Inchul (Incheol) Kim

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

Email  /  CV  /  Google Scholar  /  Github

Self-Calibrating, Fully Differentiable NLOS Inverse Rendering
, Inchul Kim, , , ,
Proc. 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
, , Inchul Kim,
Proc. IEEE/CVF 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
, Incheol Kim, , , , ,
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,
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
, Incheol Kim, ,
ACM Transactions on Graphics (TOG), presented at SIGGRAPH Asia, 2017  

Project / Paper / Supplemental1 / Supplemental2 / Slides / ACM DL / bibtex

Press release: EurekAlert! / Photonics / Tech. Breaking News / 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,
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 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.