activity
20182026
most citedNTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results

23 citations · 66 across the 15 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

eess.IV2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

Kai Zhang, Martin Danelljan, Yawei Li +75

This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…

cs.CV2020★ 12 cited

GIA-Net: Global Information Aware Network for Low-light Imaging

Zibo Meng, Runsheng Xu, Chiu Man Ho

It is extremely challenging to acquire perceptually plausible images under low-light conditions due to low SNR. Most recently, U-Nets have shown promising results for low-light ima…

cs.CV2020★ 4 cited

Residual Frames with Efficient Pseudo-3D CNN for Human Action Recognition

Jiawei Chen, Jenson Hsiao, Chiu Man Ho

Human action recognition is regarded as a key cornerstone in domains such as surveillance or video understanding. Despite recent progress in the development of end-to-end solutions…

eess.IV2020★ 23 cited

NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results

Andreas Lugmayr, Martin Danelljan, Radu Timofte +43

This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world settin…

eess.IV2020★ 2 cited

Residual Channel Attention Generative Adversarial Network for Image Super-Resolution and Noise Reduction

Jie Cai, Zibo Meng, Chiu Man Ho

Image super-resolution is one of the important computer vision techniques aiming to reconstruct high-resolution images from corresponding low-resolution ones. Most recently, deep l…