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cs.CV2025
Towards Open-World Human Action Segmentation Using Graph Convolutional Networks
Hao Xing, Kai Zhe Boey, Gordon Cheng
Human-object interaction segmentation is a fundamental task of daily activity understanding, which plays a crucial role in applications such as assistive robotics, healthcare, and…
cs.CV2025
Multi-Modal Graph Convolutional Network with Sinusoidal Encoding for Robust Human Action Segmentation
Hao Xing, Kai Zhe Boey, Yuankai Wu +2
Accurate temporal segmentation of human actions is critical for intelligent robots in collaborative settings, where a precise understanding of sub-activity labels and their tempora…