PartialVisGraph is a hypergraph framework with learnable virtual hyperedges and a sample-adaptive transformer incorporating visibility prior, achieving reported SOTA gains up to 68.8% under simulated partial FoV on NTU RGB+D datasets.
In: Proceedings of the IEEE conference on computer vision and pattern recognition
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Partial Skeleton Visibility for Action Recognition: A Constrained Field-of-View Approach
PartialVisGraph is a hypergraph framework with learnable virtual hyperedges and a sample-adaptive transformer incorporating visibility prior, achieving reported SOTA gains up to 68.8% under simulated partial FoV on NTU RGB+D datasets.