Il Yong Chun

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 42

Top Topics

Dictionary Learning

Image Reconstruction

Inverse Problems

Compressed Sensing

Top Venues

IEEE Trans. Image Process.

Publications

Hye Bin Yoo, Hyunmin Han, Sung Soo Hwang, Il Yong Chun
Improving Neural Radiance Fields Using Near-Surface Sampling with Point Cloud Generation. Neural Process. Lett. 56 (4) (2024)
Il Yong Chun, Zhengyu Huang, Hongki Lim, Jeffrey A. Fessler
Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Jin Bok Park, Jinkyu Lee, Muhyun Back, Hyunmin Han, David T. Ma, Sang Min Won, Sung Soo Hwang, Il Yong Chun
End-to-End Driving via Self-Supervised Imitation Learning Using Camera and LiDAR Data. CoRR (2023)
Hye Bin Yoo, Hyunmin Han, Sung Soo Hwang, Il Yong Chun
Improving Neural Radiance Field using Near-Surface Sampling with Point Cloud Generation. CoRR (2023)
Jinkyu Lee, Muhyun Back, Sung Soo Hwang, Il Yong Chun
Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames. IEEE Trans. Intell. Transp. Syst. 24 (3) (2023)
Il Yong Chun, Dongwon Park, Xuehang Zheng, Se Young Chun, Yong Long
Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging. CoRR (2022)
Hongyi Gu, Burhaneddin Yaman, Steen Moeller, Il Yong Chun, Mehmet Akçakaya
Accelerated MRI With Deep Linear Convolutional Transform Learning. CoRR (2022)
Jinkyu Lee, Muhyun Back, Sung Soo Hwang, Il Yong Chun
Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames. CoRR (2021)
Muhyun Back, Jinkyu Lee, Kyuho Bae, Sung Soo Hwang, Il Yong Chun
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles. CoRR (2021)
Siqi Ye, Yong Long, Il Yong Chun
Momentum-Net for Low-Dose CT Image Reconstruction. ACSSC (2020)
Zhipeng Li, Il Yong Chun, Yong Long
Image-Domain Material Decomposition Using an Iterative Neural Network for Dual-Energy CT. ISBI (2020)
Zhengyu Huang, Jeffrey A. Fessler, Theodore B. Norris, Il Yong Chun
Light-Field Reconstruction and Depth Estimation from Focal Stack Images Using Convolutional Neural Networks. ICASSP (2020)
Il Yong Chun, Jeffrey A. Fessler
Convolutional Analysis Operator Learning: Acceleration and Convergence. IEEE Trans. Image Process. 29 (2020)
Zhipeng Li, Yong Long, Il Yong Chun
An Improved Iterative Neural Network for High-Quality Image-Domain Material Decomposition in Dual-Energy CT. CoRR (2020)
Hongki Lim, Il Yong Chun, Yuni K. Dewaraja, Jeffrey A. Fessler
Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network. IEEE Trans. Medical Imaging 39 (11) (2020)
Siqi Ye, Yong Long, Il Yong Chun
Momentum-Net for Low-Dose CT Image Reconstruction. CoRR (2020)
Il Yong Chun, David Hong, Ben Adcock, Jeffrey A. Fessler
Convolutional Analysis Operator Learning: Dependence on Training Data. IEEE Signal Process. Lett. 26 (8) (2019)
Il Yong Chun, David Hong, Ben Adcock, Jeffrey A. Fessler
Convolutional Analysis Operator Learning: Dependence on Training Data. CoRR (2019)
Il Yong Chun, Xuehang Zheng, Yong Long, Jeffrey A. Fessler
BCD-Net for Low-Dose CT Reconstruction: Acceleration, Convergence, and Generalization. MICCAI (6) (2019)
Il Yong Chun, Zhengyu Huang, Hongki Lim, Jeffrey A. Fessler
Momentum-Net: Fast and convergent iterative neural network for inverse problems. CoRR (2019)
Hongki Lim, Il Yong Chun, Yuni K. Dewaraja, Jeffrey A. Fessler
Improved low-count quantitative PET reconstruction with a variational neural network. CoRR (2019)
Il Yong Chun, Xuehang Zheng, Yong Long, Jeffrey A. Fessler
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization. CoRR (2019)
Caroline Crockett, David Hong, Il Yong Chun, Jeffrey A. Fessler
Incorporating Handcrafted Filters in Convolutional Analysis Operator Learning for Ill-Posed Inverse Problems. CAMSAP (2019)
Il Yong Chun, Jeffrey A. Fessler
Convolutional Dictionary Learning: Acceleration and Convergence. IEEE Trans. Image Process. 27 (4) (2018)
Cameron J. Blocker, Il Yong Chun, Jeffrey A. Fessler
Low-Rank Plus Sparse Tensor Models for Light-field Reconstruction from Focal Stack Data. IVMSP (2018)
Il Yong Chun, Jeffrey A. Fessler
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery. IVMSP (2018)
Il Yong Chun, Jeffrey A. Fessler
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery. CoRR (2018)
Il Yong Chun, Hongki Lim, Zhengyu Huang, Jeffrey A. Fessler
Fast and convergent iterative image recovery using trained convolutional neural networks. Allerton (2018)
Il Yong Chun, Jeffrey A. Fessler
Convolutional analysis operator learning: Application to sparse-view CT : (Invited Paper). ACSSC (2018)
Il Yong Chun, Jeffrey A. Fessler
Convolutional Analysis Operator Learning: Acceleration, Convergence, Application, and Neural Networks. CoRR (2018)
Il Yong Chun, Ben Adcock
Compressed Sensing and Parallel Acquisition. IEEE Trans. Inf. Theory 63 (8) (2017)
Il Yong Chun, Jeffrey A. Fessler
Convolutional Dictionary Learning: Acceleration and Convergence. CoRR (2017)
Saiprasad Ravishankar, Il Yong Chun, Jeffrey A. Fessler
Physics-driven deep training of dictionary-based algorithms for MR image reconstruction. ACSSC (2017)
Xuehang Zheng, Il Yong Chun, Zhipeng Li, Yong Long, Jeffrey A. Fessler
Prior with Learned Transform. CoRR (2017)
Il Yong Chun, Ben Adcock
Uniform Recovery from Subgaussian Multi-Sensor Measurements. CoRR (2016)
Il Yong Chun, Ben Adcock, Thomas M. Talavage
Efficient Compressed Sensing SENSE pMRI Reconstruction With Joint Sparsity Promotion. IEEE Trans. Medical Imaging 35 (1) (2016)
Il Yong Chun, Chen Li, Ben Adcock
Sparsity and parallel acquisition: Optimal uniform and nonuniform recovery guarantees. ICME Workshops (2016)
Il Yong Chun, Chen Li, Ben Adcock
Sparsity and Parallel Acquisition: Optimal Uniform and Nonuniform Recovery Guarantees. CoRR (2016)
Il Yong Chun, Ben Adcock
Optimal sparse recovery for multi-sensor measurements. ITW (2016)
Il Yong Chun, Song Noh, David J. Love, Thomas M. Talavage, Stephen Beckley, Sherman J. Kisner
Mean Squared Error Based Excitation Pattern Design for Parallel Transmit and Receive SENSE MRI Image Reconstruction. IEEE Trans. Computational Imaging 2 (4) (2016)
Il Yong Chun, Ben Adcock
Optimal Sparse Recovery for Multi-Sensor Measurements. CoRR (2016)
Il Yong Chun, Ben Adcock
Compressed sensing and parallel acquisition. CoRR (2016)
Il Yong Chun, Ben Adcock, Thomas M. Talavage
Non-convex compressed sensing CT reconstruction based on tensor discrete Fourier slice theorem. EMBC (2014)
Il Yong Chun, Ben Adcock, Thomas M. Talavage
Efficient compressed sensing SENSE parallel MRI reconstruction with joint sparsity promotion and mutual incoherence enhancement. EMBC (2014)