Name: Xie Wenjun 

Professional Title:Experimentalist

Situation of Tutors:Supervisor of Master's Candidates

School/Department:School/Department: School of Software

Personal Profile:

His main research interests are motion data acquisition and analysis, character animation synthesis. In recent years, he has led 1 sub-project of the National Key R&D Program, participated in 1 National Key R&D Program project, 1 Anhui Provincial Key R&D Project, 2 National Natural Science Foundation of China (General Project), and 1 Regional Fund as a key member. Approved 1 industry-university cooperation and collaborative education project of the Ministry of Education.

He has instructed students to win many national and provincial competition awards such as China International College Students' 'Internet+' Innovation and Entrepreneurship Competition, Computer Design Contest for College Students, CCF CCSP, etc. He has achieved the first prize and the third prize of the Anhui Provincial Teaching Achievement Award, and the first prize of the Tibet Autonomous Region Science and Technology Award.

Research Directions and Achievements:

[1] Audio2AB: Audio-Driven Collaborative Generation of Virtual Character Animation. COMPUTER GRAPHICS INTERNATIONAL 2023.

[2] Multimodal Human Motion Synchronization Dataset. Journal of Computer-Aided Design & Computer Graphics, 2022.

[3] Adaptive data augmentation network for human pose estimation, Digital Signal Processing,2022.

[4] A Fast and Effective Transformer for Human Pose Estimation. IEEE Signal Processing Letters, 2022.

[5] Convolutional Neural Networks Based Motion Data Optimization Networks for Leap Motion. Journal of Computer-Aided Design & Computer Graphics,2021.

“A human pose estimation method based on multi-dimensional spatial interaction（一种基于多维空间交互的人体姿态估计方法）”, published，202310201240.

" A human pose estimation method enhanced by adaptive data（一种运用适应性数据增强的人体姿态估计方法）", granted，CN113361378B. 2023.

" A system and method for constructing multimodal motion of virtual characters（一种构建虚拟人物多模态运动的系统及方法）", granted，CN113192163B. 2023.