Envisaging Citizenship: Australian Histories and Global Connections. This project aims to investigate the ways that visual images have defined, contested and advanced ideas of Australian citizenship and rights from European settlement to the present. Responding to the lack of a shared mainstream understanding of Australian citizenship, it looks beyond legal definitions to explore cultural and especially visual views of citizenship over time. Through collaboration with museum, media and education ....Envisaging Citizenship: Australian Histories and Global Connections. This project aims to investigate the ways that visual images have defined, contested and advanced ideas of Australian citizenship and rights from European settlement to the present. Responding to the lack of a shared mainstream understanding of Australian citizenship, it looks beyond legal definitions to explore cultural and especially visual views of citizenship over time. Through collaboration with museum, media and education sectors, it will provide a forward-looking and accessible public history, and utilise the potential of images to broaden contemporary debates about citizenship. Expected outcomes include a better public understanding of the pathways to citizenship, and enhanced engagement with Australian values and identity.Read moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
Representation of gender and sexual diversity in Australian film and television. This project aims to investigate the cultural, health and identity impact of gender/sexually-diverse characters, themes and narratives in Australian film and television from 1990 to present. The project expects to generate new knowledge by providing the first comprehensive account of Australian media production’s contribution to sexual minority representation, in the context of its importance for fostering healthy i ....Representation of gender and sexual diversity in Australian film and television. This project aims to investigate the cultural, health and identity impact of gender/sexually-diverse characters, themes and narratives in Australian film and television from 1990 to present. The project expects to generate new knowledge by providing the first comprehensive account of Australian media production’s contribution to sexual minority representation, in the context of its importance for fostering healthy identities, and acceptance of minorities to mainstream audiences in a digital media era. This knowledge will provide significant benefit to the mental health, wellbeing and social harmony for both minority and mainstream Australians and help showcase an important aspect of Australian media inclusivity and diversity in international scholarship.Read moreRead less
In-vivo functional imaging of cone photoreceptors and ganglion cell axons. Can we project a movie on a human retina, and measure the response of photoreceptor cells and connected nerve tissue? This project aims to investigate a new method for visualization of the quickest responses in human cone photoreceptors and nerve cells after a visible stimulus. Expected outcomes of this project include a better understanding of the origins of responses to a stimulus and how cells in the retina communicate ....In-vivo functional imaging of cone photoreceptors and ganglion cell axons. Can we project a movie on a human retina, and measure the response of photoreceptor cells and connected nerve tissue? This project aims to investigate a new method for visualization of the quickest responses in human cone photoreceptors and nerve cells after a visible stimulus. Expected outcomes of this project include a better understanding of the origins of responses to a stimulus and how cells in the retina communicate. The scientific results will be helpful in a better understanding of the development of vision in the infant eye, to study peripheral vision in elite athletes and to quantify performance of virtual reality equipment for the military. The IP on the technology can be licensed or used for start-up company.Read moreRead less
Heritage in the limelight: the magic lantern in Australia and the world. The project aims to discover and analyse the large number of glass magic lantern slides that remain under-used in our public collections. International scholarship has recently begun to show that lantern slide shows were a ubiquitous, globalised and formative cultural experience. The project aims to explore the international reach and diversity of this globalised modernist apparatus from the Australian perspective. It plans ....Heritage in the limelight: the magic lantern in Australia and the world. The project aims to discover and analyse the large number of glass magic lantern slides that remain under-used in our public collections. International scholarship has recently begun to show that lantern slide shows were a ubiquitous, globalised and formative cultural experience. The project aims to explore the international reach and diversity of this globalised modernist apparatus from the Australian perspective. It plans to understand how diverse audiences affectively experienced these powerful forms of early media, and to develop ways for today’s Australians to re-experience their magic, invigorating and expanding our cultural heritage.Read moreRead less
Robust and Explainable 3D Computer Vision. Computer vision is increasingly relying on deep learning which is fragile, opaque and fails catastrophically without warning. This project aims to address these problems by developing new theory in graph representation of 3D geometric and image data, hierarchical graph simplification and novel modules designed specifically for deep learning over geometric graphs. Using these modules, it aims to design graph convolutional network architectures for self-s ....Robust and Explainable 3D Computer Vision. Computer vision is increasingly relying on deep learning which is fragile, opaque and fails catastrophically without warning. This project aims to address these problems by developing new theory in graph representation of 3D geometric and image data, hierarchical graph simplification and novel modules designed specifically for deep learning over geometric graphs. Using these modules, it aims to design graph convolutional network architectures for self-supervised learning that are robust to failures and provide explainable decisions for object detection and scene segmentation. The outcomes are expected to advance theory in robust deep learning and benefit 3D mapping, surveying, infrastructure monitoring, transport and robotics industries.Read moreRead less
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 e ....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.Read moreRead less
Shape4D: Modelling the Spatiotemporal Deformation Patterns in 3D Shapes. This research will develop new mathematical methods and algorithms that will enable the use of population-level longitudinal studies to model the spatial and temporal deformation patterns in 3D biological objects. Using novel geometric and deep learning techniques, it will create new methods that will allow the characterization of how the 3D shape of objects deforms with ageing, disease progression and interaction with thei ....Shape4D: Modelling the Spatiotemporal Deformation Patterns in 3D Shapes. This research will develop new mathematical methods and algorithms that will enable the use of population-level longitudinal studies to model the spatial and temporal deformation patterns in 3D biological objects. Using novel geometric and deep learning techniques, it will create new methods that will allow the characterization of how the 3D shape of objects deforms with ageing, disease progression and interaction with their environment, and the simulation of spatiotemporal deformations in anatomical organs. Benefits include a better understanding of growth processes, predictive models of how degenerative diseases progress and a computational framework that will assist in designing proper mitigation and intervention strategies.Read moreRead less
Tensor and Hypergraph Methods in Fitting Visual Data. This proposal will put an important class of clustering (extracting data that should fit a geometric model) on a more solid theoretical foundation. This will lead to better understanding of how to certify outcomes, efficiency, reliability etc. The type of clustering under consideration is relevant to many problems in machine learning and computer vision, as well as data mining and a wide variety of other settings.
Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed ....Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed methodology enables quantification of confidence in the predictions. This will provide ship owners, directly to their vessels and/or at the fleet management centres, information such as weather reports, reliable collision/no-collision warnings and avoidance strategies, on-the-fly. Read moreRead less