Discovery Projects - Grant ID: DP210102674

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP210102674

Funding Status
Active

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Funded Activity Summary

Fine-grained Human Action Recognition with Deep Graph Neural Networks. This project aims to develop novel graph neural network based deep learning algorithms for fine-grained human action recognition. This project expects to bring human action analysis to the next level and to significantly advance the analysis of subtle yet complex human actions. Expected outcomes of this project include theoretical advances on graph representation based deep learning algorithms for spatial-temporal data, and enabling techniques for more objective human action analysis in many domains such as sports and health. This should provide significant benefits to any application domain involving big and complex spatial-temporal data for finer analytics and better knowledge discovery.

Funded Activity Details

Start Date: 01-01-2021

End Date: 31-12-2023

Funding Scheme: Discovery Projects

Funding Amount: $444,416.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Pattern Recognition and Data Mining | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Information Processing Services (incl. Data Entry and Capture) |

Other Keywords

Artificial Intelligence and Image Processing | Expanding Knowledge in the Information and Computing Sciences | Information Processing Services (incl. Data Entry and Capture) | Pattern Recognition and Data Mining

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