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Sungha Choi
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2020 – today
- 2024
- [c11]Seunghan Yang, Seokeon Choi, Hyunsin Park, Sungha Choi, Simyung Chang, Sungrack Yun:
Feature Diversification and Adaptation for Federated Domain Generalization. ECCV (72) 2024: 52-70 - [i11]Seunghan Yang, Seokeon Choi, Hyunsin Park, Sungha Choi, Simyung Chang, Sungrack Yun:
Feature Diversification and Adaptation for Federated Domain Generalization. CoRR abs/2407.08245 (2024) - 2023
- [c10]Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun:
Progressive Random Convolutions for Single Domain Generalization. CVPR 2023: 10312-10322 - [c9]Junha Song, Jungsoo Lee, In So Kweon, Sungha Choi:
EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization. CVPR 2023: 11920-11929 - [c8]Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi:
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. ICCV 2023: 16334 - [c7]Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi:
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation. ICLR 2023 - [i10]Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi:
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation. CoRR abs/2302.05155 (2023) - [i9]Junha Song, Jungsoo Lee, In So Kweon, Sungha Choi:
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization. CoRR abs/2303.01904 (2023) - [i8]Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun:
Progressive Random Convolutions for Single Domain Generalization. CoRR abs/2304.00424 (2023) - [i7]Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi:
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. CoRR abs/2308.06879 (2023) - 2022
- [c6]Sungha Choi
, Seunghan Yang
Improving Test-Time Adaptation Via Shift-Agnostic Weight Regularization and Nearest Source Prototypes. ECCV (33) 2022: 440-458 - [i6]Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun:
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes. CoRR abs/2207.11707 (2022) - 2021
- [c5]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: 11580-11590 - [c4]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: 15405-15414 - [i5]Sungha Choi, Sanghun Jung
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening. CoRR abs/2103.15597 (2021) - [i4]Sanghun Jung
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. CoRR abs/2107.11264 (2021) - 2020
- [c3]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: 9370-9380 - [i3]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 abs/2003.05128 (2020) - [i2]Seokwoo Jung, Sungha Choi, Mohammad Azam Khan, Jaegul Choo:
Towards Lightweight Lane Detection by Optimizing Spatial Embedding. CoRR abs/2008.08311 (2020)
2010 – 2019
- 2019
- [c2]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: 10639-10647 - 2018
- [i1]Wonwoong Cho
Image-to-Image Translation via Group-wise Deep Whitening and Coloring Transformation. CoRR abs/1812.09912 (2018) - 2013
- [j1]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)
2000 – 2009
- 2007
- [c1]Sungha Choi, Byungwoo Lee, Jihoon Yang:
Ensembles of Region Based Classifiers. CIT 2007: 41-46
Coauthor Index
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