Artificial intelligence is able to respond to a variety of verbal questions, but it cannot see the world around it and answer interesting questions about visual environments. Dr Qi Wu is working on the problem of Visual Question Answering, which requires a machine to answer questions that are related to images and videos.
Qui has developed one of the most impact artificial intelligent algorithms called ‘common-sense VQA’ that leverages the most advanced techniques in computer vision, natural language processing and knowledge representation to answer these visual questions.
Qi Wu is a member of the School of Computer Science Outreach team. His role is to host events and activities for visiting secondary school students that attract and encourage them to study computer science subjects. He has organised the Young Women in Technology (YWIT) event in 2018 and 2019, reaching 250 students from 12 schools and the SACE Aboriginal Student Pathways Conference 2018, reaching 150 students.
Dr Wu was a awarded his PhD in 2015 at the University of Bath (UK). He is currently a senior lecturer at the University of Adelaide, and the Director of Vision-and-Language in the Australian Institute of Machine Learning.
Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing