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Kwangrok Ryoo
Kwangrok Ryoo
LG AI Research
Verified email at lgresearch.ai
Title
Cited by
Cited by
Year
3d gan inversion with pose optimization
J Ko, K Cho, D Choi, K Ryoo, S Kim
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
492023
Conmatch: Semi-supervised learning with confidence-guided consistency regularization
J Kim, Y Min, D Kim, G Lee, J Seo, K Ryoo, S Kim
European Conference on Computer Vision, 674-690, 2022
302022
Semi-supervised learning of semantic correspondence with pseudo-labels
J Kim, K Ryoo, J Seo, G Lee, D Kim, H Cho, S Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
162022
SplitNet: learnable clean-noisy label splitting for learning with noisy labels
D Kim, K Ryoo, H Cho, S Kim
arXiv preprint arXiv:2211.11753, 2022
32022
Towards flexible inductive bias via progressive reparameterization scheduling
Y Lee, G Lee, K Ryoo, H Go, J Park, S Kim
European Conference on Computer Vision, 706-720, 2022
32022
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning
J Kim, K Ryoo, G Lee, S Cho, J Seo, D Kim, H Cho, S Kim
arXiv preprint arXiv:2201.10444, 2022
22022
Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection
K Ryoo, Y Jo, S Lee, M Kim, A Jo, SH Kim, S Kim, S Lee
arXiv preprint arXiv:2312.13822, 2023
2023
Unsupervised Open-Set Task Adaptation Using a Vision-Language Foundation Model
Y Min, K Ryoo, B Kim, T Kim
UOTA: Unsupervised Open-Set Task Adaptation Using a Vision-Language Foundation Model
Y Min, K Ryoo, B Kim, T Kim
Workshop on Efficient Systems for Foundation Models@ ICML2023, 0
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Articles 1–9