Master’s Thesis Presentation • Artificial Intelligence • Self-supervised Video Representation Learning by Exploiting Playing Speediness Changes
Please note: This master’s thesis presentation will be given online.
Lizhe Chen, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Olga Veksler
In recent research, the self-supervised video representation learning methods have achieved improvement by exploring video’s temporal properties, such as playing speeds and temporal order. These works inspire us to exploit a new artificial supervision signal for self-supervised representation learning: the change of video playing speed.