Inchul Kim

PhD Student

Inchul Kim (김인철) is a PhD student in the Visual Computing Lab, KAIST, and he received his MS degree of computer science from KAIST. Prior to joining the KAIST-VCLAB, he obtained his BS degree in Computer Science from Hanyang University with Summa Cum Laude. His research interests include various applications of computational imaging in the fields of computer graphics and vision.

• Hyperspectral imaging
• Dehazing
• HDR video imaging

• Kiseok Choi, Inchul Kim, Dongyoung Choi, Julio Marco, Diego Gutierrez, Min H. Kim (2023), “Self-Calibrating, Fully Differentiable NLOS Inverse Rendering,” presented at SIGGRAPH Asia 2023, Dec. 12 -- 15, 2023

• 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

• Ana Serrano, Incheol Kim, Zhili Chen, Stephen DiVerdi, Diego Gutierrez, Aaron Hertzmann, Belen Masia (2019), "Motion parallax for 360° RGBD video," IEEE Transactions on Visualization and Computer Graphics (TVCG), 25(5), pp. 1817--1827

• Seung-Hwan Baek, Incheol Kim, Diego Gutierrez, Min H. Kim (2017), "Compact Single-Shot Hyperspectral Imaging Using a Prism," ACM Transactions on Graphics (TOG), 36(6), Nov. 27-30, 2017, pp. 217:1--12, presented at SIGGRAPH Asia 2017

• Incheol Kim, Min H. Kim (2017), "Non-local Haze Propagation with an Iso-Depth Prior," Computer Vision, Imaging and Computer Graphics – Theory and Applications, in a series of Springer Communications in Computer and Information Science, Jan. 23 2019, pp. 213--238

• Incheol Kim, Min H. Kim (2017), "Dehazing using Non-Local Regularization with Iso-Depth Neighbor-Fields," Proc. Int. Conf. on Computer Vision, Theory and Applications (VISAPP 2017), Feb. 27 - Mar. 1, 2017, to appear (full paper, oral presentation)