Publication

Peer-reviewed

2023

  • Minsu Kim, Yongjun Lee, Woo Kyoung Han, and K. H. Jin, “Learning Residual Elastic Warps for Image Stitching under Dirichlet Boundary Condition,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024, Accepted

  • Minsu Kim, Jaewon Lee, Byeonghun Lee, Sunghoon Im and K. H. Jin, “Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024, Accepted

  • M. Kang, P. Chikontwe, S. Kim, K. H. Jin, E. Adeli, K. M. Pohl, and Sang Hyun Park, “One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation,” Medical Image Computing and Computer Assited Interventions (MICCAI), 2023, Accepted

  • Woo Kyoung Han, Byeonghun Lee, Sang Hyun Park, and K. H. Jin, “ABCD : Arbitrary Bitwise Coefficient for De-quantization,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, [PDF, Code, Poster]

  • Byeonghyun Pak, Jaewon Lee, and K. H. Jin, “B-spline Texture Coefficients Estimator for Screen Content Image Super-Resolution,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Highlight [PDF, Code, Poster]

  • S. Shin, M. W. Kim, K. H. Jin, K. M. Yi, Y. Kohmura, T. Ishikawa, J. H. Je, and J. Park, “Deep 3D reconstruction of synchrotron X-ray computed tomography for intact lungs,” Scientific Reports 13, Article number:1738, 2023 [Link]

2022

  • Jaewon Lee, Kwang Pyo Choi, and K. H. Jin, “Learning Local Implicit Fourier Representation for Image Warping,” European Conference on Computer Vision (ECCV), 2022 [PDF, Code, Poster]

  • Jaewon Lee and K. H. Jin, “Local Texture Estimator for Implicit Representation Function,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [PDF, Code, Poster]

2021

  • J. Yoo, K. H. Jin, H. Gupta, J. Yerly, M. Stuber, and M. Unser,“Time-dependent Deep Image Prior for dynamic MRI,” IEEE Transactions on Medical Imaging in press (2021) [Link , PDF]

  • K. H. Jin, “Deep Block Transform for Autoencoders,” IEEE Signal Processing Letters, vol.28 (2021): 1016-1019. [Link , PDF]

Before 2021

  • J. Min, K. H. Jin, M. Unser, and J. C. Ye, “Grid-free localization algorithm using low-rank Hankel matrix for super-resolution microscopy,” IEEE Transactions on Image Processing 27.10 (2018): 4771-4786. [Link , PDF]

  • K. Lee, Y. Li, K. H. Jin, and J. C. Ye, “Unified Theory for Recovery of Sparse Signals in a General Transform Domain,” IEEE Transactions on Information Theory 64.8 (2018): 5457-5477. [Link]

  • H. Gupta, K. H. Jin, H. Q. Nguyen, M. T. McCann, and M. Unser, “CNN-based projected gradient descent for consistent CT image reconstruction,” IEEE Transactions on Medical Imaging 37.6 (2018): 1440-1453. [Link , PDF]

  • H. Choi, K. H. Jin, and Alzheimer's Disease Neuroimaging Initiative. “Predicting cognitive decline with deep learning of brain metabolism and amyloid imaging,” Behavioural brain research 344 (2018): 103-109.

  • K. H. Jin and J. C. Ye. “Sparse and low-rank decomposition of a Hankel structured matrix for impulse noise removal,” IEEE Transactions on Image Processing 27.3 (2017): 1448-1461. [Link , PDF]

  • M. T. McCann, K. H. Jin, and M. Unser, “Convolutional neural networks for inverse problems in imaging: A review,” IEEE Signal Processing Magazine 34.6 (2017): 85-95. [Link]

  • K. H. Jin, M. T. McCann, E. Froustey, M. Unser, “Deep convolutional neural network for inverse problems in imaging,” IEEE Transactions on Image Processing 26.9 (2017): 4509-4522. [Link , PDF]

  • K. H. Jin, J. Y. Um, D. Lee, J. Lee, S. H. Park, and J. C. Ye, “MRI artifact correction using sparse + low-rank decomposition of annihilating filter-based Hankel matrix,” Magnetic resonance in medicine 78.1 (2017): 327-340.

  • K. H. Jin, D. Lee, and J. C. Ye, “A general framework for compressed sensing and parallel MRI using annihilating filter based low-rank Hankel matrix,” IEEE Transactions on Computational Imaging 2.4 (2016): 480-495. [Link , PDF]

  • H. Choi and K. H. Jin, “Fast and robust segmentation of the striatum using deep convolutional neural networks,” Journal of neuroscience methods 274 (2016): 146-153.

  • J. Lee, K. H. Jin, and J. C. Ye, “Reference-free single-pass EPI Nyquist ghost correction using annihilating filter-based low rank Hankel matrix (ALOHA),” Magnetic resonance in medicine 76.6 (2016): 1775-1789.

  • D. Lee, K. H. Jin, E. Y. Kim, S. H. Park, and J. C. Ye, “Acceleration of MR parameter mapping using annihilating filter-based low rank hankel matrix (ALOHA),” Magnetic resonance in medicine 76.6 (2016): 1848-1864.

  • J. C. Ye, J. M. Kim, K. H. Jin, and K. Lee, “Compressive sampling using annihilating filter-based low-rank interpolation,” IEEE Transactions on Information Theory 63.2 (2016): 777-801. [Link]

  • K. H. Jin and J. C. Ye, “Annihilating filter-based low-rank Hankel matrix approach for image inpainting,” IEEE Transactions on Image Processing 24.11 (2015): 3498-3511. [Link]

  • J. W. Lim, K. Lee, K. H. Jin, S. Shin, S. Lee, Y. Park, and J. C. Ye, “Comparative study of iterative reconstruction algorithms for missing cone problems in optical diffraction tomography,” Optics express 23.13 (2015): 16933-16948.

  • D. Yee, K. H. Jin, J. S. Yahng, H. Yang, C. Y. Kim, and J. C. Ye, “High-speed terahertz reflection three-dimensional imaging using beam steering,” Optics express 23.4 (2015): 5027-5034.

  • K. H. Jin, Y. G. Kim, S. H. Cho, J. C. Ye, and D. Yee, “High-speed terahertz reflection three-dimensional imaging for nondestructive evaluation,” Optics express 20.23 (2012): 25432-25440.

  • M. Yi, H. Kim, K. H. Jin, J. C. Ye, and J. Ahn, “Terahertz substance imaging by waveform shaping,” Optics express 20.18 (2012): 20783-20789.

  • S. Park, K. H. Jin, M. Yi, J. C. Ye, J. Ahn, and K. H. Jeong, “Enhancement of terahertz pulse emission by optical nanoantenna,” ACS nano 6.3 (2012): 2026-2031.

  • Y. Kim, K. H. Jin, J. C. Ye, J. Ahn, and D. Yee, “Wavelet power spectrum estimation for high-resolution terahertz time-domain spectroscopy,” Journal of the Optical Society of Korea 15.1 (2011): 103-108.

  • K. Lee, K. H. Jin, J. C. Ye, and J. Ahn, “Coherent optical computing for T-ray imaging,” Optics letters 35.4 (2010): 508-510.

  • K. H. Jin, Y. Kim, D. Yee, O. K. Lee, and J. C. Ye, “Compressed sensing pulse-echo mode terahertz reflectance tomography,” Optics letters 34.24 (2009): 3863-3865.