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.


Biography: 

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.

About DICTA

The International Conference on Digital Image Computing: Techniques and Applications (DICTA) is the flagship 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).

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