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Inchang Choi

Postdoctoral Researcher

[phone] +82-42-350-7864

Inchang Choi (최인창) is a postdoctoral researcher in Visual Computing Lab. at KAIST. He received his PhD degree in Computer Science from KAIST in 2019. Before joining VCLAB, he obtained his master degree in School of Computing, KAIST. In particular, he is interested in low-level computer vision problems including image super-resolution, image matting, HDR imaging, hyperspectral imaging, and other image reconstruction methods. He is also attracted by representation learning, generative models, and deep neural networks.


Research Interests: Computer Vision and Machine Learning


  • Learning-based computational imaging
  • Hyperspectral imaging
  • High-dynamic-range imaging




Representative Publications


  • Daniel S. Jeon, Seung-Hwan Baek, Inchang Choi, Min H. Kim (2018), “Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior,” Proc. IEEE Computer Vision and Pattern Recognition (CVPR) 2018, Salt Lake City, USA, June 18, 2018.

  • Inchang Choi, Daniel S. Jeon, Giljoo Nam, Diego Gutierrez, Min H. Kim (2017), “High-Quality Hyperspectral Reconstruction Using a Spectral Prior,” ACM Transactions on Graphics (ACM TOG), presented at SIGGRAPH Asia 2017, 36(6), Nov. 27, 2017., pp. 218:1--13.

  • Inchang Choi, Seung-Hwan Baek, Min H. Kim (2017), “Reconstructing Interlaced High-Dynamic-Range Video using Joint Learning,” IEEE Transactions on Image Processing (IEEE TIP), 26(11), Nov. 2017, pp. 5353 - 5366.

  • Seung-Hwan Baek, Inchang Choi, Min H. Kim (2016), "Multiview Image Completion with Space Structure Propagation," Proc. IEEE Computer Vision and Pattern Recognition (CVPR) 2016, Las Vegas, USA, June 26–30.

  • Joo Ho Lee, Inchang Choi, Min H. Kim (2016), "Laplacian Patch-Based Image Synthesis," Proc. IEEE Computer Vision and Pattern Recognition (CVPR) 2016, Las Vegas, USA, June 26–30.

  • Daniel S. Jeon, Inchang Choi, Min H. Kim (2016), "Multisampling Compressive Video Spectroscopy," Computer Graphics Forum (CGF), presented at EUROGRAPHICS 2016, May 2016, 35 (2), 11 pages.

  • Inchang Choi, Minhaeng Lee, Yu-Wing Tai (2012), "Video Matting Using Multi-Frame Nonlocal Matting Laplacian," Proc. European Conference on Computer Vision (ECCV 2012).

  • Inchang Choi, Sunyeong Kim, Michael S. Brown, Yu-Wing Tai (2013), "A Learning-Based Approach to Reduce JPEG Artifacts in Image Matting", IEEE International Conference on Computer Vision (ICCV 2013).



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