Sung Hyo Chung
Research Engineer at Kakao.
E-mail: sunghyo.chung@gmail.com
Research Areas:Multimodal Embedding Models, Vision Language Models, Human-Centered AI
Education
Korea University
M.S., Computer Science
Data and Visual Analytics Lab (DAVIAN), Advisor: Prof. Jaegul Choo
B.S., Computer Science and Engineering
Graduated with Great Honor
Publications
Reading.help: Supporting EFL Readers with Proactive and On-Demand Explanation of English Grammar and Semantics
Sunghyo Chung, Hyeon Jeon, Sungbok Shin, and Md Naimul Hoque
arXiv 2025
Improving Scene Text Recognition for Character-Level Long-Tailed Distribution
Sunghyun Park*, Sunghyo Chung*, Jungsoo Lee, and Jaegul Choo (*: equal contributions)
arXiv 2023
A Scanner Deeply: Predicting Gaze Heatmaps on Visualizations Using Crowdsourced Eye Movement Data
Sungbok Shin, Sunghyo Chung, Sanghyun Hong, and Niklas Elmqvist
IEEE Trans. on Visualization and Computer Graphics (TVCG), 2023 (Proc. IEEE VIS'22)
AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment
Kangyeol Kim,* Sunghyun Park,* Jaeseong Lee,* Sunghyo Chung, Junsoo Lee, and Jaegul Choo (*: equal contributions)
European Conference on Computer Vision (ECCV), 2022, WA
Best Paper Award, Korean Artificial Intelligence Association 2022.
VATUN: Visual Analytics for Testing and Understanding Convolutional Neural Networks
Cheonbok Park,* Soyoung Yang,* Inyoup Na,* Sunghyo Chung, Sungbok Shin, Bum Chul Kwon, Deokgun Park, and Jaegul Choo (*: equal contributions)
EG/VGTC Conference on Visualization (EuroVis), Short Paper, 2021
Exploring Unlabeled Faces for Novel Attribute Discovery
Hyojin Bahng, Sunghyo Chung, Seungjoo Yoo, Jaegul Choo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Seattle, WA, Accepted.
Learning to Focus and Track Extreme Climate Events
Sookyung Kim,* Sunghyun Park,* Sunghyo Chung,* Joonseok Lee, Yunsung Lee, Hyojin Kim, Mr Prabhat, and Jaegul Choo (*: equal contributions)
British Machine Vision Conference (BMVC), 2019, Cardiff, UK, Accepted as Spotlight Presentation
Coloring With Limited Data: Few-Shot Colorization via Memory-Augmented Networks
Seungjoo Yoo, Hyojin Bahng, Sunghyo Chung, Junsoo Lee, Jaehyuk Chang, and Jaegul Choo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, CA
ReVACNN: Steering Convolutional Neural Network via Real-Time Visual Analytics
Sunghyo Chung, Cheonbok Park, Sangho Suh, Kyeongpil Kang, Jaegul Choo, and Bum Chul Kwon
Future of Interactive Learning Machines Workshop at NIPS (NIPS'16-FILM), 2016.