Publication
Peerreviewed
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, “Oneshot 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 Dequantization,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, [PDF, Code, Poster]
Byeonghyun Pak, Jaewon Lee, and K. H. Jin, “Bspline Texture Coefficients Estimator for Screen Content Image SuperResolution,” 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 Xray 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,“Timedependent 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): 10161019. [Link , PDF]
Before 2021
J. Min, K. H. Jin, M. Unser, and J. C. Ye, “Gridfree localization algorithm using lowrank Hankel matrix for superresolution microscopy,” IEEE Transactions on Image Processing 27.10 (2018): 47714786. [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): 54575477. [Link]
H. Gupta, K. H. Jin, H. Q. Nguyen, M. T. McCann, and M. Unser, “CNNbased projected gradient descent for consistent CT image reconstruction,” IEEE Transactions on Medical Imaging 37.6 (2018): 14401453. [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): 103109.
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): 8595. [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): 45094522. [Link , PDF]
K. H. Jin, J. Y. Um, D. Lee, J. Lee, S. H. Park, and J. C. Ye, “MRI artifact correction using sparse + lowrank decomposition of annihilating filterbased Hankel matrix,” Magnetic resonance in medicine 78.1 (2017): 327340.
K. H. Jin, D. Lee, and J. C. Ye, “A general framework for compressed sensing and parallel MRI using annihilating filter based lowrank Hankel matrix,” IEEE Transactions on Computational Imaging 2.4 (2016): 480495. [Link , PDF]
J. Lee, K. H. Jin, and J. C. Ye, “Referencefree singlepass EPI Nyquist ghost correction using annihilating filterbased low rank Hankel matrix (ALOHA),” Magnetic resonance in medicine 76.6 (2016): 17751789.
D. Lee, K. H. Jin, E. Y. Kim, S. H. Park, and J. C. Ye, “Acceleration of MR parameter mapping using annihilating filterbased low rank hankel matrix (ALOHA),” Magnetic resonance in medicine 76.6 (2016): 18481864.
J. C. Ye, J. M. Kim, K. H. Jin, and K. Lee, “Compressive sampling using annihilating filterbased lowrank interpolation,” IEEE Transactions on Information Theory 63.2 (2016): 777801. [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): 1693316948.
D. Yee, K. H. Jin, J. S. Yahng, H. Yang, C. Y. Kim, and J. C. Ye, “Highspeed terahertz reflection threedimensional imaging using beam steering,” Optics express 23.4 (2015): 50275034.
K. H. Jin, Y. G. Kim, S. H. Cho, J. C. Ye, and D. Yee, “Highspeed terahertz reflection threedimensional imaging for nondestructive evaluation,” Optics express 20.23 (2012): 2543225440.
M. Yi, H. Kim, K. H. Jin, J. C. Ye, and J. Ahn, “Terahertz substance imaging by waveform shaping,” Optics express 20.18 (2012): 2078320789.
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): 20262031.
Y. Kim, K. H. Jin, J. C. Ye, J. Ahn, and D. Yee, “Wavelet power spectrum estimation for highresolution terahertz timedomain spectroscopy,” Journal of the Optical Society of Korea 15.1 (2011): 103108.
K. Lee, K. H. Jin, J. C. Ye, and J. Ahn, “Coherent optical computing for Tray imaging,” Optics letters 35.4 (2010): 508510.
K. H. Jin, Y. Kim, D. Yee, O. K. Lee, and J. C. Ye, “Compressed sensing pulseecho mode terahertz reflectance tomography,” Optics letters 34.24 (2009): 38633865.
