We address the fundamental questions that arise when the size of the problem becomes huge and when the task is […]
This project aims to segment objects and infer scene layout from images and videos. We have designed a state-of-the-art examplar-based approach […]
Tracking objects in videos is a challenging and fundamental problem in computer vision. The objects can have changes in appearance […]
In this project, we aim at developing algorithms to estimate a depth map from a single image or a dynamic […]
The aim of this project is to recover an unblurred image and a point spread function from a single blurred […]
In 2004, there were 50,000 people legally blind in Australia, with numbers expected to increase to 87,000 by 2024 with […]
Conventional human activity recognition (HAR) relies on accelerometers to frequently sample human motion (acceleration). Unfortunately, power consumption of accelerometers becomes […]
We are involved in the design of highly reliable distributed wireless networks for disaster response: Ensuring high quality, long-lifetime communications […]
As the need for optimisation technology increases, it is essential to lower the barrier of entry to using this technology. […]
