Different video understanding tasks are typically treated in isolation, and even with distinct
types of curated data (eg, classifying sports in one dataset, tracking animals in another) …

This technical report describes the EgoTask Translation approach that explores relations
among a set of egocentric video tasks in the Ego4D challenge. To improve the primary task …

Recently emerged Masked Video Modeling techniques demonstrated their potential by
significantly outperforming previous methods in self-supervised learning for video. However …

In this report, we present our approach and empirical results of applying masked
autoencoders in two egocentric video understanding tasks, namely, Object State Change …

Masked video autoencoder approaches have demonstrated their potential by significantly
outperforming previous self-supervised learning methods in video representation learning …