Learning Spatial Context with Graph Neural Network for Multi-Person Pose Grouping
J Jiahao Lin Gim Hee Lee J Jiahao Lin Gim Hee Lee
Bottom-up approaches for image-based multi-person pose estimation consist of two stages: (1) keypoint detection and (2) grouping of the detected keypoints to form person instances. Current grouping approaches rely on learned embedding from only visual features that completely ignore the spatial configuration of human poses. In this work, we formulate the grouping task as a graph partitioning probl...