Exploring Botanic Gardens Herbarium's value, via Environmental Aesthetics. . The project aims to aesthetically redefine engagement with the plant collection at Royal Botanic Gardens Herbarium (RBG) Sydney and to communicate its artistic, cultural and heritage value to the public through a Public Program of creative arts case studies. It's expected that new insights will arise from an environmental art methodology utilising the digitisation of the Herbarium specimens, so that audiences can intera ....Exploring Botanic Gardens Herbarium's value, via Environmental Aesthetics. . The project aims to aesthetically redefine engagement with the plant collection at Royal Botanic Gardens Herbarium (RBG) Sydney and to communicate its artistic, cultural and heritage value to the public through a Public Program of creative arts case studies. It's expected that new insights will arise from an environmental art methodology utilising the digitisation of the Herbarium specimens, so that audiences can interactively experience the plant archive through narratives that activate plants as underpinning ecosystems. Benefits to partners RBG, Bundanon Trust and Open Humanities Press will include the digital expansion of audience engagement with the Herbarium at RBG and Mt Annan and communication of collection’s significance.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
Transforming rehearsal design using an interactive spatial aesthetic. The Project aims to investigate an interactive spatial aesthetic that facilitates modelling of operatic rehearsal design. It will do this through application of an experimental artistic system that reshapes concepts of spatial design through collaborative interaction between creative teams and digital systems. It demonstrates how creatives can immersively design a rehearsal in real time at up to 1:1 scale, assisted by an evolv ....Transforming rehearsal design using an interactive spatial aesthetic. The Project aims to investigate an interactive spatial aesthetic that facilitates modelling of operatic rehearsal design. It will do this through application of an experimental artistic system that reshapes concepts of spatial design through collaborative interaction between creative teams and digital systems. It demonstrates how creatives can immersively design a rehearsal in real time at up to 1:1 scale, assisted by an evolving database. It transforms our understanding of rehearsal design and the way it can be aesthetically explored, with outcomes that optimise and streamline design processes in the performing arts industry.Read moreRead less
Ambitious and Fair: Strategies for a sustainable visual arts sector. This project aims to strengthen the visual art industry’s economic ecosystem. In a context where artists’ incomes are low and falling, commercial galleries are financially vulnerable and public galleries face funding challenges, the project addresses barriers to the sector’s economic health and the challenge of improving artists’ incomes. To address this critical gap, the project will combine an analysis of current value chains ....Ambitious and Fair: Strategies for a sustainable visual arts sector. This project aims to strengthen the visual art industry’s economic ecosystem. In a context where artists’ incomes are low and falling, commercial galleries are financially vulnerable and public galleries face funding challenges, the project addresses barriers to the sector’s economic health and the challenge of improving artists’ incomes. To address this critical gap, the project will combine an analysis of current value chains and emergent forms of economic organisation with qualitative insights into the experiences of artists and arts professionals. It will propose interventions for arts industry and government policy to improve and develop this ecosystem. Benefits include improved incomes for arts workers and a sustainable arts industry.Read moreRead less
memorySCAPE: the commemoration of war using a database narrative framework. This project aims to develop an innovative interactive war archive using an intelligent database narrative framework. The framework will be experimentally applied to transform the display of the Australian War Memorial’s Afghanistan collection. It aims to demonstrate how users can interactively organise, explore and interconnect a digital material related to the experiences of defence force personnel. The project is expe ....memorySCAPE: the commemoration of war using a database narrative framework. This project aims to develop an innovative interactive war archive using an intelligent database narrative framework. The framework will be experimentally applied to transform the display of the Australian War Memorial’s Afghanistan collection. It aims to demonstrate how users can interactively organise, explore and interconnect a digital material related to the experiences of defence force personnel. The project is expected to furnish the Australian War Memorial with a comprehensive legacy system for managing intelligent collections that can efficiently analyse, catalogue and deploy its Afghanistan material. It is also expected to reformulate commemoration as a dynamic dialogue between visitors and memorial archives. Read moreRead less
Art and Cultural Exchange at the Strait of Gibraltar. The project aims to give a first-time analysis of visual culture at the Strait of Gibraltar. It asks how painting, photography, film, and maps relate to colonial expansion, with a focus on Australian, French and Spanish involvement in the Western Mediterranean. The British fortress-colony of Gibraltar and the international Moroccan port of Tangier have never before been subject to comparative analysis. Key outcomes include two major exhibit ....Art and Cultural Exchange at the Strait of Gibraltar. The project aims to give a first-time analysis of visual culture at the Strait of Gibraltar. It asks how painting, photography, film, and maps relate to colonial expansion, with a focus on Australian, French and Spanish involvement in the Western Mediterranean. The British fortress-colony of Gibraltar and the international Moroccan port of Tangier have never before been subject to comparative analysis. Key outcomes include two major exhibitions, one on Australian Orientalism at the National Gallery and the second on historical art in the region. By shedding historical light on people smuggling, contraband and post-Brexit identity at the Strait, the project aims to generate cultural knowledge pertinent to international co-operation.Read moreRead less
Automatic Training Data Search and Model Evaluation by Measuring Domain Gap. We aim to investigate computer vision training data and test data, using automatically generated data sets for facial expression recognition and object re-identification. This project expects to quantify and understand the domain gap, the distribution difference between training and test data sets. Expected outcomes of this project are insights on measuring the domain gap, the ability to estimate model performance witho ....Automatic Training Data Search and Model Evaluation by Measuring Domain Gap. We aim to investigate computer vision training data and test data, using automatically generated data sets for facial expression recognition and object re-identification. This project expects to quantify and understand the domain gap, the distribution difference between training and test data sets. Expected outcomes of this project are insights on measuring the domain gap, the ability to estimate model performance without accessing expensive test labels and improvements to system generalisation. This should provide significant benefits for computer vision applications that currently require expensive labelling, and commercial and economic benefits across sectors such as transportation, security and manufacturing.Read moreRead less
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
Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored ....Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored to individual characteristics. The success of this project could significantly advance the fundamental research in image analysis. Expected outcomes include new knowledge and algorithms for image analysis, which could benefit fields like biology and archaeology, where labeled images are hard to attain and scarce.Read moreRead less
Integrated Planning for Uncertainty-Centric Pilot Assistance Systems. This project aims to deliver a novel pilot assistance system to improve the viability, speed and safety of Helicopter Emergency Medical Services (HEMS) and Search and Rescue (SAR) missions. It will advance fundamental algorithms for probabilistic planning in partially observable scenarios to form the core technology of a pilot assistance system that accounts the various types of uncertainty faced by pilots in a typical HEMS/S ....Integrated Planning for Uncertainty-Centric Pilot Assistance Systems. This project aims to deliver a novel pilot assistance system to improve the viability, speed and safety of Helicopter Emergency Medical Services (HEMS) and Search and Rescue (SAR) missions. It will advance fundamental algorithms for probabilistic planning in partially observable scenarios to form the core technology of a pilot assistance system that accounts the various types of uncertainty faced by pilots in a typical HEMS/SAR missions. It will exploit recent advances in Partially Observable Markov Decision Processes (POMDPs) to recommend robust, safe, and pilot-aware mission and manoeuvring strategies to make HEMS/SAR operations safer for helicopter crews, and more effective for those in need of the service.Read moreRead less