Cart
Create Account
Sign In
An ICRA 2020 Keynote from Cordelia Schmid. Recent progress in deep learning has significantly advanced the performance in understanding actions in videos. We start by presenting an approach for localizing spatio-temporally actions. We describe how action tublets result in state-of-the-art performance for action detection and show how modeling relations with objects and humans further improve the performance. Next we introduce an approach for behavior prediction for self-driving cars. We conclude by giving results how to use multi-modals information in video understanding.
