Yaojie Liu

Yaojie Liu

PhD Student @ Michigan State University

About Me

Hi! I'm a third-year Ph.D student at the Department of Computer Science and Engineering, Michigan State University. I was a member of Computational Biology and Cognitive Science Lab (CBCSL), and I'm a current member of Computer Vision Lab (CVLAB), advised by Dr. Xiaoming Liu.

I am broadly interested in computer vision, machine learning and problems related to high-level vision understanding. My current research area is face representation & analysis, including face anti-spoofing, 2D/3D large pose face alignment, and 3D face reconstruction.

Latest Projects


Face De-Spoofing: Anti-Spoofing via Noise Modeling

Yaojie Liu, Amin Jourabloo, and Xiaoming Liu

European Conference on Computer Vision (ECCV 2018), Munich, Germany, 2018.

Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision

Yaojie Liu, Amin Jourabloo, and Xiaoming Liu

Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, USA, 2018 (Acceptance Rate: 29%)

Dense Face Alignment

Yaojie Liu, Amin Jourabloo, William Ren, and Xiaoming Liu

International Conference on Computer Vision (ICCV 2017) Workshops, Venice, Italy, 2017

Face Anti-Spoofing Using Patch and Depth-Based CNNs

Yaojie Liu, Yousef Atoum, Amin Jourabloo, and Xiaoming Liu

International Joint Conference on Biometrics (IJCB 2017), Denver, Colorado, 2017

Fast and Precise Face Alignment and 3D Shape Reconstruction from a Single 2D Image

Ruiqi Zhao, Yan Wang, C. Fabian Benitez-Quiroz, Yaojie Liu, Aleix M. Martinez

European Conference on Computer Vision Workshop (ECCV-W 2016), Amsterdam, 2016

Inpainting: Survey and Experiments

Chang Shu, Yaojie Liu

International Journal of Signal Processing, Image Processing and Pattern Recognition, 2016

A Comparison of Image Inpainting Techniques

Yaojie Liu, Chang Shu

Sixth International Conference on Graphic and Image Processing (ICGIP 2014), Beijing, 2014

Dynamic Gesture Localization and Recognition Algorithm Based on Skeletonization

Yaojie Liu, Chang Shu, and Zhizhong Fu

Electronic Science and Technology, 2014