M
Matthew Ardi
Researcher at Purdue University
Publications - 4
Citations - 56
Matthew Ardi is an academic researcher from Purdue University. The author has contributed to research in topics: Mobile robot & Efficient energy use. The author has an hindex of 2, co-authored 4 publications receiving 32 citations.
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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
Special Session: 2018 Low-Power Image Recognition Challenge and Beyond
Matthew Ardi,Alexander C. Berg,Bo Chen,Yen-Kuang Chen,Yi Chen,Dong-Hyun Kang,Jun-Hyeok Lee,Seungjae Lee,Yang Lu,Yung-Hsiang Lu,Fei Sun +10 more
TL;DR: This paper summarizes LPIRC in year 2018 by describing the winners’ solutions and discusses the future of low-power computer vision.
Posted Content
Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution.
Chen Feng,Tao Sheng,Zhiyu Liang,Shaojie Zhuo,Xiaopeng Zhang,Liang Shen,Matthew Ardi,Alexander C. Berg,Yi Chen,Bo Chen,Kent Gauen,Yung-Hsiang Lu +11 more
TL;DR: The winning solution proposed a quantization-friendly framework for MobileNets that achieves an accuracy of 72.67% on the holdout dataset with an average latency of 27ms on a single CPU core of Google Pixel2 phone, which is superior to the best real-time MobileNet models at the time.