Object-Centric Representation Learning from Unlabeled Videos
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.
November 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