I graduated in 2017 as a master student in Dept. of Computer Science, University of Kentucky. My advisor is Ruigang Yang. My research interest is computer vision, graphics and deep learning. After I graduated from University of Kentucky, I worked for Pinscreen as a software engineer and participated in many projects relating to both research and products.

 

I got my Bachelor Degree from Xi'an Jiao Tong University in 2011, majoring in Computer Science (CS).

 

Here is my resume.

Contact:

Email: qingguo.xu88@gmail.com

 

 

Projects

deepfake Deepfake and WebRTC tasks(Web)
3D_Body 3D Body Tracking using Deep Learning(Web, PPT, Code)
maskoff Mask-off: Synthesizing Face Images in the Presence of Head-mounted Displays(Web)
eCROPS Mobile App (eCROPS) development for research use(Web)
SaveMe iOS app - SaveME( Web)
littlehelper Littlehelper: Using Google Glass to Assist Individuals with Autism in Job Interviews(Web)
KTDID Kentucky Transportation Designs in Drainage (KTDID)(Web)
JTK Personalized circadian monitoring program using Jonckheere-Terpstra-Kendall (JTK) algorithm(Web)
WoSAR An Advanced Methodology for Measuring and Characterizing Software Aging using Hodrick-Prescott (HP) filter(Web)

Publications

Normalized_3D_Avatar_Synthesis Huiwen Luo, Koki Nagano, Han-wei Kung, Qingguo Xu, Zejian Wang, Lingyu Wei, Liwen Hu, and Hao Li Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement. 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). (PDF)
maskoff Yajie Zhao, Qingguo Xu, Weikai Chen, Chao Du, Jun Xing, Xinyu Huang,and Ruigang Yang Mask-off: Synthesizing Face Images in the Presence of Head-mounted Displays. 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). (PDF)
littlehelper Qingguo Xu,Sen-ching Samson Cheung and Neelkamal Soares.  Littlehelper: An Augmented Reality Glass Application to Assist Individuals with Autism in Job Interview. In Asia Pacific Signal and Information Processing Association (APSIPA), 2015. (PDF)
WoSAR Pengfei Zheng, Qingguo Xu and Yong Qi.  An Advanced Methodology for Measuring and Characterizing Software Aging. In International Workshop on Software Aging and Rejuvenation (WoSAR), 2012. (PDF)

 


6/18/2017, 12:40:24 PM