Search Results - "Kim, Min H"

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  1. 1

    Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior by Wang, Lizhi, Sun, Chen, Fu, Ying, Kim, Min H., Huang, Hua

    “…Regularization is a fundamental technique to solve an ill-posed optimization problem robustly and is essential to reconstruct compressive hyperspectral images…”
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    Conference Proceeding
  2. 2

    Automated Visual Inspection of Defects in Transparent Display Layers Using Light-Field 3-D Imaging by Jang, Hyeonjoong, Cho, Sanghoon, Jeon, Daniel S., Kang, Dahyun, Song, Myeongho, Park, Changhyun, Kim, Jaewon, Kim, Min H.

    “…Since a display panel comprises multiple layered components, defects may occur within different layers through manufacturing processes. Traditional visual…”
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    Journal Article
  3. 3

    Miniaturized and Wireless Optical Neurotransmitter Sensor for Real-Time Monitoring of Dopamine in the Brain by Kim, Min H, Yoon, Hargsoon, Choi, Sang H, Zhao, Fei, Kim, Jongsung, Song, Kyo D, Lee, Uhn

    Published in Sensors (Basel, Switzerland) (10-11-2016)
    “…Real-time monitoring of extracellular neurotransmitter concentration offers great benefits for diagnosis and treatment of neurological disorders and diseases…”
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    Journal Article
  4. 4

    Are Multi-view Edges Incomplete for Depth Estimation? by Khan, Numair, Kim, Min H., Tompkin, James

    Published in International journal of computer vision (01-07-2024)
    “…Depth estimation tries to obtain 3D scene geometry from low-dimensional data like 2D images. This is a vital operation in computer vision and any general…”
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    Journal Article
  5. 5

    Characterization for High Dynamic Range Imaging by Kim, Min H., Kautz, Jan

    Published in Computer graphics forum (01-04-2008)
    “…In this paper we present a new practical camera characterization technique to improve color accuracy in high dynamic range (HDR) imaging. Camera…”
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    Journal Article
  6. 6

    Extreme View Synthesis by Choi, Inchang, Gallo, Orazio, Troccoli, Alejandro, Kim, Min H., Kautz, Jan

    “…We present Extreme View Synthesis, a solution for novel view extrapolation that works even when the number of input images is small---as few as two. In this…”
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    Conference Proceeding
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    Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics by Baek, Seung-Hwan, Ikoma, Hayato, Jeon, Daniel S., Li, Yuqi, Heidrich, Wolfgang, Wetzstein, Gordon, Kim, Min H.

    “…Imaging depth and spectrum have been extensively studied in isolation from each other for decades. Recently, hyperspectral-depth (HS-D) imaging emerges to…”
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    Conference Proceeding
  10. 10

    Reconstructing Interlaced High-Dynamic-Range Video Using Joint Learning by Inchang Choi, Seung-Hwan Baek, Kim, Min H.

    Published in IEEE transactions on image processing (01-11-2017)
    “…For extending the dynamic range of video, it is a common practice to capture multiple frames sequentially with different exposures and combine them to extend…”
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    Journal Article
  11. 11

    PaperCraft3D: Paper-Based 3D Modeling and Scene Fabrication by Paczkowski, Patrick, Dorsey, Julie, Rushmeier, Holly, Kim, Min H.

    “…A 3D modeling system with all-inclusive functionality is too demanding for a casual 3D modeler to learn. There has been a shift towards more approachable…”
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    Journal Article
  12. 12

    Differentiable Diffusion for Dense Depth Estimation from Multi-view Images by Khan, Numair, Kim, Min H., Tompkin, James

    “…We present a method to estimate dense depth by optimizing a sparse set of points such that their diffusion into a depth map minimizes a multi-view reprojection…”
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    Conference Proceeding
  13. 13

    Microlens array camera with variable apertures for single-shot high dynamic range (HDR) imaging by Cha, Young-Gil, Kim, Hyun-Kyung, Kwon, Jae-Myeong, Huh, Seok-Haeng, Jo, Seung-Un, Kim, Chang-Hwan, Kim, Min H., Jeong, Ki-Hun

    Published in Optics express (28-08-2023)
    “…We report a microlens array camera with variable apertures (MACVA) for high dynamic range (HDR) imaging by using microlens arrays with various sizes of…”
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    Journal Article
  14. 14

    Spatio-Focal Bidirectional Disparity Estimation from a Dual-Pixel Image by Kim, Donggun, Jang, Hyeonjoong, Kim, Inchul, Kim, Min H.

    “…Dual-pixel photography is monocular RGB-D photography with an ultra-high resolution, enabling many applications in computational photography. However, there…”
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    Conference Proceeding
  15. 15

    Strand-Accurate Multi-View Hair Capture by Nam, Giljoo, Wu, Chenglei, Kim, Min H., Sheikh, Yaser

    “…Hair is one of the most challenging objects to reconstruct due to its micro-scale structure and a large number of repeated strands with heavy occlusions. In…”
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    Conference Proceeding
  16. 16

    Real-Time Sphere Sweeping Stereo from Multiview Fisheye Images by Meuleman, Andreas, Jang, Hyeonjoong, Jeon, Daniel S., Kim, Min H.

    “…A set of cameras with fisheye lenses have been used to capture a wide field of view. The traditional scan-line stereo algorithms based on epipolar geometry are…”
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    Conference Proceeding
  17. 17

    Progressively Optimized Local Radiance Fields for Robust View Synthesis by Meuleman, Andreas, Liu, Yu-Lun, Gao, Chen, Huang, Jia-Bin, Kim, Changil, Kim, Min H., Kopf, Johannes

    “…We present an algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video. The task poses two core challenges…”
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    Conference Proceeding
  18. 18

    Multisampling Compressive Video Spectroscopy by Jeon, Daniel S., Choi, Inchang, Kim, Min H.

    Published in Computer graphics forum (01-05-2016)
    “…The coded aperture snapshot spectral imaging (CASSI) architecture has been employed widely for capturing hyperspectral video. Despite allowing concurrent…”
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    Journal Article
  19. 19

    High-Accuracy Image Formation Model for Coded Aperture Snapshot Spectral Imaging by Song, Lingfei, Wang, Lizhi, H. Kim, Min, Huang, Hua

    “…Coded aperture snapshot spectral imaging (CASSI) is based on the binary modulation of the spatial-spectral scene, which allows for hyperspectral image…”
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    Journal Article
  20. 20

    Progressive Acquisition of SVBRDF and Shape in Motion by Ha, Hyunho, Baek, Seung‐Hwan, Nam, Giljoo, Kim, Min H.

    Published in Computer graphics forum (01-09-2020)
    “…To estimate appearance parameters, traditional SVBRDF acquisition methods require multiple input images to be captured with various angles of light and camera,…”
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    Journal Article