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Min Ju Kim

2 accepted papers

2024

Occluded Part-aware Graph Convolutional Networks for Skeleton-based Action Recognition

ICRA 2024poster

Recognizing human action is one of the most critical factors in the visual perception of robots. Specifically, skeletonbased action recognition has been actively researched to enhance recognition performance at a lower cost. However, action recognition in occlusion situations, where body parts are n…

Cited by 4SourcecodeScholar
2023

Fluxformer: Flow-Guided Duplex Attention Transformer via Spatio-Temporal Clustering for Action Recognition

RA-L 2023

Vision transformers have demonstrated impressive performance in various robotics and automation applications, such as classification automation and action recognition. However, the drawback of transformers is their quadratic increase in computing resources with larger inputs and dependence on consid

Cited by 10SourceScholar