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minki jeong
minki jeong
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Diversify and match: A domain adaptive representation learning paradigm for object detection
T Kim, M Jeong, S Kim, S Choi, C Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
3212019
Meta batch-instance normalization for generalizable person re-identification
S Choi, T Kim, M Jeong, H Park, C Kim
Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2021
1352021
Pseudo-labeling curriculum for unsupervised domain adaptation
J Choi, M Jeong, T Kim, C Kim
arXiv preprint arXiv:1908.00262, 2019
1052019
Large-scale 3d shape reconstruction and segmentation from shapenet core55
L Yi, L Shao, M Savva, H Huang, Y Zhou, Q Wang, B Graham, M Engelcke, ...
arXiv preprint arXiv:1710.06104, 2017
702017
Few-shot open-set recognition by transformation consistency
M Jeong, S Choi, C Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
542021
Explore and match: End-to-end video grounding with transformer
S Woo, J Park, I Koo, S Lee, M Jeong, C Kim
arXiv preprint arXiv:2201.10168 4 (5), 2022
102022
Contrastive accelerometer–gyroscope embedding model for human activity recognition
I Koo, Y Park, M Jeong, C Kim
IEEE Sensors Journal 23 (1), 506-513, 2022
62022
3D convolutional neural networks for soccer object motion recognition
J Lee, Y Kim, M Jeong, C Kim, DW Nam, JS Lee, S Moon, WY Yoo
2018 20th International Conference on Advanced Communication Technology …, 2018
62018
Self-training of graph neural networks using similarity reference for robust training with noisy labels
H Park, M Jeong, Y Kim, C Kim
2020 IEEE International Conference on Image Processing (ICIP), 1951-1955, 2020
32020
Explore-and-match: Bridging proposal-based and proposal-free with transformer for sentence grounding in videos
S Woo, J Park, I Koo, S Lee, M Jeong, C Kim
arXiv preprint arXiv:2201.10168, 2022
22022
Effect of using object shape prior on visual object counting
M Jeong, C Kim
2018 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2018
22018
Soccer object motion recognition based on 3D convolutional neural networks.
JW Lee, DW Nam, WY Yoo, Y Kim, M Jeong, C Kim
FedCSIS (Communication Papers), 129-134, 2018
22018
Improving few-shot learning with weakly-supervised object localization
I Koo, M Jeong, C Kim
arXiv preprint arXiv:2105.11715, 2021
12021
Supplementary Material of Few-shot Open-set Recognition by Transformation Consistency
M Jeong, S Choi, C Kim
Supplementary material for" Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation
J Choi, M Jeong, T Kim, C Kim
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학술자료 1–15