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Xiaohui Xie
Researcher at University of California, Irvine
Publications - 351
Citations - 34195
Xiaohui Xie is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 58, co-authored 220 publications receiving 29844 citations. Previous affiliations of Xiaohui Xie include University of California, Berkeley & National Chiao Tung University.
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DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation
TL;DR: A conditional generative adversarial network (GAN) model is proposed, called Depth-image Guided GAN (DGGAN), to generate realistic depth maps conditioned on the input RGB image, and use the synthesized depth maps to regularize the 3D hand pose estimation model, therefore eliminating the need for ground-truth depth maps.
Journal ArticleDOI
Longitudinal analysis of new‐onset non‐AIDS‐defining diseases among people living with HIV: A real‐world observational study
Yujiao Duan,Hongxin Zhao,Weiming Tang,Mei-zhu Chen,Xuan Liu,Di Yang,Guiju Gao,Jiang Xiao,Ning Han,Hongyuan Liang,Liang Wu,Liang Ni,Fang Wang,Yangzi Song,Xiaohui Xie,Fujie Zhang +15 more
TL;DR: The incidence rates of new‐onset diabetes, hypertriglyceridemia, hypercholesterolemia, liver injury, and renal injury during antiretroviral therapy (ART) among people living with HIV (PLWH) are analyzed to determine the associated risk factors.
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Efficient Latent Variable Graphical Model Selection via Split Bregman Method
TL;DR: This work presents an efficient first-order method based on split Bregman to solve the convex problem and shows that it is significantly faster than the state-of-the-art algorithm on both artificial and real-world data.
Journal ArticleDOI
64 Systematic identification of human mitochondrial disease genes through integrative genomics
Sarah E. Calvo,Mohit Jain,Xiaohui Xie,Sunil A Sheth,Betty Chang,Olga Goldberger,Antonella Spinazzola,M Zeviani,Steven A. Carr,Vamsi K. Mootha +9 more
Proceedings ArticleDOI
Rotation-invariant Mixed Graphical Model Network for 2D Hand Pose Estimation
TL;DR: In this article, a new architecture named Rotation-invariant Mixed Graphical Model Network (R-MGMN) is proposed to solve the problem of 2D hand pose estimation from a monocular RGB image.