J
Jinli Suo
Researcher at Tsinghua University
Publications - 152
Citations - 3494
Jinli Suo is an academic researcher from Tsinghua University. The author has contributed to research in topics: Computer science & Pixel. The author has an hindex of 28, co-authored 124 publications receiving 2587 citations. Previous affiliations of Jinli Suo include Chinese Academy of Sciences & MediaTech Institute.
Papers
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A Compositional and Dynamic Model for Face Aging
TL;DR: This model represents faces in each age group by a hierarchical And-or graph, in which And nodes decompose a face into parts to describe details crucial for age perception and Or nodes represent large diversity of faces by alternative selections.
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Rank Minimization for Snapshot Compressive Imaging
TL;DR: A joint model is built to integrate the nonlocal self-similarity of video/hyperspectral frames and the rank minimization approach with the SCI sensing process and an alternating minimization algorithm is developed to solve the non-convex problem of SCI reconstruction.
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Fourier ptychographic reconstruction using Wirtinger flow optimization
TL;DR: This paper proposes an iterative optimization framework incorporating phase retrieval and noise relaxation together, to realize FP reconstruction using low SNR images captured under short exposure time and could save ~ 80% exposure time to achieve similar retrieval accuracy compared to the conventional FP.
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Video-rate imaging of biological dynamics at centimetre scale and micrometre resolution
Jingtao Fan,Jinli Suo,Jiamin Wu,Hao Xie,Shen Yibing,Feng Chen,Guijin Wang,Liangcai Cao,Guofan Jin,Quansheng He,Tianfu Li,Guoming Luan,Lingjie Kong,Zhenrong Zheng,Qionghai Dai +14 more
TL;DR: This work proposes the use of a flat–curved–flat imaging strategy, in which the sample plane is magnified onto a large spherical image surface and then seamlessly conjugated to multiple planar sensors, to perform video-rate, gigapixel imaging of biological dynamics at centimetre scale and micrometre resolution.
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Multispectral imaging using a single bucket detector.
TL;DR: This work proposes to conduct multispectral imaging using a single bucket detector, to take full advantage of its high sensitivity, wide spectrum range, low cost, small size and light weight.