most citedDeep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition

9 citations · 9 across the 1 of their papers we have counts for

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1 paper

cs.LG2024★ 9 cited

Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition

Wen Ge, Guanyi Mou, Emmanuel O. Agu +1

Human Activity Recognition (HAR) is a challenging, multi-label classification problem as activities may co-occur and sensor signals corresponding to the same activity may vary in d…