Learning to Focus and Track Extreme Climate Events. - Sookyung Kim; Sunghyun Park 005; Sunghyo Chung; Joonseok Lee; Yunsung Lee; Hyojin Kim 001; Prabhat; Jaegul Choo (BMVC, 2019)

Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks. - Seungjoo Yoo; Hyojin Bahng; Sunghyo Chung; Junsoo Lee; Jaehyuk Chang; Jaegul Choo (CVPR, 2019)

Exploring Unlabeled Faces for Novel Attribute Discovery. - Hyojin Bahng; Sunghyo Chung; Seungjoo Yoo; Jaegul Choo (CVPR, 2020)

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 001; Jaegul Choo (EuroVis (Short Papers), 2021)

AnimeCeleb: Large-Scale Animation CelebFaces Dataset via Controllable 3D Synthetic Models. - Kangyeol Kim; Sunghyun Park 005; Jaeseong Lee; Sunghyo Chung; Junsoo Lee; Jaegul Choo (CoRR, 2021)

AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment. - Kangyeol Kim; Sunghyun Park 005; Jaeseong Lee; Sunghyo Chung; Junsoo Lee; Jaegul Choo (ECCV (8), 2022)

Improving Scene Text Recognition for Character-Level Long-Tailed Distribution. - Sunghyun Park 005; Sunghyo Chung; Jungsoo Lee; Jaegul Choo (CoRR, 2023)

A Scanner Deeply: Predicting Gaze Heatmaps on Visualizations Using Crowdsourced Eye Movement Data. - Sungbok Shin; Sunghyo Chung; Sanghyun Hong 001; Niklas Elmqvist (IEEE Trans. Vis. Comput. Graph., 2023)

Beyond the Mirror: Personal Analytics through Visual Juxtaposition with Other People's Data. - Sungbok Shin; Sunghyo Chung; Hyeon Jeon; Hyunwook Lee; Minje Choi; Taehun Kim; Jaehoon Choi; Sungahn Ko; Jaegul Choo (CoRR, 2025)

Reading.help: Supporting EFL Readers with Proactive and On-Demand Explanation of English Grammar and Semantics. - Sunghyo Chung; Hyeon Jeon; Sungbok Shin; Md. Naimul Hoque (CoRR, 2025)