Il Yong Chun
Orcid: 0000-0002-4226-3760
According to our database1,
Il Yong Chun
authored at least 33 papers
between 2014 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
IEEE Trans. Intell. Transp. Syst., March, 2023
Improving Neural Radiance Field using Near-Surface Sampling with Point Cloud Generation.
CoRR, 2023
End-to-End Driving via Self-Supervised Imitation Learning Using Camera and LiDAR Data.
CoRR, 2023
2022
Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging.
CoRR, 2022
2021
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles.
CoRR, 2021
2020
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Image Process., 2020
An Improved Iterative Neural Network for High-Quality Image-Domain Material Decomposition in Dual-Energy CT.
CoRR, 2020
Image-Domain Material Decomposition Using an Iterative Neural Network for Dual-Energy CT.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Light-Field Reconstruction and Depth Estimation from Focal Stack Images Using Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
IEEE Signal Process. Lett., 2019
Improved low-count quantitative PET reconstruction with a variational neural network.
CoRR, 2019
BCD-Net for Low-Dose CT Reconstruction: Acceleration, Convergence, and Generalization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Incorporating Handcrafted Filters in Convolutional Analysis Operator Learning for Ill-Posed Inverse Problems.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
2018
IEEE Trans. Image Process., 2018
Convolutional Analysis Operator Learning: Acceleration, Convergence, Application, and Neural Networks.
CoRR, 2018
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery.
Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018
Low-Rank Plus Sparse Tensor Models for Light-field Reconstruction from Focal Stack Data.
Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018
Fast and convergent iterative image recovery using trained convolutional neural networks.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018
Convolutional analysis operator learning: Application to sparse-view CT : (Invited Paper).
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
Sparse-View X-Ray CT Reconstruction Using 𝓵<sub>1</sub> Prior with Learned Transform.
CoRR, 2017
Physics-driven deep training of dictionary-based algorithms for MR image reconstruction.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
Efficient Compressed Sensing SENSE pMRI Reconstruction With Joint Sparsity Promotion.
IEEE Trans. Medical Imaging, 2016
Mean Squared Error Based Excitation Pattern Design for Parallel Transmit and Receive SENSE MRI Image Reconstruction.
IEEE Trans. Computational Imaging, 2016
Proceedings of the 2016 IEEE Information Theory Workshop, 2016
Sparsity and parallel acquisition: Optimal uniform and nonuniform recovery guarantees.
Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016
2014
Non-convex compressed sensing CT reconstruction based on tensor discrete Fourier slice theorem.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Efficient compressed sensing SENSE parallel MRI reconstruction with joint sparsity promotion and mutual incoherence enhancement.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014