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Donggun Kim
PhD Student
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[e-mail]
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[phone] +82-42-350-7864 |
[webpage] https://sites.google.com/view/dgkim03 |
Donggun Kim (김동건) is a PhD student in the Visual Computing Lab, KAIST and received his Master degree in Computer Science from KAIST in 2021. Prior to coming to the KAIST-VCLAB, he received his MS degree of Civil and Environmental Engineering from KAIST, and his BS degree of Civil and Environmental Engineering from KAIST. His research interests include various applications of computer graphics and vision.
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Research Interests: Computer Graphics and Vision
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- 3D imaging
- Transient rendering
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Representative Publications
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Donggun Kim, Hyeonjoong Jang, Inchul Kim, Min H. Kim (2023) “Spatio-Focal Bidirectional Disparity Estimation from a Dual-Pixel Image,” Proc. IEEE Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, Jun. 18 – 22, 2023
- Hyeonjoong Jang, Andréas Meuleman, Dahyun Kang, Donggun Kim, Christian Richardt, Min H. Kim (2022), “Egocentric Scene Reconstruction From an Omnidirectional Video,” ACM Transactions on Graphics (TOG), presented at SIGGRAPH 2022, 41(4)
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Shinyoung Yi, Donggun Kim, Kiseok Choi, Adrian Jarabo, Diego Gutierrez, Min H. Kim (2021), “Differentiable Transient Rendering,” ACM Transactions on Graphics (TOG), presented at SIGGRAPH Asia 2021, 40(6), Dec. 14 - Dec. 17, 2021
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Donggun Kim, Yonghak Kwak, Hoon Sohn (2020) “Accelerated Cable-stayed Bridge Construction using Terrestrial Laser Scanning”, Automation in Construction (SCI(E), IF: 5.669), Vol. 177, 103269, https://doi.org/10.1016/j.autcon.2020.103269
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Ying Xu, Soonkyu Hwang, Qingyuan Wang, Donggun Kim, Congcong Luo, Jinyeol Yang, Hoon Sohn (2020) “Laser Active Thermography for Debonding Detection in FRP Retrofitted Concrete Structures”, NDT&E International (SCI(E), IF: 3.461), Vol. 114, 102285, https://doi.org/10.1016/j.ndteint.2020.102285
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Donggun Kim, Hoon Sohn (2018) “Monitoring of Pre-stressed Concrete Girder Deflection using Terrestrial Laser Scanner”, The 31st KKHTCNN Symposium on Civil Engineering, November 22-24, 2018, Kyoto, Japan.
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© Visual Computing Laboratory, School of Computing, KAIST.
All rights reserved.
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