The performance of video prediction has been greatly boosted by advanced deep neural
networks. However, most of the current methods suffer from large model sizes and require …

Future prediction is a fundamental principle of intelligence that helps plan actions and avoid
possible dangers. As the future is uncertain to a large extent, modeling the uncertainty and …

Video prediction is a pixel-wise dense prediction task to infer future frames based on past
frames. Missing appearance details and motion blur are still two major problems for current …

We present an approach to predict future video frames given a sequence of continuous
video frames in the past. Instead of synthesizing images directly, our approach is designed …

Video prediction is an extrapolation task that predicts future frames given past frames, and
video frame interpolation is an interpolation task that estimates intermediate frames between …

World models learn the consequences of actions in vision-based interactive systems.
However, in practical scenarios such as autonomous driving, there commonly exists …

Despite the advances in Human Activity Recognition, the ability to exploit the dynamics of
human body motion in videos has yet to be achieved. In numerous recent works …

Vision-based prediction algorithms have a wide range of applications including autonomous
driving, surveillance, human-robot interaction, weather prediction. The objective of this …

In this paper, we improve the inter coding performance of surveillance videos by
simultaneously investigating the distinct characteristics of background and foreground …

This paper proposes an intermediate fused network with multiple timescales to predict future
video segments for video anomaly detection. Video prediction technique for anomaly …