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 …
Transformer for skeleton-based action recognition: A review of recent advances
Skeleton-based action recognition has rapidly become one of the most popular and
essential research topics in computer vision. The task is to analyze the characteristics of …
essential research topics in computer vision. The task is to analyze the characteristics of …
Mhformer: Multi-hypothesis transformer for 3d human pose estimation
Estimating 3D human poses from monocular videos is a challenging task due to depth
ambiguity and self-occlusion. Most existing works attempt to solve both issues by exploiting …
ambiguity and self-occlusion. Most existing works attempt to solve both issues by exploiting …
Mixste: Seq2seq mixed spatio-temporal encoder for 3d human pose estimation in video
Recent transformer-based solutions have been introduced to estimate 3D human pose from
2D keypoint sequence by considering body joints among all frames globally to learn spatio …
2D keypoint sequence by considering body joints among all frames globally to learn spatio …
Learning discriminative representations for skeleton based action recognition
Human action recognition aims at classifying the category of human action from a segment
of a video. Recently, people have dived into designing GCN-based models to extract …
of a video. Recently, people have dived into designing GCN-based models to extract …
Star-transformer: a spatio-temporal cross attention transformer for human action recognition
In action recognition, although the combination of spatio-temporal videos and skeleton
features can improve the recognition performance, a separate model and balancing feature …
features can improve the recognition performance, a separate model and balancing feature …
P-stmo: Pre-trained spatial temporal many-to-one model for 3d human pose estimation
This paper introduces a novel Pre-trained Spatial Temporal Many-to-One (P-STMO) model
for 2D-to-3D human pose estimation task. To reduce the difficulty of capturing spatial and …
for 2D-to-3D human pose estimation task. To reduce the difficulty of capturing spatial and …
Gfpose: Learning 3d human pose prior with gradient fields
Learning 3D human pose prior is essential to human-centered AI. Here, we present GFPose,
a versatile framework to model plausible 3D human poses for various applications. At the …
a versatile framework to model plausible 3D human poses for various applications. At the …
Humansd: A native skeleton-guided diffusion model for human image generation
Controllable human image generation (HIG) has attracted significant attention from
academia and industry for its numerous real-life applications. State-of-the-art solutions, such …
academia and industry for its numerous real-life applications. State-of-the-art solutions, such …
Gla-gcn: Global-local adaptive graph convolutional network for 3d human pose estimation from monocular video
Abstract 3D human pose estimation has been researched for decades with promising fruits.
3D human pose lifting is one of the promising research directions toward the task where …
3D human pose lifting is one of the promising research directions toward the task where …