Jae-Seok Choi

KAIST

H-index: 14

Asia-South Korea

Jae-Seok Choi, With an exceptional h-index of 14 and a recent h-index of 12 (since 2020), a distinguished researcher at KAIST,

His recent articles reflect a diverse array of research interests and contributions to the field:

Image pipeline processing method and device

Method and device of super resolution using feature map compression

Image processing method and device using a line-wise operation

Super-resolution method and device using linewise operation

Image processing apparatus and image processing method thereof

Image processing method and device using feature map compression

Image processing method and device using line input and output

Method of converting low-resolution image to high-resolution image and image conversion device performing method

Title	Journal	Author(s)	Publication Date
Image pipeline processing method and device			2021/3/18
Method and device of super resolution using feature map compression			2024/4/16
Image processing method and device using a line-wise operation			2024/4/9
Super-resolution method and device using linewise operation			2022/8/9
Image processing apparatus and image processing method thereof			2022/4/26
Image processing method and device using feature map compression			2021/3/4
Image processing method and device using line input and output			2021/7/6
Method of converting low-resolution image to high-resolution image and image conversion device performing method			2020/11/17
UPSNet: Unsupervised pan-sharpening network with registration learning between panchromatic and multi-spectral images	IEEE Access	Soomin Seo Jae-Seok Choi Jaehyup Lee Hyun-Ho Kim Doochun Seo ...	2020/11/4
A CNN-based multi-scale super-resolution architecture on FPGA for 4K/8K UHD applications		Yongwoo Kim Jae-Seok Choi Jaehyup Lee Munchurl Kim	2020

Useful Links