Artificial Intelligence (AI) has the potential to revolutionise how we live, work, learn, discover and communicate. Advances in AI are being made possible through new technologies which can make sense of vast amounts of real-life data in real time. Whether it’s making the internet safer or identifying potential threats in a crowd, multiview learning plays an important role in most practical applications where multiple sensors are required for information collection.
Professor Dacheng Tao, recognised as one of the world’s leading experts in artificial intelligence, is taking multiview learning from theory to practice across a wide range of robotics, neuroscience, medical informatics and video surveillance research projects.
In facial recognition software, where detection, enhancement, key point localisation and final recognition are involved, Professor Tao’s work has obtained human level performance for video-based recognition, significantly improving accuracy and performance. This will safeguard Australia by providing warnings for hazardous situations such as overcrowding and accidents, as well as criminal and terrorist activity.
Our researchers are also making the early detection of cyberbullying on social media a reality using an interactive mining system which brings together conversational text, time-variant changes and user profiles for a large number of participants in a complex network.
Looking to the future, domestic robots which perform everyday tasks are closer than you might think. Professor Tao’s work with robotics giant UBTECH is already enabling robots to mimic human actions using video.
See how we're redefining possible in other areas of research.