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Yooho Lee
Yooho Lee
I'm Ph.D candidate in Intelligent Image Signal Processing Lab @ Dong-A University, advised by Prof. Dongsan Jun. Previously, I received my B.S (Summa Cum Laude) and M.S. degrees in Information and Communication Engineering at Kyungnam University and Computer Engineering at Dong-A university, respectively.
My research interests lie in the intersection of deep learning and video coding. More specifically, my research has been focused on
Deep Learning (Image/Video)
Super Resolution
Compression Artifacts Reduction
Pattern Analysis
3D Gaussian Splatting
Video Coding (International Standard of ISO/IEC MPEG, ITU-T)
High Efficiency Video Coding (HEVC)
Versatile Video Coding (VVC)
Enhanced Compression Beyond VVC Capaability (ECM, Post VVC)
Neural Network-based Video Coding (NNVC, Post VVC)
Contact
E-mail: yhlee@donga-ispl.kr
Office: Image Signal Processing Lab, Room 210, 1th Engineering Building (S-03), Seunghak Campus, Dong-A University, Hadan-dong Saga-gu, Busan, Rep. of Korea (Google map)
International Journal (SCIE)
International Journal (SCIE)
Enhanced Video Super-Resolution Method using U-Net based Spatial Transformer Module
Enhanced Video Super-Resolution Method using U-Net based Spatial Transformer Module
Yooho Lee, Sukhee Cho and Dongsan Jun*, February. 2026
Published in Sensors (JCR Rank 3.7%, IF 11.1)
[doi]
Video Super-Resolution Method Using Deformable Convolution-Based Alignment Network
Video Super-Resolution Method Using Deformable Convolution-Based Alignment Network
Yooho Lee, Sukhee Cho and Dongsan Jun*, November. 2022
Published in Sensors (JCR Rank 28.91%, IF 3.9)
[doi]
Reduction of Compression Artifacts using Densely Cascading Image restoration Network
Reduction of Compression Artifacts using Densely Cascading Image restoration Network
Yooho Lee, Sang-hyo Park, Eunjun Rhee, Byung-Gyu Kim* and Dongsan Jun*, August. 2021
Published in Applied Sciences (JCR Rank 34.6%, IF 2.41)
[doi]
Enhanced Single Image Super Resolution Method Using Lightweight Multi-Scale Channel Dense Network
Enhanced Single Image Super Resolution Method Using Lightweight Multi-Scale Channel Dense Network
Yooho Lee, Dongsan Jun*, Byung-Gyu Kim and Hunjoo Lee, May. 2021
Published in Sensors (JCR Rank 22.6%, IF 3.28)
[doi]
Domestic Journal (KCI)
Domestic Journal (KCI)
Transformer Channel Attention Network for Video Super-Resolution
Transformer Channel Attention Network for Video Super-Resolution
Atlas Video Super-Resolution Method using Depth-wise Separable U-Net
Atlas Video Super-Resolution Method using Depth-wise Separable U-Net
Yooho Lee, Kugjin Yun, Won-Sik Cheong, and, Dongsan Jun*, Jeongil Seo, December. 2023
Published in Journal of Korea Multimedia Society
[doi]
Dual Branch based Super-Resolution Method for the Quality Enhancement of Facial Areas
Dual Branch based Super-Resolution Method for the Quality Enhancement of Facial Areas
Donggeon Jo, Geunyeong Kwon, Yooho Lee, Kugjin Yun, Won-Sik Cheong, Dongsan Jun*, and Sejin Chun, December. 2023
Published in Journal of Korea Multimedia Society
[doi]
Video Super Resolution Method using Deformable Convolution based Alignment Network with Residual Dense Block
Video Super Resolution Method using Deformable Convolution based Alignment Network with Residual Dense Block
Dongho Lee, Yooho Lee, Sejin Chun, and Dongsan Jun*, May. 2023
Published in Journal of Korea Multimedia Society
[doi]
CNN based Image Restoration Method for the Reduction of Compression Artifacts
CNN based Image Restoration Method for the Reduction of Compression Artifacts
Domestic Patent
Domestic Patent
Method of Encoding/Decoding a Video, 10-2023-0148073
Method of Encoding/Decoding a Video, 10-2023-0148074
Lightweight Center Frame Weight Centralized Alignment Network, 10-2023-0161926
Video Super Resolution for Deformable Convolution based Center Oriented Alignment Network, 10-2022-0175152
Object recognition road kill prevention platform using deep learning, 10-2020-0095404
Tripod with position and angle adjustment using Bluetooth remote control, 10-2019-0074589
Day-to-day communication help applications to enhance mobile accessibility for the visually impaired, 10-2019-0074658
Solar Panel Blinds, 10-2019-0174822
Dron with LED 3d hologram fan, 10-2018-0157175
Mobile data interlocked bar-type signal Piano Electronic music display device and control method, 10-2018-0171405
Toilet tower measuring sensor, 10-2018-0063834
360 Headset portable camera, 10-2018-0119443
Project Experience
Project Experience
Government-Funded Projects as Student Researcher
Research on deep learning based lightweight video quality restoration algorithm for high-quality media content service Mar. 2024 ~ Present
funded by National Research Foundation of Korea (NRF)
Research and standardization on deep learning based low complexity video coding algorithm for hyper reality video Jun. 2023 ~ Present
funded by National Research Foundation of Korea (NRF)
Development of immersive video spatial computing technology for ultra-realistic metaverse services Jan. 2022 ~ Present
funded by Electronics and Telecommunications Research Institute (ETRI)
Research on video quality enhancement using DNN based super resolution and artifacts reduction. Jan. 2022 ~ 2023
funded by Electronics and Telecommunications Research Institute (ETRI)
Research on encoding/decoding method for omnidirectional LF video based on deep neural networks. Mar. 2021 ~ 2021
funded by Electronics and Telecommunications Research Institute (ETRI)
Research on image quality enhancement using DNN based super resolution. Sep. 2019 ~ 2021
funded by Electronics and Telecommunications Research Institute (ETRI)
Technical Skill
Technical Skill
Programming Languages: C/C++, Python (Pytorch, Tensorflow), MATLAB
Ref. S/W for Video Coding Standardization: HM (HEVC Test Model), VTM (VVC Test Model)
OS: Windows, Linux
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