Sungha Choi

According to our database, Sungha Choi authored at least 13 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Feature Diversification and Adaptation for Federated Domain Generalization.

Seunghan Yang, Seokeon Choi, Hyunsin Park, Sungha Choi, Simyung Chang, Sungrack Yun

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation.

Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization.

Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization.

Junha Song, Jungsoo Lee, In So Kweon, Sungha Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Progressive Random Convolutions for Single Domain Generalization.

Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improving Test-Time Adaptation Via Shift-Agnostic Weight Regularization and Nearest Source Prototypes.

Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Towards Lightweight Lane Detection by Optimizing Spatial Embedding.

Seokwoo Jung, Sungha Choi, Mohammad Azam Khan, Jaegul Choo

CoRR, 2020

Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks.

Sungha Choi, Joanne Taery Kim, Jaegul Choo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation.

Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2013

A New Ensemble Learning Algorithm using Regional Classifiers.

Byungwoo Lee, Sungha Choi, Byonghwa Oh, Jihoon Yang, Sungyong Park

Int. J. Artif. Intell. Tools, 2013

2007

Ensembles of Region Based Classifiers.

Sungha Choi, Byungwoo Lee, Jihoon Yang

Proceedings of the Seventh International Conference on Computer and Information Technology (CIT 2007), 2007