Il Yong Chun - RankMe

57 papers A* 2B 1Misc 5Journal 38Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Equilibrium contrastive learning for imbalanced image classification. CoRR Sumin Roh, Harim Kim, Ho Yun Lee, Il Yong Chun
2026	J	`jnl`	SToRM: Supervised Token Reduction for Multi-modal LLMs toward efficient end-to-end autonomous driving. CoRR Seo Hyun Kim, Jin Bok Park, Do Yeon Koo, Ho Gun Park, Il Yong Chun
2025	J	`jnl`	Autoregression-free video prediction using diffusion model for mitigating error propagation. CoRR Woonho Ko, Jin Bok Park, Il Yong Chun
2025	Misc	`conf`	DX2CT: Diffusion Model for 3D CT Reconstruction from Bi or Mono-planar 2D X-ray(s). ICASSP Yun Su Jeong, Hye Bin Yoo, Il Yong Chun
2025	A*	`conf`	LaB-CL: Localized and Balanced Contrastive Learning for Improving Parking Slot Detection. ICRA U. Jin Jeong, Sumin Roh, Il Yong Chun
2025	A*	`conf`	MAMS: Model-Agnostic Module Selection Framework for Video Captioning. AAAI Sangho Lee, Il Yong Chun, Hogun Park
2025	J	`jnl`	MAMS: Model-Agnostic Module Selection Framework for Video Captioning. CoRR Sangho Lee, Il Yong Chun, Hogun Park
2025	J	`jnl`	MoTDiff: High-resolution Motion Trajectory estimation from a single blurred image using Diffusion models. CoRR Wontae Choi, Jaelin Lee, Hyung Sup Yun, Byeungwoo Jeon, Il Yong Chun
2025	J	`jnl`	STAR: Sea Turtle Basic Activity Recognizer Network via Efficient Transformer. IEEE Access Muhamad Dwisnanto Putro, Agung Sutrisno, Indri Shelovita Manembu, Il Yong Chun, Tae-Hyun Oh
2024	—	`conf`	An Efficient and Effective Sea Turtle Detection Using Positioning Enhancement Module. IWIS Muhamad Dwisnanto Putro, Dirko G. S. Ruindungan, Rendy Syahputra, Tae-Hyun Oh, Il Yong Chun, Vecky Canisius Poekoel
2024	J	`jnl`	DX2CT: Diffusion Model for 3D CT Reconstruction from Bi or Mono-planar 2D X-ray(s). CoRR Yun Su Jeong, Hye Bin Yoo, Il Yong Chun
2024	—	`conf`	Improving Light Field Reconstruction from Limited Focal Stack Using Diffusion Models. MLSP Hyung Sup Yun, Il Yong Chun
2024	J	`jnl`	Improving Neural Radiance Fields Using Near-Surface Sampling with Point Cloud Generation. Neural Process. Lett. Hye Bin Yoo, Hyunmin Han, Sung Soo Hwang, Il Yong Chun
2024	J	`jnl`	LaB-CL: Localized and Balanced Contrastive Learning for improving parking slot detection. CoRR U. Jin Jeong, Sumin Roh, Il Yong Chun
2023	J	`jnl`	End-to-End Driving via Self-Supervised Imitation Learning Using Camera and LiDAR Data. CoRR Jin Bok Park, Jinkyu Lee, Muhyun Back, Hyunmin Han, David T. Ma, Sang Min Won, Sung Soo Hwang, Il Yong Chun
2023	J	`jnl`	Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames. IEEE Trans. Intell. Transp. Syst. Jinkyu Lee, Muhyun Back, Sung Soo Hwang, Il Yong Chun
2023	J	`jnl`	Improving Neural Radiance Field using Near-Surface Sampling with Point Cloud Generation. CoRR Hye Bin Yoo, Hyunmin Han, Sung Soo Hwang, Il Yong Chun
2023	J	`jnl`	Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems. IEEE Trans. Pattern Anal. Mach. Intell. Il Yong Chun, Zhengyu Huang, Hongki Lim, Jeffrey A. Fessler
2022	J	`jnl`	Accelerated MRI With Deep Linear Convolutional Transform Learning. CoRR Hongyi Gu, Burhaneddin Yaman, Steen Moeller, Il Yong Chun, Mehmet Akçakaya
2022	J	`jnl`	Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging. CoRR Il Yong Chun, Dongwon Park, Xuehang Zheng, Se Young Chun, Yong Long
2021	J	`jnl`	Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames. CoRR Jinkyu Lee, Muhyun Back, Sung Soo Hwang, Il Yong Chun
2021	J	`jnl`	Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles. CoRR Muhyun Back, Jinkyu Lee, Kyuho Bae, Sung Soo Hwang, Il Yong Chun
2020	J	`jnl`	An Improved Iterative Neural Network for High-Quality Image-Domain Material Decomposition in Dual-Energy CT. CoRR Zhipeng Li, Yong Long, Il Yong Chun
2020	J	`jnl`	Convolutional Analysis Operator Learning: Acceleration and Convergence. IEEE Trans. Image Process. Il Yong Chun, Jeffrey A. Fessler
2020	—	`conf`	Image-Domain Material Decomposition Using an Iterative Neural Network for Dual-Energy CT. ISBI Zhipeng Li, Il Yong Chun, Yong Long
2020	J	`jnl`	Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network. IEEE Trans. Medical Imaging Hongki Lim, Il Yong Chun, Yuni K. Dewaraja, Jeffrey A. Fessler
2020	Misc	`conf`	Light-Field Reconstruction and Depth Estimation from Focal Stack Images Using Convolutional Neural Networks. ICASSP Zhengyu Huang, Jeffrey A. Fessler, Theodore B. Norris, Il Yong Chun
2020	Misc	`conf`	Momentum-Net for Low-Dose CT Image Reconstruction. ACSSC Siqi Ye, Yong Long, Il Yong Chun
2020	J	`jnl`	Momentum-Net for Low-Dose CT Image Reconstruction. CoRR Siqi Ye, Yong Long, Il Yong Chun
2019	—	`conf`	BCD-Net for Low-Dose CT Reconstruction: Acceleration, Convergence, and Generalization. MICCAI (6) Il Yong Chun, Xuehang Zheng, Yong Long, Jeffrey A. Fessler
2019	J	`jnl`	BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization. CoRR Il Yong Chun, Xuehang Zheng, Yong Long, Jeffrey A. Fessler
2019	J	`jnl`	Convolutional Analysis Operator Learning: Dependence on Training Data. CoRR Il Yong Chun, David Hong, Ben Adcock, Jeffrey A. Fessler
2019	J	`jnl`	Convolutional Analysis Operator Learning: Dependence on Training Data. IEEE Signal Process. Lett. Il Yong Chun, David Hong, Ben Adcock, Jeffrey A. Fessler
2019	J	`jnl`	Improved low-count quantitative PET reconstruction with a variational neural network. CoRR Hongki Lim, Il Yong Chun, Yuni K. Dewaraja, Jeffrey A. Fessler
2019	—	`conf`	Incorporating Handcrafted Filters in Convolutional Analysis Operator Learning for Ill-Posed Inverse Problems. CAMSAP Caroline Crockett, David Hong, Il Yong Chun, Jeffrey A. Fessler
2019	J	`jnl`	Momentum-Net: Fast and convergent iterative neural network for inverse problems. CoRR Il Yong Chun, Zhengyu Huang, Hongki Lim, Jeffrey A. Fessler
2018	J	`jnl`	Convolutional Analysis Operator Learning: Acceleration, Convergence, Application, and Neural Networks. CoRR Il Yong Chun, Jeffrey A. Fessler
2018	J	`jnl`	Convolutional Dictionary Learning: Acceleration and Convergence. IEEE Trans. Image Process. Il Yong Chun, Jeffrey A. Fessler
2018	Misc	`conf`	Convolutional analysis operator learning: Application to sparse-view CT : (Invited Paper). ACSSC Il Yong Chun, Jeffrey A. Fessler
2018	—	`conf`	Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery. IVMSP Il Yong Chun, Jeffrey A. Fessler
2018	J	`jnl`	Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery. CoRR Il Yong Chun, Jeffrey A. Fessler
2018	—	`conf`	Fast and convergent iterative image recovery using trained convolutional neural networks. Allerton Il Yong Chun, Hongki Lim, Zhengyu Huang, Jeffrey A. Fessler
2018	—	`conf`	Low-Rank Plus Sparse Tensor Models for Light-field Reconstruction from Focal Stack Data. IVMSP Cameron J. Blocker, Il Yong Chun, Jeffrey A. Fessler
2017	J	`jnl`	Compressed Sensing and Parallel Acquisition. IEEE Trans. Inf. Theory Il Yong Chun, Ben Adcock
2017	J	`jnl`	Convolutional Dictionary Learning: Acceleration and Convergence. CoRR Il Yong Chun, Jeffrey A. Fessler
2017	Misc	`conf`	Physics-driven deep training of dictionary-based algorithms for MR image reconstruction. ACSSC Saiprasad Ravishankar, Il Yong Chun, Jeffrey A. Fessler
2017	J	`jnl`	Sparse-View X-Ray CT Reconstruction Using 𝓵 CoRR Xuehang Zheng, Il Yong Chun, Zhipeng Li, Yong Long, Jeffrey A. Fessler
2016	J	`jnl`	Compressed sensing and parallel acquisition. CoRR Il Yong Chun, Ben Adcock
2016	J	`jnl`	Efficient Compressed Sensing SENSE pMRI Reconstruction With Joint Sparsity Promotion. IEEE Trans. Medical Imaging Il Yong Chun, Ben Adcock, Thomas M. Talavage
2016	J	`jnl`	Mean Squared Error Based Excitation Pattern Design for Parallel Transmit and Receive SENSE MRI Image Reconstruction. IEEE Trans. Computational Imaging Il Yong Chun, Song Noh, David J. Love, Thomas M. Talavage, Stephen Beckley, Sherman J. Kisner
2016	J	`jnl`	Optimal Sparse Recovery for Multi-Sensor Measurements. CoRR Il Yong Chun, Ben Adcock
2016	B	`conf`	Optimal sparse recovery for multi-sensor measurements. ITW Il Yong Chun, Ben Adcock
2016	J	`jnl`	Sparsity and Parallel Acquisition: Optimal Uniform and Nonuniform Recovery Guarantees. CoRR Il Yong Chun, Chen Li, Ben Adcock
2016	—	`conf`	Sparsity and parallel acquisition: Optimal uniform and nonuniform recovery guarantees. ICME Workshops Il Yong Chun, Chen Li, Ben Adcock
2016	J	`jnl`	Uniform Recovery from Subgaussian Multi-Sensor Measurements. CoRR Il Yong Chun, Ben Adcock
2014	—	`conf`	Efficient compressed sensing SENSE parallel MRI reconstruction with joint sparsity promotion and mutual incoherence enhancement. EMBC Il Yong Chun, Ben Adcock, Thomas M. Talavage
2014	—	`conf`	Non-convex compressed sensing CT reconstruction based on tensor discrete Fourier slice theorem. EMBC Il Yong Chun, Ben Adcock, Thomas M. Talavage