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Dae-Eun Kim
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2020 – today
- 2024
- [c4]Dae-Eun Kim, Healyim Lee, Sue-kyeong Lee, Seok-Jin Eom:
Conditions for AI systems adoption in public sector: From an accountability perspective. DG.O 2024: 42-51 - 2023
- [c3]Dae-Eun Kim, Changki Hong, Woo-Hyun Kim:
Efficient Transformer-based Knowledge Tracing for a Personalized Language Education Application. L@S 2023: 336-340 - 2020
- [j1]Dae-Eun Kim, Munchurl Kim:
Learning-Based Low-Complexity Reverse Tone Mapping With Linear Mapping. IEEE Trans. Circuits Syst. Video Technol. 30(2): 400-414 (2020)
2010 – 2019
- 2018
- [c2]Soo Ye Kim, Dae-Eun Kim, Munchurl Kim:
ITM-CNN: Learning the Inverse Tone Mapping from Low Dynamic Range Video to High Dynamic Range Displays Using Convolutional Neural Networks. ACCV (3) 2018: 395-409 - 2017
- [c1]Dae-Eun Kim, Munchurl Kim:
Linear mapping based inverse tone mapping. Computational Imaging 2017: 55-61
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last updated on 2024-08-22 20:53 CEST by the dblp team
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