The New Approach on Fuzzy Decision Trees. - Jooyeol Yun; Jun won Seo; Taeseon Yoon (CoRR, 2014)

Gradually Applying Weakly Supervised and Active Learning for Mass Detection in Breast Ultrasound Images. - Jooyeol Yun; Jungwoo Oh; Ildong Yun (CoRR, 2020)

Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children. - Jungsoo Lee; Jooyeol Yun; Sunghyun Park 005; Yonggyu Kim; Jaegul Choo (BMVC, 2021)

iColoriT: Towards Propagating Local Hint to the Right Region in Interactive Colorization by Leveraging Vision Transformer. - Sanghyeon Lee; Jooyeol Yun; Minho Park 003; Jaegul Choo (CoRR, 2022)

Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis. - Minho Park 003; Jooyeol Yun; Seunghwan Choi; Jaegul Choo (ICCV, 2023)

iColoriT: Towards Propagating Local Hints to the Right Region in Interactive Colorization by Leveraging Vision Transformer. - Jooyeol Yun; Sanghyeon Lee; Minho Park 003; Jaegul Choo (WACV, 2023)

Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization. - Jooyeol Yun; Jaegul Choo (ECCV (40), 2024)

Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models. - Minho Park 003; Sunghyun Park 005; Jooyeol Yun; Jaegul Choo (CoRR, 2024)

Scaling Up Personalized Aesthetic Assessment via Task Vector Customization. - Jooyeol Yun; Jaegul Choo (CoRR, 2024)

Generative Location Modeling for Spatially Aware Object Insertion. - Jooyeol Yun; Davide Abati; Mohamed Omran; Jaegul Choo; Amirhossein Habibian; Auke J. Wiggers (CoRR, 2024)

Enabling Region-Specific Control via Lassos in Point-Based Colorization. - Sanghyeon Lee; Jooyeol Yun; Jaegul Choo (AAAI, 2025)

Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention. - Kyungmin Jo; Jooyeol Yun; Jaegul Choo (CVPR, 2025)

Disentangling Subject-Irrelevant Elements in Personalized Text-to-Image Diffusion via Filtered Self-Distillation. - Seunghwan Choi; Jooyeol Yun; Jeonghoon Park; Jaegul Choo (WACV, 2025)

SphereDiff: Tuning-free Omnidirectional Panoramic Image and Video Generation via Spherical Latent Representation. - Minho Park 003; Taewoong Kang; Jooyeol Yun; Sungwon Hwang; Jaegul Choo (CoRR, 2025)

Talk to Your Slides: Language-Driven Agents for Efficient Slide Editing. - Kyudan Jung; Hojun Cho; Jooyeol Yun; Soyoung Yang; Jaehyeok Jang; Jaegul Choo (CoRR, 2025)

DesignLab: Designing Slides Through Iterative Detection and Correction. - Jooyeol Yun; Heng Wang; Yotaro Shimose; Jaegul Choo; Shingo Takamatsu (CoRR, 2025)