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Shaojie Zhuo
Researcher at Qualcomm
Publications - 27
Citations - 1723
Shaojie Zhuo is an academic researcher from Qualcomm. The author has contributed to research in topics: Image restoration & Internal medicine. The author has an hindex of 18, co-authored 23 publications receiving 1462 citations. Previous affiliations of Shaojie Zhuo include National University of Singapore.
Papers
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Proceedings ArticleDOI
Image-based clothes animation for virtual fitting
TL;DR: This work developed a real-time system using a Microsoft Kinect camera that demonstrates effective clothes fitting results with a variety of garment types and overcomes challenges in generating a convincing garment animation.
Journal ArticleDOI
Automatic local exposure correction using bright channel prior for under-exposed images
TL;DR: This paper proposes the bright channel prior based on the statistics of well-exposed images to estimate the relative exposure in local image regions and shows that the results generated by the exposure correction method are preferred over existing methods.
Journal ArticleDOI
Low-Power Computer Vision: Status, Challenges, and Opportunities
Sergei Alyamkin,Matthew Ardi,Alexander C. Berg,Achille Brighton,Bo Chen,Yi Chen,Hsin-Pai Cheng,Zichen Fan,Chen Feng,Bo Fu,Kent Gauen,Abhinav Goel,Alexander Goncharenko,Xuyang Guo,Soonhoi Ha,Andrew Howard,Xiao Hu,Yuanjun Huang,Dong-Hyun Kang,Jaeyoun Kim,Jong-Gook Ko,Alexander Kondratyev,Jun-Hyeok Lee,Seungjae Lee,Suwoong Lee,Zichao Li,Zhiyu Liang,Juzheng Liu,Xin Liu,Yang Lu,Yung-Hsiang Lu,Deeptanshu Malik,Hong Hanh Nguyen,Eunbyung Park,Denis Repin,Liang Shen,Tao Sheng,Fei Sun,David Svitov,George K. Thiruvathukal,Baiwu Zhang,Jingchi Zhang,Xiaopeng Zhang,Shaojie Zhuo +43 more
TL;DR: The state of the art for low-power solutions to detect objects in images is examined to suggest directions for research as well as opportunities forLow-power computer vision.
Journal ArticleDOI
Interactive Visualization of Hyperspectral Images of Historical Documents
TL;DR: An interactive visualization tool to study and analyze hyperspectral images (HSI) of historical documents and offers an assortment of visualization and analysis methods, including interactive spectral selection, spectral similarity analysis, time-varying data analysis and visualization, and selective spectral band fusion.
Book ChapterDOI
On the Recovery of Depth from a Single Defocused Image
Shaojie Zhuo,Terence Sim +1 more
TL;DR: A novel approach to estimate the amount of spatially varying defocus blur at edge locations is presented and it is shown that the gradient magnitude ratio between the input and re-blurred images depends only on the number of defocus blurred images.