An exploration of embodied visual exploration
May 2021
Emergence of exploratory look-around behaviors through active observation completion
May 2019
End-to-end policy learning for active visual categorization
Active visual perception with realistic and complex imagery can be formulated as an end-to-end reinforcement learning problem, the solution to which benefits from additionally exploiting the auxiliary task of action-conditioned future prediction.
July 2018
Learning to look around: Intelligently exploring unseen environments for unknown tasks
Task-agnostic visual exploration policies may be trained through a proxy "observation completion" task that requires an agent to "paint" unobserved views given a small set of observed views.
June 2018
Learning Image Representations Tied to Egomotion from Unlabeled Video
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.
December 2017
Embodied learning for visual recognition
January 2017
Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion
Active visual perception with realistic and complex imagery can be formulated as an end-to-end reinforcement learning problem, the solution to which benefits from additionally exploiting the auxiliary task of action-conditioned future prediction.
September 2016
Slow and steady feature analysis: higher order temporal coherence in video
Assuming a world that mostly changes smoothly, continuous video streams entail implicit supervision that can be effectively exploited for learning visual representations.
June 2016
Learning image representations tied to ego-motion
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.
October 2015