Ensembles of Region Based Classifiers. - Sungha Choi; Byungwoo Lee; Jihoon Yang (CIT, 2007)

A New Ensemble Learning Algorithm using Regional Classifiers. - Byungwoo Lee; Sungha Choi; Byonghwa Oh; Jihoon Yang; Sungyong Park (Int. J. Artif. Intell. Tools, 2013)

Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation. - Wonwoong Cho; Sungha Choi; David Keetae Park; Inkyu Shin; Jaegul Choo (CVPR, 2019)

Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks. - Sungha Choi; Joanne Taery Kim; Jaegul Choo (CVPR, 2020)

Towards Lightweight Lane Detection by Optimizing Spatial Embedding. - Seokwoo Jung; Sungha Choi; Mohammad Azam Khan; Jaegul Choo (CoRR, 2020)

RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening. - Sungha Choi; Sanghun Jung; Huiwon Yun; Joanne Taery Kim; Seungryong Kim; Jaegul Choo (CVPR, 2021)

Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. - Sanghun Jung; Jungsoo Lee; Daehoon Gwak; Sungha Choi; Jaegul Choo (ICCV, 2021)

Improving Test-Time Adaptation Via Shift-Agnostic Weight Regularization and Nearest Source Prototypes. - Sungha Choi; Seunghan Yang; Seokeon Choi; Sungrack Yun (ECCV (33), 2022)

Progressive Random Convolutions for Single Domain Generalization. - Seokeon Choi; Debasmit Das; Sungha Choi; Seunghan Yang; Hyunsin Park; Sungrack Yun (CVPR, 2023)

EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization. - Junha Song; Jungsoo Lee; In So Kweon; Sungha Choi (CVPR, 2023)

Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. - Jungsoo Lee; Debasmit Das; Jaegul Choo; Sungha Choi (ICCV, 2023)

TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation. - Hyesu Lim; Byeonggeun Kim; Jaegul Choo; Sungha Choi (ICLR, 2023)

Feature Diversification and Adaptation for Federated Domain Generalization. - Seunghan Yang; Seokeon Choi; Hyunsin Park; Sungha Choi; Simyung Chang; Sungrack Yun (ECCV (72), 2024)

CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation. - Jungsoo Lee; Debasmit Das; Munawar Hayat; Sungha Choi; Kyuwoong Hwang; Fatih Porikli (CVPR, 2025)

Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation. - Minho Park 003; Sunghyun Park 005; Jungsoo Lee; Hyojin Park 004; Kyuwoong Hwang; Fatih Porikli; Jaegul Choo; Sungha Choi (CoRR, 2025)

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation. - Sunghyun Park 005; Jungsoo Lee; Shubhankar Borse; Munawar Hayat; Sungha Choi; Kyuwoong Hwang; Fatih Porikli (CoRR, 2025)