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2020 – today
- 2023
[j5]Jeongbeom Seo, Dayeon Kim, Inwon Lee:
A study on ship hull form transformation using convolutional autoencoder. J. Comput. Des. Eng. 11(1): 34-48 (2023)- 2021
- [j4]Miyeon Jeon, Yoojeong Noh, Kyunghwan Jeon, Sangbong Lee, Inwon Lee
:
Data gap analysis of ship and maritime data using meta learning. Appl. Soft Comput. 101: 107048 (2021)
2000 – 2009
- 2008
- [j3]Sang-Woo Ban, Inwon Lee, Minho Lee:
Dynamic visual selective attention model. Neurocomputing 71(4-6): 853-856 (2008) - 2007
- [j2]Valery G. Chernoray, Victor V. Kozlov, Inwon Lee, Ho Hwan Chun:
Influence of an unfavourable pressure gradient on the breakdown of boundary layer streaks. J. Vis. 10(2): 217-225 (2007) - [j1]Kyung Chun Kim, Young Uk Min, Sung Jin Oh, Nam Hyun An, Basel Seoudi, Ho Hwan Chun, Inwon Lee:
Time-resolved PIV investigation on the unsteadiness of a low reynolds number confined impinging jet. J. Vis. 10(4): 367-379 (2007) - [c3]Jiyoung Yeo, Sang-Woo Ban, Inwon Lee, Minho Lee:
Incremental Feature Extraction and Object Representation Based on Dynamic Visual Selective Attention. IC-AI 2007: 829-834 - 2006
- [c2]Inwon Lee, Sang-Woo Ban, Kunihiko Fukushima, Minho Lee:
Selective Motion Analysis Based on Dynamic Visual Saliency Map Model. ICAISC 2006: 814-822 - 2005
- [c1]Inwon Lee, Byoung-Ju Yun, Minho Lee:
Optical Flow based Motion Detection using Biologically Motivated Selective Attention Model. Artificial Intelligence and Applications 2005: 515-520
Coauthor Index
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