Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global com ....Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global competitiveness. Expected outcomes of this project will help to break the communication barriers between the Deaf and hearing population. This should provide significant benefits to Deaf communities through enhanced communication and improved quality-of-life, leading to a fair, more inclusive and resilient Australian society.Read moreRead less
Identifying genes that influence clinical course and susceptibility in multiple sclerosis. This project aims to identify the genetic basis of multiple sclerosis (MS), the most common neurologic disease in young Australian adults. MS urgently needs research to identify predisposition, aid early diagnosis and provide bona fide molecular targets for new therapies. This will benefit people with MS and those susceptible to it. Crucial new knowledge identified will benefit other major areas of MS rese ....Identifying genes that influence clinical course and susceptibility in multiple sclerosis. This project aims to identify the genetic basis of multiple sclerosis (MS), the most common neurologic disease in young Australian adults. MS urgently needs research to identify predisposition, aid early diagnosis and provide bona fide molecular targets for new therapies. This will benefit people with MS and those susceptible to it. Crucial new knowledge identified will benefit other major areas of MS research including epidemiology, immunology and neurobiology. Collaboration of 8 major Australian institutions is also important for this project and future studies. The team will have access to a new national MS GeneBank (platform) with samples from 2240 patients that should generate findings important to world-wide MS genetic knowledge.Read moreRead less
Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing ....Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing the human contact with animals are of high priority in the development of this Australian-led emerging industry. The project aims to develop technology to bring this world- first aquaculture factory to large scale production, and create new export opportunities for lobsters and production systems.Read moreRead less
A Novel Automatic Neural Network Feature Extractor. This project aims to study feature extraction abilities of convolutional as well as traditional neural networks and develop a generic feature extractor which can be applied to wide variety of real-world image and non-image data. New concepts for automatic feature extraction, feature explanation, hybrid evolutionary algorithms and non-iterative ensemble learning will be introduced and evaluated. The expected outcomes are a generic feature extrac ....A Novel Automatic Neural Network Feature Extractor. This project aims to study feature extraction abilities of convolutional as well as traditional neural networks and develop a generic feature extractor which can be applied to wide variety of real-world image and non-image data. New concepts for automatic feature extraction, feature explanation, hybrid evolutionary algorithms and non-iterative ensemble learning will be introduced and evaluated. The expected outcomes are a generic feature extractor for automatically extracting features, an optimiser for finding optimal parameters and non-iterative ensemble learning technique for classification of features into classes. The impact of this project will be automatic feature extractors and classifiers for real-world applications.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100319
Funder
Australian Research Council
Funding Amount
$372,000.00
Summary
Fast three-dimensional imaging of neural signal propagation using light-field microscopy. This project aims to use a light-field microscope to reveal the dynamics of sustained neural activity in the brain. The brain’s neurons are highly interconnected, so neural signals can be sustained in a repeating cycle. While this may underlie tasks such as working memory, its role in information processing is unclear. Understanding information processing is vital for finding treatments for neurodegenerativ ....Fast three-dimensional imaging of neural signal propagation using light-field microscopy. This project aims to use a light-field microscope to reveal the dynamics of sustained neural activity in the brain. The brain’s neurons are highly interconnected, so neural signals can be sustained in a repeating cycle. While this may underlie tasks such as working memory, its role in information processing is unclear. Understanding information processing is vital for finding treatments for neurodegenerative disorders. To characterise this large-scale aspect of neural computation, this project measures neural activity at high speed across large numbers of neurons. This is expected to provide evidence of the nature of sustained activity which may in the future lead to treatments for neurodegenerative disorders.Read moreRead less
ARC Centre of Excellence - Vision Science. This Centre will generate important new knowledge of the performance, logic and stability of vision and visual behaviour. This knowledge will help reduce the burden of vision impairment in Australia, increasing productivity, promoting healthy ageing and reducing the community costs of visual impairment (ca. $9.85 billion in 2004). The knowledge produced will also make possible world-class innovations in robotics, leading to novel automated vision system ....ARC Centre of Excellence - Vision Science. This Centre will generate important new knowledge of the performance, logic and stability of vision and visual behaviour. This knowledge will help reduce the burden of vision impairment in Australia, increasing productivity, promoting healthy ageing and reducing the community costs of visual impairment (ca. $9.85 billion in 2004). The knowledge produced will also make possible world-class innovations in robotics, leading to novel automated vision systems with applications in industry and national security. Other knowledge will develop novel diagnostic technologies, for application in health delivery.Read moreRead less
Lifelong robotic navigation using visual perception. Service robots are becoming a major part of our working and personal environments, in much the same way as personal computers already have. This project will develop new methods of practical and useful robot navigation that will enable Australia's industries and services to remain internationally competitive.
Discovery Early Career Researcher Award - Grant ID: DE120102948
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Interactive computer vision for image interpretation. This project aims at pushing forward the fundamental research in interactive computer vision. The outcome of this project will enable reliable and efficient solutions to real world image interpretation tasks, such as medical image analysis, financial document processing, and impact evaluation from natural disasters.
Airports of the Future. This project will enhance the capabilities of Australian airport operators to design and manage complex airport systems. Research outcomes will enable the identification of patterns of behaviour and will provide tools to manage airport effectiveness and balance conflicting security, economic and passenger-driven pressures. Outcomes will improve productivity, enhance capabilities for critical infrastructure protection, and lessen the cost of mandated security, estimated t ....Airports of the Future. This project will enhance the capabilities of Australian airport operators to design and manage complex airport systems. Research outcomes will enable the identification of patterns of behaviour and will provide tools to manage airport effectiveness and balance conflicting security, economic and passenger-driven pressures. Outcomes will improve productivity, enhance capabilities for critical infrastructure protection, and lessen the cost of mandated security, estimated to grow to $152M by 2010 for the five major Australian airports. The deliverables of this project will be transferable to other complex socio-technical systems providing the potential to transform a range of Australian critical infrastructure and transportation hubs.Read moreRead less
ARC Research Network for Enabling Human Communication. The Human Communication Network promotes interdisciplinary research in speech, language, and sound by and between humans and machines. The network connects leading and emerging researchers across disciplines, exploits previously unrecognised intersections, supports interdisciplinary graduate training and exchanges, provides database storage infrastructure, and consults with industry and government to set, not follow, research agendas. By ge ....ARC Research Network for Enabling Human Communication. The Human Communication Network promotes interdisciplinary research in speech, language, and sound by and between humans and machines. The network connects leading and emerging researchers across disciplines, exploits previously unrecognised intersections, supports interdisciplinary graduate training and exchanges, provides database storage infrastructure, and consults with industry and government to set, not follow, research agendas. By generating an explosion of new approaches and knowledge, the network will build Australia's reputation as a leader in communication science and technology via advances in automatic speech recognition, distress call monitoring, hearing prostheses, web interfaces, and data retrieval and data mining systems.Read moreRead less