body joints in the video frame based on human pose estimation and extracts the spatial and temporal features of each body ...
Action Recognition | Papers With Code
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition ... Furthermore, based on the temporal segment networks, we won the video ...
Structured Graph Module for Video Action Recognition - arXiv
Abstract—In the field of action recognition, video clips are always arranged as ordered frame sequences. Therefore, previous.
Feature reconstruction graph convolutional network for skeleton ...
To tackle the above issues, we propose a novel feature reconstruction graph convolutional network (FR-GCN) for skeleton-based action recognition. The proposed ...
[PDF] Actional-Structural Graph Convolutional Networks for Skeleton ...
Hypergraph Neural Network for Skeleton-Based Action Recognition · Computer Science. IEEE Transactions on Image Processing · 2021.
Enhancing human behavior recognition with spatiotemporal graph ...
This study aims to enhance supervised human activity recognition based on spatiotemporal graph convolutional neural networks by addressing ...
Learning Graph Convolutional Network for Skeleton-Based Human ...
2016) is currently the most widely used and the largest multi-modality indoor-captured action recognition dataset. There are RGB videos, depth se- quences, ...
Actional-Structural Graph Convolutional Networks for Skeleton ...
Action recognition with skeleton data has recently attracted much attention in computer vision. Previous studies are mostly based on fixed skeleton graphs, ...
Skeleton-based action recognition with local dynamic spatial ...
Strategies to release the potential of spatial–temporal graph attention networks. •. Much progress on classifying similar action pairs. Abstract.
Spatial-temporal graph neural ODE networks for skeleton-based ...
Compared with conventional RGB video recognition approaches, action recognition based on skeleton data demonstrates reduced sensitivity to ...
Overview of behavior recognition based on deep learning
... Actional–structural graph convolutional networks for skeleton-based action recognition. Proceedings of the ieee/cvf conference on computer vision and ...
HD-GCN (ICCV2023): Skeleton-Based Action Recognition - YouTube
In this video I review the paper "Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition" which is ...