Se Young Chun

Orcid: 0000-0001-8739-8960

According to our database1, Se Young Chun authored at least 88 papers between 2008 and 2024.

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Bibliography

2024
Deep Internal Learning: Deep learning from a single input.
IEEE Signal Process. Mag., July, 2024

Gradient-free Decoder Inversion in Latent Diffusion Models.
CoRR, 2024

Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing.
CoRR, 2024

MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning.
CoRR, 2024

Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration.
CoRR, 2024

Short-term Object Interaction Anticipation with Disentangled Object Detection @ Ego4D Short Term Object Interaction Anticipation Challenge.
CoRR, 2024

Contribution-Based Low-Rank Adaptation with Pre-training Model for Real Image Restoration.
Proceedings of the Computer Vision - ECCV 2024, 2024

UL-VIO: Ultra-Lightweight Visual-Inertial Odometry with Noise Robust Test-Time Adaptation.
Proceedings of the Computer Vision - ECCV 2024, 2024

BeyondScene: Higher-Resolution Human-Centric Scene Generation with Pretrained Diffusion.
Proceedings of the Computer Vision - ECCV 2024, 2024

INTRA: Interaction Relationship-Aware Weakly Supervised Affordance Grounding.
Proceedings of the Computer Vision - ECCV 2024, 2024

Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing.
Proceedings of the Computer Vision - ECCV 2024, 2024

On Exact Inversion of DPM-Solvers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Doubly Perturbed Task Free Continual Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT.
IEEE Trans. Medical Imaging, October, 2023

PAIP 2020: Microsatellite instability prediction in colorectal cancer.
Medical Image Anal., October, 2023

Fast and accurate sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization.
CoRR, 2023

Detailed Human-Centric Text Description-Driven Large Scene Synthesis.
CoRR, 2023

Fully Quantized Always-on Face Detector Considering Mobile Image Sensors.
CoRR, 2023

DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model.
CoRR, 2023

Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Online Continual Learning on Hierarchical Label Expansion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

On the Robustness of Normalizing Flows for Inverse Problems in Imaging.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Domain adaptation from posteroanterior to anteroposterior X-ray radiograph classification via deep neural converter with label recycling.
Proceedings of the International Conference on Electronics, Information, and Communication, 2023

All-in-One Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Neural Diffeomorphic Non-uniform B-spline Flows.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Physiology-based augmented deep neural network frameworks for ECG biometrics with short ECG pulses considering varying heart rates.
Pattern Recognit. Lett., 2022

Coil2Coil: Self-supervised MR image denoising using phased-array coil images.
CoRR, 2022

Adaptive GLCM sampling for transformer-based COVID-19 detection on CT.
CoRR, 2022

Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging.
CoRR, 2022

Image Restoration by Deep Projected GSURE.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Purecomb: Poisson Unbiased Risk Estimator Based Ensemble of Self-Supervised Deep Denoisers For Clinical Bone Scan Image.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022



Multi-Scale Curriculum Learning for Efficient Automatic Whole Slide Image Segmentation.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

2021
Development and operation of a digital platform for sharing pathology image data.
BMC Medical Informatics Decis. Mak., 2021

Rethinking Deep Image Prior for Denoising.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Empirically Accelerating Scaled Gradient Projection Using Deep Neural Network for Inverse Problems in Image Processing.
Proceedings of the IEEE International Conference on Acoustics, 2021

Task-Aware Variational Adversarial Active Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Algorithms and Analyses for Joint Spectral Image Reconstruction in Y-90 Bremsstrahlung SPECT.
IEEE Trans. Medical Imaging, 2020

Unsupervised Training of Denoisers for Low-Dose CT Reconstruction Without Full-Dose Ground Truth.
IEEE J. Sel. Top. Signal Process., 2020

Blur More To Deblur Better: Multi-Blur2Deblur For Efficient Video Deblurring.
CoRR, 2020

Preliminary Studies On Training And Fine-Tuning Deep Denoiser Neural Networks In Learned D-Amp For Undersampled Real Mr Measurements.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

A Single Multi-Task Deep Neural Network with Post-Processing for Object Detection with Reasoning and Robotic Grasp Detection.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Real-Time, Highly Accurate Robotic Grasp Detection using Fully Convolutional Neural Network with Rotation Ensemble Module.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

On Divergence Approximations for Unsupervised Training of Deep Denoisers Based on Stein's Unbiased Risk Estimator.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Multi-Temporal Recurrent Neural Networks for Progressive Non-uniform Single Image Deblurring with Incremental Temporal Training.
Proceedings of the Computer Vision - ECCV 2020, 2020


2019
Down-Scaling with Learned Kernels in Multi-Scale Deep Neural Networks for Non-Uniform Single Image Deblurring.
CoRR, 2019

Theoretical analysis on Noise2Noise using Stein's Unbiased Risk Estimator for Gaussian denoising: Towards unsupervised training with clipped noisy images.
CoRR, 2019

Speeding up scaled gradient projection methods using deep neural networks for inverse problems in image processing.
CoRR, 2019

Cancelable ECG Biometrics Using Compressive Sensing-Generalized Likelihood Ratio Test.
IEEE Access, 2019

Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019







2018
A Wearable Wrist Band-Type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram Sensors.
Sensors, 2018

Specific visualization of neuromelanin-iron complex and ferric iron in the human post-mortem substantia nigra using MR relaxometry at 7T.
NeuroImage, 2018

Rotation Ensemble Module for Detecting Rotation-Invariant Features.
CoRR, 2018

SREdgeNet: Edge Enhanced Single Image Super Resolution using Dense Edge Detection Network and Feature Merge Network.
CoRR, 2018

Simultaneous compressive image recovery and deep denoiser learning from undersampled measurements.
CoRR, 2018

Classification based Grasp Detection using Spatial Transformer Network.
CoRR, 2018

TVWS assisted performance anomaly mitigation exploiting spectrum heterogeneity.
Comput. Networks, 2018

Training deep learning based denoisers without ground truth data.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Efficient Module Based Single Image Super Resolution for Multiple Problems.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Bounded Self-Weights Estimation Method for Non-Local Means Image Denoising Using Minimax Estimators.
IEEE Trans. Image Process., 2017

Cancelable ECG biometrics using GLRT and performance improvement using guided filter with irreversible guide signal.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
ECG based user authentication for wearable devices using short time Fourier transform.
Proceedings of the 39th International Conference on Telecommunications and Signal Processing, 2016

Center pixel weight estimation for non-local means filtering using local James-Stein estimator with bounded self-weights.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Joint estimation of activity distribution and attenuation map for TOF-PET using alternating direction method of multiplier.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Small scale single pulse ECG-based authentication using GLRT that considers T wave shift and adaptive template update with prior information.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Single pulse ECG-based small scale user authentication using guided filtering.
Proceedings of the International Conference on Biometrics, 2016

2015
Wi-Fi and super Wi-Fi co-location for exploiting spectrum heterogeneity.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2015

2014
Alternating Direction Method of Multiplier for Tomography With Nonlocal Regularizers.
IEEE Trans. Medical Imaging, 2014

2013
Correction for Collimator-Detector Response in SPECT Using Point Spread Function Template.
IEEE Trans. Medical Imaging, 2013

Noise Properties of Motion-Compensated Tomographic Image Reconstruction Methods.
IEEE Trans. Medical Imaging, 2013

2012
Spatial Resolution Properties of Motion-Compensated Tomographic Image Reconstruction Methods.
IEEE Trans. Medical Imaging, 2012

2011
Regularization design for isotropic spatial resolution in motion-compensated image reconstruction.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Sufficient condition for local invertibility of spatio-temporal 4D B-spline deformations.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
A Simple Regularizer for B-spline Nonrigid Image Registration That Encourages Local Invertibility.
IEEE J. Sel. Top. Signal Process., 2009

A simple penalty that encourages local invertibility and considers sliding effects for respiratory motion.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Spatial Resolution and Noise Properties of Regularized Motion-Compensated Image Reconstruction.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Regularized methods for topology-preserving smooth nonrigid image registration using B-spline basis.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008


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