About the Project
This project will focus on developing accurate deep learning-based gaze estimation methods to bridge this gap. Different deep learning models like Convolutional Neural Networks, Generative Adversarial Networks will be explored to improve the accuracy of gaze estimation in common human interaction scenarios. This project is meaningful in that not only does it offer you an opportunity to learn state-of-the-art deep learning methods, but it also enables you to develop practical gaze related applications.
Students are required to meet the following English Language requirements
You should have, or expect to achieve, at least a 2:1 honours degree (or equivalent international qualification) in a relevant subject.
Start date: 1st October 2020
Full-time (3 years)
How to apply
All applications should be made online
Under school/department name, select 'Computer Science'. Please quote reference CO/HC-Un1/2020.
The deadline for applications is 31 May 2020.
Based on your current searches we recommend the following search filters.
Based on your current search criteria we thought you might be interested in these.