Dr Ying Huang

Northumbria University
Post-Doctoral Research Fellow (Co-supervised with )
, 2017 - 2018

Northumbria University
, UK

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Grants Involved

Erasmus Mundus
Sustainable Green Economies through Learning, Innovation, Networking and Knowledge Exchange (gLink)
Erasmus Mundus Action 2 Programme (Ref: 2014-0861/001-001): €3.03 million, Post-Doctoral Research Fellow (PI: Prof. Nauman Aslam)
Received from Erasmus Mundus, 2015-2018
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Publications with the Team

High-Speed Multi-Person Pose Estimation with Deep Feature Transfer
High-Speed Multi-Person Pose Estimation with Deep Feature Transfer Impact Factor: 3.5Citation: 16#
Computer Vision and Image Understanding (CVIU), 2020
Ying Huang, Hubert P. H. Shum, Edmond S. L. Ho and Nauman Aslam
Webpage Cite This Plain Text
Ying Huang, Hubert P. H. Shum, Edmond S. L. Ho and Nauman Aslam, "High-Speed Multi-Person Pose Estimation with Deep Feature Transfer," Computer Vision and Image Understanding, vol. 197-198, pp. 103010, Elsevier, 2020.
Bibtex
@article{huang20highspeed,
 author={Huang, Ying and Shum, Hubert P. H. and Ho, Edmond S. L. and Aslam, Nauman},
 journal={Computer Vision and Image Understanding},
 title={High-Speed Multi-Person Pose Estimation with Deep Feature Transfer},
 year={2020},
 volume={197-198},
 pages={103010},
 numpages={14},
 doi={10.1016/j.cviu.2020.103010},
 issn={1077-3142},
 publisher={Elsevier},
}
RIS
TY  - JOUR
AU  - Huang, Ying
AU  - Shum, Hubert P. H.
AU  - Ho, Edmond S. L.
AU  - Aslam, Nauman
T2  - Computer Vision and Image Understanding
TI  - High-Speed Multi-Person Pose Estimation with Deep Feature Transfer
PY  - 2020
VL  - 197-198
SP  - 103010
EP  - 103010
DO  - 10.1016/j.cviu.2020.103010
SN  - 1077-3142
PB  - Elsevier
ER  - 
Paper

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