Curriculum Vitae
Donggeon Jo
Dong-A University
Dept. of Computer and AI Engineering
Intelligent Image Signal Processing Lab. (ISPL)
Advisor: Prof. Dongsan Jun
Combined Undergraduate and M.S. Course
Contact
E-mail: dgjo@donga-ispl.kr, 2243602@donga.ac.kr
Office: Image Signal Processing Lab., Room 210, 1st Engineering Building (S03), Seunghak Campus, Dong-A University, Hadan-dong, Saha-gu, Busan, Rep. of Korea (Google map)
[CV (pdf)]
Research Interest
Video Coding (International standard of ISO/IEC and ITU-T)
High Efficiency Video Coding (HEVC)
Versatile Video Coding (VVC)
Neural Network-based Video Coding (NNVC, Post VVC)
Deep Learning based Computer Vision
Super Resolution (SR)
Domestic Journal (KCI)
Domestic Conferences
D. Jo, D. Jun*, “Super Resolution Method for Facial Images Using Light Weight Convolution Based Swin Transformer,” Korea Institute of Information and Communication Engineering, 2024 Summer Conference, Jun. 2024
D. Jo, G. Kown, D. Kang, D. Jun*, “Densely Cascading Dual Branch based Super Resolution Method for the Quality Enhancement of Facial Areas,” 36th Workshop on Image Processing and Image Understanding, Jan. 2024
Education
Combined Undergraduate and M.S. Course in Dept. of Computer Engineering, Dong-A University Sep. 2024 ~ Present
B.S. in Dept. of AI, Dong-A University Mar. 2022 ~ Sep. 2024
Project Experience
Research on Post-Processing Method using Meta-Learning for MPEG Immersive Video Mar. 2024 ~ Present
funded by AT Plus
Research and standardization on deep learning based low complexity video coding algorithms for hyper reality video Sep. 2023 ~ Present
funded by National Research Foundation of Korea (NRF)
Analysis of the State-of-the-art Deep Learning based Image Quality Improvement Technology for Underwater Environment Oct. 2023 ~ Dec.2023
funded by AT Plus
Skills
Programming Languages: C/C++, Python (Pytorch, Tensorflow)
OS/Environments: Windows, Linux
Languages: Korean, English