Publication

Peer-reviewed

2024

Dong-Gu Choi, Jaehyun Lee, Jahyun Koo, Woo Kyoung Han, Dahoon Park, Jaeha Kung, Junghyup Lee, Jong-Hyeok Yoon, ‘‘A 65nm 687.5-TOPS/W Drive Strength-based SRAM Compute-In-Memory Macro with Adaptive Dynamic Range for Edge AI applications,’’ IEEE Asian Solid-State Circuits Conference (A-SSCC), 2024.

EungGu Kang, Byeonghun Lee, Sunghoon Im*, and K. H. Jin*, ‘‘BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical Flow,” European Conference on Computer Vision (ECCV), 2024.[PDF, Code,Poster]

Donghoon Ahn*, Hyoungwon Cho*, Jaewon Min, Wooseok Jang, Jungwoo Kim, SeonHwa Kim, Hyun Hee Park, K. H. Jin*, and Seungryong Kim*, ‘‘Self-Rectifying Diffusion Sampling with Purterbed-Attention Guidance,” European Conference on Computer Vision (ECCV), 2024, Accepted. [Project]

Soopil Kim, Heejung Park, Myeongkyun Kang, K.H. Jin, Ehsan Adeli, Kilian M Pohl, Sang Hyun Park, ‘‘Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets," Medical Image Analysis, vol. 95, pp. 103156, 2024

Myeongkyun Kang, Soopil Kim, K. H. Jin, Ehsan Adeli, Kilian M Pohl, and Sang Hyun Park , “FedNN: Federated Learning on concept drift data using weight and adaptive group normalizations,” Pattern Recognition, Vol. 149, 2024 [PDF], (IF:8.0)

Woo Kyoung Han, Sunghoon Im, Jaedeok Kim*, and K. H. Jin*, ‘‘JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [PDF, Code,Poster,Project]

Minsu Kim, Giseop Kim, K. H. Jin, and Sunwook Choi, ‘‘BroadBEV: Collaborative LiDAR- camera Fusion for Broad-sighted Bird’s Eye View Map Construction,” IEEE International Conference on Robotics and Automation (ICRA), 2024, (oral presentation).

Nari Hong, Boil Kim, Jaewon Lee, Han Kyoung Choe, K. H. Jin* , and Hongki Kang*,“Machine learning-based high-frequency neuronal spike reconstruction from low-frequency and low-sampling-rate recordings,” Nat. Comm. 15, 635 (2024), [PDF]

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, [PDF, Code, Poster]

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, [PDF, Code, Poster]

2023

Jae-Won Lee, Jong-Hyun Won, Seonggwang Jeon, Yujin Choo, Yubin Yeon, Jin-Seon Oh, Minsoo Kim, SeonHwa Kim, InSuk Joung, Cheongjae Jang, Sung Jong Lee, Tae Hyun Kim, K. H. Jin, Giltae Song, Eun-Sol Kim, Jejoong Yoo, Eunok Paek, Yung-Kyun Noh*, and Keehyoung Joo*, “DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy function.” Bioinformatics 39, no. 12 (2023) [PDF]

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 Assisted Interventions (MICCAI), 2023,

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]

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]

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]

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]

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]

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.