In semi-supervised learning, student-teacher distribution matching has b...
Perceptual understanding of the scene and the relationship between its
d...
We investigate the visual cross-embodiment imitation setting, in which a...
Self-supervised learning algorithms based on instance discrimination tra...
We present an approach for estimating the period with which an action is...
Fully convolutional deep correlation networks are integral components of...
We introduce a self-supervised representation learning method based on t...
In this work we explore a new approach for robots to teach themselves ab...
A major impediment in rapidly deploying object detection models for inst...
We present a Deep Cuboid Detector which takes a consumer-quality RGB ima...