Zuriahati Mohd Yunos

About

Dr. Zuriahati Mohd Yunos is a leading researcher in artificial intelligence and computer vision, with a primary focus on human–object interaction (HOI) detection. Her most-cited work, the "Interactivity Recognition Graph Neural Network (IR-GNN) Model for Improving Human–Object Interaction Detection" (2023), addresses a critical challenge in the field: the high percentage of invalid human–object pairs identified during object detection. By developing a graph neural network framework that refines interactivity recognition, Dr. Yunos has significantly advanced the accuracy of HOI systems, which are pivotal for applications in human–computer interactions, service robotics, and video security surveillance. Her contributions have garnered 4 citations, reflecting early recognition of their potential. Beyond this landmark paper, Dr. Yunos’s research continues to push boundaries in understanding complex visual relationships, making her work essential for students and researchers seeking to improve autonomous systems’ ability to interpret human actions and environments. Her innovative approach to graph-based modeling positions her as a rising voice in AI-driven interaction analysis.

Research Focus

Key Achievements

Top Papers

1. 1
   Interactivity Recognition Graph Neural Network (IR-GNN) Model for Improving Human–Object Interaction Detection

   4 citations · 2023

Key Collaborators

Contact & Links