Modelling Human Motion for Synthesis and Recognition with Deep Learning on Surface Features
Royal Society International Exchanges

Royal Society International Exchanges
Funding Source: The Royal Society, UK
Reference Number: IES\R2\181024
Value: £12,000
2019 - 2022

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    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 Paper YouTube Cite BibTeX Cite RIS Cite Plain Text
    Sparse Metric-Based Mesh Saliency
    Sparse Metric-Based Mesh Saliency  Impact Factor: 5.5 Top 25% Journal in Computer Science, Artificial Intelligence
    Neurocomputing, 2020
    Shanfeng Hu, Xiaohui Liang, Hubert P. H. Shum, Frederick W. B. Li and Nauman Aslam
    Webpage Paper Dataset GitHub Cite BibTeX Cite RIS Cite Plain Text
    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
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      Last updated on 14 July 2024
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