Computer Science: Fully Funded EPSRC and Swansea University PhD Scholarship: Exploring high-resolution temporal correspondence in video instance segmentation

18 Sep 2023
Job Information

Organisation/Company

Swansea University

Department

Central

Research Field

Computer science

Researcher Profile

First Stage Researcher (R1)

Country

United Kingdom

Application Deadline

6 Nov 2023 – 23:59 (Europe/London)

Type of Contract

Other

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Funding providers: Engineering and Physical Sciences Research Council (EPSRC) and Swansea University’s Faculty of Science and Engineering

Subject areas: Computer vision, artificial intelligence

Project start date: 

• 1 January 2024 (Enrolment open from mid-December)

Project supervisors: 

• Dr Lin Wu ([email protected] ), Swansea University
• Professor Xianghua Xie, Swansea University
• Hao Chen, Zhejiang University, China
• Professor Mohammed Bennamoun, University of Western Australia, Australia

Aligned programme of study: PhD in Computer Science

Mode of study: Full-time

Project description: 

Video instance segmentation aims at simultaneous detection, segmentation and tracking of object instances in videos. Given a test video, the task requires not only the masks of all instances of a predefined category set to be labelled but also the instance identities across frames to be associated. Existing methods follow a detection and association paradigm, which essentially performs spatial priors’ estimation and a temporal stitching afterwards. This may hinder VIS in the occlusion and long-term videos. High-resolution (HR) features appear to be helpful to identify small and or occluded objects in static images. Thus, it is interesting to explore this valuable information that may benefit VIS. At the same time, HR feature fusion at temporal level to facilitate the long-term VIS remains open challenge. This project is motivated to design a latent space where HR features of instances can be properly fused at their temporal evolution. The research results will be also applied to related video-based tasks such as optical flow estimation, 3D reconstruction and 3D object detection.

Requirements

Research Field

Computer science

Education Level

Bachelor Degree or equivalent

Research Field

Mathematics

Education Level

Bachelor Degree or equivalent

Skills/Qualifications

Candidates must hold an Upper Second Class (2.1) honours degree or an appropriate master’s degree with a minimum overall grade at ‘Merit’ in Computer Science, Mathematics or a closely related discipline. If you are eligible to apply for the scholarship (i.e. a student who is eligible to pay the UK rate of tuition fees) but do not hold a UK degree, you can check our comparison entry requirements. Please note that you may need to provide evidence of your English Language proficiency. 

Specific Requirements

Due to funding restrictions, this scholarship is not open to applications from international students (unless eligible to pay UK tuition fee rates as defined by UKCISA regulations ). 

Additional Information
Benefits

This scholarship covers the full cost of tuition fees and an annual stipendof £18,622.

Additional research expenses will also be available. 

Eligibility criteria

Candidates must hold an Upper Second Class (2.1) honours degree or an appropriate master’s degree with a minimum overall grade at ‘Merit’ in Computer Science, Mathematics or a closely related discipline. If you are eligible to apply for the scholarship (i.e. a student who is eligible to pay the UK rate of tuition fees) but do not hold a UK degree, you can check our comparison entry requirements. Please note that you may need to provide evidence of your English Language proficiency. 

Due to funding restrictions, this scholarship is not open to applications from international students (unless eligible to pay UK tuition fee rates as defined by UKCISA regulations ). 

Selection process

Please visit our website for more information.

Website for additional job details

https://www.swansea.ac.uk/postgraduate/scholarships/research/computer-science-e…

Work Location(s)

Number of offers available

1

Company/Institute

Swansea University

Country

United Kingdom

State/Province

Swansea

City

Swansea

Postal Code

SA2 8PP

Street

Singleton Park

Geofield

Where to apply

Website

https://www.swansea.ac.uk/postgraduate/scholarships/research/computer-science-e…

Contact

City

Swansea

Website

http://www.swansea.ac.uk

Street

Singleton Park

Postal Code

SA28PP

STATUS: EXPIRED