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Young-geun Kim
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Journal Articles
- 2023
- [j2]Young-geun Kim, Kyungbok Lee, Myunghee Cho Paik:
Conditional Wasserstein Generator. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7208-7219 (2023) - 2019
- [j1]Young-geun Kim, Yongchan Kwon, Myunghee Cho Paik:
Valid oversampling schemes to handle imbalance. Pattern Recognit. Lett. 125: 661-667 (2019)
Conference and Workshop Papers
- 2021
- [c4]Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik:
Kernel-convoluted Deep Neural Networks with Data Augmentation. AAAI 2021: 8155-8162 - 2020
- [c3]Young-geun Kim, Yongchan Kwon, Hyunwoong Chang, Myunghee Cho Paik:
Lipschitz Continuous Autoencoders in Application to Anomaly Detection. AISTATS 2020: 2507-2517 - 2004
- [c2]Young-geun Kim, Hakil Kim:
Layered Ground Floor Detection for Vision-based Mobile Robot Navigation. ICRA 2004: 13-18 - 2003
- [c1]Young-geun Kim, Hakil Kim:
Dense 3D map building for autonomous mobile robots. CIRA 2003: 169-174
Informal and Other Publications
- 2023
- [i2]Young-geun Kim, Kyungbok Lee, Youngwon Choi, Joong-Ho Won, Myunghee Cho Paik:
Wasserstein Geodesic Generator for Conditional Distributions. CoRR abs/2308.10145 (2023) - 2020
- [i1]Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik:
Kernel-convoluted Deep Neural Networks with Data Augmentation. CoRR abs/2012.02521 (2020)
Coauthor Index
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