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
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
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.
Solve it or Ignore it? The Challenge of Alignment Distortion and Creating Next Generation Automatic Facial Expression Detection. The last two decades have seen an escalating interest in automating the coding of facial expressions. Despite this keen interest, the promise of computer vision systems to accurately code facial expressions in natural circumstances remains elusive. Our interdisciplinary team will research a new paradigm to account for facial alignment distortion directly rather than ai ....Solve it or Ignore it? The Challenge of Alignment Distortion and Creating Next Generation Automatic Facial Expression Detection. The last two decades have seen an escalating interest in automating the coding of facial expressions. Despite this keen interest, the promise of computer vision systems to accurately code facial expressions in natural circumstances remains elusive. Our interdisciplinary team will research a new paradigm to account for facial alignment distortion directly rather than aiming to achieve invariance to it. The project will also research new data agnostic feature compaction capabilities to enable scalable learning on the world’s largest and challenging expression dataset available to us through international collaboration. Tackling these two major open problems will make accurate coding of facial expressions in natural environments achievable.Read moreRead less
Building on rural knowledges to unlock the potential of rural students. This project aims to advance understanding of the distinctive knowledges that rural students bring to school and develop teaching practices that build on these rural knowledges to unlock the potential of this significant student population. The project involves collaborating with rural primary schools, teachers, students and communities to identify rural knowledges, study classroom practices in detail, and develop sustainabl ....Building on rural knowledges to unlock the potential of rural students. This project aims to advance understanding of the distinctive knowledges that rural students bring to school and develop teaching practices that build on these rural knowledges to unlock the potential of this significant student population. The project involves collaborating with rural primary schools, teachers, students and communities to identify rural knowledges, study classroom practices in detail, and develop sustainable teaching practices that help students connect rural knowledges and school knowledge. Expected outcomes include a framework of place-based teaching practices and resources that will benefit rural schooling, teacher education, and the education of communities crucial to the nation’s future wealth and welfare.Read moreRead less
Omniscient face recognition for uncooperative subjects. The outcomes of this project will enable effective video surveillance technology to be developed for use by law enforcement and national security agencies. It will lead to reliable identification of humans at a distance by automatically detecting and recognising faces, for use in counter-terrorism surveillance and commercial robot-human interfaces.
Social, economic and health vulnerabilities in Indonesia. This project aims to study and provide ways to overcome vulnerability in Indonesia. Half the Indonesian population is still clustered around the poverty line, contributing to their vulnerability. This project will identify vulnerable groups and why they are vulnerable. Using a common framework of the life course in eight Indonesian field sites, this project will investigate whether social networks and welfare programs reduce vulnerability ....Social, economic and health vulnerabilities in Indonesia. This project aims to study and provide ways to overcome vulnerability in Indonesia. Half the Indonesian population is still clustered around the poverty line, contributing to their vulnerability. This project will identify vulnerable groups and why they are vulnerable. Using a common framework of the life course in eight Indonesian field sites, this project will investigate whether social networks and welfare programs reduce vulnerability, and pinpoint strategies for reducing vulnerabilities in the future. The project expects to show how vulnerable citizens in Indonesia can be made more secure, helping to build a more stable and prosperous region.Read moreRead less
Aboriginal outcomes from land claims, transfers and purchases in central Cape York Peninsula. Description and analysis of current land-ownership and land-use outcomes amongst Aboriginal people on Cape York Peninsula, moving away from a common emphasis on traditional land-ownership to focus on emergent forms of use and interest resulting from the articulation of Aboriginal and 'mainstream' land tenure and property rights. The project aims to review the outcomes of land claims, transfers and purch ....Aboriginal outcomes from land claims, transfers and purchases in central Cape York Peninsula. Description and analysis of current land-ownership and land-use outcomes amongst Aboriginal people on Cape York Peninsula, moving away from a common emphasis on traditional land-ownership to focus on emergent forms of use and interest resulting from the articulation of Aboriginal and 'mainstream' land tenure and property rights. The project aims to review the outcomes of land claims, transfers and purchases for Aboriginal groups, particularly the current and likely future outcomes for the development of local Aboriginal society and economy, and the ways in which land ownership and land use outcomes meet or fail Aboriginal aspirations.Read moreRead less
What makes for successful numeracy education in remote Indigenous contexts: an ethnographic case study approach. There are many successful teachers and schools who have enabled remote Indigenous learners to engage with, and learn, school mathematics. But what do they do? How do they do it? This project investigates and documents successful practices in 32 schools located in remote communities. The project includes the many aspects of teaching practice.
Social and geographical location and its impact on mathematics teaching and learning. Too many students from poor urban backgrounds or from rural communities are at risk of underperforming in school mathematics. This project identifies the critical factors that contribute to this failure and seeks to develop improved practices to enable greater access to school mathematics.