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Erasmus Mundus Action 2 Programme

Erasmus Mundus Action 2 Programme
Funding Source: Erasmus Mundus
Reference Number: 2014-0861/001-001
Value: €3.03 million
2015 - 2018

About the Project

  • Led by Northumbria University, supported collaborative research and capacity development among 18 partner universities, with 9 from Europe and 9 from Asia.
  • Enabled mutual capacity development between developed and developing countries through a research programme emphasising training and staff exchanges.
  • Led the grant management within Northumbria University and coordinated cross-institute grant management and research activities.
  • Within Dr Shum's research team, supported 3 Post-Doctoral Research Fellows (Dr Worasak Rueangsirarak, Dr Ying Huang, Dr Pengpeng Hu) and 1 PhD (Dr Shanfeng Hu).

People

Organizations

    YouTube

    Publications

    Automatic Musculoskeletal and Neurological Disorder Diagnosis with Relative Joint Displacement from Human Gait
    Automatic Musculoskeletal and Neurological Disorder Diagnosis with Relative Joint Displacement from Human Gait  REF 2021 Submitted Output Impact Factor: 4.8†    Citation: 28#
    IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2018
    Worasak Rueangsirarak, Jingtian Zhang, Nauman Aslam and Hubert P. H. Shum
    Webpage Cite This Plain Text 
    Worasak Rueangsirarak, Jingtian Zhang, Nauman Aslam and Hubert P. H. Shum, "Automatic Musculoskeletal and Neurological Disorder Diagnosis with Relative Joint Displacement from Human Gait," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 12, pp. 2387-2396, IEEE, 2018.
    Bibtex 
    @article{rueangsirarak18automatic,
     author={Rueangsirarak, Worasak and Zhang, Jingtian and Aslam, Nauman and Shum, Hubert P. H.},
     journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
     title={Automatic Musculoskeletal and Neurological Disorder Diagnosis with Relative Joint Displacement from Human Gait},
     year={2018},
     volume={26},
     number={12},
     pages={2387--2396},
     numpages={10},
     doi={10.1109/TNSRE.2018.2880871},
     issn={1534-4320},
     publisher={IEEE},
    }
    RIS 
    TY  - JOUR
    AU  - Rueangsirarak, Worasak
    AU  - Zhang, Jingtian
    AU  - Aslam, Nauman
    AU  - Shum, Hubert P. H.
    T2  - IEEE Transactions on Neural Systems and Rehabilitation Engineering
    TI  - Automatic Musculoskeletal and Neurological Disorder Diagnosis with Relative Joint Displacement from Human Gait
    PY  - 2018
    VL  - 26
    IS  - 12
    SP  - 2387
    EP  - 2396
    DO  - 10.1109/TNSRE.2018.2880871
    SN  - 1534-4320
    PB  - IEEE
    ER  - 
     Paper Dataset GitHub
    High-Speed Multi-Person Pose Estimation with Deep Feature Transfer
    High-Speed Multi-Person Pose Estimation with Deep Feature Transfer  Impact Factor: 4.3†    Citation: 13#
    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
    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 Output Impact Factor: 8.4† Top 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
    Facial Reshaping Operator for Controllable Face Beautification
    Facial Reshaping Operator for Controllable Face Beautification  Impact Factor: 7.5† Top 25% Journal in Computer Science, Artificial Intelligence†   Citation: 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
    Sparse Metric-Based Mesh Saliency
    Sparse Metric-Based Mesh Saliency  Impact Factor: 5.5† Top 25% Journal in Computer Science, Artificial Intelligence†   Citation: 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
    A New Method to Evaluate the Dynamic Air Gap Thickness and Garment Sliding of Virtual Clothes During Walking
    A New Method to Evaluate the Dynamic Air Gap Thickness and Garment Sliding of Virtual Clothes During Walking  Impact Factor: 1.6†    Citation: 20#
    Textile Research Journal (TRJ), 2019
    Pengpeng Hu, Edmond S. L. Ho, Nauman Aslam, Taku Komura and Hubert P. H. Shum
    Webpage Cite This Plain Text 
    Pengpeng Hu, Edmond S. L. Ho, Nauman Aslam, Taku Komura and Hubert P. H. Shum, "A New Method to Evaluate the Dynamic Air Gap Thickness and Garment Sliding of Virtual Clothes During Walking," Textile Research Journal, vol. 89, no. 19--20, pp. 4148-4161, SAGE, 2019.
    Bibtex 
    @article{hu19newmethod,
     author={Hu, Pengpeng and Ho, Edmond S. L. and Aslam, Nauman and Komura, Taku and Shum, Hubert P. H.},
     journal={Textile Research Journal},
     title={A New Method to Evaluate the Dynamic Air Gap Thickness and Garment Sliding of Virtual Clothes During Walking},
     year={2019},
     volume={89},
     number={19--20},
     pages={4148--4161},
     numpages={14},
     doi={10.1177/0040517519826930},
     publisher={SAGE},
    }
    RIS 
    TY  - JOUR
    AU  - Hu, Pengpeng
    AU  - Ho, Edmond S. L.
    AU  - Aslam, Nauman
    AU  - Komura, Taku
    AU  - Shum, Hubert P. H.
    T2  - Textile Research Journal
    TI  - A New Method to Evaluate the Dynamic Air Gap Thickness and Garment Sliding of Virtual Clothes During Walking
    PY  - 2019
    VL  - 89
    IS  - 19--20
    SP  - 4148
    EP  - 4161
    DO  - 10.1177/0040517519826930
    PB  - SAGE
    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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