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Machine learning for visual recognition

This research project aims to develop new machine learning methods for various visual recognition tasks such as object/scene recognition, face and human gait recognition, activity r more...

Supervisor(s): Xu, Dong (Professor)

Scalable vision machines

NICTA has established a project with a goal of developing technology to map high level descriptions of computer vision algorithms to heterogeneous parallel hardware architectures. T more...

Supervisor(s): Leong, Philip (Professor), Jin, Craig (Associate Professor), McEwan, Alistair (Professor)

Automatic Image Content Annotation

This project is to attach meaningful labels to images by investigating novel machine learning techniques to facilitate visual information management. more...

Supervisor(s): Feng, David (Professor), Wang, Zhiyong (Dr)

Signal processing in the visual system

Research in my laboratory focuses on signal processing in the visual system. I use three methodologies - computational modelling, the analysis of existing neuronal data, and human p more...

Supervisor(s): Freeman, Alan (Dr)

Data Management for Automated Identification and Classification of Plant Images

This project will apply both image processing and machine learning techniques to build an intelligent plant management system. more...

Supervisor(s): Feng, David (Professor), Wang, Zhiyong (Dr)

Automatic Video Content Annotation

This project is to attach meaningful labels to videos by investigating novel video content analysis and machine learning techniques to facilitate visual information search. more...

Supervisor(s): Feng, David (Professor), Wang, Zhiyong (Dr)

Multimodality Medical Image Segmentation

Automated delineation of tissues, organs and hot-spot volumes from medical images by adaptively using the complementary information from multiple imaging modalities more...

Supervisor(s): Feng, David (Professor), Xia, Yong (Dr)

Medical Image Mining for Computer-Aided Diagnosis

Identification of valid, novel, potentially useful, and ultimately understandable pathologic patterns in large-scale medical image archives for computer-aided diagnosis more...

Supervisor(s): Feng, David (Professor), Xia, Yong (Dr)

Semantic Multimedia Information Retrieval

This project is to devise novel approaches for multimedia information retrieval to further advance the capabilities of visual information search. more...

Supervisor(s): Feng, David (Professor), Wang, Zhiyong (Dr)

Functional Brain Image Understanding for Differential Diagnosis of Dementia

Intelligent analysis of functional brain images and extraction of pathologic patterns from large-group study for early diagnosis of dementia types more...

Supervisor(s): Feng, David (Professor), Xia, Yong (Dr)