Dr Manli Zhu

Northumbria University
PhD (Co-supervised with )
, 2020 - 2024

Northumbria University
, United Kingdom
  • Research topic: Human action recognition with graph convolution
  • Funded by Northumbria University.

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Grants Involved

Northumbria University

Postgraduate Research Scholarship (Ref: ): £65,000, PhD (PI: Hubert P. H. Shum) ()
Received from Faculty of Engineering and Environment, Northumbria University, UK, 2020-2022
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Publications with the Team

Geometric Features Enhanced Human-Object Interaction Detection
Geometric Features Enhanced Human-Object Interaction Detection  Impact Factor: 5.6 Top 25% Journal in Engineering, Electrical & Electronic
IEEE Transactions on Instrumentation and Measurement (TIM), 2024
Manli Zhu, Edmond S. L. Ho, Shuang Chen, Longzhi Yang and Hubert P. H. Shum
Webpage Cite This Paper Supplementary Material GitHub
A Two-Stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction
A Two-Stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction  Impact Factor: 3.5 Top 25% Journal in Health Care Sciences & Services
Journal of Medical Systems (JMS), 2022
Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung and Hubert P. H. Shum
Webpage Cite This Paper GitHub
A Skeleton-Aware Graph Convolutional Network for Human-Object Interaction Detection
A Skeleton-Aware Graph Convolutional Network for Human-Object Interaction Detection
Proceedings of the 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022
Manli Zhu, Edmond S. L. Ho and Hubert P. H. Shum
Webpage Cite This Paper GitHub
Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention
Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention  Citation: 14#
Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2021
Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung and Hubert P. H. Shum
Webpage Cite This Paper YouTube Presentation Slides

Links

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Last updated on 6 October 2024
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