activity
20182021
most citedNTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results

23 citations · 30 across the 4 of their papers we have counts for

collaborators

5 papers

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.CV20204 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.IV202023 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.IV20202 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…

cs.LG2018

Gradient-Coherent Strong Regularization for Deep Neural Networks

Dae Hoon Park, Chiu Man Ho, Yi Chang +1

Regularization plays an important role in generalization of deep neural networks, which are often prone to overfitting with their numerous parameters. L1 and L2 regularizers are co…