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Found 3 papers, 3 papers with code
Learning Group Activity Features Through Person Attribute Prediction
Unlike prior work in which the manual annotation of group activities is required for supervised learning, our method learns the GAF through person attribute prediction without group activity annotations.
Interaction-aware Joint Attention Estimation Using People Attributes
We introduce a specialized MLP head with positional embedding to the Transformer so that it predicts pixelwise confidence of joint attention for generating the confidence heatmap.
Group Activity Recognition Using Joint Learning of Individual Action Recognition and People Grouping
This paper proposes joint learning of individual action recognition and people grouping for improving group activity recognition.
Ranked #5 on
Group Activity Recognition
on Volleyball
