3D point cloud visual grounding plays a critical role in 3D scene
compre...
The past few years have witnessed the rapid development in multivariate ...
This paper presents a novel framework, named Global-Local Correspondence...
The last decades are marked by massive and diverse image data, which sho...
To achieve promising results on blind image super-resolution (SR), some
...
Prevailing video frame interpolation algorithms, that generate the
inter...
Deep-learning based Super-Resolution (SR) methods have exhibited promisi...
Temporal action localization is an important yet challenging task in vid...
For action recognition learning, 2D CNN-based methods are efficient but ...
Motivated by the previous success of Two-Dimensional Convolutional Neura...
Unsupervised learning of optical flow, which leverages the supervision f...
Efficiency is an important issue in designing video architectures for ac...
Generating temporal action proposals remains a very challenging problem,...
Most existing matching algorithms are one-off algorithms, i.e., they usu...