Sunghyo Chung
Scholar

Sunghyo Chung

Google Scholar ID: SyYWgk0AAAAJ
AI Research Engineer, Kakao Brain
Machine Learning
Citations & Impact
All-time
Citations
266
 
H-index
7
 
i10-index
6
 
Publications
12
 
Co-authors
3
list available
Resume (English only)
Academic Achievements
  • - A Scanner Deeply: Predicting Gaze Heatmaps on Visualizations Using Crowdsourced Eye Movement Data, IEEE Trans. on Visualization and Computer Graphics (TVCG), 2023 (Proc. IEEE VIS'22)
  • - AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment, 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, EG/VGTC Conference on Visualization (EuroVis), Short Paper, 2021
  • - Exploring Unlabeled Faces for Novel Attribute Discovery, CVPR, 2020, Seattle, WA, Accepted.
  • - Learning to Focus and Track Extreme Climate Events, BMVC, 2019, Cardiff, UK, Accepted as Spotlight Presentation
  • - Coloring With Limited Data: Few-Shot Colorization via Memory-Augmented Networks, CVPR, 2019, CA
  • - ReVACNN: Steering Convolutional Neural Network via Real-Time Visual Analytics, NIPS'16-FILM, 2016
  • - Improving Scene Text Recognition for Character-Level Long-Tailed Distribution, Under Review
Research Experience
  • Research Engineer at Kakao Brain
Education
  • Korea University M.S., Computer Science, Data and Visual Analytics Lab (DAVIAN), Advisor: Dr. Jaegul Choo; B.S., Computer Science and Engineering, Graduated with Great Honor
Background
  • Research Areas: Visualization with AI, Human-Centered AI, Computer Vision
Miscellany
  • E-mail: sunghyo.chung@gmail.com, shawn.ai@kakaobrain.com