Portrait of Sunghyo Chung

Sunghyo Chung

Research Engineer at Kakao

sunghyo.chung@gmail.com
Multimodal Embedding ModelsVision Language ModelsHuman-Centered AI
Curriculum Vitae

Education

Korea University

M.S., Computer Science · 2017 – 2019
Data and Visual Analytics Lab (DAVIAN), Advisor: Prof. Jaegul Choo
B.S., Computer Science and Engineering · 2013 – 2017
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

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

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 (Spotlight)

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

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