Dr Bingzhang Hu
Research Assistant
, 2019 - 2019
Northumbria University
, United Kingdom
- Research interests: Computer Vision, Machine Learning
- Funded by Dr Shum's 2019 GX project
- Collaborated with Indigo Multimedia, a healthcare multimedia SME.
Grants Involved
Wound Monitoring with Depth Cameras on Portable Systems
GX Project Grants Scheme: £10,242, Research Assistant (PI: Hubert P. H. Shum)
Received from Newcastle Gateshead Initiative, UK, 2019-2019
Project Page
GX Project Grants Scheme: £10,242, Research Assistant (PI: Hubert P. H. Shum)
Received from Newcastle Gateshead Initiative, UK, 2019-2019
Project Page
Publications with the Team
Semi-Supervised Crowd Counting from Unlabeled Data
arXiv Preprint, 2021
Haoran Duan, Fan Wan, Rui Sun, Zeyu Wang, Varun Ojha, Yu Guan, Hubert P. H. Shum, Bingzhang Hu and Yang Long
Topics: Crowd Modelling
Webpage Cite This Plain Text
arXiv Preprint, 2021
Haoran Duan, Fan Wan, Rui Sun, Zeyu Wang, Varun Ojha, Yu Guan, Hubert P. H. Shum, Bingzhang Hu and Yang Long
Topics: Crowd Modelling
Webpage Cite This Plain Text
Haoran Duan, Fan Wan, Rui Sun, Zeyu Wang, Varun Ojha, Yu Guan, Hubert P. H. Shum, Bingzhang Hu and Yang Long, "Semi-Supervised Crowd Counting from Unlabeled Data," arXiv preprint arXiv:2108.13969, 2021.
Bibtex @article{duan21crowd,
author={Duan, Haoran and Wan, Fan and Sun, Rui and Wang, Zeyu and Ojha, Varun and Guan, Yu and Shum, Hubert P. H. and Hu, Bingzhang and Long, Yang},
journal={arXiv},
series={Preprint '21},
title={Semi-Supervised Crowd Counting from Unlabeled Data},
year={2021},
numpages={24},
eprint={arXiv:2108.13969},
archivePrefix={arXiv},
primaryClass={cs.CV},
doi={10.48550/arXiv.2108.13969},
url={https://arxiv.org/abs/2108.13969},
}
RIS author={Duan, Haoran and Wan, Fan and Sun, Rui and Wang, Zeyu and Ojha, Varun and Guan, Yu and Shum, Hubert P. H. and Hu, Bingzhang and Long, Yang},
journal={arXiv},
series={Preprint '21},
title={Semi-Supervised Crowd Counting from Unlabeled Data},
year={2021},
numpages={24},
eprint={arXiv:2108.13969},
archivePrefix={arXiv},
primaryClass={cs.CV},
doi={10.48550/arXiv.2108.13969},
url={https://arxiv.org/abs/2108.13969},
}
TY - Preprint
AU - Duan, Haoran
AU - Wan, Fan
AU - Sun, Rui
AU - Wang, Zeyu
AU - Ojha, Varun
AU - Guan, Yu
AU - Shum, Hubert P. H.
AU - Hu, Bingzhang
AU - Long, Yang
JO - arXiv preprints
SP - arXiv:2108.13969
KW - cs.CV
TI - Semi-Supervised Crowd Counting from Unlabeled Data
PY - 2021
DO - 10.48550/arXiv.2108.13969
ER -
PaperAU - Duan, Haoran
AU - Wan, Fan
AU - Sun, Rui
AU - Wang, Zeyu
AU - Ojha, Varun
AU - Guan, Yu
AU - Shum, Hubert P. H.
AU - Hu, Bingzhang
AU - Long, Yang
JO - arXiv preprints
SP - arXiv:2108.13969
KW - cs.CV
TI - Semi-Supervised Crowd Counting from Unlabeled Data
PY - 2021
DO - 10.48550/arXiv.2108.13969
ER -
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