Yongwoo Kim

Yongwoo Kim

Sangmyung University

H-index: 9

Asia-South Korea

About Yongwoo Kim

Yongwoo Kim, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at Sangmyung University, specializes in the field of Logic design, Image/Video Processing, high-speed serial interface, Deep Learning.

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

Image processing method and device using a line-wise operation

Image pipeline processing method and device

Method and device of super resolution using feature map compression

Design and Implementation of an MIPI A-PHY Retransmission Layer for Automotive Applications

An FPGA-based Lightweight Deblocking CNN for Edge Devices

Swarm Reconnaissance Drone System for Real-Time Object Detection Over a Large Area

Target capacity filter pruning method for optimized inference time based on YOLOv5 in embedded systems

A Design and Implementation of MIPI A-PHY RTS Layer

Yongwoo Kim Information

University

Position

___

Citations(all)

530

Citations(since 2020)

490

Cited By

144

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

7

Email

University Profile Page

Sangmyung University

Google Scholar

View Google Scholar Profile

Yongwoo Kim Skills & Research Interests

Logic design

Image/Video Processing

high-speed serial interface

Deep Learning

Top articles of Yongwoo Kim

Title

Journal

Author(s)

Publication Date

Image processing method and device using a line-wise operation

2024/4/9

Image pipeline processing method and device

2021/3/18

Method and device of super resolution using feature map compression

2024/4/16

Design and Implementation of an MIPI A-PHY Retransmission Layer for Automotive Applications

Electronics

Sang-ung Shin

Jin-Ku Kang

Yongwoo Kim

2023/10/13

An FPGA-based Lightweight Deblocking CNN for Edge Devices

Jaemyung Kim

Jin-Ku Kang

Yongwoo Kim

2023/5/21

Swarm Reconnaissance Drone System for Real-Time Object Detection Over a Large Area

IEEE Access

Sungtae Moon

Jihun Jeon

Doyoon Kim

Yongwoo Kim

2023/1/3

Target capacity filter pruning method for optimized inference time based on YOLOv5 in embedded systems

IEEE Access

Jihun Jeon

Jaemyung Kim

Jin-Ku Kang

Sungtae Moon

Yongwoo Kim

2022/7/4

A Design and Implementation of MIPI A-PHY RTS Layer

Sang-Ung Shin

Jin-Ku Kang

Yongwoo Kim

2022/10/19

Filter pruning method for inference time acceleration based on yolox in edge device

Jihun Jeon

Jin-Ku Kang

Yongwoo Kim

2022/10/19

A Design and Implementation of Automotive SerDes A-PHY RTS Layer on FPGA

한국차세대컴퓨팅학회 학술대회

Sang-Ung Shin

Jin-Ku Kang

Yongwoo Kim

2022/10

A low-cost fully integer-based CNN accelerator on FPGA for real-time traffic sign recognition

IEEE Access

Jaemyung Kim

Jin-Ku Kang

Yongwoo Kim

2022/8/10

Comparative Estimation of Electrical Characteristics of a Photovoltaic Module Using Regression and Artificial Neural Network Models

Electronics

Jonghwan Lee

Yongwoo Kim

2022/12/19

Super-resolution method and device using linewise operation

2022/8/9

An FPGA Implementation of CNN-based Compression Artifact Reduction

Jaemyung Kim

Jin-Ku Kang

Yongwoo Kim

2022/10/19

A no-reference CNN-based super-resolution method for KOMPSAT-3 using adaptive image quality modification

Remote Sensing

Yeonju Choi

Sanghyuck Han

Yongwoo Kim

2021/8/20

A resource efficient integer-arithmetic-only FPGA-based CNN accelerator for real-time facial emotion recognition

IEEE Access

Jaemyung Kim

Jin-Ku Kang

Yongwoo Kim

2021/7/26

Image processing method and device using line input and output

2021/7/6

Image processing method and device using feature map compression

2021/3/4

Quantized CNN-based Super-Resolution Method for Compressed Image Reconstruction

Journal of the Semiconductor & Display Technology

Yongwoo Kim

Jonghwan Lee

2020

Image processing apparatus and image processing method thereof

2022/4/26

See List of Professors in Yongwoo Kim University(Sangmyung University)