Modelling Human Motion for Synthesis and Recognition with Deep Learning on Surface Features
Royal Society International Exchanges
About the Project
- Researched human body surface representations using deep learning.
- Supported a collaborative research project with Dr Antonio Mucherino from the University of Rennes 1, France.
People
- Dr Hubert P. H. Shum - Principal Investigator
- Dr Antonio Mucherino - Co-Investigator
- Dr Shanfeng Hu - Contributing Researcher
YouTube
Publications
A Unified Deep Metric Representation for Mesh Saliency Detection and Non-Rigid Shape Matching REF 2021 Submitted Output Impact Factor: 7.3† 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
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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
Sparse Metric-Based Mesh Saliency Impact Factor: 6.0†
Neurocomputing, 2020
Shanfeng Hu, Xiaohui Liang, Hubert P. H. Shum, Frederick W. B. Li and Nauman Aslam
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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
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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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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