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Younggeun Kim
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Younggeun Kim 0001
(aka: Young-geun Kim 0001, Young Geun Kim 0001) — Korea University, Department of Computer Science, Seoul, Korea
- Younggeun Kim 0002
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2020 – today
- 2025
- [c12]Hyegang Son, Yonglak Son, Changhoon Kim, Young Geun Kim:
Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models. NAACL (Long Papers) 2025: 9479-9496 - 2024
- [c11]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 - [i6]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) - [i5]Xinyuan Zheng, Orren Ravid, Robert A. J. Barry, Yoojean Kim, Qian Wang, Young-geun Kim, Xi Zhu, Xiaofu He:
Denoising Variational Autoencoder as a Feature Reduction Pipeline for the diagnosis of Autism based on Resting-state fMRI. CoRR abs/2410.00068 (2024) - 2023
- [c10]Young-Geun Kim, Ying Liu, Xuexin Wei:
Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAE. AISTATS 2023: 2641-2660 - 2022
- [c9]Andreas Lugmayr, Martin Danelljan, Radu Timofte
NTIRE 2022 Challenge on Learning the Super-Resolution Space. CVPR Workshops 2022: 785-796 - [c8]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 - [c7]Jeeseung Park, Younggeun Kim:
Styleformer: Transformer based Generative Adversarial Networks with Style Vector. CVPR 2022: 8973-8982 - [c6]Jeong-Han Yun, Jonguk Kim, Won-Seok Hwang, Young Geun Kim, Simon S. Woo, Byung-Gil Min:
Residual size is not enough for anomaly detection: improving detection performance using residual similarity in multivariate time series. SAC 2022: 87-96 - [i4]Young-Geun Kim, Ying Liu, Xuexin Wei:
Covariate-informed Representation Learning with Samplewise Optimal Identifiable Variational Autoencoders. CoRR abs/2202.04206 (2022) - [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
- [c5]Younggeun Kim, Donghee Son:
Noise Conditional Flow Model for Learning the Super-Resolution Space. CVPR Workshops 2021: 424-432 - [c4]Young Geun Kim, Jeong-Han Yun, Siho Han
Revitalizing Self-Organizing Map: Anomaly Detection Using Forecasting Error Patterns. SEC 2021: 382-397 - [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)
2010 – 2019
- 2014
- [j2]Young-Geun Kim, In-So Kweon:
Image-Optimized Rolling Cache: Reducing the Miss Penalty for Memory-Intensive Vision Algorithms. IEEE Trans. Circuits Syst. Video Technol. 24(3): 539-551 (2014) - [c3]Donghoon Kim, Hanguen Kim, Hyungjin Kim, Jae-Uk Shin, Hyun Myung
Path Planning for Multi-agent Jellyfish Removal Robot System JEROS and Experimental Tests. DARS 2014: 299-310 - 2011
- [j1]Young-Geun Kim, Venkata Ravisankar Jayanthi, In-So Kweon:
System-on-Chip Solution of Video Stabilization for CMOS Image Sensors in Hand-Held Devices. IEEE Trans. Circuits Syst. Video Technol. 21(10): 1401-1414 (2011)
2000 – 2009
Coauthor Index
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