VCLab

 

RESEARCH AREAS   PEOPLE   PUBLICATIONS   COURSES   ABOUT US
Home / People / Inchang Choi

indicator

 

shadow profile
shadow

Inchang Choi

PhD Student

[e-mail]
[phone] +82-42-350-7864
[website] http://www.inchangchoi.info

Inchang Choi (최인창) is a PhD student in Visual Computing Lab. at KAIST. Before joining VCLAB, I obtained my master degree in School of Computing, KAIST. His research interests include overall image processing, computer vision and machine learning, and computer graphics. 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

 

  • 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).

 

   

© Visual Computing Laboratory, School of Computing, KAIST. All rights reserved.

KAIST