dicta 2022

When: 30 Nov - 02 Dec 2022
Time: 8:45am
Location: Sydney, NSW | Online
DICTA 2022 banner

The International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2022 is the main Australian Conference on computer vision, image processing, pattern recognition, and related areas. DICTA was established in 1991 as the premier conference of the Australian Pattern Recognition Society (APRS).

The DICTA 2022 program includes a series of workshops which will be held on 29 November, the day before the main conference. Workshops include the DSTG workshop, Maritime Surveillance using Synthetic Aperture Imagery.

keynote speakers

Prof Philip Torr

philip torr

oxford university

Professor Philip Torr is a director of new Oxford based spin out OxSight, and Chief Scientific Advisor for Five AI.

He was elected Fellow of the Royal Academy of Engineering (FREng) in 2019, and Fellow of the Royal Society (FRS) in 2021 for contributions to computer vision. In 2021 he was made Turing AI world leading researcher fellow.

Prof Alan Yuille

alan yuille

johns hopkins university

Professor Alan L. Yuille is a Bloomberg Distinguished Professor of Cognitive Science and Computer Science at Johns Hopkins University.

He directs the research group on Compositional Cognition, Vision, and Learning. He is affiliated with the Center for Brains, Minds and Machines, and the NSF Expedition in Computing, Visual Cortex On Silicon.

Prof Anton van den Hengel

anton van den hengel

the university of adelaide

Professor Anton van den Hengel is the founding Director of The Australian Institute for Machine Learning, Australia’s largest machine learning research group, and on many measures its most successful.

He is also a Chief Investigator of the Australian Centre of Excellence in Robotic Vision, and a Professor of Computer Science at the University of Adelaide. 

Prof Hongdong Li

hongdong li

australian national university

Hongdong Li is a Professor in Computer Vision and Machine Learning at ANU.

His research interests include 3D computer vision, visual perception, 3D reconstruction and modelling, robot navigation and autonomous driving (self-driving cars), virtual and augmented reality (VR/AR), deep learning, and Artificial Intelligence in general.