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
- Prof. 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: 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
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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
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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
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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 Text
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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