Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
in diverse, real-world environments. Both classical machine learning methods and deep learning techniques can be employed to tackle this task. This project aims to achieve several objectives: 1
-
primary liaison to support site engagement, issue resolution and project continuity Contribute to data quality, project reporting and administrative oversight, including financial tracking, meeting
-
, government and funding bodies. A track record of developing and delivering strategic solutions to complex challenges, with the ability to integrate new information, identify emerging trends, contribute
-
results in a broad range of indoor applications including emergency services, public services, in-store advertising, shopping, tracking, guided tours, and much more. In this project, we are interested in
-
videos to synchronize mouth movements with a provided audio track. Puppet-master deepfakes depict a target person (the puppet) whose facial expressions, eye movements, and head gestures mimic those
-
For over a century, X-rays have been used to visualise the internal structure of opaque objects, driving major breakthroughs in healthcare, industry, and scientific research. Conventional X-ray
-
with the costs of my studies, and helped me stay on track towards my career goals. Am I eligible? You must be one of the following: An Australian citizen A New Zealand citizen Australian permanent
-
data, such as temporal dependencies and lack of rich semantic make it challenging to leverage these models directly for time series tasks. Building upon our exisiting research [1], our objective is to
-
the power of LLMs to develop advanced computational methods for the detection and mitigation of misinformation and disinformation. More specific objectives are: To investigate the effectiveness of large
-
The primary objective of this project is to enhance Large Language Models (LLMs) by incorporating software knowledge documentation. Our approach involves utilizing existing LLMs and refining them