Discovery Early Career Researcher Award - Grant ID: DE190100626

Funding Activity

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Funded Activity Summary

Towards data-efficient future action prediction in the wild. This project aims to build state-of-the-art deep learning models to predict future actions in videos. The project expects to produce the next great step for machine intelligence, the potential to explore a handful of labelled examples to better understand, interpret and infer human actions. Expected outcomes of this project lay theoretical foundations for learning future action prediction in the wild scenario and build the next generation of intelligent systems to accommodate limited supervision. This should benefit science, society, and the economy nationally through the applications of autonomous vehicles, sensor technologies, and cybersecurity.

Funded Activity Details

Start Date: 01-05-2019

End Date: 31-12-2023

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $393,000.00

Funder: Australian Research Council