UnweaveNet: Unweaving Activity Stories
Will Price, Carl Vondrick, Dima Damen
Abstract
Our lives can be seen as a complex weaving of activities; we switch from one activity to another, to maximise our achievements or in reaction to demands placed upon us. Observing a video of unscripted daily activities, we parse the video into its constituent activity threads through a process we call unweaving. To accomplish this, we introduce a video representation explicitly capturing activity threads called a thread bank, along with a neural controller capable of detecting goal changes and continuations of past activities, together forming UnweaveNet. We train and evaluate UnweaveNet on sequences from the unscripted egocentric dataset EPIC-KITCHENS. We propose and showcase the efficacy of pretraining UnweaveNet in a self-supervised manner.
BibTeX
@inproceedings{cvpr2022_unweavenetunweav,
title = {UnweaveNet: Unweaving Activity Stories},
author = {Will Price and Carl Vondrick and Dima Damen},
booktitle = {CVPR 2022},
year = {2022}
}