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Graph convolutional neural network for human action recognition: A comprehensive survey
Video-based human action recognition is one of the most important and challenging areas
of research in the field of computer vision. Human action recognition has found many …
of research in the field of computer vision. Human action recognition has found many …
A survey on 3d skeleton-based action recognition using learning method
Three-dimensional skeleton-based action recognition (3D SAR) has gained important
attention within the computer vision community, owing to the inherent advantages offered by …
attention within the computer vision community, owing to the inherent advantages offered by …
Constructing stronger and faster baselines for skeleton-based action recognition
One essential problem in skeleton-based action recognition is how to extract discriminative
features over all skeleton joints. However, the complexity of the recent State-Of-The-Art …
features over all skeleton joints. However, the complexity of the recent State-Of-The-Art …
Stronger, faster and more explainable: A graph convolutional baseline for skeleton-based action recognition
One essential problem in skeleton-based action recognition is how to extract discriminative
features over all skeleton joints. However, the complexity of the State-Of-The-Art (SOTA) …
features over all skeleton joints. However, the complexity of the State-Of-The-Art (SOTA) …
Richly activated graph convolutional network for robust skeleton-based action recognition
Current methods for skeleton-based human action recognition usually work with complete
skeletons. However, in real scenarios, it is inevitable to capture incomplete or noisy …
skeletons. However, in real scenarios, it is inevitable to capture incomplete or noisy …
[HTML][HTML] Graph transformer network with temporal kernel attention for skeleton-based action recognition
Skeleton-based human action recognition has caused wide concern, as skeleton data can
robustly adapt to dynamic circumstances such as camera view changes and background …
robustly adapt to dynamic circumstances such as camera view changes and background …
Symbiotic graph neural networks for 3d skeleton-based human action recognition and motion prediction
3D skeleton-based action recognition and motion prediction are two essential problems of
human activity understanding. In many previous works: 1) they studied two tasks separately …
human activity understanding. In many previous works: 1) they studied two tasks separately …
Action recognition based on RGB and skeleton data sets: A survey
Action recognition is a major branch of computer vision research. As a widely used
technology, action recognition has been applied to human–computer interaction, intelligent …
technology, action recognition has been applied to human–computer interaction, intelligent …
Hypergraph neural network for skeleton-based action recognition
Recently, skeleton-based human action recognition has attracted a lot of research attention
in the field of computer vision. Graph convolutional networks (GCNs), which model the …
in the field of computer vision. Graph convolutional networks (GCNs), which model the …
Skeleton graph-neural-network-based human action recognition: A survey
M Feng, J Meunier - Sensors, 2022 - mdpi.com
Human action recognition has been applied in many fields, such as video surveillance and
human computer interaction, where it helps to improve performance. Numerous reviews of …
human computer interaction, where it helps to improve performance. Numerous reviews of …