Sungha Choi

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 20

Top Topics

Scene Segmentation

Entropy Minimization

Statistical Significance

Top Venues

Publications

Seunghan Yang, Seokeon Choi, Hyunsin Park, Sungha Choi, Simyung Chang, Sungrack Yun
Feature Diversification and Adaptation for Federated Domain Generalization. CoRR (2024)
Junha Song, Jungsoo Lee, In So Kweon, Sungha Choi
EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization. CVPR (2023)
Junha Song, Jungsoo Lee, In So Kweon, Sungha Choi
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization. CoRR (2023)
Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. ICCV (2023)
Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation. CoRR (2023)
Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun
Progressive Random Convolutions for Single Domain Generalization. CoRR (2023)
Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun
Progressive Random Convolutions for Single Domain Generalization. CVPR (2023)
Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation. ICLR (2023)
Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. CoRR (2023)
Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun
Improving Test-Time Adaptation Via Shift-Agnostic Weight Regularization and Nearest Source Prototypes. ECCV (33) (2022)
Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes. CoRR (2022)
Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. ICCV (2021)
Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Taery Kim, Seungryong Kim, Jaegul Choo
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening. CoRR (2021)
Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. CoRR (2021)
Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Taery Kim, Seungryong Kim, Jaegul Choo
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening. CVPR (2021)
Seokwoo Jung, Sungha Choi, Mohammad Azam Khan, Jaegul Choo
Towards Lightweight Lane Detection by Optimizing Spatial Embedding. CoRR (2020)
Sungha Choi, Joanne Taery Kim, Jaegul Choo
Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks. CVPR (2020)
Sungha Choi, Joanne Taery Kim, Jaegul Choo
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks. CoRR (2020)
Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo
Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation. CVPR (2019)
Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo
Image-to-Image Translation via Group-wise Deep Whitening and Coloring Transformation. CoRR (2018)
Byungwoo Lee, Sungha Choi, Byonghwa Oh, Jihoon Yang, Sungyong Park
A New Ensemble Learning Algorithm using Regional Classifiers. Int. J. Artif. Intell. Tools 22 (4) (2013)
Sungha Choi, Byungwoo Lee, Jihoon Yang
Ensembles of Region Based Classifiers. CIT (2007)