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Found 2 papers, 1 papers with code
Learning Constrained Dynamic Correlations in Spatiotemporal Graphs for Motion Prediction
The key of DSTD-GC is constrained dynamic correlation modeling, which explicitly parameterizes the common static constraints as a spatial/temporal vanilla adjacency matrix shared by all frames/joints and dynamically extracts correspondence variances for each frame/joint with an adjustment modeling function.
DWnet: Deep-Wide Network for 3D Action Recognition
We propose in this paper a deep-wide network (DWnet) which combines the deep structure with the broad learning system (BLS) to recognize actions.
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