Anthony Dick

Dr. Anthony Dick is an Associate Professor in the School of Computer and Mathematical Sciences at the University of Adelaide. He is affiliated with the Australian Institute for Machine Learning and the Australian Centre for Visual Technologies. His research focuses on computer vision, particularly visual tracking and 3D shape estimation. He explores applications in sports analytics (e.g., AFL player tracking), medical imaging, and visual question answering leveraging external knowledge sources. He is eligible to supervise PhD and Masters students in these areas.

Research interests include: 3D shape analysis, visual tracking algorithms, machine learning integration for imagery, and multimodal reasoning (combining vision and text). His work often addresses challenges in large-scale surveillance networks and automated image interpretation.

Publications span topics like neural network-based tracking, deep learning for set prediction, and benchmarking generative models. He has contributed to datasets such as Tenniset for event recognition in sports videos.

Affiliated with interdisciplinary teams like the Australian Centre for Visual Technologies, his research bridges academic and applied domains, with potential industrial applications in automated video analysis and medical diagnostics.