Byung-Woo Hong

Orcid: 0000-0003-2752-3939

According to our database1, Byung-Woo Hong authored at least 66 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Generative adversarial networks via a composite annealing of noise and diffusion.
Pattern Recognit., February, 2024

RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions.
CoRR, 2024

WorDepth: Variational Language Prior for Monocular Depth Estimation.
CoRR, 2024

Splitting of Composite Neural Networks via Proximal Operator With Information Bottleneck.
IEEE Access, 2024

2023
A Continual Learning Algorithm Based on Orthogonal Gradient Descent Beyond Neural Tangent Kernel Regime.
IEEE Access, 2023

Unsupervised Image to Image Translation With Additional Mask.
IEEE Access, 2023

2022
Stochastic batch size for adaptive regularization in deep network optimization.
Pattern Recognit., 2022

Regularization in Network Optimization via Trimmed Stochastic Gradient Descent With Noisy Label.
IEEE Access, 2022

Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Survey on unsupervised learning methods for optical flow estimation.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Incremental Learning for Optical Flow.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Comparison of optical flow image preprocessing options for state of the art deep learning models.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Monitored Distillation for Positive Congruent Depth Completion.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
An Adaptive Framework for Learning Unsupervised Depth Completion.
IEEE Robotics Autom. Lett., 2021

Block-cyclic stochastic coordinate descent for deep neural networks.
Neural Networks, 2021

Stabilization of generative adversarial networks via noisy scale-space.
CoRR, 2021

Unsupervised Feature Elimination via Generative Adversarial Networks: Application to Hair Removal in Melanoma Classification.
IEEE Access, 2021

Control the Information of the Image with Anisotropic Diffusion and Isotropic Diffusion for the Image Classification.
Proceedings of the Modern Management based on Big Data II and Machine Learning and Intelligent Systems III, 2021

Motion Estimation via Scale-Space in Unsupervised Deep Learning.
Proceedings of the International Conference on Information Networking, 2021

Convolutional Neural Networks based on Random Kernels in the Frequency Domain.
Proceedings of the International Conference on Information Networking, 2021

Unsupervised Segmentation incorporating Shape Prior via Generative Adversarial Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Enhancing Moea/d with Escape Mechanisms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Small Lesion Segmentation in Brain MRIs with Subpixel Embedding.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Adaptive Regularization of Some Inverse Problems in Image Analysis.
IEEE Trans. Image Process., 2020

Segmentation Neural Network Incorporating Scale-Space in the Application of Cardiac MRI.
J. Medical Imaging Health Informatics, 2020

Regularization in neural network optimization via trimmed stochastic gradient descent with noisy label.
CoRR, 2020

Anisotropic Diffusion with Deep Learning.
Proceedings of the Machine Learning and Artificial Intelligence, 2020

2019
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction.
CoRR, 2019

Adaptive Weight Decay for Deep Neural Networks.
IEEE Access, 2019

Adaptive Regularization via Residual Smoothing in Deep Learning Optimization.
IEEE Access, 2019

2017
Hierarchical image segmentation via recursive superpixel with adaptive regularity.
J. Electronic Imaging, 2017

Multi-Label Segmentation via Residual-Driven Adaptive Regularization.
CoRR, 2017

Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Fast-convergence superpixel algorithm via an approximate optimization.
J. Electronic Imaging, 2016

Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces.
CoRR, 2016

Adaptive Parameter Balancing for Composite Optimization Problems in Imaging.
CoRR, 2016

2015
Shape Matching Using Multiscale Integral Invariants.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Joint estimation of motion and illumination change in a sequence of images.
J. Electronic Imaging, 2015

Split-Jaccard Distance of Hierarchical Decompositions for Software Architecture.
IEICE Trans. Inf. Syst., 2015

A Rotational Invariant Non-local Mean.
Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

2014
Tracking Using Motion Estimation With Physically Motivated Inter-Region Constraints.
IEEE Trans. Medical Imaging, 2014

Tracking via Motion Estimation with Physically Motivated Inter-Region Constraints.
CoRR, 2014

FAST LABEL: Easy and Efficient Solution of Joint Multi-label and Estimation Problems.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Multipass Active Contours for an Adaptive Contour Map.
Sensors, 2013

Multiphase segmentation using an implicit dual shape prior: Application to detection of left ventricle in cardiac MRI.
Comput. Vis. Image Underst., 2013

A New Model and Simple Algorithms for Multi-label Mumford-Shah Problems.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Motion and deformation estimation from medical imagery by modeling sub-structure interaction and constraints.
Proceedings of the Computational Modelling of Objects Represented in Images, 2012

2011
Entropy-Scale Profiles for Texture Segmentation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

2010
Segmentation of regions of interest in mammograms in a topographic approach.
IEEE Trans. Inf. Technol. Biomed., 2010

2009
Non-Rigid Ultrasound Image Registration Based on Intensity and Local Phase Information.
J. Signal Process. Syst., 2009

Unsupervised multiphase segmentation: A recursive approach.
Comput. Vis. Image Underst., 2009

Enforcing local context into shape statistics.
Adv. Comput. Math., 2009

Curve evolution with a dual shape similarity and its application to segmentation of left ventricle.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Feature-based non-rigid volume registration of serial coronary CT angiography.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Automated Multi-Modality Registration of 64-Slice Coronary CT Angiography with Myocardial Perfusion Spect.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Segmentation under Occlusions Using Selective Shape Prior.
SIAM J. Imaging Sci., 2008

Locally Rotation, Contrast, and Scale Invariant Descriptors for Texture Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

The scale of a texture and its application to segmentation.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Joint Reconstruction and Registration Using Level Sets: Application to the Computer-Aided Ablation of Atrial Fibrillation.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007

2006
Integral Invariants for Shape Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Integral Invariants and Shape Matching.
Proceedings of the Statistics and Analysis of Shapes, 2006

2005
Structural Comparison of Mammograms.
Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005

2004
Integral Invariant Signatures.
Proceedings of the Computer Vision, 2004

2003
A Topographic Representation for Mammogram Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003


  Loading...