activity
20192024
most citedHybrid Residual Attention Network for Single Image Super Resolution

70 citations · 83 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2024★ 1 cited

ToonAging: Face Re-Aging upon Artistic Portrait Style Transfer

Bumsoo Kim, Abdul Muqeet, Kyuchul Lee +1

Face re-aging is a prominent field in computer vision and graphics, with significant applications in photorealistic domains such as movies, advertising, and live streaming. Recentl…

cs.CV2023★ 2 cited

Video Face Re-Aging: Toward Temporally Consistent Face Re-Aging

Abdul Muqeet, Kyuchul Lee, Bumsoo Kim +4

Video face re-aging deals with altering the apparent age of a person to the target age in videos. This problem is challenging due to the lack of paired video datasets maintaining t…

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★ 70 cited

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…