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Found 3 papers, 2 papers with code
Skeleton-based Relational Reasoning for Group Activity Analysis
In this paper, we leverage the skeleton information to learn the interactions between the individuals straight from it.
Interaction Relational Network for Mutual Action Recognition
Our solution is able to achieve state-of-the-art performance on the traditional interaction recognition datasets SBU and UT, and also on the mutual actions from the large-scale dataset NTU RGB+D.
Ranked #1 on
Human Interaction Recognition
on UT-Interaction
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition.
Ranked #5 on
One-Shot 3D Action Recognition
on NTU RGB+D 120
