Computer Vision with Deep-Learning Based Artificial Intelligence for High-Dimensional Data

About the Project

High-dimentional data is central to many computer vision research. Such data includes videos, 3D motions and trajectories, LiDAR, RADAR, medical images, meshes, time series, etc. They inform real-world applications such as healthcare, suivellience and monitoring.

This project focuses on deep learning based computer vision methods to understand high-dimensional data, with a particular focus on artificial intelligence that makes responsible decisions.

There is a wide range of projects within this scope. Some examples include:

• Human action recognition and behaviour analysis from videos or 3D skeletal motions.
• Video based detection and tracking for suivellience.
• 3D LiDAR segmentation and object recognition.
• Multi-human activity and human-object interaction recognition.
• Movement disorder diagnosis for Parkinson’s disease/Cerebral Palsy.
• Action quality assessment for sports sciences, healthcare and surgery.
• Human and vehicle movement trajectory prediction.
• Medical image analysis with X-ray, MRI and CT scans.

How to Apply

Please send an email with your resume, transcripts, thesis, and any supporting documents to Prof. Hubert Shum hubert.shum@durham.ac.uk for an initial assessment.

Supervision

You will be supervised by Prof. Hubert Shum (http://hubertshum.com/), who is a Professor of Visual Computing and the Director of Research of the Department of Computer Science at Durham University, specialising in modelling spatio-temporal information with responsible AI. He has authored over 200 research publications in the fields of Computer Vision, Computer Graphics and AI in Healthcare, underpinned by Responsible AI designs and algorithms. His work has been featured in leading venues such as CVPR, ICCV, ECCV, SIGGRAPH, MICCAI, IEEE TVCG and IEEE TIP. He is a Co-Founder and the Co-Director (Research) of Durham University Space Research Centre. He has led multiple research projects funded by the UK government, the charity and industry, providing him with the experience of supervising over 30 PhDs and many post-doctoral researchers. He hosts international conferences such as BMVC, ACM SIGGRAPH/Eurographics SCA and ACM SIGGRAPH MIG.

During the PhD study, you will receive comprehensive training and research coaching through regular one-to-one meetings with Prof. Shum to develop your strengths and consolidate your research knowledge. Prof. Shum’s research team has a supportive culture and provides assistance and collaboration opportunities. His past PhDs have had great success in developing their professional research profiles, as well as securing promising careers after graduation.

Our Resources

Durham University hosts the UK regional supercomputer, Bede, with 128 NVIDIA V100 GPUs. On top of that, our Department hosts an NVIDIA CUDA Centre that caters to the increasing GPU demands for research purposes.

Our laboratories have an array of computer science equipment and sensors, including sensor-mounted vehicles, LiDAR, RADAR, EEG, drones, robots, cameras and more.Durham University

Durham University is a world top-100 university and is ranked top-5 in the UK. As a member university of the elite Russell Group, Durham University focuses on research excellence delivered by world-leading academics. It is the third oldest university in England, following Oxford and Cambridge, with the campus's Cathedral and Castle being a UNESCO World Heritage Site. It is located in Durham at North East England – one of the safest cities in the UK with an affordable living cost.

Entry Requirements

• A relevant undergraduate or master's degree with good scores.
• Knowledge of modern programming languages.
• Meet Durham's English requirements (https://www.dur.ac.uk/study/international/entry-requirements/english-language-requirements/).

Funding Notes

This is a self-funded PhD position,and applications are welcome all year round.

Students of exceptional quality may consider applying for scholarships (including CSC, and Durham University's studentships), which open in October every year.