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2020 – today
- 2024
[c6]Deokgyu Yun, Junyoung Kim, Hyunsu Kim, Younggeun Kim:
A Wedge Fastening Strength Recognition System for Safety Diagnosis of Large-Capacity Generators and Propulsion Systems For Navy Vessels. BigComp 2024: 399-400- [c5]Chanwoo Cho
, Yonglak Son, Seongbin Park, Younggeun Kim:
CLOVER: Carbon Optimization of Federated Learning over Heterogeneous Clients. ISLPED 2024: 1-6 - [i4]Changho Choi, Minho Kim, Junhyeok Lee, Hyoung-Kyu Song, Younggeun Kim, Seungryong Kim:
LatentSwap: An Efficient Latent Code Mapping Framework for Face Swapping. CoRR abs/2402.18351 (2024) - 2022
- [c4]Andreas Lugmayr, Martin Danelljan, Radu Timofte, Kang-Wook Kim, Younggeun Kim, Jae-Young Lee, Zechao Li, Jinshan Pan, Dongseok Shim, Ki-Ung Song, Jinhui Tang, Cong Wang, Zhihao Zhao:
NTIRE 2022 Challenge on Learning the Super-Resolution Space. CVPR Workshops 2022: 785-796 - [c3]Ki-Ung Song, Dongseok Shim, Kang-Wook Kim, Jae-Young Lee, Younggeun Kim:
FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow. CVPR Workshops 2022: 967-976 - [c2]Jeeseung Park, Younggeun Kim:
Styleformer: Transformer based Generative Adversarial Networks with Style Vector. CVPR 2022: 8973-8982 - [i3]Ki-Ung Song, Dongseok Shim, Kang-Wook Kim, Jae Young Lee, Younggeun Kim:
FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow. CoRR abs/2204.09679 (2022) - 2021
- [c1]Younggeun Kim, Donghee Son:
Noise Conditional Flow Model for Learning the Super-Resolution Space. CVPR Workshops 2021: 424-432 - [i2]Younggeun Kim, Donghee Son:
Noise Conditional Flow Model for Learning the Super-Resolution Space. CoRR abs/2106.04428 (2021) - [i1]Jeeseung Park, Younggeun Kim:
Styleformer: Transformer based Generative Adversarial Networks with Style Vector. CoRR abs/2106.07023 (2021)
Coauthor Index
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