Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning

11 Apr 2019Karl PertschOleh RybkinJingyun YangShenghao ZhouKonstantinos G. DerpanisKostas DaniilidisJoseph LimAndrew Jaegle

Temporal observations such as videos contain essential information about the dynamics of the underlying scene, but they are often interleaved with inessential, predictable details. One way of dealing with this problem is by focusing on the most informative moments in a sequence... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet