Kyong Hwan Jin

68 papers A* 8A 2B 2Journal 44Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	BF-STVSR: B-Splines and Fourier - Best Friends for High Fidelity Spatial-Temporal Video Super-Resolution. CVPR Eunjin Kim, Hyeonjin Kim, Kyong Hwan Jin, Jaejun Yoo
2025	J	`jnl`	BF-STVSR: B-Splines and Fourier-Best Friends for High Fidelity Spatial-Temporal Video Super-Resolution. CoRR Eunjin Kim, Hyeonjin Kim, Kyong Hwan Jin, Jaejun Yoo
2025	J	`jnl`	Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis. IEEE Trans. Medical Imaging Soopil Kim, Heejung Park, Philip Chikontwe, Myeongkyun Kang, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sang Hyun Park
2025	J	`jnl`	Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion. CoRR Jiwon Kim, Pu-Reum Kim, Seonhwa Kim, Soobin Park, Eunju Cha, Kyong Hwan Jin
2025	J	`jnl`	Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptation. Medical Image Anal. Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
2025	J	`jnl`	IM-LUT: Interpolation Mixing Look-Up Tables for Image Super-Resolution. CoRR Sejin Park, Sangmin Lee, Kyong Hwan Jin, Seung-Won Jung
2025	A*	`conf`	Identity-preserving Distillation Sampling by Fixed-Point Iterator. CVPR Seonhwa Kim, Jiwon Kim, Soobin Park, Donghoon Ahn, Jiwon Kang, Seungryong Kim, Kyong Hwan Jin, Eunju Cha
2025	J	`jnl`	Identity-preserving Distillation Sampling by Fixed-Point Iterator. CoRR Seonhwa Kim, Jiwon Kim, Soobin Park, Donghoon Ahn, Jiwon Kang, Seungryong Kim, Kyong Hwan Jin, Eunju Cha
2025	J	`jnl`	JPEG Processing Neural Operator for Backward-Compatible Coding. CoRR Woo Kyoung Han, Yongjun Lee, Byeonghun Lee, Sang Hyun Park, Sunghoon Im, Kyong Hwan Jin
2025	J	`jnl`	TAG:Tangential Amplifying Guidance for Hallucination-Resistant Diffusion Sampling. CoRR Hyunmin Cho, Donghoon Ahn, Susung Hong, Jee Eun Kim, Seungryong Kim, Kyong Hwan Jin
2025	A*	`conf`	Towards Lossless Implicit Neural Representation via Bit Plane Decomposition. CVPR Woo Kyoung Han, Byeonghun Lee, Hyunmin Cho, Sunghoon Im, Kyong Hwan Jin
2025	J	`jnl`	Towards Lossless Implicit Neural Representation via Bit Plane Decomposition. CoRR Woo Kyoung Han, Byeonghun Lee, Hyunmin Cho, Sunghoon Im, Kyong Hwan Jin
2024	J	`jnl`	A Noise is Worth Diffusion Guidance. CoRR 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
2024	A*	`conf`	BroadBEV: Collaborative LiDAR-camera Fusion for Broad-sighted Bird's Eye View Map Construction. ICRA Minsu Kim, Giseop Kim, Kyong Hwan Jin, Sunwook Choi
2024	—	`conf`	BurstM: Deep Burst Multi-scale SR Using Fourier Space with Optical Flow. ECCV (42) EungGu Kang, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin
2024	J	`jnl`	BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical Flow. CoRR EungGu Kang, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin
2024	J	`jnl`	FedNN: Federated learning on concept drift data using weight and adaptive group normalizations. Pattern Recognit. Myeongkyun Kang, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
2024	J	`jnl`	Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. Medical Image Anal. Soopil Kim, Heejung Park, Myeongkyun Kang, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
2024	A	`conf`	Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction. WACV Minsu Kim, Jaewon Lee, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin
2024	A*	`conf`	JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients. CVPR Woo Kyoung Han, Sunghoon Im, Jaedeok Kim, Kyong Hwan Jin
2024	J	`jnl`	JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients. CoRR Woo Kyoung Han, Sunghoon Im, Jaedeok Kim, Kyong Hwan Jin
2024	A	`conf`	Learning Residual Elastic Warps for Image Stitching under Dirichlet Boundary Condition. WACV Minsu Kim, Yongjun Lee, Woo Kyoung Han, Kyong Hwan Jin
2024	J	`jnl`	Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance. CoRR Donghoon Ahn, Hyoungwon Cho, Jaewon Min, Wooseok Jang, Jungwoo Kim, Seonhwa Kim, Hyun Hee Park, Kyong Hwan Jin, Seungryong Kim
2024	—	`conf`	Self-rectifying Diffusion Sampling with Perturbed-Attention Guidance. ECCV (73) Donghoon Ahn, Hyoungwon Cho, Jaewon Min, Wooseok Jang, Jungwoo Kim, Seonhwa Kim, Hyun Hee Park, Kyong Hwan Jin, Seungryong Kim
2023	A*	`conf`	ABCD : Arbitrary Bitwise Coefficient for De-Quantization. CVPR Woo Kyoung Han, Byeonghun Lee, Sang Hyun Park, Kyong Hwan Jin
2023	A*	`conf`	B-Spline Texture Coefficients Estimator for Screen Content Image Super-Resolution. CVPR Byeonghyun Pak, Jaewon Lee, Kyong Hwan Jin
2023	J	`jnl`	BroadBEV: Collaborative LiDAR-camera Fusion for Broad-sighted Bird's Eye View Map Construction. CoRR Minsu Kim, Giseop Kim, Kyong Hwan Jin, Sunwook Choi
2023	J	`jnl`	DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy function. Bioinform. 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
2023	J	`jnl`	Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction. CoRR Minsu Kim, Jaewon Lee, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin
2023	J	`jnl`	Learning Residual Elastic Warps for Image Stitching under Dirichlet Boundary Condition. CoRR Minsu Kim, Yongjun Lee, Woo Kyoung Han, Kyong Hwan Jin
2023	—	`conf`	One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. MICCAI (2) Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli-Mosabbeb, Kilian M. Pohl, Sanghyun Park
2022	—	`conf`	Learning Local Implicit Fourier Representation for Image Warping. ECCV (18) Jaewon Lee, Kwang Pyo Choi, Kyong Hwan Jin
2022	J	`jnl`	Learning Local Implicit Fourier Representation for Image Warping. CoRR Jaewon Lee, Kwang Pyo Choi, Kyong Hwan Jin
2022	A*	`conf`	Local Texture Estimator for Implicit Representation Function. CVPR Jaewon Lee, Kyong Hwan Jin
2021	J	`jnl`	Deep Block Transform for Autoencoders. IEEE Signal Process. Lett. Kyong Hwan Jin
2021	J	`jnl`	Local Texture Estimator for Implicit Representation Function. CoRR Jaewon Lee, Kyong Hwan Jin
2021	J	`jnl`	Time-Dependent Deep Image Prior for Dynamic MRI. IEEE Trans. Medical Imaging Jaejun Yoo, Kyong Hwan Jin, Harshit Gupta, Jérôme Yerly, Matthias Stuber, Michael Unser
2019	J	`jnl`	Reducing the Human Effort in Developing PET-CT Registration. CoRR Teaghan O'Briain, Kyong Hwan Jin, Hongyoon Choi, Erika Chin, Magdalena Bazalova-Carter, Kwang Moo Yi
2019	J	`jnl`	Self-Supervised Deep Active Accelerated MRI. CoRR Kyong Hwan Jin, Michael Unser, Kwang Moo Yi
2019	J	`jnl`	Time-Dependent Deep Image Prior for Dynamic MRI. CoRR Kyong Hwan Jin, Harshit Gupta, Jerome Yerly, Matthias Stuber, Michael Unser
2018	—	`conf`	3D BBPConvNet to reconstruct parallel MRI. ISBI Kyong Hwan Jin, Michael Unser
2018	J	`jnl`	CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction. IEEE Trans. Medical Imaging Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser
2018	J	`jnl`	Direct Reconstruction of Saturated Samples in Band-Limited OFDM Signals. CoRR Kyong Hwan Jin, Gain Kim, Yusuf Leblebici, Jong Chul Ye, Michael Unser
2018	J	`jnl`	Grid-Free Localization Algorithm Using Low-Rank Hankel Matrix for Super-Resolution Microscopy. IEEE Trans. Image Process. Junhong Min, Kyong Hwan Jin, Michael Unser, Jong Chul Ye
2018	J	`jnl`	Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal. IEEE Trans. Image Process. Kyong Hwan Jin, Jong Chul Ye
2018	J	`jnl`	Unified Theory for Recovery of Sparse Signals in a General Transform Domain. IEEE Trans. Inf. Theory Kiryung Lee, Yanjun Li, Kyong Hwan Jin, Jong Chul Ye
2017	J	`jnl`	A Review of Convolutional Neural Networks for Inverse Problems in Imaging. CoRR Michael T. McCann, Kyong Hwan Jin, Michael Unser
2017	J	`jnl`	CNN-Based Projected Gradient Descent for Consistent Image Reconstruction. CoRR Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser
2017	J	`jnl`	Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation. IEEE Trans. Inf. Theory Jong Chul Ye, Jong Min Kim, Kyong Hwan Jin, Kiryung Lee
2017	J	`jnl`	Convolutional Neural Networks for Inverse Problems in Imaging: A Review. IEEE Signal Process. Mag. Michael T. McCann, Kyong Hwan Jin, Michael Unser
2017	J	`jnl`	Deep Convolutional Neural Network for Inverse Problems in Imaging. IEEE Trans. Image Process. Kyong Hwan Jin, Michael T. McCann, Emmanuel Froustey, Michael Unser
2017	J	`jnl`	Predicting Cognitive Decline with Deep Learning of Brain Metabolism and Amyloid Imaging. CoRR Hongyoon Choi, Kyong Hwan Jin
2016	J	`jnl`	A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix. IEEE Trans. Computational Imaging Kyong Hwan Jin, Dongwook Lee, Jong Chul Ye
2016	—	`conf`	Compressive dynamic aperture B-mode ultrasound imaging using annihilating filter-based low-rank interpolation. ISBI Kyong Hwan Jin, Yoseob Han, Jong Chul Ye
2016	J	`jnl`	Deep Convolutional Neural Network for Inverse Problems in Imaging. CoRR Kyong Hwan Jin, Michael T. McCann, Emmanuel Froustey, Michael Unser
2016	—	`conf`	Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach. ISBI Eun Ju Cha, Kyong Hwan Jin, Dongwook Lee, Eung-Yeop Kim, Seung Hong Choi, Jong Chul Ye
2016	B	`conf`	Random impulse noise removal using sparse and low rank decomposition of annihilating filter-based Hankel matrix. ICIP Kyong Hwan Jin, Jong Chul Ye
2016	B	`conf`	Recent progresses of accelerated MRI using annihilating filter-based low-rank interpolation. ICIP Kyong Hwan Jin, Dongwook Lee, Juyoung Lee, Jong Chul Ye
2016	—	`conf`	Reference-free EPI Nyquist ghost correction using annihilating filter-based low rank hankel matrix for K-space interpolation. ISBI Juyoung Lee, Kyong Hwan Jin, Jong Chul Ye
2016	—	`conf`	Sparse and low-rank decomposition of MR artifact images using annihilating filter-based Hankel matrix. ISBI Kyong Hwan Jin, Juyoung Lee, Dongwook Lee, Jong Chul Ye
2016	—	`conf`	Sparse-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach. ISBI Yoseob Han, Kyong Hwan Jin, Kyung Sang Kim, Jong Chul Ye
2016	J	`jnl`	Unified Theory for Recovery of Sparse Signals in a General Transform Domain. CoRR Kiryung Lee, Yanjun Li, Kyong Hwan Jin, Jong Chul Ye
2015	J	`jnl`	A general framework for compressed sensing and parallel MRI using annihilating filter based low-rank Hankel matrix. CoRR Kyong Hwan Jin, Dongwook Lee, Jong Chul Ye
2015	—	`conf`	A novel k-space annihilating filter method for unification between compressed sensing and parallel MRI. ISBI Kyong Hwan Jin, Dongwook Lee, Jong Chul Ye
2015	J	`jnl`	Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image Inpainting. IEEE Trans. Image Process. Kyong Hwan Jin, Jong Chul Ye
2015	J	`jnl`	Compressive Sampling using Annihilating Filter-based Low-Rank Interpolation. CoRR Jong Chul Ye, Jong Min Kim, Kyong Hwan Jin, Kiryung Lee
2015	—	`conf`	Patch based low rank structured matrix completion for accelerated scanning microscopy. ISBI Kyong Hwan Jin, Junhong Min, Jong Chul Ye
2015	J	`jnl`	Sparse + Low Rank Decomposition of Annihilating Filter-based Hankel Matrix for Impulse Noise Removal. CoRR Kyong Hwan Jin, Jong Chul Ye