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

9 citations · 9 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2025

Semantically Encoding Activity Labels for Context-Aware Human Activity Recognition

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

Prior work has primarily formulated CA-HAR as a multi-label classification problem, where model inputs are time-series sensor data and target labels are binary encodings representi…

cs.CV2024

Contrastive Learning with Auxiliary User Detection for Identifying Activities

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

Human Activity Recognition (HAR) is essential in ubiquitous computing, with far-reaching real-world applications. While recent SOTA HAR research has demonstrated impressive perform…

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…