Self-funded PhD Positions Available

Deep Learning based Computer Graphics for Creating Virtual Characters
Computer Vision with Deep Learning for Human Data Modelling
Deep Learning and Computer Vision for Understanding the People Context in Artworks
Machine Learning based Human Motion Analysis for Automatic Diseases Diagnosis

Dr
Jingtian Zhang

Northumbria University

PhD
, 2015 - 2019

Northumbria University
, United Kingdom

Research Interests: Computer Vision, Action Recognition

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Thesis (11.4MB)

Funding Participated

Northumbria University
Postgraduate Research Scholarship (Ref: ): £65,000 x 2 = £130,000, PhD (PI: Hubert P. H. Shum) ()
Project Title:

Received from Faculty of Engineering and Environment, Northumbria University, UK, 2014-2018
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Publications with the Team

Webpage
Prior-less 3D Human Shape Reconstruction with an Earth Mover's Distance Informed CNN Citation=1##
Proceedings of the 2019 International Conference on Motion, Interaction and Games (MIG) Posters, 2019
Jingtian Zhang, Hubert P. H. Shum, Kevin McCay and Edmond S. L. Ho
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Action Recognition from Arbitrary Views Using Transferable Dictionary Learning IF=9.340# Citation=23##
IEEE Transactions on Image Processing (TIP), 2018
Jingtian Zhang, Hubert P. H. Shum, Jungong Han and Ling Shao
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Automatic Musculoskeletal and Neurological Disorder Diagnosis with Relative Joint Displacement from Human Gait IF=3.340# Citation=6##
IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2018
Worasak Rueangsirarak, Jingtian Zhang, Nauman Aslam and Hubert P. H. Shum
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Webpage
Arbitrary View Action Recognition via Transfer Dictionary Learning on Synthetic Training Data Citation=11##
Proceedings of the 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016
Jingtian Zhang, Lining Zhang, Hubert P. H. Shum and Ling Shao
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Webpage
Depth Sensor based Facial and Body Animation Control Citation=1##
Book Chapter: Handbook of Human Motion, 2016
Yijun Shen, Jingtian Zhang, Longzhi Yang and Hubert P. H. Shum
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Links

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Google Scholar
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Last update: 15 April 2021