Y
Yajie Zhao
Researcher at Wenzhou Medical College
Publications - 38
Citations - 731
Yajie Zhao is an academic researcher from Wenzhou Medical College. The author has contributed to research in topics: Rendering (computer graphics) & Computer science. The author has an hindex of 11, co-authored 31 publications receiving 410 citations. Previous affiliations of Yajie Zhao include Institute for Creative Technologies & University of Kentucky.
Papers
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Journal ArticleDOI
High-fidelity facial reflectance and geometry inference from an unconstrained image
Shugo Yamaguchi,Shunsuke Saito,Koki Nagano,Yajie Zhao,Weikai Chen,Kyle Olszewski,Shigeo Morishima,Hao Li +7 more
TL;DR: A deep learning-based technique to infer high-quality facial reflectance and geometry given a single unconstrained image of the subject, which may contain partial occlusions and arbitrary illumination conditions, and demonstrates the rendering of high-fidelity 3D avatars from a variety of subjects captured under different lighting conditions.
Book ChapterDOI
Deep Volumetric Video From Very Sparse Multi-view Performance Capture
Zeng Huang,Tianye Li,Weikai Chen,Yajie Zhao,Jun Xing,Chloe LeGendre,Linjie Luo,Chongyang Ma,Hao Li +8 more
TL;DR: This work focuses on the task of template-free, per-frame 3D surface reconstruction from as few as three RGB sensors, for which conventional visual hull or multi-view stereo methods fail to generate plausible results.
Journal ArticleDOI
An Outbreak of Carbapenem-Resistant and Hypervirulent Klebsiella pneumoniae in an Intensive Care Unit of a Major Teaching Hospital in Wenzhou, China
Yajie Zhao,Xiucai Zhang,Von Vergel L. Torres,Haiyang Liu,Andrea Rocker,Yizhi Zhang,Jiawei Wang,Lijiang Chen,Wenzi Bi,Jie Lin,Richard A. Strugnell,Siqin Zhang,Trevor Lithgow,Tieli Zhou,Jianming Cao +14 more
TL;DR: Infection assays demonstrated high mortality in the Galleria mellonella model with the highest LD50 values for three isolates (<105 CFU/mL) demonstrating the degree of hypervirulence of these CR-hvKP isolates, and is discussed relative to previous outbreaks.
Proceedings ArticleDOI
Learning Formation of Physically-Based Face Attributes
Ruilong Li,Karl Bladin,Yajie Zhao,Chinmay Chinara,Owen Ingraham,Pengda Xiang,Xinglei Ren,Pratusha Prasad,Bipin Kishore,Jun Xing,Hao Li +10 more
TL;DR: In this article, a non-linear morphable face model is proposed to generate multifarious face geometry of pore-level resolution, coupled with material attributes for use in physically-based rendering.
Posted Content
Learning Formation of Physically-Based Face Attributes
Ruilong Li,Karl Bladin,Yajie Zhao,Chinmay Chinara,Owen Ingraham,Pengda Xiang,Xinglei Ren,Pratusha Prasad,Bipin Kishore,Jun Xing,Hao Li +10 more
TL;DR: This work introduces a non-linear morphable face model, capable of producing multifarious face geometry of pore-level resolution, coupled with material attributes for use in physically-based rendering.