Image Super-Resolution (ISR), which aims at recovering High-Resolution (...
This paper presents a pure transformer-based approach, dubbed the Multi-...
Video super-resolution has recently become one of the most important
mob...
This paper reviews the AIM 2020 challenge on efficient single image
supe...
It is extremely challenging to acquire perceptually plausible images und...
Human action recognition is regarded as a key cornerstone in domains suc...
Image super-resolution is one of the important computer vision technique...
Deep neural networks are often prone to over-fitting with their numerous...
We propose sequenced-replacement sampling (SRS) for training deep neural...