Il Yong Chun - researchr alias

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Viewing Publication 1 - 24 from 24

2024

Improving Neural Radiance Fields Using Near-Surface Sampling with Point Cloud GenerationHye Bin Yoo, Hyunmin Han, Sung-Soo Hwang, Il Yong Chun. npl, 56(4):214, August 2024. [doi]

Improving Light Field Reconstruction from Limited Focal Stack Using Diffusion ModelsHyung Sup Yun, Il Yong Chun. mlsp 2024: 1-6 [doi]

2023

Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse ProblemsIl Yong Chun, Zhengyu Huang, Hongki Lim, Jeffrey A. Fessler. pami, 45(4):4915-4931, April 2023. [doi]

Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective FramesJinKyu Lee, Muhyun Back, Sung-Soo Hwang, Il Yong Chun. tits, 24(3):2800-2813, March 2023. [doi]

2020

2019

Convolutional Analysis Operator Learning: Dependence on Training DataIl Yong Chun, David Hong, Ben Adcock, Jeffrey A. Fessler. spl, 26(8):1137-1141, 2019. [doi]

Incorporating Handcrafted Filters in Convolutional Analysis Operator Learning for Ill-Posed Inverse ProblemsCaroline Crockett, David Hong, Il Yong Chun, Jeffrey A. Fessler. camsap 2019: 316-320 [doi]

2018

2017

Compressed Sensing and Parallel AcquisitionIl Yong Chun, Ben Adcock. TIT, 63(8):4860-4882, 2017. [doi]

Physics-driven deep training of dictionary-based algorithms for MR image reconstructionSaiprasad Ravishankar, Il Yong Chun, Jeffrey A. Fessler. acssc 2017: 1859-1863 [doi]

2016

2014

Non-convex compressed sensing CT reconstruction based on tensor discrete Fourier slice theoremIl Yong Chun, Ben Adcock, Thomas M. Talavage. embc 2014: 5141-5144 [doi]

Efficient compressed sensing SENSE parallel MRI reconstruction with joint sparsity promotion and mutual incoherence enhancementIl Yong Chun, Ben Adcock, Thomas M. Talavage. embc 2014: 2424-2427 [doi]

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