Name:Li Shujie

Professional Title:Lecture

Situation of Tutors:Supervisor of Master's Candidates

School/Department:School of Software

Personal Profile:

Li Shujie received the B.Sc. degree in information and computing science, Hefei University of Technology, China, in 2004, the M.SC. degree in computer science from Hefei University of Technology, Hefei,China, in 2008, and the Ph.D. degree in pattern recognition and intelligence system from University of Science and Technology of China, Hefei, China, in 2012. She is currently a lecturer at the School of Computer and Information, Hefei University of Technology, China. Her research interests include human motion analysis  and pattern recognition.

Research Directions and Achievements:

Human pose estimation with deep learning involves estimating the configuration of human body parts from input images or videos, which has been extensively studied in computer vision literature. I engaged in this research direction since 2017. Achievements in this field include papers, patterns and software copyright.

[1]Shujie Li; Lei Wang; Wei Jia; Yang Zhao; Liping Zheng ; An iterative solution for improving the generalization ability of unsupervised skeleton motion retargeting, Computers & Graphics, 2022, 2022(104): 129-139

[2]Li S, Zhu H, Zheng L, et al. A Perceptual-Based Noise-Agnostic 3D Skeleton Motion Data Refinement Network[J]. IEEE Access, 2020, 2020(8): 52927-52940.

[3]Shujie Li ; Yang Zhou; Haishen Zhu; Wenjun Xie; Yang Zhao; Xiaoping Liu. Bidirectional Recurrent Autoencoder for 3D Skeleton Motion Data Refinement, Computers & Graphics, 2019(81), 92–103