Unsupervised intra-domain adaptation for semantic segmentation through self-supervision F Pan, I Shin, F Rameau, S Lee, IS Kweon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 349 | 2020 |
Image-to-image translation via group-wise deep whitening-and-coloring transformation W Cho, S Choi, DK Park, I Shin, J Choo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 128 | 2019 |
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation I Shin, S Woo, P F, IS Kweon Proceedings of the European conference on computer vision (ECCV), 2020 | 97 | 2020 |
MM-TTA: multi-modal test-time adaptation for 3d semantic segmentation I Shin, YH Tsai, B Zhuang, S Schulter, B Liu, S Garg, IS Kweon, KJ Yoon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 35 | 2022 |
Labor: Labeling only if required for domain adaptive semantic segmentation I Shin, DJ Kim, JW Cho, S Woo, K Park, IS Kweon Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 32 | 2021 |
Discover, hallucinate, and adapt: Open compound domain adaptation for semantic segmentation K Park, S Woo, I Shin, IS Kweon Advances in Neural Information Processing Systems 33, 10869-10880, 2020 | 29 | 2020 |
UDA-COPE: unsupervised domain adaptation for category-level object pose estimation T Lee, BU Lee, I Shin, J Choe, U Shin, IS Kweon, KJ Yoon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 19 | 2022 |
Unsupervised intra-domain adaptation for semantic segmentation through self-supervision. 2020 IEEE F Pan, I Shin, F Rameau, S Lee, IS Kweon CVF Conference on Computer Vision and Pattern Recognition (CVPR) 3, 2020 | 9 | 2020 |
Unsupervised domain adaptation for video semantic segmentation I Shin, K Park, S Woo, IS Kweon arXiv preprint arXiv:2107.11052, 2021 | 8 | 2021 |
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation T Lee, J Tremblay, V Blukis, B Wen, BU Lee, I Shin, S Birchfield, IS Kweon, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation S Hur, I Shin, K Park, S Woo, IS Kweon Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 3 | 2023 |
Mate: Masked autoencoders are online 3d test-time learners MJ Mirza, I Shin, W Lin, A Schriebl, K Sun, J Choe, M Kozinski, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
CD-TTA: Compound Domain Test-time Adaptation for Semantic Segmentation J Song, K Park, I Shin, S Woo, IS Kweon arXiv preprint arXiv:2212.08356, 2022 | 3 | 2022 |
Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging J Lee, J Oh, I Shin, Y Kim, DK Sohn, T Kim, IS Kweon International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 3 | 2022 |
Video-kMaX: A simple unified approach for online and near-online video panoptic segmentation I Shin, D Kim, Q Yu, J Xie, HS Kim, B Green, IS Kweon, KJ Yoon, LC Chen arXiv preprint arXiv:2304.04694, 2023 | 1 | 2023 |
Learning representations by contrasting clusters while bootstrapping instances J Lee, H Lee, I Shin, J Bae, IS Kweon, J Choo | 1 | 2020 |
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management J Song, K Park, IK Shin, S Woo, C Zhang, IS Kweon IEEE Robotics and Automation Letters, 2023 | | 2023 |
Bidirectional domain mixup for domain adaptive semantic segmentation D Kim, M Seo, K Park, I Shin, S Woo, IS Kweon, DG Choi Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 1114-1123, 2023 | | 2023 |
Multi-modal test-time adaptation YH Tsai, B Zhuang, S Schulter, B Liu, S Garg, R Moslemi, I Shin US Patent App. 17/903,393, 2023 | | 2023 |
MATE: Masked Autoencoders are Online 3D Test-Time Learners I Shin, KJ Yoon, J Choe, IS Kweon, L Wei, S Andreas, K Mateusz, P Horst, ... International Conference on Computer Vision (ICCV) 2023, 2023 | | 2023 |