video understanding

TL;DR – This work uses the features from the motion taxonomy to improve action recognition on egocentric videos from the EPIC-KITCHENS dataset. This is done by integrating motion code detection for action sequences.

TL;DR – This work leverages functional object-oriented networks and deep learning for video understanding. In addition, with the deep network framework, we jointly recognize object and action types, which can then be used for constructing new FOON structures.