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Bo Fu
Researcher at Purdue University
Publications - 5
Citations - 61
Bo Fu is an academic researcher from Purdue University. The author has contributed to research in topics: Resource allocation & Cloud computing. The author has an hindex of 2, co-authored 5 publications receiving 36 citations.
Papers
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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.
Posted Content
Low-Power Computer Vision: Status, Challenges, 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,Seung-Jae 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 examine the state of the art and suggest directions for research as well as opportunities forLow-power computer vision.
Proceedings ArticleDOI
Parallel video processing using embedded computers
TL;DR: This paper presents a solution for maintaining accuracy in parallel video processing that balances workload based on the speed of GPU and CPU to reduce execution time and shows significant improvement in accuracy and efficiency.
Posted Content
Analyzing Real-Time Multimedia Content From Network Cameras Using CPUs and GPUs in the Cloud
TL;DR: A cloud resource manager that solves the resource requirements of executing analysis programs using CPU or GPU, formulating the resource allocation problem as a multiple-choice vector bin packing problem, and solving it using an existing algorithm is described.
Proceedings ArticleDOI
Analyzing Real-Time Multimedia Content from Network Cameras Using CPUs and GPUs in the Cloud
TL;DR: In this paper, a cloud resource manager is proposed to reduce the overall monetary cost of using the cloud to analyze the real-time multimedia content from network cameras while meeting the desired analysis frame rates.