In this project you will research and develop novel algorithms that can ground vision language to real-world daily applications. This research project in Computer Vision, Visual Question Answering, and Vision-and-Language technology more broadly is developing and exploring 5 research themes:
- Integrating prior knowledge into vision-and-language with symbolic reasoning
- Explainable Visual Question Answering
- Vision-and-Language in the wild: causality, reliability and generalisability
- Fine-grained control of image2text and text2image generation
- Human-centred Vision-and-Language Navigation.
This Scholarship is within CAR RESEARCH THEME 2: Interactive Machine Learning. This is a standard 3-year scholarship with a possible 4-year scholarship available to suitable applicants to encourage students from other disciplines, especially women, who wish to undertake additional training in machine learning
methods. To find out more contact Dr Qi Wu at the Australian Institute for Machine Learning (AIML) to discuss.