Existing learning-based frame interpolation algorithms extract consecuti...
Most video understanding methods are learned on high-quality videos. How...
Energy-based models (EBMs) provide an elegant framework for density
esti...
Terrestrial laser scanning (TLS) can obtain tree point cloud with high
p...
Bicubic downscaling is a prevalent technique used to reduce the video st...
Efficiently modeling spatial-temporal information in videos is crucial f...
Video frame transmission delay is critical in real-time applications suc...
Variational Autoencoder (VAE) and its variations are classic generative
...
Previous video modeling methods leverage the cubic 3D convolution filter...
Recently, learning based video compression methods attract increasing
at...
Existing works reduce motion blur and up-convert frame rate through two
...
In this paper, we propose a method to learn a minimizing geodesic within...
Video frame interpolation aims to synthesize nonexistent frames in-betwe...
Conventional video compression approaches use the predictive coding
arch...
Motion estimation (ME) and motion compensation (MC) have been widely use...