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Inkyu Shin
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Journal Articles
- 2024
- [j2]Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Alan L. Yuille, Xiaohui Shen, Liang-Chieh Chen:
A Simple Video Segmenter by Tracking Objects Along Axial Trajectories. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j1]Junha Song, Kwanyong Park, Inkyu Shin, Sanghyun Woo, Chaoning Zhang, In So Kweon:
Test-Time Adaptation in the Dynamic World With Compound Domain Knowledge Management. IEEE Robotics Autom. Lett. 8(11): 7583-7590 (2023)
Conference and Workshop Papers
- 2024
- [c13]Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen:
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. WACV 2024: 228-238 - 2023
- [c12]Daehan Kim, Minseok Seo, Kwanyong Park, Inkyu Shin, Sanghyun Woo, In So Kweon, Dong-Geol Choi:
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation. AAAI 2023: 1114-1123 - [c11]Taeyeop Lee, Jonathan Tremblay, Valts Blukis, Bowen Wen, Byeong-Uk Lee, Inkyu Shin, Stan Birchfield, In So Kweon, Kuk-Jin Yoon:
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation. CVPR 2023: 21285-21295 - [c10]Muhammad Jehanzeb Mirza, Inkyu Shin, Wei Lin, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Mateusz Kozinski, Horst Possegger, In So Kweon, Kuk-Jin Yoon, Horst Bischof:
MATE: Masked Autoencoders are Online 3D Test-Time Learners. ICCV 2023: 16663-16672 - [c9]Sungsu Hur, Inkyu Shin, Kwanyong Park, Sanghyun Woo, In So Kweon:
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation. WACV 2023: 531-540 - 2022
- [c8]Taeyeop Lee, Byeong-Uk Lee, Inkyu Shin, Jaesung Choe, Ukcheol Shin, In So Kweon, Kuk-Jin Yoon:
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation. CVPR 2022: 14871-14880 - [c7]Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon:
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation. CVPR 2022: 16907-16916 - [c6]Joohyung Lee, Jieun Oh, Inkyu Shin, You-sung Kim, Dae Kyung Sohn, Tae-sung Kim, In So Kweon:
Moving from 2D to 3D: Volumetric Medical Image Classification for Rectal Cancer Staging. MICCAI (3) 2022: 780-790 - 2021
- [c5]Inkyu Shin, Dong-Jin Kim, Jae-Won Cho, Sanghyun Woo, KwanYong Park, In So Kweon:
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation. ICCV 2021: 8568-8578 - 2020
- [c4]Fei Pan, Inkyu Shin, François Rameau, Seokju Lee, In So Kweon:
Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision. CVPR 2020: 3763-3772 - [c3]Inkyu Shin, Sanghyun Woo, Fei Pan, In So Kweon:
Two-Phase Pseudo Label Densification for Self-training Based Domain Adaptation. ECCV (13) 2020: 532-548 - [c2]KwanYong Park, Sanghyun Woo, Inkyu Shin, In So Kweon:
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation. NeurIPS 2020 - 2019
- [c1]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
Informal and Other Publications
- 2024
- [i18]Sanghyun Woo, Kwanyong Park, Inkyu Shin, Myungchul Kim, In So Kweon:
MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark. CoRR abs/2403.20225 (2024) - [i17]Inkyu Shin, Qihang Yu, Xiaohui Shen, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen:
Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting. CoRR abs/2406.02541 (2024) - 2023
- [i16]Daehan Kim, Minseok Seo, Kwanyong Park, Inkyu Shin, Sanghyun Woo, In-So Kweon, Dong-Geol Choi:
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation. CoRR abs/2303.09779 (2023) - [i15]Taeyeop Lee, Jonathan Tremblay, Valts Blukis, Bowen Wen, Byeong-Uk Lee, Inkyu Shin, Stan Birchfield, In So Kweon, Kuk-Jin Yoon:
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation. CoRR abs/2303.16730 (2023) - [i14]Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen:
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. CoRR abs/2304.04694 (2023) - [i13]Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen:
MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation. CoRR abs/2311.18537 (2023) - 2022
- [i12]Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon:
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation. CoRR abs/2204.12667 (2022) - [i11]Joohyung Lee, Jieun Oh, Inkyu Shin, You-sung Kim, Dae Kyung Sohn, Tae-sung Kim, In So Kweon:
Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging. CoRR abs/2209.05771 (2022) - [i10]Muhammad Jehanzeb Mirza, Inkyu Shin, Wei Lin, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Horst Possegger, Mateusz Kozinski, In So Kweon, Kuk-Jin Yoon, Horst Bischof:
MATE: Masked Autoencoders are Online 3D Test-Time Learners. CoRR abs/2211.11432 (2022) - [i9]Sungsu Hur, Inkyu Shin, KwanYong Park, Sanghyun Woo, In So Kweon:
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation. CoRR abs/2212.08355 (2022) - [i8]Junha Song, KwanYong Park, Inkyu Shin, Sanghyun Woo, In So Kweon:
CD-TTA: Compound Domain Test-time Adaptation for Semantic Segmentation. CoRR abs/2212.08356 (2022) - 2021
- [i7]Inkyu Shin, KwanYong Park, Sanghyun Woo, In So Kweon:
Unsupervised Domain Adaptation for Video Semantic Segmentation. CoRR abs/2107.11052 (2021) - [i6]Inkyu Shin, Dong-Jin Kim, Jae-Won Cho, Sanghyun Woo, KwanYong Park, In So Kweon:
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation. CoRR abs/2108.05570 (2021) - [i5]KwanYong Park, Sanghyun Woo, Inkyu Shin, In So Kweon:
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation. CoRR abs/2110.04111 (2021) - [i4]Taeyeop Lee, Byeong-Uk Lee, Inkyu Shin, Jaesung Choe, Ukcheol Shin, In So Kweon, Kuk-Jin Yoon:
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation. CoRR abs/2111.12580 (2021) - 2020
- [i3]Fei Pan, Inkyu Shin, François Rameau, Seokju Lee, In So Kweon:
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision. CoRR abs/2004.07703 (2020) - [i2]Inkyu Shin, Sanghyun Woo, Fei Pan, In-So Kweon:
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation. CoRR abs/2012.04828 (2020) - 2018
- [i1]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)
Coauthor Index
aka: In So Kweon
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