The ability to predict, anticipate and reason about future outcomes is a key component of
intelligent decision-making systems. In light of the success of deep learning in computer …

Abstract From CNN, RNN, to ViT, we have witnessed remarkable advancements in video
prediction, incorporating auxiliary inputs, elaborate neural architectures, and sophisticated …

Spatiotemporal predictive learning aims to generate future frames by learning from historical
frames. In this paper, we investigate existing methods and present a general framework of …

Recent years have witnessed remarkable advances in spatiotemporal predictive learning,
incorporating auxiliary inputs, elaborate neural architectures, and sophisticated training …

A central challenge of video prediction lies where the system has to reason the object's
future motion from image frames while simultaneously maintaining the consistency of its …

We study a new problem of semantic complete scene forecasting (SCSF) in this work. Given
a 4D dynamic point cloud sequence, our goal is to forecast the complete scene …

Precipitation nowcasting is an indispensable task for traffic routing and disaster avoidance.
Due to its strenuous movement, even the most recent deep learning techniques in computer …

As mobile devices become increasingly popular for video streaming, it's crucial to optimize
the streaming experience for these devices. Although deep learning-based video …

The achievements of deep learning in the sphere of computer vision have elevated video
prediction to a prominent research focus. The prevailing trend in current deep learning …

Cloud gaming is a multi-billion dollar industry. A client in cloud gaming sends its movement
to the game server on the Internet, which renders and transmits the resulting video back. In …