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Decoupled Representation Learning for Skeleton-Based Gesture Recognition
Skeletal Graph Based Human Pose Estimation in Real-Time
Efficient Skeleton-Based Action Recognition via Joint-Mapping strategies
Real-Time Skeleton Detection Demo with VisionPose and Depth Sensor Camera
SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild
ST-GCN for Skeleton-Based Action Recognition
Context Aware Graph Convolution for Skeleton-Based Action Recognition
Hand and Body Tracking with Ordinary Cameras
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Last Updated: September 28, 2026
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Summary
COMPUTER GRAPHICS INTERNATIONAL 2021. See project page hhoppe.com/proj/dance/ Video accompanying the technical paper: Michalis Raptis, Darko Kirovski, ... ST-GCN is the first GCN-based method for the task of CGI2020_Session HUMAN COMPUTER INTERACTION / Two-Stream Authors: Jianbo Liu, Yongcheng Liu, Ying Wang, Véronique Prinet, Shiming Xiang, Chunhong Pan Description: This is the supplemental video (won the Best Supplemental Material Award) of the publication: Matthias Straka, Stefan ... Authors: Kang, Min-Seok*; Kang, Dongoh; kim, hansaem Description: Graph convolutional networks (GCNs) have brought ... This video is a demonstration of the results of the human-robot interaction experiments of the paper MSR-Net. For a detailed ... System recognizes different types of Here is an example of a multi-layer feed-forward ANN that has been trained on all 26 letters of the English alphabet. Spaces are ... Full title: SHREC 2021: Track on Authors: Xikun Zhang, Chang Xu, Dacheng Tao Description: Graph convolutional models have gained impressive successes on ...
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