Kyong Hwan Jin

Orcid: 0000-0001-7885-4792

According to our database1, Kyong Hwan Jin authored at least 43 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
FedNN: Federated learning on concept drift data using weight and adaptive group normalizations.
Pattern Recognit., 2024

Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets.
Medical Image Anal., 2024

Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Learning Residual Elastic Warps for Image Stitching under Dirichlet Boundary Condition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

BroadBEV: Collaborative LiDAR-camera Fusion for Broad-sighted Bird's Eye View Map Construction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

BurstM: Deep Burst Multi-scale SR Using Fourier Space with Optical Flow.
Proceedings of the Computer Vision - ECCV 2024, 2024

Self-rectifying Diffusion Sampling with Perturbed-Attention Guidance.
Proceedings of the Computer Vision - ECCV 2024, 2024

JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy function.
Bioinform., December, 2023

One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

B-Spline Texture Coefficients Estimator for Screen Content Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ABCD : Arbitrary Bitwise Coefficient for De-Quantization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning Local Implicit Fourier Representation for Image Warping.
Proceedings of the Computer Vision - ECCV 2022, 2022

Local Texture Estimator for Implicit Representation Function.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Time-Dependent Deep Image Prior for Dynamic MRI.
IEEE Trans. Medical Imaging, 2021

Deep Block Transform for Autoencoders.
IEEE Signal Process. Lett., 2021

2019
Reducing the Human Effort in Developing PET-CT Registration.
CoRR, 2019

Time-Dependent Deep Image Prior for Dynamic MRI.
CoRR, 2019

Self-Supervised Deep Active Accelerated MRI.
CoRR, 2019

2018
CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction.
IEEE Trans. Medical Imaging, 2018

Unified Theory for Recovery of Sparse Signals in a General Transform Domain.
IEEE Trans. Inf. Theory, 2018

Grid-Free Localization Algorithm Using Low-Rank Hankel Matrix for Super-Resolution Microscopy.
IEEE Trans. Image Process., 2018

Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal.
IEEE Trans. Image Process., 2018

Direct Reconstruction of Saturated Samples in Band-Limited OFDM Signals.
CoRR, 2018

3D BBPConvNet to reconstruct parallel MRI.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation.
IEEE Trans. Inf. Theory, 2017

Deep Convolutional Neural Network for Inverse Problems in Imaging.
IEEE Trans. Image Process., 2017

Convolutional Neural Networks for Inverse Problems in Imaging: A Review.
IEEE Signal Process. Mag., 2017

A Review of Convolutional Neural Networks for Inverse Problems in Imaging.
CoRR, 2017

CNN-Based Projected Gradient Descent for Consistent Image Reconstruction.
CoRR, 2017

Predicting Cognitive Decline with Deep Learning of Brain Metabolism and Amyloid Imaging.
CoRR, 2017

2016
A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix.
IEEE Trans. Computational Imaging, 2016

Reference-free EPI Nyquist ghost correction using annihilating filter-based low rank hankel matrix for K-space interpolation.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Sparse and low-rank decomposition of MR artifact images using annihilating filter-based Hankel matrix.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Compressive dynamic aperture B-mode ultrasound imaging using annihilating filter-based low-rank interpolation.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Sparse-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Random impulse noise removal using sparse and low rank decomposition of annihilating filter-based Hankel matrix.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Recent progresses of accelerated MRI using annihilating filter-based low-rank interpolation.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image Inpainting.
IEEE Trans. Image Process., 2015

Sparse + Low Rank Decomposition of Annihilating Filter-based Hankel Matrix for Impulse Noise Removal.
CoRR, 2015

Patch based low rank structured matrix completion for accelerated scanning microscopy.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A novel k-space annihilating filter method for unification between compressed sensing and parallel MRI.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015


  Loading...