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Jaegul Choo

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Sungha Choi

> Home > Persons > Jaegul Choo

Publications

2023
[c115]
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  - conf/iccv/LeeDCC23
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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
[c111]
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  - conf/iclr/LimKCC23
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Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi:
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation. ICLR 2023
[i104]
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  - journals/corr/abs-2302-05155
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Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi:
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation. CoRR abs/2302.05155 (2023)
[i90]
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  - journals/corr/abs-2308-06879
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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)
2021
[c70]
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  - conf/cvpr/ChoiJYKKC21
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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
[c63]
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  - conf/iccv/JungLGCC21
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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
[i46]
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  - journals/corr/abs-2103-15597
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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 abs/2103.15597 (2021)
[i39]
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  - journals/corr/abs-2107-11264
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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 abs/2107.11264 (2021)
2020
[c52]
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  - conf/cvpr/ChoiKC20
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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
[i29]
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  - journals/corr/abs-2003-05128
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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)
[i27]
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  - journals/corr/abs-2008-08311
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Seokwoo Jung, Sungha Choi, Mohammad Azam Khan, Jaegul Choo:
Towards Lightweight Lane Detection by Optimizing Spatial Embedding. CoRR abs/2008.08311 (2020)
2019
[c42]
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  - conf/cvpr/ChoCPSC19
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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
[i6]
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  - journals/corr/abs-1812-09912
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Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo:
Image-to-Image Translation via Group-wise Deep Whitening and Coloring Transformation. CoRR abs/1812.09912 (2018)

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