Context modelling for human action recognition and anticipation

Qiuhong Ke

The University of Melbourne

Human action analysis, including action recognition and anticipation, is very important in a wide range of real-world applications such as visual surveillance, self-driving system and human-robot interaction. In this talk, I will introduce three of my previous works on context modelling for human action recognition and anticipation. The first work is about spatial-temporal context modelling for action recognition. The second work is about global context modelling for early action recognition. The last work is about time-conditioned context modelling for action anticipation.


Dr. Qiuhong Ke received her PhD degree from The University of Western Australia in 2018. She is currently a Lecturer at The School of Computing and Information Systems of The University of Melbourne. She was a Postdoctoral Researcher in Max Planck Institute for Informatics from 2018 to 2019. Her research interests include action recognition and prediction.