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 …
Explore human parsing modality for action recognition
Multimodal‐based action recognition methods have achieved high success using pose and
RGB modality. However, skeletons sequences lack appearance depiction and RGB images …
RGB modality. However, skeletons sequences lack appearance depiction and RGB images …
SCGRFuse: An infrared and visible image fusion network based on spatial/channel attention mechanism and gradient aggregation residual dense blocks
Y Wang, J Pu, D Miao, L Zhang, L Zhang… - Engineering Applications of …, 2024 - Elsevier
The goal of image fusion is to retain the strengths of different images in the fused result.
However, existing fusion algorithms are often complex in design and overlook the influence …
However, existing fusion algorithms are often complex in design and overlook the influence …
Facial micro-expression recognition using three-stream vision transformer network with sparse sampling and relabeling
H Zhang, L Yin, H Zhang, X Wu - Signal, Image and Video Processing, 2024 - Springer
Most existing micro-expression recognition (MER) methods are based on convolutional
neural networks (CNN) and could obtain better representations than conventional …
neural networks (CNN) and could obtain better representations than conventional …
Merge-and-Split Graph Convolutional Network for Skeleton-Based Interaction Recognition
We introduce an innovative approach to address a significant challenge in interaction
recognition, specifically the capture of correlation features between different interaction body …
recognition, specifically the capture of correlation features between different interaction body …
ICFNet: Interactive-complementary fusion network for monocular 3D human pose estimation
Y Wang, P Liu, H Kang, D Wu, D Miao - Neurocomputing, 2025 - Elsevier
Most existing methods for 3D human pose estimation from monocular images focus on
learning the spatial correlation of either the global or local joints of the human body but fail to …
learning the spatial correlation of either the global or local joints of the human body but fail to …
Learning mutual excitation for hand-to-hand and human-to-human interaction recognition
Recognizing interactive actions, including hand-to-hand interaction and human-to-human
interaction, has attracted increasing attention for various applications in the field of video …
interaction, has attracted increasing attention for various applications in the field of video …
Face-Inception-Net for Recognition
Q Zhang, X Wang, M Zhang, L Lu, P Lv - Electronics, 2024 - mdpi.com
Face recognition in general scenarios has been saturated in recent years, but there is still
room to enhance model performance in extreme scenarios and fairness situations. Inspired …
room to enhance model performance in extreme scenarios and fairness situations. Inspired …
Fusion of Temporal Transformer and Spatial Graph Convolutional Network for 3-D Skeleton-Parts-Based Human Motion Prediction
The field of human motion prediction has gained prominence, finding applications in various
domains such as intelligent surveillance and human–robot interaction. However, predicting …
domains such as intelligent surveillance and human–robot interaction. However, predicting …
Multi-Modal Enhancement Transformer Network for Skeleton-Based Human Interaction Recognition
Q Hu, H Liu - Biomimetics, 2024 - mdpi.com
Skeleton-based human interaction recognition is a challenging task in the field of vision and
image processing. Graph Convolutional Networks (GCNs) achieved remarkable …
image processing. Graph Convolutional Networks (GCNs) achieved remarkable …