Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification

19 Apr 2014 Jie Shen Guangcan Liu Jia Chen Yuqiang Fang Jianbin Xie Yong Yu Shuicheng Yan

In this paper, we utilize structured learning to simultaneously address two intertwined problems: human pose estimation (HPE) and garment attribute classification (GAC), which are valuable for a variety of computer vision and multimedia applications. Unlike previous works that usually handle the two problems separately, our approach aims to produce a jointly optimal estimation for both HPE and GAC via a unified inference procedure... (read more)

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