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Modelling Human Motion for Synthesis and Recognition with Deep Learning on Surface Features
Royal Society International Exchanges
Funding Source:
The Royal Society
, UK
Reference Number: IES\R2\181024
Value: £12,000
2019 - 2022
About the Project
Researched on
human body surface representations using deep learning
.
Supported a collaborative research project with
Dr Antonio Mucherino
from
University of Rennes 1
, France.
Links
People
Dr Hubert P. H. Shum
- Principal Investigator
Dr Antonio Mucherino
- Co-Investigator
Dr Shanfeng Hu
- Contributing Researcher
Organizations
YouTube
Publications
A Unified Deep Metric Representation for Mesh Saliency Detection and Non-Rigid Shape Matching
REF 2021 Submitted Output
Impact Factor: 7.300
†
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
DOI
Paper
Source Code
YouTube
Video
Cite BibTeX
Cite RIS
Cite Plain
Cite Wikipedia
Sparse Metric-Based Mesh Saliency
Impact Factor: 6.000
†
Neurocomputing, 2020
Shanfeng Hu
,
Xiaohui Liang
,
Hubert P. H. Shum
,
Frederick W. B. Li
and
Nauman Aslam
Webpage
DOI
Paper
Dataset
Source Code
Cite BibTeX
Cite RIS
Cite Plain
Cite Wikipedia
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
DOI
Paper
Source Code
YouTube
Video
Presentation Slides
Cite BibTeX
Cite RIS
Cite Plain
Cite Wikipedia
Last updated on 17 September 2023
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