Title

Low-Power Computer Vision: Status, Challenges, and Opportunities

Authors

Sergei Alyamkin, Expasoft, Novosibirsk, Russia
Matthew Ardi, Purdue University
Alexander Berg, University of North Carolina at Chapel Hill
Achille Brighton, Google
Bo Chen, Google
Yiran Chen, Duke University
Hsin-Pai Cheng, Duke University
Zichen Fan, Tsinghua University
Chen Feng, Qualcomm
Bo Fu, Purdue University
Kent Gauen, Purdue University
Abhinav Goel, Purdue University
Alexander Goncharenko, Expasoft, Novosibirsk, Russia
Xuyang Guo, Tsinghua University
Soonhoi Ha, Seoul National University
Andrew Howard, Google
Xiao Hu, Purdue University
Yuanjun Huang, University of Science and Technology of China
Donghyun Kang, Seoul National University
Jaeyoun Kim, Google
Jong Ko, Electronics and Telecommunications Research Institute
Alexander Kondratyev, Expasoft, Novosibirsk, Russia
Junhyeok Lee, Korea Platform Service Technology (KPST), Daejeon, South Korea
Seungjae Lee, Electronics and Telecommunications Research Institute
Suwoong Lee, Electronics and Telecommunications Research Institute
Zichao Li, Nanjing University
Zhiyu Liang, Qualcomm
Juzheng Liu, Tsinghua University
Xin Liu, Duke University
Yang Lu, Facebook
Yung-Hsiang Lu, Purdue University
Deeptanshu Malik, Purdue University
Hong Nguyen, Korea Platform Service Technology (KPST), Daejeon, South Korea
Eunbyung Park, University of North Carolina at Chapel Hill
Denis Repin, Expasoft, Novosibirsk, Russia
Liang Shen, Qualcomm
Tao Sheng, Qualcomm
Fei Sun, Facebook
David Svitov, Expasoft, Novosibirsk, Russia
George Thiruvathukal, Loyola University Chicago
Baiwu Zhang, Qualcomm
Jingchi Zhang, Duke University
Xiaopeng Zhang, Qualcomm
Shaojie Zhuo, Qualcomm

Document Type

Article

Publication Date

June 2019

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