July 2022

Appearance-based image representations in the form of viewgrids provide a useful framework for learning self-supervised image representations by training a network to reconstruct full object shapes, or scenes.
January 2018

An agent's continuous visual observations include information about how the world responds to its actions. This can provide an effective source of self-supervision for learning visual representations.
January 2017
January 2017

Assuming a world that mostly changes smoothly, continuous video streams entail implicit supervision that can be effectively exploited for learning visual representations.
January 2016

Unsupervised feature learning from video benefits from paying attention to changes in appearance of objects detected by an objectness measure, rather than only paying attention to the whole scene.
January 2016

An agent's continuous visual observations include information about how the world responds to its actions. This can provide an effective source of self-supervision for learning visual representations.
January 2015