Inchul Kim

Inchul (Incheol) Kim

I am a PhD student of the Visual Computing Lab at the Korea Advanced Institute of Science and Technology (KAIST), South Korea, under supervision of Prof. Min H. Kim.

Current research fields: hyperspectral imaging, learning-based image reconstruction, computational imaging

Email / CV / Google Scholar / Github

Publications

	Self-Calibrating, Fully Differentiable NLOS Inverse Rendering Kiseok Choi, Inchul Kim, Dongyoung Choi, Julio Marco, Diego Gutierrez, Min H. Kim Proceedings of ACM SIGGRAPH Asia, 2023 Project / Paper / Supplemental / Code / ACM DL / bibtex We present a flexible, differentiable non-line-of-sight (NLOS) imaging and rendering pipeline that automatically estimates system parameters and the geometry of hidden objects.
	Spatio-Focal Bidirectional Disparity Estimation from a Dual-Pixel Image Donggun Kim, Hyeonjoong Jang, Inchul Kim, Min H. Kim IEEE Computer Vision and Pattern Recognition (CVPR), 2023 Project / Paper / Supplemental / Code / IEEE Xplore / bibtex We estimate bidirectional disparities from a dual-pixel image by a network using self-supervised learning. Our method based on the dual-pixel optics produces more physically correct results.
	Motion parallax for 360° RGBD video Ana Serrano, Incheol Kim, Zhili Chen, Stephen DiVerdi, Diego Gutierrez, Aaron Hertzmann, Belen Masia IEEE Transactions on Visualization and Computer Graphics (TVCG), Proc. IEEE VR, 2019 (Best journal paper nominee) Project / Paper / Supplemental / Slides / Code / IEEE Xplore / bibtex Our VR video viewer exploits motion parallax cues to reduce VR sickness without additional hardware requirements. Our system provides a compelling viewing experience with reduced discomfort.
	Non-local Haze Propagation with an Iso-Depth Prior Incheol Kim, Min H. Kim Computer Vision, Imaging and Computer Graphics - Theory and Applications, 2019 Project / Paper / Supplemental / Code / Springer DL / bibtex More experiments and validations have been added on top of our non-local haze regularization paper in 2017.
	Compact Single-Shot Hyperspectral Imaging Using a Prism Seung-Hwan Baek, Incheol Kim, Diego Gutierrez, Min H. Kim ACM Transactions on Graphics (TOG), presented at SIGGRAPH Asia, 2017 Project / Paper / Supplemental1 / Supplemental2 / Slides / ACM DL / bibtex Press release: EurekAlert! / Photonics / R&D Magazine Patent registered: US Patent / European Patent / PCT Patent Our compact snapshot hyperspectral imaging (HSI) system enables hand-held imaging spectroscopy, and shows strong performance over large HSI systems.
	Dehazing using Non-Local Regularization with Iso-Depth Neighbor-Fields Incheol Kim, Min H. Kim International Conference on Computer Vision, Theory and Applications (VISAPP), 2017 (Oral Presentation) Project / Paper / Supplemental / Code / bibtex Our haze regularization exploits non-local information from nearest-neighbor fields and shows the state-of-the-art performance.

Teaching

	Teaching Assistant, KAIST-CS484 (Introduction to Computer Vision), Fall 2024
	Teaching Assistant, KAIST-CS485 (Machine Learning for Computer Vision), Fall 2023
	Teaching Assistant, KAIST-CS580 (Computer Graphics), Spring 2023
	Teaching Assistant, KAIST-CS482 (Interactive Computer Graphics), Fall 2022

My website has been built upon Jon Barron's code.