Jiangnan Liu

Learning Topology-Aware Dynamic Associations for Robust Multi-Person Pose Estimation

Multi-person pose estimation in real-world scenarios remains a challenging task due to frequent occlusions, scale variations, and complex human interactions. Existing methods often rely on fixed keypoint association patterns that fail to capture the dynamic and context-dependent nature of human body