Jingyi Yu
Professor
Information Science and Technology
Shanghai Tech University
China
Biography
Jingyi Yu received B.S. from Caltech in 2000 and Ph.D. from MIT in 2005.Since then, he has been on the faculty of the Department of Computer and Information Sciences and the Department of Electrical and Computer Engineering at the University of Delaware. He joined ShanghaiTech University as professor in the School of Information Science and Technology since September 2015. His research interests span a range of topics in computer vision and computer graphics, especially on computational photography and non-conventional optics and camera designs. He has published over 90 papers at highly refereed conferences and journals including over 40 papers at the premiere conferences CVPR/ICCV/ECCV. He has been granted 10 US patents on computational imaging. His research has been generously supported by the National Science Foundation (NSF), the National Institute of Health (NIH), the Army Research Office (ARO), and the Air Force Office of Scientific Research (AFOSR). He is a recipient of the NSF CAREER Award, the AFOSR YIP Award, and the Outstanding Junior Faculty Award at the University of Delaware. He is an Associate Editor of IEEE TPAMI, Springer TVCJ and Springer MVA.
Research Interest
Computer Vision, Computer Graphics, Computational Imaging and Photography, Medical Imaging, bioinformatics.
Publications
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Jingyi Yu, Multi-sensor Fusion for Motion Deblurring, Book Chapter, to appear in Motion Deblurring: Theory, Algorithms and Systems, A. N. Rajagopalan and Rama Chellappa, Cambridge University Press, 2013.
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Feng Li, Zijia Li, David Saunders and Jingyi Yu, A Theory of Co-prime Blurred Pairs, in Proceedings of the Twelfth International Conference on Computer Vision (ICCV), 2011: 217-224.
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Xuan Yu, Jason C. Yang, Justin Hensley, Takahiro Harada and Jingyi Yu, A Framework for Rendering Complex Scattering Effects on Hair, in Proceedings of ACM SIGGRAPH Symposium on Interactive 3D Graphics & Games (I3D), 2012: 111-118.
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Yu Ji, Jinwei Ye and Jingyi Yu, Volumetric Gas Flow Reconstruction Via Light Path Estimation, to appear in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
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Yu-Wing Tai, Xiaogang Chen, Sunyeong Kim, Seon Joo Kim, Feng Li, Jie Yang, Jingyi Yu, Yasuyuku Matsushita and Michael Brown, Image Deblurring Under Non-linear Camera Response Curves, in IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), 2013.
