Dr Shanfeng Hu

Northumbria University
PhD (Co-supervised with )
, 2016 - 2019

Northumbria University
, UK

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Grants Involved

The Royal Society
Modelling Human Motion for Synthesis and Recognition with Deep Learning on Surface Features
Royal Society International Exchanges (Ref: IES\R2\181024): £12,000, Contributing Researcher (PI: Hubert P. H. Shum) ()
Received from The Royal Society, UK, 2019-2022
Project Page
The Royal Society
An Affective Smart Environment for Personalized Learning and Teaching
Royal Society International Exchanges (Ref: IE160609): £11,841, Contributing Researcher (PI: Hubert P. H. Shum) ()
Received from The Royal Society, UK, 2017-2019
Project Page
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, PhD (PI: Prof. Nauman Aslam)
Received from Erasmus Mundus, 2015-2018
Project Page

Publications with the Team

UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery
Proceedings of the 2022 International Conference on Computer Vision Theory and Applications (VISAPP), 2022
Daniel Organisciak, Matthew Poyser, Aishah Alsehaim, Shanfeng Hu, Brian K. S. Isaac-Medina, Toby P. Breckon and Hubert P. H. Shum
Webpage Cite This Plain Text
Daniel Organisciak, Matthew Poyser, Aishah Alsehaim, Shanfeng Hu, Brian K. S. Isaac-Medina, Toby P. Breckon and Hubert P. H. Shum, "UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery," in VISAPP '22: Proceedings of the 2022 International Conference on Computer Vision Theory and Applications, pp. 136-146, SciTePress, Feb 2022.
Bibtex
@inproceedings{organisciak22uavreid,
 author={Organisciak, Daniel and Poyser, Matthew and Alsehaim, Aishah and Hu, Shanfeng and Isaac-Medina, Brian K. S. and Breckon, Toby P. and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2022 International Conference on Computer Vision Theory and Applications},
 series={VISAPP '22},
 title={UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery},
 year={2022},
 month={2},
 pages={136--146},
 numpages={11},
 doi={10.5220/0010836600003124},
 isbn={978-989-758-555-5},
 publisher={SciTePress},
}
RIS
TY  - CONF
AU  - Organisciak, Daniel
AU  - Poyser, Matthew
AU  - Alsehaim, Aishah
AU  - Hu, Shanfeng
AU  - Isaac-Medina, Brian K. S.
AU  - Breckon, Toby P.
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2022 International Conference on Computer Vision Theory and Applications
TI  - UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery
PY  - 2022
Y1  - 2 2022
SP  - 136
EP  - 146
DO  - 10.5220/0010836600003124
SN  - 978-989-758-555-5
PB  - SciTePress
ER  - 
Paper GitHub
Facial Reshaping Operator for Controllable Face Beautification
Facial Reshaping Operator for Controllable Face Beautification Impact Factor: 7.5Top 25% Journal in Computer Science, Artificial IntelligenceCitation: 12#
Expert Systems with Applications (ESWA), 2021
Shanfeng Hu, Hubert P. H. Shum, Xiaohui Liang, Frederick W. B. Li and Nauman Aslam
Webpage Cite This Plain Text
Shanfeng Hu, Hubert P. H. Shum, Xiaohui Liang, Frederick W. B. Li and Nauman Aslam, "Facial Reshaping Operator for Controllable Face Beautification," Expert Systems with Applications, vol. 167, pp. 114067, Elsevier, 2021.
Bibtex
@article{hu21facial,
 author={Hu, Shanfeng and Shum, Hubert P. H. and Liang, Xiaohui and Li, Frederick W. B. and Aslam, Nauman},
 journal={Expert Systems with Applications},
 title={Facial Reshaping Operator for Controllable Face Beautification},
 year={2021},
 volume={167},
 pages={114067},
 numpages={13},
 doi={10.1016/j.eswa.2020.114067},
 issn={0957-4174},
 publisher={Elsevier},
}
RIS
TY  - JOUR
AU  - Hu, Shanfeng
AU  - Shum, Hubert P. H.
AU  - Liang, Xiaohui
AU  - Li, Frederick W. B.
AU  - Aslam, Nauman
T2  - Expert Systems with Applications
TI  - Facial Reshaping Operator for Controllable Face Beautification
PY  - 2021
VL  - 167
SP  - 114067
EP  - 114067
DO  - 10.1016/j.eswa.2020.114067
SN  - 0957-4174
PB  - Elsevier
ER  - 
Paper Supplementary Material
A Unified Deep Metric Representation for Mesh Saliency Detection and Non-Rigid Shape Matching
A Unified Deep Metric Representation for Mesh Saliency Detection and Non-Rigid Shape Matching REF 2021 Submitted OutputImpact Factor: 8.4Top 10% Journal in Computer Science, Software Engineering
IEEE Transactions on Multimedia (TMM), 2020
Shanfeng Hu, Hubert P. H. Shum, Nauman Aslam, Frederick W. B. Li and Xiaohui Liang
Webpage Cite This Plain Text
Shanfeng Hu, Hubert P. H. Shum, Nauman Aslam, Frederick W. B. Li and Xiaohui Liang, "A Unified Deep Metric Representation for Mesh Saliency Detection and Non-Rigid Shape Matching," IEEE Transactions on Multimedia, vol. 22, no. 9, pp. 2278-2292, IEEE, 2020.
Bibtex
@article{hu20deep,
 author={Hu, Shanfeng and Shum, Hubert P. H. and Aslam, Nauman and Li, Frederick W. B. and Liang, Xiaohui},
 journal={IEEE Transactions on Multimedia},
 title={A Unified Deep Metric Representation for Mesh Saliency Detection and Non-Rigid Shape Matching},
 year={2020},
 volume={22},
 number={9},
 pages={2278--2292},
 numpages={15},
 doi={10.1109/TMM.2019.2952983},
 issn={1941-0077},
 publisher={IEEE},
}
RIS
TY  - JOUR
AU  - Hu, Shanfeng
AU  - Shum, Hubert P. H.
AU  - Aslam, Nauman
AU  - Li, Frederick W. B.
AU  - Liang, Xiaohui
T2  - IEEE Transactions on Multimedia
TI  - A Unified Deep Metric Representation for Mesh Saliency Detection and Non-Rigid Shape Matching
PY  - 2020
VL  - 22
IS  - 9
SP  - 2278
EP  - 2292
DO  - 10.1109/TMM.2019.2952983
SN  - 1941-0077
PB  - IEEE
ER  - 
Paper YouTube
Sparse Metric-Based Mesh Saliency
Sparse Metric-Based Mesh Saliency Impact Factor: 5.5Top 25% Journal in Computer Science, Artificial IntelligenceCitation: 11#
Neurocomputing, 2020
Shanfeng Hu, Xiaohui Liang, Hubert P. H. Shum, Frederick W. B. Li and Nauman Aslam
Webpage Cite This Plain Text
Shanfeng Hu, Xiaohui Liang, Hubert P. H. Shum, Frederick W. B. Li and Nauman Aslam, "Sparse Metric-Based Mesh Saliency," Neurocomputing, vol. 400, pp. 11-23, Elsevier, 2020.
Bibtex
@article{hu20sparse,
 author={Hu, Shanfeng and Liang, Xiaohui and Shum, Hubert P. H. and Li, Frederick W. B. and Aslam, Nauman},
 journal={Neurocomputing},
 title={Sparse Metric-Based Mesh Saliency},
 year={2020},
 volume={400},
 pages={11--23},
 numpages={13},
 doi={10.1016/j.neucom.2020.02.106},
 issn={0925-2312},
 publisher={Elsevier},
}
RIS
TY  - JOUR
AU  - Hu, Shanfeng
AU  - Liang, Xiaohui
AU  - Shum, Hubert P. H.
AU  - Li, Frederick W. B.
AU  - Aslam, Nauman
T2  - Neurocomputing
TI  - Sparse Metric-Based Mesh Saliency
PY  - 2020
VL  - 400
SP  - 11
EP  - 23
DO  - 10.1016/j.neucom.2020.02.106
SN  - 0925-2312
PB  - Elsevier
ER  - 
Paper Dataset GitHub
DSPP: Deep Shape and Pose Priors of Humans
DSPP: Deep Shape and Pose Priors of Humans
Proceedings of the 2019 ACM SIGGRAPH Conference on Motion, Interaction and Games (MIG), 2019
Shanfeng Hu, Hubert P. H. Shum and Antonio Mucherino
Webpage Cite This Plain Text
Shanfeng Hu, Hubert P. H. Shum and Antonio Mucherino, "DSPP: Deep Shape and Pose Priors of Humans," in MIG '19: Proceedings of the 2019 ACM SIGGRAPH Conference on Motion, Interaction and Games, pp. 1:1-1:6, Newcastle upon Tyne, UK, ACM, Oct 2019.
Bibtex
@inproceedings{hu19dspp,
 author={Hu, Shanfeng and Shum, Hubert P. H. and Mucherino, Antonio},
 booktitle={Proceedings of the 2019 ACM SIGGRAPH Conference on Motion, Interaction and Games},
 series={MIG '19},
 title={DSPP: Deep Shape and Pose Priors of Humans},
 year={2019},
 month={10},
 pages={1:1--1:6},
 numpages={6},
 doi={10.1145/3359566.3360051},
 isbn={978-1-4503-6994-7},
 publisher={ACM},
 Address={New York, NY, USA},
 location={Newcastle upon Tyne, UK},
}
RIS
TY  - CONF
AU  - Hu, Shanfeng
AU  - Shum, Hubert P. H.
AU  - Mucherino, Antonio
T2  - Proceedings of the 2019 ACM SIGGRAPH Conference on Motion, Interaction and Games
TI  - DSPP: Deep Shape and Pose Priors of Humans
PY  - 2019
Y1  - 10 2019
SP  - 1:1
EP  - 1:6
DO  - 10.1145/3359566.3360051
SN  - 978-1-4503-6994-7
PB  - ACM
ER  - 
Paper YouTube
A Dual-Stream Recurrent Neural Network for Student Feedback Prediction using Kinect
A Dual-Stream Recurrent Neural Network for Student Feedback Prediction using Kinect
Proceedings of the 2018 International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2018
Shanfeng Hu, Hindol Bhattacharya, Matangini Chattopadhyay, Nauman Aslam and Hubert P. H. Shum
Webpage Cite This Plain Text
Shanfeng Hu, Hindol Bhattacharya, Matangini Chattopadhyay, Nauman Aslam and Hubert P. H. Shum, "A Dual-Stream Recurrent Neural Network for Student Feedback Prediction using Kinect," in SKIMA '18: Proceedings of the 2018 International Conference on Software, Knowledge, Information Management and Applications, pp. 1-8, Phnom Penh, Cambodia, IEEE, Dec 2018.
Bibtex
@inproceedings{hu18dualstream,
 author={Hu, Shanfeng and Bhattacharya, Hindol and Chattopadhyay, Matangini and Aslam, Nauman and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2018 International Conference on Software, Knowledge, Information Management and Applications},
 series={SKIMA '18},
 title={A Dual-Stream Recurrent Neural Network for Student Feedback Prediction using Kinect},
 year={2018},
 month={12},
 pages={1--8},
 numpages={8},
 doi={10.1109/SKIMA.2018.8631537},
 issn={2573-3214},
 publisher={IEEE},
 location={Phnom Penh, Cambodia},
}
RIS
TY  - CONF
AU  - Hu, Shanfeng
AU  - Bhattacharya, Hindol
AU  - Chattopadhyay, Matangini
AU  - Aslam, Nauman
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2018 International Conference on Software, Knowledge, Information Management and Applications
TI  - A Dual-Stream Recurrent Neural Network for Student Feedback Prediction using Kinect
PY  - 2018
Y1  - 12 2018
SP  - 1
EP  - 8
DO  - 10.1109/SKIMA.2018.8631537
SN  - 2573-3214
PB  - IEEE
ER  - 
Paper
A Motion Classification Approach to Fall Detection
A Motion Classification Approach to Fall Detection
Proceedings of the 2017 International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2017
Shanfeng Hu, Worasak Rueangsirarak, Maxime Bouchee, Nauman Aslam and Hubert P. H. Shum
Webpage Cite This Plain Text
Shanfeng Hu, Worasak Rueangsirarak, Maxime Bouchee, Nauman Aslam and Hubert P. H. Shum, "A Motion Classification Approach to Fall Detection," in SKIMA '17: Proceedings of the 2017 International Conference on Software, Knowledge, Information Management and Applications, pp. 1-6, Colombo, Sri Lanka, IEEE, Dec 2017.
Bibtex
@inproceedings{hu17motion,
 author={Hu, Shanfeng and Rueangsirarak, Worasak and Bouchee, Maxime and Aslam, Nauman and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2017 International Conference on Software, Knowledge, Information Management and Applications},
 series={SKIMA '17},
 title={A Motion Classification Approach to Fall Detection},
 year={2017},
 month={12},
 pages={1--6},
 numpages={6},
 doi={10.1109/SKIMA.2017.8294096},
 issn={2573-3214},
 publisher={IEEE},
 location={Colombo, Sri Lanka},
}
RIS
TY  - CONF
AU  - Hu, Shanfeng
AU  - Rueangsirarak, Worasak
AU  - Bouchee, Maxime
AU  - Aslam, Nauman
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2017 International Conference on Software, Knowledge, Information Management and Applications
TI  - A Motion Classification Approach to Fall Detection
PY  - 2017
Y1  - 12 2017
SP  - 1
EP  - 6
DO  - 10.1109/SKIMA.2017.8294096
SN  - 2573-3214
PB  - IEEE
ER  - 
Paper

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