The PhD project is a collaborative project between MBDA UK and the University of Bristol’s Visual Information Laboratory, on ‘Learning-based Resilient Image Compression for Object Detection’.
The project comprises of two work areas:
The former part of the project seeks to improve the reconstruction quality of foreground objects that are within identified regions of interest. The latter focuses on developing an end-end optimized coding and detection framework. Developed solutions will be tailored to meet challenging scenarios (for example dealing with low resolution images and low transmission bitrates).
Applicants must hold/achieve a minimum of a merit at master’s degree level (or international equivalent) in a science, mathematics or engineering discipline. Applicants without a master’s qualification may be considered on an exceptional basis, provided they hold a first-class undergraduate degree. Please note, acceptance will also depend on evidence of readiness to pursue a research degree.
Essential: Excellent analytical skills and experimental acumen
Desirable: A background understanding in one or more of the following:
For questions about the research topic, please contact Dr Aaron Zhang (fan.zhang@bristol.ac.uk).
For questions about eligibility and the application process please contact Engineering Postgraduate Research Admissions admissions-engpgr@bristol.ac.uk
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