10 citations · 10 across the 1 of their papers we have counts for
3 papers
eess.IV2020★ 10 cited
Multi-Attention Based Ultra Lightweight Image Super-Resolution
Abdul Muqeet, Jiwon Hwang, Subin Yang +3
Lightweight image super-resolution (SR) networks have the utmost significance for real-world applications. There are several deep learning based SR methods with remarkable performa…
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.CV2019
Hybrid Residual Attention Network for Single Image Super Resolution
Abdul Muqeet, Md Tauhid Bin Iqbal, Sung-Ho Bae
The extraction and proper utilization of convolution neural network (CNN) features have a significant impact on the performance of image super-resolution (SR). Although CNN feature…