BLOGS WEBSITE
Category: Machine Learning
ACVT has strong capabilities in the field of machine learning and is developing new techniques and applying them to a range of diverse problem spaces. For example, work is underway in the area of automatic feature extraction and classification from satellite and aerial imagery using a supervised machine learning system. Of key importance is the development of robust classifiers and an associated framework by which to apply them to geospatial data. ACVT is also working on entity extraction and resolution from unstructured data sources. This involves the development of unsupervised clustering techniques which are able to be applied on a massive scale.
ACVT working with the Motor Accident Commission to improve Cycling Safety
ACVT is working with the South Australian Motor Accident Commission (MAC) with the aim of improving the safety of cyclists. A project commencing shortly will focus on developing software to enable the MAC to analyse imagery to evaluate the visibility of cyclists under a range of conditions. A key goal for the project is to […]
Comments Off on ACVT working with the Motor Accident Commission to improve Cycling Safety
Computational infrastructure for machine learning in computer vision (LE130100156)
ACVT has been awarded an ARC LIEF Grant valued at $210,000. The funding will facilitate the acquisition of equipment and infrastructure to support the ACVTs work in Machine Learning. The CIs on the project are Prof. Anton van den Hengel, Prof. Ian Reid, Prof. David Suter, Dr Anthony Dick and Dr Chunhua Shen. Machine learning […]
Comments Off on Computational infrastructure for machine learning in computer vision (LE130100156)
ARC Success! Congratulations to Anton van den Hengel, Ian Reid, Anthony Dick, TJ Chin, Chunhua Shen and David Suter!
Congratulations to Anton van den Hengel, Ian Reid, Anthony Dick, TJ Chin, Chunhua Shen and David Suter! Well done on the following ARC 2013 grants that were recently awarded: Prof Ian Reid and Dr Anthony Dick have secured $358,000 of ARC funding over the next three years for the below DP: Title: Recognising and reconstructing […]
Comments Off on ARC Success! Congratulations to Anton van den Hengel, Ian Reid, Anthony Dick, TJ Chin, Chunhua Shen and David Suter!
ACVT research being applied to solve "Big Data" problems
The ACVT has been awarded two contracts to work with the Defence Systems Innovation Centre (DSIC) in the area of Big Data. Big Data Intelligence Platform: Defence and Intelligence agencies are faced with an ever-increasing amount of incoming data. The ability to extract actionable intelligence from this data, whilst using limited manpower, will require new […]
Comments Off on ACVT research being applied to solve "Big Data" problems
Scalable classification for massive datasets: randomized algorithms (LP120200485)
ACVT has been awarded a 3 year ARC Linkage Grant valued at $510,000. The industry partner on the grant is LBT Innovations, an SA based biomedical company. The CIs on the project are Prof. Anton van den Hengel, Dr Chunhua Shen and Dr Qinfeng Shi. Classification is a fundamental data analysis technology and is applied […]
Comments Off on Scalable classification for massive datasets: randomized algorithms (LP120200485)
Continuously learning to see (FT120100969)
Dr Chunhua Shen of the ACVT has been awarded a 4 year ARC Future Fellowship grant valued at $644,671. The ultimate goal of computer vision is to make a machine able to understand the world through analysis of images or videos. The new machine learning techniques developed in this project will enable previously impossible methods […]
Comments Off on Continuously learning to see (FT120100969)
DSIC Scholarship for Lachlan Fleming
The Defence Systems Innovation Centre (DSIC) has just awarded Lachlan Fleming, an ACVT PhD student, a scholarship. Well done Lachlan.
Comments Off on DSIC Scholarship for Lachlan Fleming
Two papers in the latest PAMI
ACVT researchers have 2 articles in the latest IEEE Transactions on Pattern Analysis and Machine Intelligence from April 2012 (vol. 34 no. 4). PAMI is the best journal in the field. The papers are; Accelerated Hypothesis Generation for Multistructure Data via Preference Analysis, Tat-Jun Chin, Jin Yu, David Suter,http://doi.ieeecomputersociety.org/10.1109/TPAMI.2011.169 UBoost: Boosting with the Universum, Chunhua Shen, Peng […]
Comments Off on Two papers in the latest PAMI
Learning to see in 3D (DP120101172)
ACVT has been awarded a 3 year ARC Discovery Grant valued at $330,000. The CIs on the project are Prof. Anton van den Hengel and Dr Anthony Dick. The aim of this project is to collect and analyse a large collection of digital images and their associated depth maps, in order to formulate a method […]
Comments Off on Learning to see in 3D (DP120101172)
Compressive Sensing Based Probabilistic Graphical Models (DE120101161)
Dr Qinfeng Shi of the ACVT has been awarded a 3 year ARC DECRA Grant valued at $375,000. Probabilistic Graphical Models (PGMs) use graphs to represent the interactions between random variables and provide a formalism by which to represent complex probabilistic relationships. Despite the success of PGMs in many fields, the learning on real industrial […]
Comments Off on Compressive Sensing Based Probabilistic Graphical Models (DE120101161)
