Regularized methods for topology-preserving smooth nonrigid image registration using B-spline basis. - Se Young Chun; Jeffrey A. Fessler (ISBI, 2008)

Spatial Resolution and Noise Properties of Regularized Motion-Compensated Image Reconstruction. - Se Young Chun; Jeffrey A. Fessler (ISBI, 2009)

A simple penalty that encourages local invertibility and considers sliding effects for respiratory motion. - Se Young Chun; Jeffrey A. Fessler; Marc L. Kessler (Medical Imaging: Image Processing, 2009)

A Simple Regularizer for B-spline Nonrigid Image Registration That Encourages Local Invertibility. - Se Young Chun; Jeffrey A. Fessler (IEEE J. Sel. Top. Signal Process., 2009)

Sufficient condition for local invertibility of spatio-temporal 4D B-spline deformations. - Se Young Chun; Colas Schretter; Jeffrey A. Fessler (ISBI, 2010)

Regularization design for isotropic spatial resolution in motion-compensated image reconstruction. - Se Young Chun; Jeffrey A. Fessler (ISBI, 2011)

Spatial Resolution Properties of Motion-Compensated Tomographic Image Reconstruction Methods. - Se Young Chun; Jeffrey A. Fessler (IEEE Trans. Medical Imaging, 2012)

Noise Properties of Motion-Compensated Tomographic Image Reconstruction Methods. - Se Young Chun; Jeffrey A. Fessler (IEEE Trans. Medical Imaging, 2013)

Correction for Collimator-Detector Response in SPECT Using Point Spread Function Template. - Se Young Chun; Jeffrey A. Fessler; Yuni K. Dewaraja (IEEE Trans. Medical Imaging, 2013)

Alternating Direction Method of Multiplier for Tomography With Nonlocal Regularizers. - Se Young Chun; Yuni K. Dewaraja; Jeffrey A. Fessler (IEEE Trans. Medical Imaging, 2014)

Wi-Fi and super Wi-Fi co-location for exploiting spectrum heterogeneity. - Kyubo Shin; Hyoil Kim; Se Young Chun; Dong-Hoon Shin (ICTC, 2015)

Single pulse ECG-based small scale user authentication using guided filtering. - Se Young Chun (ICB, 2016)

Small scale single pulse ECG-based authentication using GLRT that considers T wave shift and adaptive template update with prior information. - Se Young Chun (ICPR, 2016)

Joint estimation of activity distribution and attenuation map for TOF-PET using alternating direction method of multiplier. - Se Young Chun; Kyeong Yun Kim; Jae Sung Lee; Jeffrey A. Fessler (ISBI, 2016)

Center pixel weight estimation for non-local means filtering using local James-Stein estimator with bounded self-weights. - Mink Phuong Nguyen; Se Young Chun (ISBI, 2016)

ECG based user authentication for wearable devices using short time Fourier transform. - Se Young Chun; Jae-Hwan Kang; Hanvit Kim; Chung Ho Lee; Ian Oakley; Sung-Phil Kim (TSP, 2016)

Cancelable ECG biometrics using GLRT and performance improvement using guided filter with irreversible guide signal. - Hanvit Kim; Minh Phuong Nguyen; Se Young Chun (EMBC, 2017)

Bounded Self-Weights Estimation Method for Non-Local Means Image Denoising Using Minimax Estimators. - Minh Phuong Nguyen; Se Young Chun (IEEE Trans. Image Process., 2017)

Efficient Module Based Single Image Super Resolution for Multiple Problems. - Dongwon Park; Kwan-Young Kim; Se Young Chun (CVPR Workshops, 2018)

Training deep learning based denoisers without ground truth data. - Shakarim Soltanayev; Se Young Chun (NeurIPS, 2018)

TVWS assisted performance anomaly mitigation exploiting spectrum heterogeneity. - Kyubo Shin; Hyoil Kim; Se Young Chun; Dong-Hoon Shin (Comput. Networks, 2018)

Classification based Grasp Detection using Spatial Transformer Network. - Dongwon Park; Se Young Chun (CoRR, 2018)

Simultaneous compressive image recovery and deep denoiser learning from undersampled measurements. - Magauiya Zhussip; Se Young Chun (CoRR, 2018)

SREdgeNet: Edge Enhanced Single Image Super Resolution using Dense Edge Detection Network and Feature Merge Network. - Kwan-Young Kim; Se Young Chun (CoRR, 2018)

Rotation Ensemble Module for Detecting Rotation-Invariant Features. - Dongwon Park; Yonghyeok Seo; Se Young Chun (CoRR, 2018)

Specific visualization of neuromelanin-iron complex and ferric iron in the human post-mortem substantia nigra using MR relaxometry at 7T. - Hansol Lee; Sun-Yong Baek; Se Young Chun; Jae-Hyeok Lee 002; HyungJoon Cho (NeuroImage, 2018)

A Wearable Wrist Band-Type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram Sensors. - Hanvit Kim; Haena Kim; Se Young Chun; Jae-Hwan Kang; Ian Oakley; Youryang Lee; Jun Oh Ryu; Min Joon Kim; In Kyu Park; Hyuck Ki Hong; Young Chang Jo; Sung-Phil Kim (Sensors, 2018)

NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. - Abdelrahman Abdelhamed; Radu Timofte; Michael S. Brown; Songhyun Yu; Bumjun Park; Jechang Jeong; Seung-Won Jung; Dong-Wook Kim; Jae Ryun Chung; Jiaming Liu; Yuzhi Wang; Chi-Hao Wu 001; et al. (CVPR Workshops, 2019)

NTIRE 2019 Image Dehazing Challenge Report. - Codruta O. Ancuti; Cosmin Ancuti; Radu Timofte; Luc Van Gool; Lei Zhang 006; Ming-Hsuan Yang 001; Tiantong Guo; Xuelu Li; Venkateswararao Cherukuri; Vishal Monga; Hao Jiang; Siyuan Yang; et al. (CVPR Workshops, 2019)

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. - Jianrui Cai; Shuhang Gu; Radu Timofte; Lei Zhang 006; Xiao Liu 022; Yukang Ding; Dongliang He; Chao Li 034; Yi Fu; Shilei Wen; Ruicheng Feng; Jinjin Gu; et al. (CVPR Workshops, 2019)

NTIRE 2019 Challenge on Image Enhancement: Methods and Results. - Andrey Ignatov; Radu Timofte; Xiaochao Qu; Xingguang Zhou; Ting Liu; Pengfei Wan; Syed Waqas Zamir; Aditya Arora; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001; Dongwon Park; et al. (CVPR Workshops, 2019)

NTIRE 2019 Challenge on Video Deblurring: Methods and Results. - Seungjun Nah; Radu Timofte; Sungyong Baik; Seokil Hong; Gyeongsik Moon; Sanghyun Son 002; Kyoung Mu Lee; Xintao Wang; Kelvin C. K. Chan; Ke Yu; Chao Dong 005; Chen Change Loy; et al. (CVPR Workshops, 2019)

NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. - Seungjun Nah; Radu Timofte; Shuhang Gu; Sungyong Baik; Seokil Hong; Gyeongsik Moon; Sanghyun Son 002; Kyoung Mu Lee; Xintao Wang; Kelvin C. K. Chan; Ke Yu; Chao Dong 005; et al. (CVPR Workshops, 2019)

Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior. - Magauiya Zhussip; Shakarim Soltanayev; Se Young Chun (CVPR, 2019)

Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images. - Magauiya Zhussip; Shakarim Soltanayev; Se Young Chun (NeurIPS, 2019)

Cancelable ECG Biometrics Using Compressive Sensing-Generalized Likelihood Ratio Test. - Hanvit Kim; Se Young Chun (IEEE Access, 2019)

Speeding up scaled gradient projection methods using deep neural networks for inverse problems in image processing. - Byung Hyun Lee; Se Young Chun (CoRR, 2019)

Theoretical analysis on Noise2Noise using Stein's Unbiased Risk Estimator for Gaussian denoising: Towards unsupervised training with clipped noisy images. - Magauiya Zhussip; Shakarim Soltanayev; Se Young Chun (CoRR, 2019)

Down-Scaling with Learned Kernels in Multi-Scale Deep Neural Networks for Non-Uniform Single Image Deblurring. - Dongwon Park; Jisoo Kim; Se Young Chun (CoRR, 2019)

NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. - Andreas Lugmayr; Martin Danelljan; Radu Timofte; Namhyuk Ahn; Dongwoon Bai; Jie Cai; Yun Cao; Junyang Chen 001; Kaihua Cheng; Se Young Chun; Wei Deng; Mostafa El-Khamy; et al. (CVPR Workshops, 2020)

Multi-Temporal Recurrent Neural Networks for Progressive Non-uniform Single Image Deblurring with Incremental Temporal Training. - Dongwon Park; Dong Un Kang; Jisoo Kim; Se Young Chun (ECCV (6), 2020)

On Divergence Approximations for Unsupervised Training of Deep Denoisers Based on Stein's Unbiased Risk Estimator. - Shakarim Soltanayev; Raja Giryes; Se Young Chun; Yonina C. Eldar (ICASSP, 2020)

Real-Time, Highly Accurate Robotic Grasp Detection using Fully Convolutional Neural Network with Rotation Ensemble Module. - Dongwon Park; Yonghyeok Seo; Se Young Chun (ICRA, 2020)

A Single Multi-Task Deep Neural Network with Post-Processing for Object Detection with Reasoning and Robotic Grasp Detection. - Dongwon Park; Yonghyeok Seo; Dongju Shin; Jaesik Choi; Se Young Chun (ICRA, 2020)

Preliminary Studies On Training And Fine-Tuning Deep Denoiser Neural Networks In Learned D-Amp For Undersampled Real Mr Measurements. - Hanvit Kim; Dong Un Kang; Se Young Chun (ISBI Workshops, 2020)

Blur More To Deblur Better: Multi-Blur2Deblur For Efficient Video Deblurring. - Dongwon Park; Dong Un Kang; Se Young Chun (CoRR, 2020)

Unsupervised Training of Denoisers for Low-Dose CT Reconstruction Without Full-Dose Ground Truth. - Kwanyoung Kim; Shakarim Soltanayev; Se Young Chun (IEEE J. Sel. Top. Signal Process., 2020)

Algorithms and Analyses for Joint Spectral Image Reconstruction in Y-90 Bremsstrahlung SPECT. - Se Young Chun; Minh Phuong Nguyen; Thanh Quoc Phan; Hanvit Kim; Jeffrey A. Fessler; Yuni K. Dewaraja (IEEE Trans. Medical Imaging, 2020)

Task-Aware Variational Adversarial Active Learning. - Kwanyoung Kim; Dongwon Park; Kwang In Kim; Se Young Chun (CVPR, 2021)

Empirically Accelerating Scaled Gradient Projection Using Deep Neural Network for Inverse Problems in Image Processing. - Byung Hyun Lee; Se Young Chun (ICASSP, 2021)

Rethinking Deep Image Prior for Denoising. - Yeonsik Jo; Se Young Chun; Jonghyun Choi (ICCV, 2021)

Development and operation of a digital platform for sharing pathology image data. - Yunsook Kang; Yoo Jung Kim; Seongkeun Park; Gun Ro; Choyeon Hong; Hyungjoon Jang; Sungduk Cho; Wonjae Hong; Dong Un Kang; Jonghoon Chun; Kyoungbun Lee; Gyeong Hoon Kang; et al. (BMC Medical Informatics Decis. Mak., 2021)

Multi-Scale Curriculum Learning for Efficient Automatic Whole Slide Image Segmentation. - Dong Un Kang; Se Young Chun (BigComp, 2022)

Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Grigory Malivenko; Radu Timofte; Lukasz Treszczotko; Xin Chang; Piotr Ksiazek; Michal Lopuszynski; Maciej Pioro; Rafal Rudnicki; Maciej Smyl; Yujie Ma; Zhenyu Li; et al. (ECCV Workshops (3), 2022)

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Maurizio Denna; Abdel Younes; Ganzorig Gankhuyag; Jingang Huh; Myeong Kyun Kim; Kihwan Yoon; Hyeon-Cheol Moon; Seungho Lee; Yoonsik Choe; Jinwoo Jeong; et al. (ECCV Workshops (3), 2022)

Purecomb: Poisson Unbiased Risk Estimator Based Ensemble of Self-Supervised Deep Denoisers For Clinical Bone Scan Image. - Hanvit Kim; Si Young Yie; Se Young Chun; Jae Sung Lee (ISBI, 2022)

Image Restoration by Deep Projected GSURE. - Shady Abu-Hussein; Tom Tirer; Se Young Chun; Yonina C. Eldar; Raja Giryes (WACV, 2022)

Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging. - Il Yong Chun; Dongwon Park; Xuehang Zheng; Se Young Chun; Yong Long (CoRR, 2022)

Adaptive GLCM sampling for transformer-based COVID-19 detection on CT. - Okchul Jung; Dong Un Kang; Gwanghyun Kim; Se Young Chun (CoRR, 2022)

Coil2Coil: Self-supervised MR image denoising using phased-array coil images. - Juhyung Park; Dongwon Park; Hyeong-Geol Shin; Eun-Jung Choi; Hongjun An; Minjun Kim 005; Dongmyung Shin; Se Young Chun; Jongho Lee 003 (CoRR, 2022)

Physiology-based augmented deep neural network frameworks for ECG biometrics with short ECG pulses considering varying heart rates. - Hanvit Kim; Thanh Quoc Phan; Wonjae Hong; Se Young Chun (Pattern Recognit. Lett., 2022)

Neural Diffeomorphic Non-uniform B-spline Flows. - Seongmin Hong; Se Young Chun (AAAI, 2023)

DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model. - Gwanghyun Kim; Se Young Chun (CVPR, 2023)

All-in-One Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations. - Dongwon Park; Byung Hyun Lee; Se Young Chun (CVPR, 2023)

Domain adaptation from posteroanterior to anteroposterior X-ray radiograph classification via deep neural converter with label recycling. - Dongwon Park; Minjun Kim 005; Hyungjin Kim; Jongho Lee 003; Se Young Chun (ICEIC, 2023)

On the Robustness of Normalizing Flows for Inverse Problems in Imaging. - Seongmin Hong; Inbum Park; Se Young Chun (ICCV, 2023)

PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion. - Gwanghyun Kim; Ji Ha Jang; Se Young Chun (ICCV, 2023)

Online Continual Learning on Hierarchical Label Expansion. - Byung Hyun Lee; Okchul Jung; Jonghyun Choi; Se Young Chun (ICCV, 2023)

Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors. - Haechang Lee 001; Dongwon Park; Wongi Jeong; Kijeong Kim; Hyunwoo Je; Dongil Ryu; Se Young Chun (ICCV, 2023)

DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model. - Hoigi Seo; Hayeon Kim; Gwanghyun Kim; Se Young Chun (CoRR, 2023)

Fully Quantized Always-on Face Detector Considering Mobile Image Sensors. - Haechang Lee 001; Wongi Jeong; Dongil Ryu; Hyunwoo Je; Albert No; Kijeong Kim; Se Young Chun (CoRR, 2023)

On Exact Inversion of DPM-Solvers. - Seongmin Hong; Kyeonghyun Lee; Suh Yoon Jeon; Hyewon Bae; Se Young Chun (CoRR, 2023)

Detailed Human-Centric Text Description-Driven Large Scene Synthesis. - Gwanghyun Kim; Dong Un Kang; Hoigi Seo; Hayeon Kim; Se Young Chun (CoRR, 2023)

Fast and accurate sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization. - Heejun Shin; Taehee Kim; Jongho Lee 003; Se Young Chun; Seungryung Cho; Dongmyung Shin (CoRR, 2023)

Deep Internal Learning: Deep Learning from a Single Input. - Tom Tirer; Raja Giryes; Se Young Chun; Yonina C. Eldar (CoRR, 2023)

PAIP 2020: Microsatellite instability prediction in colorectal cancer. - Kyungmo Kim; Kyoungbun Lee; Sungduk Cho; Dong Un Kang; Seongkeun Park; Yunsook Kang; Hyunjeong Kim; Gheeyoung Choe; Kyung Chul Moon; Kyu Sang Lee; Jeong Hwan Park; Choyeon Hong; et al. (Medical Image Anal., 2023)

Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT. - Hanvit Kim; Zongyu Li; Jiye Son; Jeffrey A. Fessler; Yuni K. Dewaraja; Se Young Chun (IEEE Trans. Medical Imaging, 2023)

Doubly Perturbed Task Free Continual Learning. - Byung Hyun Lee; Min-hwan Oh; Se Young Chun (AAAI, 2024)

BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion. - Gwanghyun Kim; Hayeon Kim; Hoigi Seo; Dong Un Kang; Se Young Chun (CoRR, 2024)

Short-term Object Interaction Anticipation with Disentangled Object Detection @ Ego4D Short Term Object Interaction Anticipation Challenge. - Hyunjin Cho; Dong Un Kang; Se Young Chun (CoRR, 2024)

Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration. - Donwon Park; Hayeon Kim; Se Young Chun (CoRR, 2024)