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Moving type recognition based on Graph Convolution Network MS-G3D
Дмитрий Цыкунов
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Skeleton based Action recognition using Graph convolution neural networks
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Spatial-Temporal Graph Convolution Networks for skeleton-based Action Recognition
DeepLearning USC
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Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
ComputerVisionFoundation Videos
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GeometryMotion-Net: A Strong Two-stream Baseline for 3D Action Recognition
IEEE Trans on Circuits & System for Video Tech
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Learning GNSS Positioning Corrections for Smartphones using Graph Convolution Neural Networks
Stanford Navigation and Autonomous Vehicles Lab
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