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MATE: Masked Autoencoders are Online 3D Test-Time Learners


Nov 24, 2022
M. Jehanzeb Mirza, Inkyu Shin, Wei Lin, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Horst Possegger, Mateusz Kozinski, In So Kweon, Kun-Jin Yoon, Horst Bischof

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* Minor fix in citations 

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Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging


Sep 13, 2022
Joohyung Lee, Jieun Oh, Inkyu Shin, You-sung Kim, Dae Kyung Sohn, Tae-sung Kim, In So Kweon

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* 11 pages, 2 figures, accepted to MICCAI 2022 

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MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation


Apr 27, 2022
Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon

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* CVPR 2022 

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UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation


Nov 24, 2021
Taeyeop Lee, Byeong-Uk Lee, Inkyu Shin, Jaesung Choe, Ukcheol Shin, In So Kweon, Kuk-Jin Yoon

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Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation


Oct 08, 2021
KwanYong Park, Sanghyun Woo, Inkyu Shin, In So Kweon

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* NeurIPS 2020 

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LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation


Aug 12, 2021
Inkyu Shin, Dong-jin Kim, Jae Won Cho, Sanghyun Woo, Kwanyong Park, In So Kweon

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* Accepted to ICCV 2021 (Oral) 

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Unsupervised Domain Adaptation for Video Semantic Segmentation


Jul 23, 2021
Inkyu Shin, Kwanyong Park, Sanghyun Woo, In So Kweon

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Two-phase Pseudo Label Densification for Self-training based Domain Adaptation


Dec 09, 2020
Inkyu Shin, Sanghyun Woo, Fei Pan, InSo Kweon

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* Accepted to ECCV 2020 

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Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision


Apr 20, 2020
Fei Pan, Inkyu Shin, Francois Rameau, Seokju Lee, In So Kweon

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* Accepted to CVPR 2020 as an Oral Presentation. Code is available at https://github.com/feipan664/IntraDA 

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