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Inkyu Shin
Inkyu Shin
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
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
2572020
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
982019
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
552020
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
232021
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
202020
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
62022
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
52022
Unsupervised domain adaptation for video semantic segmentation
I Shin, K Park, S Woo, IS Kweon
arXiv preprint arXiv:2107.11052, 2021
42021
Learning representations by contrasting clusters while bootstrapping instances
J Lee, H Lee, I Shin, J Bae, IS Kweon, J Choo
1
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
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
2022
MATE: Masked Autoencoders are Online 3D Test-Time Learners
MJ Mirza, I Shin, W Lin, A Schriebl, K Sun, J Choe, H Possegger, ...
arXiv preprint arXiv:2211.11432, 2022
2022
MATE: Masked Autoencoders are Online 3D Test-Time Learners
M Jehanzeb Mirza, I Shin, W Lin, A Schriebl, K Sun, J Choe, H Possegger, ...
arXiv e-prints, arXiv: 2211.11432, 2022
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
Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022
2022
KAIST-MTMC: A New Large-Scale Multi-Target Multiple Camera Tracking Benchmark
S Woo, K Park, I Shin, M Kim, J Yoon, H Cho, SM Choi, H Kim, IS Kweon
Buyu Liu3 Sparsh Garg3 In So Kweon1 Kuk-Jin Yoon1 1KAIST 2Phiar Technologies 3NEC Laboratories America
I Shin, YH Tsai, B Zhuang, S Schulter
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