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ORCIDKyong Hwan Jin
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2020 – today
- 2024
[j14]Soopil Kim
, Heejung Park, Myeongkyun Kang, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park:
Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. Medical Image Anal. 95: 103156 (2024)- [j13]Myeongkyun Kang, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park:
FedNN: Federated learning on concept drift data using weight and adaptive group normalizations. Pattern Recognit. 149: 110230 (2024) - [c21]Woo Kyoung Han, Sunghoon Im, Jaedeok Kim, Kyong Hwan Jin:
JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients. CVPR 2024: 2784-2793 - [c20]Donghoon Ahn, Hyoungwon Cho, Jaewon Min, Wooseok Jang, Jungwoo Kim, Seonhwa Kim, Hyun Hee Park, Kyong Hwan Jin, Seungryong Kim:
Self-rectifying Diffusion Sampling with Perturbed-Attention Guidance. ECCV (73) 2024: 1-17 - [c19]EungGu Kang, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin:
BurstM: Deep Burst Multi-scale SR Using Fourier Space with Optical Flow. ECCV (42) 2024: 459-477 - [c18]Minsu Kim, Giseop Kim, Kyong Hwan Jin, Sunwook Choi:
BroadBEV: Collaborative LiDAR-camera Fusion for Broad-sighted Bird's Eye View Map Construction. ICRA 2024: 11125-11132 - [c17]Minsu Kim, Yongjun Lee, Woo Kyoung Han, Kyong Hwan Jin:
Learning Residual Elastic Warps for Image Stitching under Dirichlet Boundary Condition. WACV 2024: 4004-4012 - [c16]Minsu Kim, Jaewon Lee, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin:
Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction. WACV 2024: 4075-4084 - [i21]Donghoon Ahn, Hyoungwon Cho, Jaewon Min, Wooseok Jang, Jungwoo Kim, Seonhwa Kim, Hyun Hee Park, Kyong Hwan Jin, Seungryong Kim:
Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance. CoRR abs/2403.17377 (2024) - [i20]Woo Kyoung Han, Sunghoon Im, Jaedeok Kim, Kyong Hwan Jin:
JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients. CoRR abs/2404.05558 (2024) - [i19]EungGu Kang, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin:
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical Flow. CoRR abs/2409.15384 (2024) - [i18]Donghoon Ahn, Jiwon Kang, Sanghyun Lee, Jaewon Min, Minjae Kim, Wooseok Jang, Hyoungwon Cho, Sayak Paul, Seonhwa Kim, Eunju Cha, Kyong Hwan Jin, Seungryong Kim:
A Noise is Worth Diffusion Guidance. CoRR abs/2412.03895 (2024) - 2023
- [j12]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, Kyong Hwan Jin, Giltae Song, Eun-Sol Kim, Jejoong Yoo, Eunok Paek, Yung-Kyun Noh, Keehyoung Joo:
DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy function. Bioinform. 39(12) (2023) - [c15]Woo Kyoung Han, Byeonghun Lee, Sang Hyun Park, Kyong Hwan Jin:
ABCD : Arbitrary Bitwise Coefficient for De-Quantization. CVPR 2023: 5876-5885 - [c14]Byeonghyun Pak, Jaewon Lee, Kyong Hwan Jin:
B-Spline Texture Coefficients Estimator for Screen Content Image Super-Resolution. CVPR 2023: 10062-10071 - [c13]Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli-Mosabbeb, Kilian M. Pohl, Sanghyun Park:
One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. MICCAI (2) 2023: 521-531 - [i17]Minsu Kim, Yongjun Lee, Woo Kyoung Han, Kyong Hwan Jin:
Learning Residual Elastic Warps for Image Stitching under Dirichlet Boundary Condition. CoRR abs/2309.01406 (2023) - [i16]Minsu Kim, Jaewon Lee, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin:
Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction. CoRR abs/2309.01409 (2023) - [i15]Minsu Kim, Giseop Kim, Kyong Hwan Jin, Sunwook Choi:
BroadBEV: Collaborative LiDAR-camera Fusion for Broad-sighted Bird's Eye View Map Construction. CoRR abs/2309.11119 (2023) - 2022
- [c12]Jaewon Lee, Kyong Hwan Jin:
Local Texture Estimator for Implicit Representation Function. CVPR 2022: 1919-1928 - [c11]Jaewon Lee, Kwang Pyo Choi, Kyong Hwan Jin:
Learning Local Implicit Fourier Representation for Image Warping. ECCV (18) 2022: 182-200 - [i14]Jaewon Lee, Kwang Pyo Choi, Kyong Hwan Jin:
Learning Local Implicit Fourier Representation for Image Warping. CoRR abs/2207.01831 (2022) - 2021
- [j11]Kyong Hwan Jin:
Deep Block Transform for Autoencoders. IEEE Signal Process. Lett. 28: 1016-1019 (2021) - [j10]Jaejun Yoo, Kyong Hwan Jin, Harshit Gupta, Jérôme Yerly, Matthias Stuber, Michael Unser:
Time-Dependent Deep Image Prior for Dynamic MRI. IEEE Trans. Medical Imaging 40(12): 3337-3348 (2021) - [i13]Jaewon Lee, Kyong Hwan Jin:
Local Texture Estimator for Implicit Representation Function. CoRR abs/2111.08918 (2021)
2010 – 2019
- 2019
- [i12]Kyong Hwan Jin, Michael Unser, Kwang Moo Yi:
Self-Supervised Deep Active Accelerated MRI. CoRR abs/1901.04547 (2019) - [i11]Kyong Hwan Jin, Harshit Gupta, Jerome Yerly, Matthias Stuber, Michael Unser:
Time-Dependent Deep Image Prior for Dynamic MRI. CoRR abs/1910.01684 (2019) - [i10]Teaghan O'Briain, Kyong Hwan Jin, Hongyoon Choi, Erika Chin, Magdalena Bazalova-Carter, Kwang Moo Yi:
Reducing the Human Effort in Developing PET-CT Registration. CoRR abs/1911.10657 (2019) - 2018
- [j9]Kyong Hwan Jin, Jong Chul Ye:
Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal. IEEE Trans. Image Process. 27(3): 1448-1461 (2018) - [j8]Junhong Min, Kyong Hwan Jin, Michael Unser, Jong Chul Ye:
Grid-Free Localization Algorithm Using Low-Rank Hankel Matrix for Super-Resolution Microscopy. IEEE Trans. Image Process. 27(10): 4771-4786 (2018) - [j7]Kiryung Lee, Yanjun Li, Kyong Hwan Jin, Jong Chul Ye:
Unified Theory for Recovery of Sparse Signals in a General Transform Domain. IEEE Trans. Inf. Theory 64(8): 5457-5477 (2018) - [j6]Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser:
CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction. IEEE Trans. Medical Imaging 37(6): 1440-1453 (2018) - [c10]Kyong Hwan Jin, Michael Unser:
3D BBPConvNet to reconstruct parallel MRI. ISBI 2018: 361-364 - [i9]Kyong Hwan Jin, Gain Kim, Yusuf Leblebici, Jong Chul Ye, Michael Unser:
Direct Reconstruction of Saturated Samples in Band-Limited OFDM Signals. CoRR abs/1809.07188 (2018) - 2017
- [j5]Michael T. McCann, Kyong Hwan Jin, Michael Unser:
Convolutional Neural Networks for Inverse Problems in Imaging: A Review. IEEE Signal Process. Mag. 34(6): 85-95 (2017) - [j4]Kyong Hwan Jin, Michael T. McCann, Emmanuel Froustey, Michael Unser:
Deep Convolutional Neural Network for Inverse Problems in Imaging. IEEE Trans. Image Process. 26(9): 4509-4522 (2017) - [j3]Jong Chul Ye, Jong Min Kim, Kyong Hwan Jin, Kiryung Lee:
Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation. IEEE Trans. Inf. Theory 63(2): 777-801 (2017) - [i8]Hongyoon Choi, Kyong Hwan Jin:
Predicting Cognitive Decline with Deep Learning of Brain Metabolism and Amyloid Imaging. CoRR abs/1704.06033 (2017) - [i7]Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser:
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction. CoRR abs/1709.01809 (2017) - [i6]Michael T. McCann, Kyong Hwan Jin, Michael Unser:
A Review of Convolutional Neural Networks for Inverse Problems in Imaging. CoRR abs/1710.04011 (2017) - 2016
- [j2]Kyong Hwan Jin, Dongwook Lee, Jong Chul Ye:
A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix. IEEE Trans. Computational Imaging 2(4): 480-495 (2016) - [c9]Kyong Hwan Jin, Dongwook Lee, Juyoung Lee, Jong Chul Ye:
Recent progresses of accelerated MRI using annihilating filter-based low-rank interpolation. ICIP 2016: 968-972 - [c8]Kyong Hwan Jin, Jong Chul Ye:
Random impulse noise removal using sparse and low rank decomposition of annihilating filter-based Hankel matrix. ICIP 2016: 3877-3881 - [c7]Eun Ju Cha, Kyong Hwan Jin, Dongwook Lee, Eung-Yeop Kim, Seung Hong Choi, Jong Chul Ye:
Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach. ISBI 2016: 314-317 - [c6]Yoseob Han, Kyong Hwan Jin, Kyung Sang Kim, Jong Chul Ye:
Sparse-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach. ISBI 2016: 573-576 - [c5]Kyong Hwan Jin, Yoseob Han, Jong Chul Ye:
Compressive dynamic aperture B-mode ultrasound imaging using annihilating filter-based low-rank interpolation. ISBI 2016: 1009-1012 - [c4]Juyoung Lee, Kyong Hwan Jin, Jong Chul Ye:
Reference-free EPI Nyquist ghost correction using annihilating filter-based low rank hankel matrix for K-space interpolation. ISBI 2016: 1380-1383 - [c3]Kyong Hwan Jin, Juyoung Lee, Dongwook Lee, Jong Chul Ye:
Sparse and low-rank decomposition of MR artifact images using annihilating filter-based Hankel matrix. ISBI 2016: 1388-1391 - [i5]Kyong Hwan Jin, Michael T. McCann, Emmanuel Froustey, Michael Unser:
Deep Convolutional Neural Network for Inverse Problems in Imaging. CoRR abs/1611.03679 (2016) - [i4]Kiryung Lee, Yanjun Li, Kyong Hwan Jin, Jong Chul Ye:
Unified Theory for Recovery of Sparse Signals in a General Transform Domain. CoRR abs/1612.09565 (2016) - 2015
- [j1]Kyong Hwan Jin, Jong Chul Ye:
Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image Inpainting. IEEE Trans. Image Process. 24(11): 3498-3511 (2015) - [c2]Kyong Hwan Jin, Dongwook Lee, Jong Chul Ye:
A novel k-space annihilating filter method for unification between compressed sensing and parallel MRI. ISBI 2015: 327-330 - [c1]Kyong Hwan Jin, Junhong Min, Jong Chul Ye:
Patch based low rank structured matrix completion for accelerated scanning microscopy. ISBI 2015: 1236-1239 - [i3]Kyong Hwan Jin, Dongwook Lee, Jong Chul Ye:
A general framework for compressed sensing and parallel MRI using annihilating filter based low-rank Hankel matrix. CoRR abs/1504.00532 (2015) - [i2]Kyong Hwan Jin, Jong Chul Ye:
Sparse + Low Rank Decomposition of Annihilating Filter-based Hankel Matrix for Impulse Noise Removal. CoRR abs/1510.05559 (2015) - [i1]Jong Chul Ye, Jong Min Kim, Kyong Hwan Jin, Kiryung Lee:
Compressive Sampling using Annihilating Filter-based Low-Rank Interpolation. CoRR abs/1511.08975 (2015)
Coauthor Index
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