no code implementations • 19 Oct 2023 • Lijuan Zhou, Xiang Meng, Zhihuan Liu, Mengqi Wu, Zhimin Gao, Pichao Wang
This paper presents a comprehensive survey of pose-based applications utilizing deep learning, encompassing pose estimation, pose tracking, and action recognition. Pose estimation involves the determination of human joint positions from images or image sequences.
no code implementations • 1 Apr 2016 • Lijuan Zhou, Wanqing Li, Philip Ogunbona
This paper presents a novel method for learning a pose lexicon comprising semantic poses defined by textual instructions and their associated visual poses defined by visual features.