ICL @ Seoul Nat'l Univ - Publications

ICL @ Seoul Nat'l Univ

Lab members indicated in bold (since 2013)

2026

Journal

S Y Jo, J W Shon, S H An, Y J Nam, D W Choi, S M Lee, H G Seo, S Y Chun, H Kim, G H Kim, “Tailorable porous collagen hydrogels as a physiologically relevant platform for extrachromosomal DNA-associated colorectal cancer research,” Theranostics 16(10):5240-58, Mar 2026 [paper]
S J Lim*, D U Kang*, Y M Cho, S Y Chun, “Dual Context-Conditioned Open-Vocabulary Semantic Segmentation in Remote Sensing,” IEEE Access 14:43664-78 (IEEE Geoscience and Remote Sensing Society Section), Mar 2026 (*co-first authors) [paper]
H C Lee*, D J Mun*, H W Lee*, K C Lee, S M Hong, G H Kim, S A Lee**, S Y Chun**, "Fidelity-Preserving Zero-shot Diffusion Models for Highly Ill-posed Inverse Problems in Lensless Imaging," Image and Vision Computing, 165:105786, Jan 2026 (*co-first authors, **co-corresponding authors) [paper][code]

Conference (full papers)

H G Seo*, B H Lee*, M J Kim*, D H Mah, J H Lee, S Y Chun, "Strong Helps Weak: Directional Cross-Modal Alignment Transfer in Multi-modal LLMs," Accepted at NeurIPS, 2026 (*co-first authors) (Spotlight)
J S Bang, D W Choi, D J Mun, S Y Chun, "FLINT: Coupling Proximal Initialization and Bounded Stochasticity for Flow-Matching Inverse Problems," Accepted at NeurIPS 2026
J H Park, S Y Chun, M G Seok, "DictLLM: Post-training Compression of Large Language Model with Dictionary Kernels," Accepted at NeurIPS, 2026
J H Jang*, H Y Kim*, C W Lee, J J Kim, S Y Chun, "HyFL-CLIP: Hyperbolic Fine-Tuning of CLIP for Robust Long-Context Understanding," Accepted at ECCV, 2026 (*co-first authors) [report][project]
H S Lee, E S Kim, D M Bappy, H H Kim, Y S Lee, S Y Chun, J-H Choi, S H Lee, S J Ahn, “Patch-to-Global: Random Patch Diffusion for Globally Consistent Megapixel Artifact Inpainting in Whole Slide Images,” Accepted at MICCAI, 2026
J S Bang*, D J Mun*, H G Seo, S M Hong, S Y Chun, "Triadic Dynamics Aware Diffusion Posterior Sampling for Inverse Problems: Optimizing Guidance and Stochasticity Schedules," Accepted at ICML, Jul 2026 (*co-first authors) [report][project]
G H Kim*, J J Kim*, S Y Jeon*, J S Park, S Y Chun, "Human Interaction-Aware 3D Reconstruction from a Single Image," Accepted at CVPR, Jun 2026 (*co-first authors) [report][project] (Highlight)
H Y Kim*, J H Jang*, J J Kim, S Y Chun, "Uncertainty-guided Compositional Alignment with Part-to-Whole Semantic Representativeness in Hyperbolic Vision-Language Models," Accepted at CVPR, Jun 2026 (*co-first authors) [report][project] (Highlight)
H G Seo*, B H Lee*, J H Cho, S J Lim, S Y Chun, "Erasing Thousands of Concepts: Towards Scalable and Practical Concept Erasure for Text-to-Image Diffusion Models," Accepted at CVPR, Jun 2026 (*co-first authors) [report][project]
W G Jeong*, H G Seo*, S Y Chun, "Training-free, Perceptually Consistent Low-Resolution Previews with High-Resolution Image for Efficient Workflows of Diffusion Models," Accepted at CVPR, Jun 2026 (*co-first authors) [report][project]
W G Jeong*, K R Lee*, H G Seo, S Y Chun, "Training-free Mixed-Resolution Latent Upsampling for Spatially Accelerated Diffusion Transformers," Accepted at CVPR, Jun 2026 (*co-first authors) (was arXiv:2507.08422 [report]) [project] (Highlight)
S M Hong*, J J Kim*, D H Kim, I S Chung, S Y Chun, "DiffBMP: Differentiable Rendering with Bitmap Primitives," Accepted at CVPR, Jun 2026 (*co-first authors) [report][project]
J H Park, S Y Chun, M G Seok, "AdaRadar: Rate Adaptive Spectral Compression for Radar-based Perception," Accepted at CVPR, Jun 2026 [report][project]

Conference (short papers, abstracts or workshop papers)

H G Seo*, B H Lee*, J H Cho, S J Lim, S Y Chun, "Erasing Thousands of Concepts: Towards Scalable and Practical Concept Erasure for Text-to-Image Diffusion Models," Accepted at CVPRW MUV (Machine Unlearning for Computer Vision), Jun 2026 (*co-first authors)
K R Lee*, K H Lee*, S M Hong*, B H Lee, S Y Chun, "Unlearning the Unpromptable: Prompt-free Instance Unlearning in Diffusion Models," Accepted at CVPRW MUV (Machine Unlearning for Computer Vision), Jun 2026 (*co-first authors)
G H Kim*, J J Kim*, S Y Jeon*, J S Park, S Y Chun, "Human Interaction-Aware 3D Reconstruction from a Single Image," Accepted at CVPRW PhysHuman (Physically Grounded Human Perception and Modeling), Jun 2026 (*co-first authors) (Oral)
H Y Kim*, J H Jang*, J J Kim, S Y Chun, "Uncertainty-guided Compositional Alignment with Part-to-Whole Semantic Representativeness in Hyperbolic Vision-Language Models," Accepted at CVPRW VisCon (Visual Concepts), Jun 2026 (*co-first authors)
M J Kim, D J Mun, H H Jeong, H C Lee, S Y Chun, J H Lee, “Harmonization for a Black-box Model using Disentanglement-based Generator and Bayesian Optimization,” ISMRM, May 2026 (Oral, Summa Cum Laude)
H G Seo*, Y J Nam*, D U Kang, H W Bae, R D Lee, H Kim**, S Y Chun**, “ecSegCls: Deep learning-based method for detecting extrachromosomal DNAs in both interphase and metaphase cancer cells,” AACR, Apr 2026 (*co-first authors, **co-corresponding authors)
S J Lim*, C W Lee*, D U Kang, Y M Cho, S Y Chun, “Feature-guided CRF Refinement for Training-free Open-Vocabulary Remote Sensing Segmentation,” ICEIC, Jan 2026 (*co-first authors)

Technical Report

K R Lee*, K H Lee*, S M Hong*, B H Lee, S Y Chun, "Unlearning the Unpromptable: Prompt-free Instance Unlearning in Diffusion Models," arXiv:2603.10445 [cs.LG], Mar 2026 (*co-first authors) [report]

Patent

S Y Chun, S M Hong, K R Lee, "Audio Data Management Device and Method Using A Generative AI Model," PCT Filed, Apr 2026
S Y Chun, D W Park, B H Lee, "All-in-one image quality improvement model providing method performing image quality restoration for multiple image quality degradation factors," US Patent Granted (12,555,203), Feb 2026

2025

Journal

K R Lee*, S M Hong*, S Y Chun, "Robust Watermarks for Audio Diffusion Models by Quadrature Amplitude Modulation," Pattern Recognition Letters 198:22-28, Dec 2025 (*co-first authors) [paper]
T Hong, Z Xu, S Y Chun, L Hernandez-Garcia, J A Fessler, “Convergent Complex Quasi-Newton Proximal Methods for Gradient-Driven Denoisers in Compressed Sensing MRI Reconstruction,” IEEE Transactions on Computational Imaging 11:1534-1547, Nov 2025 [paper]
J H Yoon, H G Park, M J Kim, H H Jeong, S Y Chun, S Y Ji, J H Lee, "Clinical dementia rating classification using integrated vision and language information," IEEE Access 13:184602-17, Oct 2025 [paper]
K W Hong*, M H Jo*, H C Lee*, S Y Chun, A No, "A Simple Extension of Bayer Demosaicing For Light-Weight Non-Bayer Demosaicing," IEEE Access 13:131061-73, Jul 2025 (*co-first authors) [paper]
H J Shin, T H Kim, J H Lee, S Y Chun, S R Cho, D M Shin, "Sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization,” Computers in Biology and Medicine 189:109900, May 2025 (was arXiv:2312.01689 [report]) [paper]
H W Lee, H C Lee, B H Lee, S Y Chun, "Continual Test-time Adaptation for Robust Remote Photoplethysmography Estimation," IEEE Access 13:55049-60, Apr 2025 [paper]
D U Kang*, H W Lee*, S Y Chun, "Class Concept Representation from Contextual Texts for Training-Free Multi-Label Recognition," IEEE Access 13:36965-36977, Mar 2025 (*co-first authors) [paper]
J H Lee, D W Park, S Y Chun, "Image Quality Assessments By Leveraging Diverse Visual Tasks," IEEE Access 13:15639-49, Jan 2025 [paper]
C Cui, K-J Jung, M A Al-masni, J-H Kim, S-Y Kim, M Park, S Y Huang, S Y Chun, D-H Kim, "Deep Network Regularization for Phase-based Magnetic Resonance Electrical Properties Tomography with Stein’s Unbiased Risk Estimator," IEEE Transactions on Biomedical Engineering 72(1):43-55, Jan 2025 [paper]

Conference (full papers)

H G Seo*, D U Kang*, H J Cho, J H Lee, S Y Chun, "On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models," Accepted at NeurIPS, 2025 (*co-first authors) [report][project]
B H Lee, W G Jeong, W J Han, K B Lee, S Y Chun, “Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis,” ICCV 23232-42, Oct 2025 (was arXiv:2507.02395 [report]) [paper]
G H Kim*, S Y Jeon*, S G Lee, S Y Chun, "PersonaCraft: Personalized Full-Body Image Synthesis for Multiple Identities from Single References Using 3D-Model-Conditioned Diffusion," ICCV 12034-44, Oct 2025 (*co-first authors) (was arXiv:2411.18068 [report]) [paper][project]
H Y Kim*, J H Jang*, S Y Chun, "Robust 3D-Masked Part-level Editing in 3D Gaussian Splatting with Regularized Score Distillation Sampling," ICCV 5501-10, Oct 2025 (*co-first authors) (was arXiv:2507.11061 [report]) [paper][project]
G H Kim, X Li, Y Yuan, K Nagano, T Li, J Kautz, S Y Chun, U Iqbal, "GeoMan: Temporally Consistent Human Geometry Estimation using Image-to-Video Diffusion," ICCV 7451-7461, Oct 2025 (was arXiv:2505.23085 [report]) [paper]
H H Jeong, S Y Chun, J H Lee, “MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning,” MICCAI 11:396-406, Sep 2025 (was ISMRM 2024 & arXiv:2409.10394 [report]) [paper][code]
H G Seo*, W G Jeong*, J-S Seo, S Y Chun, "Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation," ICML 267:53867-905, Jul 2025 (*co-first authors) (was arXiv:2502.08690 [report]) [paper][project]
B H Lee*, S J Lim*, S Y Chun, "Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation," CVPR 18596-606, Jun 2025 (*co-first authors) [paper][report][project] (2025 Qualcomm Innovation Fellowship Korea Finalist)
H G Seo*, W G Jeong*, K R Lee, S Y Chun, "Efficient Personalization of Quantized Diffusion Model without Backpropagation," CVPR 7717-27, Jun 2025 (*co-first authors) [paper][report][project]
D U Kang, H Y Kim, S Y Chun, "Class Distribution-induced Attention Map for Open-vocabulary Semantic Segmentations," ICLR, Apr 2025 [paper][project]
B H Lee*, S J Lim*, S G Lee, D U Kang, S Y Chun, "Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate," ICLR, Apr 2025 (*co-first authors) [paper][project]

Conference (short papers, abstracts or workshop papers)

G H Kim*, S Y Jeon*, S G Lee, S Y Chun, "PersonaCraft: Personalized Full-body Image Synthesis for Multiple Identities from Single References Using 3D-Model-Conditioned Diffusion," ICCV Workshops (P13N) Extended Abstract, Oct 2025 (*co-first authors) [report]
H G Seo*, W G Jeong*, K R Lee, S Y Chun, "Efficient Personalization of Quantized Diffusion Model without Backpropagation," CVPR Workshops (EDGE) Extended Abstract, Jun 2025 (*co-first authors) [report][project]
M J Kim, H H Jeong, H G Seo, W G Jeong, J H Park, S Y Chun, J H Lee, "Harmonization for a black-box deep learning model," ISMRM, May 2025 (oral, summa cum laude, AMPC select)
H H Jeong, H Y Lee, S Y Chun, J H Lee, "Blind harmonization reinvented via 3D diffusion model," ISMRM, May 2025.
J H Lee, J S Bang, S Y Chun, "Few-Shot Arbitrary Super-Resolution Considering Consistency and Realness," ICEIC, Jan 2025 [paper]
D U Kang, S Y Chun, "Focusing on Representation of Multi-Head Attention for Open-Vocabulary Semantic Segmentation," ICEIC, Jan 2025 [paper]
H C Lee, D J Mun, J H Lee, H W Lee, S Y Chun, "Zero-Shot Diffusion Models for Demosaicing in Bayer and Non-Bayer Image Sensors," ICEIC, Jan 2025 [paper]

Conference (domestic)

H W Bae*, S Y Jeon*, S Y Chun, "Object-Interactive Human Motion Generation via Affordance Reasoning," Conference on Electronics, Semiconductor and AI, Aug 2025 (Best Paper Award)
K H Lee*, W J Han*, S Y Chun, “Robust Panoramic Localization via Hybrid Optimization,” Conference on Electronics, Semiconductor and AI, Aug 2025
S G Lee*, H W Bae*, S Y Chun, “Training-Free Dynamics Score Control in Text-to-Video Diffusion Models via Wavelet-Based Latent Refinement,” Conference on Electronics, Semiconductor and AI, Aug 2025
J S Bang*, J H Lee*, H C Lee, D U Kang, S Y Chun, “Self-Cascade Coordinate-guided Residual Diffusion Models for Arbitrary-Scale Perceptual Image Super-Resolution.” Conference on Electronics, Semiconductor and AI, Aug 2025
J S Park, G H Kim, J J Kim, S Y Jeon, S Y Chun, “Detailed texture reconstruction for multiple interacting humans using an iterative method,” Conference on Electronics, Semiconductor and AI, Aug 2025
S Y Jeon*, H W Bae*, J H Jang*, S Y Chun, “SpecArtDiff: ControlNet-Guided Fusion of Panoramic Visuals and Auditory Spectrograms,” Conference on Electronics, Semiconductor and AI, Aug 2025
K R Lee, S Y Chun, “Closed-form Instance Unlearning for Explicit Distributions,” Conference on Electronics, Semiconductor and AI, Aug 2025
H J Cho, H G Seo, D U Kang, J H Lee, S Y Chun, “Mitigating Hallucinations in Large Vision-Language Models via Norm-Guided Visual Filtering,” Conference on Electronics, Semiconductor and AI, Aug 2025
D J Mun*, J S Bang*, S Y Chun, “Zero-shot Diffusion Model based Highly Ill-posed Inverse Problem Solver via Tweedie Variable Optimization with Total Variation,” Conference on Electronics, Semiconductor and AI, Aug 2025

Technical Report

H C Kim, G H Kim, S Y Chun, "LaMoGen: Laban Movement-Guided Diffusion for Text-to-Motion Generation," arXiv:2509.24469 [cs.CV], Sep 2025 [report]
D G Lee, S M Hong, S Y Chun, "Principled Reframing in Motion Transfer with Video Diffusion Models," Available at SSRN, Aug 2025 [report]
J S Bang*, J H Lee*, K H Lee*, H C Lee, D U Kang, S Y Chun, "Self-Cascaded Diffusion Models for Arbitrary-Scale Image Super-Resolution," arXiv:2506.07813 [cs.CV], Jun 2025 (*co-first authors) [report]
T Hong, Z Xu, S Y Chun, L Hernandez-Garcia, J A Fessler, “Convergent Complex Quasi-Newton Proximal Methods for Gradient-Driven Denoisers in Compressed Sensing MRI Reconstruction,” arXiv:2505.04820 [eess.IV], May 2025 [report]
H G Seo*, J S Bang*, H C Lee*, J H Lee, B H Lee, S Y Chun, "Geometrical Properties of Text Token Embeddings for Strong Semantic Binding in Text-to-Image Generation," arXiv:2503.23011 [cs.CV], Mar 2025 (*co-first authors) [report]

Patent

S Y Chun, G H Kim, "Diversity-Preserving Domain Adaptation Using Text-to-image Diffusion For 3D Generative Model," Korea Patent Granted (10-2903508), Dec 2025
S Y Chun, D W Park, B H Lee, "Method for providing all-in-one image quality improvement model that performs image quality restoration for multiple image quality inhibitors," Korea Patent Granted (10-2903223), Dec 2025
S Y Chun, S M Hong, K R Lee, "Audio Data Management Device and Method Using A Generative AI Model," Korea Patent Filed, Apr 2025
S Y Chun, J H Jang, H G Seo, "Method For Affordance Grounding and Apparatus Therefor," Korea Patent Filed, Mar 2025
S Y Chun, H G Seo, H W Bae, D U Kang, H Kim, H J Sun, "Device and Method for Extracting High-Dimensional Gene Fearures Based on Data Dimension Reduction," Korea Patent Filed,Feb 2025
S Y Chun, G H Kim, H Y Kim, H G Seo, D U Kang, "Method and Apparatus for Generating High-resolution Human-centric Scene Using Pretrained Diffusion Model," US Patent Filed, Jan 2025

2024

Journal

T Tirer, R Giryes, S Y Chun, Y C Eldar, "Deep Internal Learning: Deep Learning from a Single Input," IEEE Signal Processing Magazine 41(4):40-57, Jul 2024 (was arXiv:2312.07425 [report]) [paper]

Conference (full papers)

S M Hong, S Y Jeon, K H Lee, E K Ryu**, S Y Chun**, "Gradient-free Decoder Inversion in Latent Diffusion Models," NeurIPS 37:82982-83007, Dec 2024 (**co-corresponding authors) (was arXiv:2409.18442 [report]) [paper]
J H Jang*, H G Seo*, S Y Chun, "INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding," ECCV 15122:18-34, Oct 2024 (*co-first authors) (was arXiv:2409.06210 [report]) [paper][project]
D W Park, H Y Kim, S Y Chun, "Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration," ECCV 15122:87-105, Oct 2024 (was arXiv:2408.01099 [report]) [paper][project]
G H Kim*, H Y Kim*, H G Seo*, D U Kang*, S Y Chun, "BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion," ECCV 15122:126-142, Oct 2024 (*co-first authors) (was arXiv:2404.04544 [report]) [paper][project]
S M Hong, J H Bae, J H Lee**, S Y Chun**, "Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing," ECCV 15123:307-322, Oct 2024 (**co-corresponding authors) (was arXiv:2409.11738 [report]) [paper][project]
J H Park, S Y Chun, M G Seok, "UL-VIO: Ultra-Lightweight Visual-Inertial Odometry with Noise Robust Test-Time Adaptation," ECCV 15121:415-432, Oct 2024 (was arXiv:2409.13106 [report]) [paper][project]
S M Hong, K H Lee, S Y Jeon, H W Bae, S Y Chun, "On Exact Inversion of DPM-Solvers," CVPR 7069-7078, Jun 2024 (was arXiv:2311.18387 [report]) [paper][project] (2024 Qualcomm Innovation Fellowship Korea)
B H Lee, M H Oh, S Y Chun, "Doubly Perturbed Task Free Continual Learning," AAAI 13346-13354, Feb 2024 (was arXiv:2312.13027 [report]) (Oral) [paper]

Conference (short papers, abstracts or workshop papers)

V Hosu et al. (including J H Lee, J S Bang, S Y Chun), AIM 2024 Challenge on UHD Blind Photo Quality Assessment, ECCV Workshops (AIM), 2024 [report]
J H Park, S Y Chun, M G Seok, "Ultra-lightweight Visual-Inertial Odometry with Noise Robust Test-time Adaptation," ECCV Workshops (VCAD) Extended Abstract, 2024 (oral)
J H Jang*, H G Seo*, S Y Chun, "INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding," ECCV Workshops (ACVR) Extended Abstract, 2024 (oral) (*co-first authors)
S M Hong, J H Bae, J H Lee**, S Y Chun**, "Uncertainty-Adaptive Selection of Sampling-Reconstruction for Fourier Compressed Sensing," ECCV Workshops (UnCV) Extended Abstract, 2024 (**co-corresponding authors)
H H Jeong, S Y Chun, J H Lee, "MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning," ISMRM 2024 (oral, magna cum laude)
H V Kim, Z Li, J Y Son, J A Fessler, Y K Dewaraja, S Y Chun, “Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT,” IEEE ICASSP 2024 as a Journal presentation (for IEEE Transactions on Medical Imaging 42(10):2961-2973, Oct 2023 [paper])

Conference (domestic)

B H Lee, S J Lim, S Y Chun, "Selective Concept Erasing for Safe Diffusion Models," Korea Signal Processing Conference, Oct 2024 (Best Poster Presentation Award)
D J Mun, H C Lee, H W Lee, K C Lee, S A Lee, S Y Chun, "Zero-shot diffusion model using DDPG for lensless image restoration," Korea Signal Processing Conference, Oct 2024
J S Bang, J H Lee, S Y Chun, "Zero-Shot Super-Restoration Using Fourier-Guided Parallel Diffusion Model," Korea Signal Processing Conference, Oct 2024
S G Lee, J H Jang, S Y Chun, "Personalization of Abstract Concept in Text-to-Image Diffusion Model," Korea Signal Processing Conference, Oct 2024
W G Jeong, H G Seo, S Y Chun, "Towards Personalization of Generative Models Via Zeroth-Order Optimization," Korea Signal Processing Conference, Oct 2024
W J Han, G H Lee, S M Hong, S Y Chun, "Enhanced Depth Map Upsampling Using ControlNet," Korea Signal Processing Conference, Oct 2024
H W Bae, S Y Chun, "Efficient Representation of Heterogenous Features in Tabular Data: Unifying Structures for a Foundation Model," Conference on Electronics, Semiconductor and AI, Aug 2024
H Y Kim, J H Jang, J B Choi, J O Cha, S Y Chun, "ACE-LCM: Attention-based Controllability and direct classifier-free guidance based quality Enhancing in few-step Latent Consistency Model," Conference on Electronics, Semiconductor and AI, Aug 2024
S Y Jeon, S Y Chun, "Improving Prompt Fidelity in Style-Aligned Image Generation via Attention Manipulation," Conference on Electronics, Semiconductor and AI, Aug 2024
D J Mun, D U Kang, S Y Yie, J S Lee, S Y Chun, "Self-supervised denoising in PET considering real noise characteristics," Workshop on Image Processing and Image Understanding (IPIU), Jan 2024
S G Lee, B H Lee, S Y Chun, "Expert classifier ensemble based post-processing correction for unbiased scene graph generation," Workshop on Image Processing and Image Understanding (IPIU), Jan 2024

Technical Report

H J Cho, D U Kang, S Y Chun, "Short-term Object Interaction Anticipation with Disentangled Object Detection @ Ego4D Short Term Object Interaction Anticipation Challenge," arXiv:2407.05713 [cs.CV], Jul 2024 [report] (3rd place at the 2024 Ego4D-Ego-Exo4D Challenge in the Short-term Object Interaction Anticipation Track at CVPR'24)

Patent

S Y Chun, D W Park, H Y Kim, "Learning Method for Image Restoration Model and Apparatus for Performing The Same," US Patent Filed, Nov 2024
S Y Chun, G H Kim, "Domain Adaptation Using Pose-Preserved Text-to-image Diffusion For 3D Generative Model," US Patent Filed, Oct 2024
S Y Chun, G H Kim, H Y Kim, H G Seo, D U Kang, "Method and Apparatus for Generating High-resolution Human-centric Scene Using Pretrained Diffusion Model," Korea Patent Filed, Aug 2024
S Y Chun, D W Park, H Y Kim, "Learning Method for Image Restoration Model and Apparatus for Performing The Same," Korea Patent Filed, Feb 2024

2023

Journal

H Choi*, B H Lee*, S Y Chun**, J Lee**, "Towards accelerating model parallelism in distributed deep learning systems," Plos One 18(11): e0293338, Nov 2023 (*co-first authors, **co-corresponding authors) [paper]
K M Kim*, K B Lee*, S D Cho*, D U Kang* et al. (including S Y Chun**), "PAIP 2020: Microsatellite Instability Prediction in Colorectal Cancer," Medical Image Analysis 89:102886, Oct 2023 (*co-first authors, **co-corresponding authors) [paper]
H V Kim, Z Li, J Y Son, J A Fessler, Y K Dewaraja, S Y Chun, “Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT,” IEEE Transactions on Medical Imaging 42(10):2961-2973, Oct 2023 [paper]

Conference (full papers)

H C Lee*, D W Park*, W G Jeong*, K J Kim, H W Je, D I Ryu, S Y Chun, "Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors," ICCV 12750-12759, Oct 2023 (*co-first authors) [paper][project][code][report]
S M Hong, I B Park, S Y Chun, "On the Robustness of Normalizing Flows for Inverse Problems in Imaging," ICCV 10745-10755, Oct 2023 (was arXiv:2212.04319 [cs.CV] [report]) [paper][project]
B H Lee*, O C Jung*, J H Choi**, S Y Chun**, "Online Continual Learning on Hierarchical Label Expansion," ICCV 11761-11770, Oct 2023 (*co-first authors, **co-corresponding authors) [paper][project][report]
G H Kim, J H Jang, S Y Chun, "PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion," ICCV 22603-22612, Oct 2023 (was arXiv:2304.01900 [cs.CV] [report]) [paper][project]
G H Kim, S Y Chun, "DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model," CVPR 14203-14213, Jun 2023 (was arXiv:2211.16374 [cs.CV] [report]) [paper][project][code][video] (2023 Qualcomm Innovation Fellowship Korea)
D W Park, B H Lee, S Y Chun, "All-in-one Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations," CVPR 5815-5824, Jun 2023 [paper]
S M Hong, S Y Chun, "Neural Diffeomorphic Non-Uniform B-Spline Flows," AAAI 12225-12233, Feb 2023 (was arXiv:2304:04555 [report]) [paper][project][code] (Oral)

Conference (short papers, abstracts or workshop papers)

H C Lee*, W G Jeong*, D I Ryu*, H W Je, A No, K J Kim**, S Y Chun**, "Fully Quantized Always-on Face Detector Considering Mobile Image Sensors," ICCVW (LBQNN), 2023 (*co-first authors, **co-corresponding authors) (oral) (was arXiv:2311.01001 [report])
D W Park, M J Kim, H J Kim, J H Lee, S Y Chun, "Domain adaptation from posteroanterior to anteroposterior X-ray radiograph classification via deep neural converter with label recycling," ICEIC, Feb 2023.
M J Kim, B J Kim, J Y Kim, H H Jeong, J H Park, H J Kim, S Y Chun, J H Lee, "Deep neural network for cardiomegaly classification on AP-view X-ray," IFMIA, Jan 2023.
D W Park, M J Kim, H J Kim, J H Lee, S Y Chun, "Domain adaptation from posteroanterior to anteroposterior X-ray radiograph classification via deep neural converter with label recycling," IFMIA, Jan 2023.

Technical Report

G H Kim*, D U Kang*, H G Seo*, H Y Kim*, S Y Chun, "Detailed Human-Centric Text Description-Driven Large Scene Synthesis," arXiv:2311.18654 [cs.CV], Nov 2023 [report] (This work was superceded by arXiv:2404.04544 [report])
H G Seo*, H Y Kim*, G H Kim*, S Y Chun, "DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model," arXiv:2304.02827 [cs.CV], Apr 2023 (*co-first authors) [report][project]

Patent

S Y Chun, G H Kim, "Diversity-Preserved Domain Adaptation Using Text-to-image Diffusion For 3D Generative Model," US Patent Filed, Dec 2023
S Y Chun, G H Kim, "Domain Adaptation Using Pose-Preserved Text-to-image Diffusion For 3D Generative Model," Korea Patent Filed, Nov 2023
J H Choi, Y S Jo, S Y Chun, "Method and Device for Denoising Image with Noise by Using Deep Image Prior Which Has Been Applied With Stochastic Temporal Ensembling and Optimized Stopping Timing Automatic Decision Algorithm," Korea Patent Granted (10-2561613), Jul 2023
S Y Chun, D W Park, D U Kang, "Deep Learning-Based Image Deblurring Method And Apparatus," US Patent Granted (11,645,738), May 2023
J W Choi et al. (including S Y Chun), "Apparatus and Method For Prostate Cancer Analysis," US Patent Granted (11,568,539), Jan 2023

2022

Journal

H V Kim*, T Q Phan*, W J Hong, S Y Chun, “Physiology-Based Augmented Deep Neural Network Frameworks For ECG Biometrics With Short ECG Pulses Considering Varying Heart Rates,” Pattern Recognition Letters 156:1-6, Apr 2022 (*co-first authors) [paper]

Conference (full papers)

S Abu-Hussein, T Tirer, S Y Chun, Y C Eldar, R Giryes, "Image Restoration by Deep Projected GSURE," WACV 3602-3611, Jan 2022 [paper] (was arXiv:2102.02485 [cs.CV] [report])

Conference (short papers, abstracts or workshop papers)

A Ignatov et al. (including B H Lee, D W Park, S M Hong, J H Lee, S G Lee, S Y Chun), Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report, ECCV Workshops, Oct 2022 [paper]
A Ignatov et al. (including S M Hong, D W Park, J H Lee, B H Lee, S G Lee, S Y Chun), Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report, ECCV Workshops, Oct 2022 [paper]
J H Park, D W Park, H G Shin, E J Choi, D M Shin, S Y Chun, J H Lee, "Coil to Coil: Self-supervised denoising using phased-array coil images," ISMRM 1157, May 2022
H V Kim*, S Y Yie*, S Y Chun**, J S Lee**, "PUREcomb: Poisson Unbiased Risk Estimator based Ensemble of Self-supervised Deep Denoisers for Clinical Bone Scan Image," IEEE ISBI, Mar 2022 (*co-first authors, **co-corresponding authors) [paper]
D U Kang, S Y Chun, "Multi-Scale Curriculum Learning For Efficient Automatic Whole Slide Image Segmentation," IEEE BigComp AI-BioHealth Workshop, Jan 2022

Conference (domestic)

S G Lee, D U Kang, B H Lee, S Y Chun, "Uncertainty-based dual domain low-dose X-ray CT reconstruction," Korean Signal Processing Conference, Sep 2022

Technical Report

J H Park, D W Park, H-G Shin, E-J Choi, H J An, M J Kim, D M Shin, S Y Chun, J H Lee, "Coil2Coil: Self-supervised MR image denoising using phased-array coil images," arXiv:2208.07552 [cs.CV], Aug 2022 [report]
O C Jung*, D U Kang*, G H Kim*, S Y Chun, "Adaptive GLCM sampling for transformer-based COVID-19 detection on CT," arXiv:2207.01520 [cs.CV], Jul 2022 (*co-first authors) [report]
I Y Chun*, D W Park*, X Zheng*, S Y Chun, Y Long, "Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging," arXiv:2205.04821 [cs.CV], May 2022 (*co-first authors) [report]

Patent

J W Choi et al. (including S Y Chun), Apparatus and Program For Prostate Cancer Analysis, And Operating Method There Of, Korea Patent Granted (10-2393957), 2022
S Y Chun, D W Park, Y H Seo, "Robot grasping method based on single neural network and apparatus performing the same," Korea Patent Granted (10-2397079), 2022

2021

Journal

Y Kang et al. (including W J Hong, D U Kang, S Y Chun), “Development and Operation of A Digital Platform for Sharing Pathology Image Data,” BMC Medical Informatics and Decision Making 21,114, Apr 2021 [paper]
Y J Kim, H Jang, K Lee et al. (including J S Kim, W J Hong, S Y Chun**), "PAIP 2019: Liver cancer segmentation challenge," Medical Image Analysis 67,101854, Jan 2021 (**Co-corresponding authors) [paper]

Conference (full papers)

Y S Jo, S Y Chun, J H Choi, "Rethinking Deep Image Prior for Denoising," ICCV 5087-5096, Oct 2021 [paper][code]
K Y Kim, D W Park, K I Kim, S Y Chun, "Task-Aware Variational Adversarial Active Learning," CVPR 8166-8175, Jun 2021 (was arXiv:2002.04709 [cs.LG] [report]) [paper][code]

Conference (short papers, abstracts or workshop papers)

H V Kim, D H Hwang, J S Lee, S Y Chun, "Unsupervised training for PET sinogram denoising using Poisson unbiased risk estimator," IEEE NSS MIC, Oct 2021

B H Lee, S Y Chun, "Empirically Accelerating Scaled Gradient Projection Using Deep Neural Network For Inverse Problems In Image Processing," IEEE ICASSP 1415-1419, Jun 2021 (was arXiv:1902.02449 [cs.LG] [report])

Patent

J H Choi, Y S Jo, S Y Chun, Method and Device for Denoising Image with Noise by Using Deep Image Prior Which Has Been Applied With Stochastic Temporal Ensembling and Optimized Stopping Timing Automatic Decision Algorithm, PCT Filed, 2021
S Y Chun, D W Park, D U Kang, "Deep learning-based image deblurring method and apparatus performing the same," Korea Patent Granted (10-2336103), 2021
S Y Chun, D W Park, Y H Seo, "Rotation Ensemble Module in Deep Neural Network for Rotation Invariant Robotic Grasp Detection," Korea Patent Granted (10-2288566), 2021

2020

Journal

K Y Kim, S Soltanayev, S Y Chun, "Unsupervised Training Of Deep Low-Dose CT Reconstruction Without Full-Dose CT Images," IEEE Journal of Selected Topics in Signal Processing 14(6):1112-1125, Oct 2020 [paper]
S Y Chun, M P Nguyen, T Q Phan, H V Kim, J A Fessler, Y K Dewaraja, "Algorithms and Analyses for Joint Spectral Image Reconstruction in Y-90 Bremsstrahlung SPECT," IEEE Transactions on Medical Imaging 39(5):1369-79, May 2020 [paper]

Conference (full papers)

D W Park*, D U Kang*, J S Kim, S Y Chun, "Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training," ECCV 327-343, Aug 2020 (*Co-first authors) (Spotlight) [paper][code] (was arXiv:1911.07410 [cs.CV] [report])
D W Park*, Y H Seo*, D J Shin, J S Choi, S Y Chun, "A Single Multi-Task Deep Neural Network with Post-Processing for Object Detection with Reasoning and Robotic Grasp Detection," ICRA 7300-7306, May 2020 (*Co-first authors) [paper] (was arXiv:1909.07050 [cs.CV] [report])
D W Park, Y H Seo, S Y Chun, "Real-Time, Highly Accurate Robotic Grasp Detection using Fully Convolutional Neural Network with Rotation Ensemble Module," ICRA 9397-9403, May 2020 [paper] (was arXiv:1812.07762 [cs.CV] [report])

Conference (short papers, abstracts or workshop papers)

A Lugmayr et al. (including Y H Seo, S Y Chun), "NTIRE 2020 Challenge on Real-World Image Super- Resolution: Methods and Results," CVPR Workshops 2058-2076, Jun 2020 [paper]

S Soltanayev, R Giryes, S Y Chun, Y Eldar, "On Divergence Approximations for Unsupervised Training of Deep Denoisers Based on Stein's Unbiased Risk Estimator," IEEE ICASSP 3592-3596, May 2020 [paper]
H V Kim*, D U Kang*, S Y Chun, "Preliminary Studies On Training And Fine-Tuning Deep Denoiser Neural Networks In Learned D-AMP For Undersampled Real MR Measurements," IEEE ISBI Workshops, Apr 2020 (*Co-first authors) [paper]

Conference (domestic)

D W Park, S Y Chun, “Deep learning-based Single Image Dehazing using Multi-Scale Data Augmentation with Multi Loss,” Korea Signal Processing Conference, Sep 2020. (Best Paper Runner-Up Award)
J Y Son, H V Kim, S Y Chun, “Direct Scatter Correction In Image Domain For Accurate SPECT Image Reconstruction,” Korea Signal Processing Conference, Sep 2020.
W J Hong, S Y Chun, “Patch-based random sampling method for pathology data balancing,” Korea Signal Processing Conference, Sep 2020.

Technical Report

D W Park*, D U Kang*, S Y Chun, "Blur More To Deblur Better: Multi-Blur2Deblur For Efficient Video Deblurring," arXiv:2012.12507 [cs.CV], Dec 2020 (*Co-first authors) [report]

Patent

S Y Chun, D W Park, Y H Seo, "Machine-learning based robot-vision calibration methods for robotic grasping," Korea Patent Granted (10-2179309), 2020

2019

Journal

H V Kim, S Y Chun,"Cancelable Electrocardiogram Biometrics using Compressive Sensing - Generalized Likelihood Ratio Test," IEEE Access 7:9232-9242, 2019

Conference (full papers)

M Zhussip, S Soltanayev, S Y Chun, "Extending Stein’s unbiased risk estimator to train deep denoisers with correlated pairs of noisy images," NeurIPS 2019 [paper][code] (was arXiv:1902.02452 [cs.CV] [report])
M Zhussip, S Soltanayev, S Y Chun, "Training deep learning based image denoisers from undersampled measurements without ground truth and without image prior," CVPR 10247-56, Jun 2019 [paper] (was arXiv:1806.00961v2 [cs.CV] [report])

Conference (short papers, abstracts or workshop papers)

M Zhussip, S Soltanayev, S Y Chun, "Unsupervised learning of denoisers with compressive sensing measurements," ICCV Workshops (Learning for Computational Imaging), Nov 2019
H V Kim, S Y Chun, J A Fessler, Y K Dewaraja, "Joint Spectral Reconstruction for Y90 Bremsstrahlung SPECT using Guided Filtering," Journal of Nuclear Medicine Meeting Abstracts 60(Supp 1):43, Jun 2019. (oral)
H V Kim, S Y Chun, J A Fessler, Y K Dewaraja, "On Enhancing Monte‐Carlo Scatter Correction for Y90 Bremsstrahlung SPECT using Guided Filtering," Journal of Nuclear Medicine Meeting Abstracts 60(Supp 1):1348, Jun 2019. (2nd Place Poster Award on Physics, Instrumentation and Data Sciences)
S Nah et al. (including D W Park, J S Kim, S Y Chun), "NTIRE 2019 Challenge on Video Deblurring: Methods and Results," CVPR Workshops 1974-84, Jun 2019. (Honorable mention award for CVPR’19 NTIRE Challenge on Video Deblurring)
S Nah et al. (including K Y Kim, D U Kang, S Y Chun), "NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results," CVPR Workshops 1985-95, Jun 2019
A Abdelhamed et al. (including M Zhussip, D W Park, S Soltanayev, S Y Chun), "NTIRE 2019 Challenge on Real Image Denoising: Methods and Results," CVPR Workshops 2197-210, Jun 2019 (Runner-up award for CVPR’19 NTIRE Challenge on Real Image Denoising)
J Cai et al. (including D W Park, S Y Chun), "NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results," CVPR Workshops 2211-223, Jun 2019 (Winner award for CVPR’19 NTIRE Challenge on Real Image Super-Resolution)
A Ignatov et al. (including D W Park, S Y Chun), "NTIRE 2019 Challenge on Image Enhancement: Methods and Results," CVPR Workshops 2224-32, Jun 2019 (Runner-up award for CVPR’19 NTIRE Challenge on Image Enhancement)
C O Ancuti et al. (including D W Park, S Y Chun), "NTIRE 2019 Image Dehazing Challenge Report," CVPR Workshops 2241-53, Jun 2019. (Runner-up award for CVPR’19 NTIRE Challenge on Image Dehazing)

Conference (domestic)

W J Hong, H V Kim, S Y Chun, "T-wave embeddings for enhancing the performance of deep neural network based ECG user identifications," Korean Signal Processing Conference, Sep 2019
J S Kim, H V Kim, S Y Chun, "Self-supervised QRS complex detection for ECG preprocessing," Korean Signal Processing Conference, Sep 2019
W J Hong, S Y Chun, "Multiscale Image Segmentation for Skin Lesion Separation," Workshop on Image Processing and Image Understanding (IPIU), Feb 2019
J S Kim, H J Jang, K G Lee, G H Lee, S Y Chun, W K Jeong, "Investigation on Data Balancing for Effective Deep Learning Training on Pathology Image," Workshop on Image Processing and Image Understanding (IPIU), Feb 2019.

Technical Report

D W Park, Y H Seo, S Y Chun, "Real-Time, Highly Accurate Robotic Grasp Detection using Fully Convolutional Neural Networks with High-Resolution Images," arXiv:1809.05828 [cs.CV], Sep. 2018 [report] (This work was superceded by arXiv:1812.07762 [report])
D W Park*, J S Kim*, S Y Chun, "Down-Scaling with Learned Kernels in Multi-Scale Deep Neural Networks for Non-Uniform Single Image Deblurring," arXiv:1903.10157 [cs.CV], Mar. 2019 [report] (*Co-first authors)
S Soltanayev, S Y Chun, "Training and Refining Deep Learning Based Denoisers without Ground Truth Data," arXiv:1803.01314 [cs.CV], Mar. 2019 [report]

Patent

H J Cho, H Lee, , J H Lee, "Specific visualization of neuromelanin-iron complex and ferric iron in the human post-mortem substantia nigra using MR relaxometry at 7T," Korea Patent Granted (10-2025356), 2019
S P Kim, S Y Chun, J H Kang, H V Kim, H K Hong, Y C Jo, "Personal authentication using biometrics integrating electrocardiography and multispectral photodiode matrix," Korea Patent Granted (10-2017749), 2019
S Y Chun, "Simple QT interval correction model and robust / fast GLRT based ECG authentication considering heart rate variation," Korea Patent Granted (10-2008910), 2019

2018

Journal

H V Kim*, H N Kim*, S Y Chun, J H Kang, I Oakley, Y R Lee, J O Ryu, M J Kim, I K Park, H K Hong, Y C Jo, S P Kim, "A Wearable Wrist Band-type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram Sensors," Sensors 18(8):2738, Aug 2018 (*Co-first authors)
K Shin, H Kim, S Y Chun, D H Shin, "TVWS Assisted Performance Anomaly Mitigation Exploiting Spectrum Heterogeneity," Computer Networks 141:128-44, Aug 2018
H Lee, S Baek, S Y Chun, J H Lee, H J Cho, "Specific visualization of iron-clustered neuromelanin and tissue iron in the human post-mortem substantia nigra using MR relaxometry at 7T," NeuroImage 172:874-85, May 2018

Conference (full papers)

S Soltanayev, S Y Chun, "Training Deep Learning based Denoisers without Ground Truth Data," NeurIPS 3261-3271, Dec 2018 [paper][code] (was arXiv:1803.01314v2 [cs.CV] [report])

Conference (short papers, abstracts or workshop papers)

S Y Chun, H Lim, J A Fessler, Y K Dewaraja, "On Parameter Selection for Joint Spectral Reconstruction in Y90 SPECT," IEEE NSS-MIC, Nov 2018
R Timofte et al. (including D W Park, K Y Kim, S Y Chun), "NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results," CVPR Workshops 965-976, Jun 2018
D W Park*, K Y Kim*, S Y Chun, "Efficient Module Based Single Image Super Resolution for Multiple Problems," CVPR Workshops 995-1003, Jun 2018 (*Co-first authors) (oral) (the 3rd place for CVPR’18 NTIRE Challenge on Single Image Super Resolution Tracks 2,3,4 : Realistic, Honorable mention for Track 1 : Classic Bicubic)
H Lee, S Y Baek, S Y Chun, J H Lee, H J Cho, "MR imaging of neuromelanin-iron cluster within human postmortem substantia nigra," ISMRM 423, Jun 2018 (oral) (magna cum laude)

Technical Report

K Y Kim, S Y Chun, "SREdgeNet: Edge Enhanced Single Image Super Resolution using Dense Edge Detection Network and Feature Merge Network," arXiv:1812.07174 [cs.CV], Dec 2018 [report]
D W Park, S Y Chun, "Classification based Grasp Detection using Spatial Transformer Network," arXiv:1803.01356 [cs.CV], Mar 2018 [report]

Patent

H J Cho, H Lee, S Y Chun, J H Lee, "Specific visualization of neuromelanin-iron complex and ferric iron in the human post-mortem substantia nigra using MR relaxometry at 7T," PCT Filed, 2018
S Y Chun, S P Kim, "User Authentication Information Based Guided Filtering Method for Single Pulse ECG User Authentication," Korea Patent Granted (10-1863840), 2018
S Y Chun, S P Kim, H V Kim, "Construction Method of Irreversible Guide Signal from User Authentication Information for Guide Filtering," Korea Patent Granted (10-1865263), 2018

2017

Journal

Y K Dewaraja, S Y Chun, R N Srinivasa, R K Kaza, K C Cuneo, B S Majdalany, P M Novelli, M Ljungberg, J A Fessler, “Improved quantitative Y-90 bremsstrahlung SPECT reconstruction with Monte Carlo scatter modeling,” Medical Physics 44(12):6364-76, Dec 2017
M Kim, H Lee, H J Cho, S Y Chun, J H Shin, E J Kim, J W Ahn, G Y Huh, S Y Baek, J H Lee, "Pathologic Correlation of Paramagnetic White Matter Lesions in Adult-Onset Leukoencephalopathy With Axonal Spheroids and Pigmented Glia," Journal of Neuropathology & Experimental Neurology 76(11):924-8, Nov 2017
M P Nguyen, S Y Chun, "Bounded Self-Weights Estimation Method for Non-Local Means Image Denoising using Minimax Estimators," IEEE Transactions on Image Processing 26(4):1637-1649, Apr 2017

Conference (short papers, abstracts or workshop papers)

H V Kim, M P Nguyen, S Y Chun, "Cancelable ECG Biometrics using GLRT and Performance Improvement using Guided Filter with Irreversible Guide Signal," IEEE EMBC 454-7, Jul 2017
S Y Chun, "Spatial resolution properties of QSM images using MEDI algorithm," ISMRM 1461, Apr 2017
H Lee, S Y Chun, J-H Lee, S-Y Baek, H J Cho, “Correlations of SWI, QSM, and R2* map with neuromelanin and iron distributions from post-mortem human substantia nigra samples,” ISMRM 3661, Apr 2017
H Lee, M Kim, H J Cho, S Y Chun, G Y Huh, E-J Kim, J-H Lee, “Susceptibility-related phase contrast associated with the alterations of myelo- architecture in adult-onset leukoencephalopathy with neuroaxonal spheroids and pigmented glia,” ISMRM 4162, Apr 2017
H V Kim, S Y Chun, "Dynamic PET denoising using Robust PCA," International Forum on Medical Imaging in Asia (IFMIA) 150-1, Jan 2017
T Q Phan, S Y Chun, "Towards Good Features for Skin Cancer Classification," International Forum on Medical Imaging in Asia (IFMIA) 106-7, Jan 2017 (oral)

2016

Journal

J H Lee, S Y Baek, Y K Song, S Lim, H Lee, M P Nguyen, E J Kim, G Y Huh, S Y Chun*, H J Cho*, “The Neuromelanin-related T2* Contrast in Postmortem Human Substantia Nigra with 7T MRI,” Scientific Reports 6:32647, Sep 2016 (*Co-corresponding authors)
S Y Chun, "The Use of Anatomical Information for Molecular Image Reconstruction: Attenuation / Scatter Correction, Motion Compensation, and Noise Reduction," Nucl Med Mol Imaging, 50(1):13-23, Feb 2016 (Invited Paper)

Conference (full papers)

S Y Chun, “Small Scale Single Pulse ECG-based Authentication using GLRT that Considers T Wave Shift and Adaptive Template Update with Prior Information,” IAPR ICPR 3038-43, Dec 2016
S Y Chun, “Single Pulse ECG-based Small Scale User Authentication using Guided Filtering,” IAPR ICB 1-7, Jun 2016 (oral)

Conference (short papers, abstracts or workshop papers)

S Y Chun, J-H Kang, H V Kim, C Lee, I Oakley, S-P Kim, “ECG based User Authentication for Wearable Devices using Short Time Fourier Transform,” IEEE International Conference on Telecommunications and Signal Processing 656-9, Jun 2016
M P Nguyen, S Y Chun, “Center Pixel Weight Estimation for Non-Local Means Filtering using Local James-Stein Estimator with Bounded Self-Weights,” IEEE ISBI 82-85, Apr 2016
S Y Chun, K Y Kim, J S Lee, J A Fessler, “Joint Estimation of Activity Distribution and Attenuation Map for TOF-PET using Alternating Direction Method of Multiplier,” IEEE ISBI 86-89, Apr 2016
J H Lee, S Y Baek, Y K Song, S Lim, H Lee, M P Nguyen, E J Kim, G Y Huh, S Y Chun, H J Cho, “Comparison Study between T2*, Quantitative Susceptibility Mapping, and Histology for Postmortem Human Substantia Nigra,” ISMRM 3661, Apr 2016

Conference (domestic)

H V Kim, S Y Chun,“ECG-based User Authentication using Time-Varying Power Spectral Density and Auto Regressive Model,” Korean Society of Medical & Biological Engineering Spring Conference, May 2016
H V Kim, M P Nguyen, S Y Chun, "ECG-Authentication using B-spline Signal Model," HCI Korea, Jan 2016

2015

Conference

M P Nguyen, H V Kim, S Y Chun, J A Fessler, Y K Dewaraja, "Joint Spectral Image Reconstruction for Y-90 SPECT with Multi-Window Acquisition," IEEE NSS-MIC, Nov 2015
S Y Chun, "Iterative Guided Image Filtering for Multimodal Medical Imaging," IEEE NSS-MIC, Nov 2015
D Hwang, K Y Kim, H J An, S Y Chun, J S Lee, "Evaluation of Non-Local Means Filters for Resolution Recovery Reconstruction," IEEE NSS-MIC Abstract, Nov 2015
K Shin, H Kim, S Y Chun, D H Shin, "Wi-Fi and Super Wi-Fi Co-location for Exploiting Spectrum Heterogeneity," International Conference on Information and Communications Technology Convergence (ICTC) 674-679, Oct 2015 (Invited Paper)
S Y Chun, "Importance of Image Registration for Quantitative SPECT Imaging," IEEE ISBI Abstract, Apr 2015
M P Nguyen, S Y Chun, "A New Non-Local Means Filter with CT Side Information for SPECT," IEEE ISBI Abstract, Apr 2015

Conference (domestic)

S Y Chun,“Non-Local Image Reconstruction for Multimodal Medical Imaging,” Workshop on Image Processing and Image Understanding (IPIU), Feb 2015. (Invited Paper)

2014

Journal

S Y Chun, Y K Dewaraja, J A Fessler, "Alternating direction method of multiplier for tomography with non-local regularizers," IEEE Transactions on Medical Imaging 33(10):1960-8, Oct 2014
M M Goodsitt, A Shenoy, J Shen, D Howard, M J Schipper, S Wilderman, E Christodoulou, S Y Chun, Y K Dewaraja, "Evaluation of dual energy quantitative CT for determining the spatial distributions of red marrow and bone for dosimetry in internal emitter radiation therapy," Medical Physics 41(5):051901, May 2014

Conference

J Zheng, S Y Chun, J A Fessler, Y K Dewaraja, "Optimization and application of non-local means (NLM) filtering of SPECT/CT," Journal of Nuclear Medicine Meeting Abstracts 55:542, May 2014

2013

Journal

J Ouyang, S Y Chun, Y Petibon, A A Bonab, N Alpert, G El Fakhri, "Bias atlases for segmentation-based PET attenuation correction using PET-CT and MR," IEEE Transactions on Nuclear Science 60(5):3373-82, Oct 2013
S Y Chun, J A Fessler, Y K Dewaraja, "Post-reconstruction non-local means filtering methods using CT side information for quantitative SPECT," Physics in Medicine and Biology 58(17):6225-40, Sep 2013
Y Petibon, J Ouyang, X Zhu, C Huang, T G Reese, S Y Chun, Q Li, G El Fakhri, “Cardiac motion compensation and resolution modeling in simultaneous PET-MR: a cardiac lesion detection study,” Physics in Medicine and Biology 58(7): 2085-2102, Mar 2013
S Y Chun, J A Fessler, Y K Dewaraja, “Correction for collimator-detector response in SPECT using point spread function template,” IEEE Transactions on Medical Imaging 32(2):295-305, Feb 2013
S Y Chun, J A Fessler, “Noise properties of tomographic motion-compensated image reconstruction methods,” IEEE Transactions on Medical Imaging 32(2):141-52, Feb 2013

Conference

S Y Chun, Y K Dewaraja, “Investigation on Parameter Selection of Non-Local Means Filters Using CT Side Information for Multiple I-131 SPECT Scans,” IEEE NSS-MIC, Nov 2013
K Y Kim, S Y Chun, J S Lee, "Separable Footprint Method for Fully 3D PET Reconstruction with SIMD and SIMT," IEEE NSS-MIC Abstract, Nov 2013
S Y Chun, Y K Dewaraja, J A Fessler, “Alternating direction method of multiplier for emission tomography with non-local regularizers,” International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine (Fully3D) 62-5, Jun 2013
S Y Chun, Y K Dewaraja, J A Fessler, “Motion Correction in Positron Emission Tomography (PET) for Cancer Imaging,” Korean Society of Medical & Biological Engineering Spring Conference, May 2016 (Invited Talk)

2004-2012

Journal

S Y Chun, T Reese, J Ouyang, B Guerin, C Catana, X Zhu, N Alpert, G El Fakhri, “MRI-based nonrigid motion correction in simultaneous PET/MRI,” Journal of Nuclear Medicine 53(8):1284-1291, Aug 2012 (Cover Article)
S Y Chun, J A Fessler, “Spatial resolution properties of tomographic motion-compensated image reconstruction methods,” IEEE Transactions on Medical Imaging 31(7):1413-25, Jul 2012
B Guerin, S Cho, S Y Chun, X Zhu, N M Alpert, G El Fakhri, T Reese, C Catana, “Nonrigid PET motion compensation in the lower abdomen using simultaneous tagged-MRI and PET imaging,” Medical Physics 38(6):3025-3038, Jun 2011
S Y Chun, J A Fessler, “A simple regularizer for B-spline nonrigid image registration that encourages local invertibility,” IEEE Journal of Selected Topics in Signal Processing 3(1):159-69, Feb 2009

Book Chapter

J E Huggins, B Graimann, S Y Chun , J A Fessler, S P Levine, “Electrocorticogram as a brain computer interface signal source,” Towards Brain-Computer Interfacing, G Dornhege, JdR Millan, T Hinterberger and D McFarland, KR Meuller, editor. MIT Press, Cambridge, 129-46, Sep 2007

Conference

S Y Chun, J A Fessler, Y K Dewaraja, “Non-local means methods using CT side information for I-131 SPECT image reconstruction,” IEEE NSS-MIC 3362-6, Nov 2012
S Y Chun, J A Fessler, “Fast variance image predictions for motion-compensated image reconstruction,” IEEE NSS-MIC Abstract, Nov 2012
Y K Dewaraja, P Roberson, N Clinthorne, S Y Chun, J A Fessler, MLjungberg, “Quantitative Bremsstrahlung SPECT/CT image reconstruction with patient specific Monte Carlo scatter compensation for Y-90 micro-sphere radioembolization (RE),” Journal of Nuclear Medicine Meeting Abstracts 53:444, May 2012
S Y Chun, J A Fessler, Y K Dewaraja, “Correction for collimator-detector response (CDR) in quantitative SPECT using point spread function (PSF) template approach,” Journal of Nuclear Medicine Meeting Abstracts 53:2365, May 2012
J Ouyang, S Y Chun, T Reese, C Catana, E Moussallem, N M Alpert, G El Fakhri, “Effect of MR-based non-rigid motion correction on lesion detection in simultaneous PET-MR,” IEEE NSS-MIC Abstract, Oct 2011
S Y Chun, E Moussallem, T Reese, B Guerin, C Catana, N M Alpert, and G El Fakhri, “In-vivo studies of tagged MR based PET motion correction in simultaneous PET-MR,” Journal of Nuclear Medicine Meeting Abstracts 52:261, May 2011
J Ouyang, S Y Chun, and G El Fakhri, “MR-based attenuation correction for whole-body PET-MR,” Journal of Nuclear Medicine Meeting Abstracts 52:260, May 2011
S Chun, T G Reese, B Guerin, C Catana, G El Fakhri, “In-vivo tagged MR-based motion correction in combined MR-PET,” ISMRM 2674, May 2011
S Y Chun, J A Fessler, “Regularization design for isotropic spatial resolution in motion-compensated image reconstruction,” IEEE ISBI 1500-3, Mar 2011
S Y Chun, T Reese, B Guerin, X Zhu, C Catana, G El Fakhri, “Tagged MR based Respiratory Motion Correction in simultaneous PET-MR,” IEEE NSS-MIC Workshop (PET-MR), Nov 2010
S Y Chun, T Reese, B Guerin, X Zhu, C Catana, G El Fakhri, “Improved lesion detection with B-spline nonrigid motion correction in simultaneous PET-MR,” IEEE NSS-MIC Abstract, Nov 2010 (MIC Trainee Award)
J Ouyang, S Y Chun, C Catana, T Benner, G El Fakhri, “MR-based attenuation correction using clinical whole-body MR and PET/CT,” IEEE NSS-MIC Abstract, Nov 2010
S Y Chun, T Reese, B Guerin, X Zhu, S Cho, J Ouyang, C Catana, G El Fakhri, “4D tagged MR-based motion correction in simultaneous PET-MR,” Journal of Nuclear Medicine Meeting Abstracts 51:80, May 2010 (Society of Nuclear Medicine Computer and Instrumentation Young Investigator Award, 2nd place, Covidien Travel Award)
S Y Chun, B Guerin, S Cho, T Reese, X Zhu, J Ouyang, C Catana, G El Fakhri, “Assessment of motion correction strategies in simultaneous PET-MR,” Journal of Nuclear Medicine Meeting Abstracts 51:359, May 2010 (Covidien Travel Award)
J Ouyang, S Y Chun, G El Fakhri, “MR-based Attenuation Correction for Whole-body PET/MR,” Journal of Nuclear Medicine Meeting Abstracts 51:1381, May 2010
S Chun, S Cho, T G Reese, B Guerin, X Zhu, J Ouyang, C Catana, G El Fakhri, “Compensation for nonrigid motion using B-spline image registration in simultaneous MR-PET,” ISMRM 3052, May 2010
T G Reese, B Guerin, S Cho, S Y Chun, J Ouyang, X Zhu, C Catana, G El Fakhri, “Respiratory Motion Correction of PET using Simultaneously Acquired Tagged MRI,” ISMRM 3053, May 2010
S Y Chun, C Schretter, J A Fessler, “Sufficient condition for local invertibility of spatio-temporal 4D B-spline deformations,” IEEE ISBI 1221-4, Apr 2010
S Y Chun, J A Fessler, “Spatial resolution and noise properties of regularized motion-compensated image reconstruction,” IEEE ISBI 863-6, Jun 2009 (Student Travel Grant)
S Y Chun, J A Fessler, M L Kessler, “A simple penalty that encourages local invertibility and considers sliding effects for respiratory motion,” SPIE Medical Imaging: Image Processing 72592U, Feb 2009
S Y Chun, J A Fessler, “Joint image reconstruction and nonrigid motion estimation with a simple penalty that encourages local invertibility,” SPIE Medical Imaging: Physics of Medical Imaging 72580U, Feb 2009
S Y Chun, J A Fessler, “Regularized Methods for Topology-preserving Smooth Nonrigid Image Registration Using B-Spline Basis,” IEEE ISBI 1099-1102, May 2008 (Student Travel Grant)
J E Huggins, S P Levine, V Solo, J A Fessler, D M Minecan, S Y Chun, R K Kushwaha, S L BeMent, O Sagher, L A Schuh, B J Smith, K V Elisevich, G Pfurtscheller, B Graimann, “University of Michigan Direct Brain Interface: 2005 Update,” Brain-Computer Interface Technology Abstracts 27-8, Jun 2005
S Y Chun, Jane E Huggins, J A Fessler, Victor Solo, Simon P Levine, “Detection of events in electrocorticogram using a quadratic detector based on a two covariance model,” Brain-Computer Interface Technology Abstracts 82, Jun 2005
Jane E Huggins, Simon P Levine, Victor Solo, J A Fessler, D M Minecan, S Y Chun, Robert C Welsh, R K Kushwaha, Spencer L BeMent, “2005 progress on a direct brain interface based on detection of ERPs in ECoG,” NIH Neural Interfaces Workshop 45, Mar 2005
J A Fessler, S Y Chun, J E Huggins, S P Levine, “Detection of Event-Related Spectral Changes in Electrocorticograms,” IEEE NER 269-272, Mar 2005
J A Fessler, S Y Chun, J E Huggins, S P Levine, “Model-based detection of event-related signals in electrocorticograms,” NIPS Workshop (Towards Brain-Computer Interfacing), Dec 2004

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