Byung-Woo Hong

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 45

Top Topics

Image Preprocessing

Adaptive Regularization

Top Venues

J. Electronic Imaging

Publications

Ziyao Zeng, Daniel Wang, Fengyu Yang, Hyoungseob Park, Yangchao Wu, Stefano Soatto, Byung-Woo Hong, Dong Lao, Alex Wong
WorDepth: Variational Language Prior for Monocular Depth Estimation. CoRR (2024)
Sang-Il Han, Kensuke Nakamura, Byung-Woo Hong
Splitting of Composite Neural Networks via Proximal Operator With Information Bottleneck. IEEE Access 12 (2024)
Kensuke Nakamura, Simon Korman, Byung-Woo Hong
Generative adversarial networks via a composite annealing of noise and diffusion. Pattern Recognit. 146 (2024)
Hyun-Tae Choi, Bong-Soo Sohn, Byung-Woo Hong
Unsupervised Image to Image Translation With Additional Mask. IEEE Access 11 (2023)
Da Eun Lee, Kensuke Nakamura, Jaeho Tak, Byung-Woo Hong
A Continual Learning Algorithm Based on Orthogonal Gradient Descent Beyond Neural Tangent Kernel Regime. IEEE Access 11 (2023)
Sihan Wang, Fuping Wu, Lei Li, Zheyao Gao, Byung-Woo Hong, Xiahai Zhuang
Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels. CoRR (2023)
Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong
Monitored Distillation for Positive Congruent Depth Completion. ECCV (2) (2022)
Kensuke Nakamura, Bong-Soo Sohn, Kyoung-Jae Won, Byung-Woo Hong
Regularization in Network Optimization via Trimmed Stochastic Gradient Descent With Noisy Label. IEEE Access 10 (2022)
Tomislav Dobricki, Yoonghee Oh, Haeun Ko, Taeyun Kim, Dongyooung Kim, Byung-Woo Hong
Incremental Learning for Optical Flow. ICTC (2022)
Tomislav Dobricki, Yonghee Oh, Haeun Ko, Taeyun Kim, Dongyoung Kim, Byung-Woo Hong
Comparison of optical flow image preprocessing options for state of the art deep learning models. ICTC (2022)
Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
Stochastic batch size for adaptive regularization in deep network optimization. Pattern Recognit. 129 (2022)
Tomislav Dobricki, Xiahai Zhuang, Kyoung-Jae Won, Byung-Woo Hong
Survey on unsupervised learning methods for optical flow estimation. ICTC (2022)
Sihan Wang, Fuping Wu, Lei Li, Zheyao Gao, Byung-Woo Hong, Xiahai Zhuang
Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels. STACOM@MICCAI (2022)
Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong
Monitored Distillation for Positive Congruent Depth Completion. CoRR (2022)
Dahye Kim, Byung-Woo Hong
Unsupervised Segmentation incorporating Shape Prior via Generative Adversarial Networks. ICCV (2021)
Alex Wong, Xiaohan Fei, Byung-Woo Hong, Stefano Soatto
An Adaptive Framework for Learning Unsupervised Depth Completion. CoRR (2021)
Alex Wong, Allison Chen, Yangchao Wu, Safa Cicek, Alexandre Tiard, Byung-Woo Hong, Stefano Soatto
Small Lesion Segmentation in Brain MRIs with Subpixel Embedding. BrainLes@MICCAI (1) (2021)
Kensuke Nakamura, Simon Korman, Byung-Woo Hong
Stabilization of generative adversarial networks via noisy scale-space. CoRR (2021)
Alex Wong, Xiaohan Fei, Byung-Woo Hong, Stefano Soatto
An Adaptive Framework for Learning Unsupervised Depth Completion. IEEE Robotics Autom. Lett. 6 (2) (2021)
Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
Block-cyclic stochastic coordinate descent for deep neural networks. Neural Networks 139 (2021)
Jaehwan Kim, Bilel Derbel, Byung-Woo Hong
Motion Estimation via Scale-Space in Unsupervised Deep Learning. ICOIN (2021)
Dahye Kim, Byung-Woo Hong
Unsupervised Feature Elimination via Generative Adversarial Networks: Application to Hair Removal in Melanoma Classification. IEEE Access 9 (2021)
Hyun-Tae Choi, Nahyun Lee, Jewon No, Sangil Han, Jaeho Tak, Hwijin Kim, Haegang Lee, Seonghoon Ham, Byung-Woo Hong
Control the Information of the Image with Anisotropic Diffusion and Isotropic Diffusion for the Image Classification. MMBD/MLIS (2021)
Alex Wong, Allison Chen, Yangchao Wu, Safa Cicek, Alexandre Tiard, Byung-Woo Hong, Stefano Soatto
Small Lesion Segmentation in Brain MRIs with Subpixel Embedding. CoRR (2021)
Bilel Derbel, Geoffrey Pruvost, Byung-Woo Hong
Enhancing Moea/d with Escape Mechanisms. CEC (2021)
Yuna Han, Bilel Derbel, Byung-Woo Hong
Convolutional Neural Networks based on Random Kernels in the Frequency Domain. ICOIN (2021)
Byung-Woo Hong, Ja-Keoung Koo, Martin Burger, Stefano Soatto
Adaptive Regularization of Some Inverse Problems in Image Analysis. IEEE Trans. Image Process. 29 (2020)
Kensuke Nakamura, Byung-Woo Hong
Regularization in neural network optimization via trimmed stochastic gradient descent with noisy label. CoRR (2020)
Hyo-Hun Kim, Byung-Woo Hong
Segmentation Neural Network Incorporating Scale-Space in the Application of Cardiac MRI. J. Medical Imaging Health Informatics 10 (7) (2020)
Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
Stochastic batch size for adaptive regularization in deep network optimization. CoRR (2020)
Hyun-Tae Choi, Yuna Han, Dahye Kim, Seonghoon Ham, Minji Kim, Yesol Park, Byung-Woo Hong
Anisotropic Diffusion with Deep Learning. MLIS (2020)
Kensuke Nakamura, Byung-Woo Hong
Adaptive Weight Decay for Deep Neural Networks. CoRR (2019)
Junghee Cho, Junseok Kwon, Byung-Woo Hong
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization. IEEE Access 7 (2019)
Kensuke Nakamura, Byung-Woo Hong
Adaptive Weight Decay for Deep Neural Networks. IEEE Access 7 (2019)
Junghee Cho, Junseok Kwon, Byung-Woo Hong
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization. CoRR (2019)
Alex Wong, Byung-Woo Hong, Stefano Soatto
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction. CoRR (2019)
Naeemullah Khan, Byung-Woo Hong, Anthony J. Yezzi, Ganesh Sundaramoorthi
Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces. CVPR (2017)
Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks. CoRR (2017)
Byung-Woo Hong, Ja-Keoung Koo, Stefano Soatto
Multi-Label Segmentation via Residual-Driven Adaptive Regularization. CoRR (2017)
Byung-Woo Hong, Ja-Keoung Koo, Hendrik Dirks, Martin Burger
Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems. GCPR (2017)
Kensuke Nakamura, Byung-Woo Hong
Hierarchical image segmentation via recursive superpixel with adaptive regularity. J. Electronic Imaging 26 (6) (2017)
Byung-Woo Hong, Ja-Keoung Koo, Martin Burger, Stefano Soatto
Adaptive Regularization of Some Inverse Problems in Image Analysis. CoRR (2017)
Ganesh Sundaramoorthi, Naeemullah Khan, Byung-Woo Hong
Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces. CoRR (2016)
Byung-Woo Hong, Ja-Keoung Koo, Hendrik Dirks, Martin Burger
Adaptive Parameter Balancing for Composite Optimization Problems in Imaging. CoRR (2016)
Kensuke Nakamura, Byung-Woo Hong
Fast-convergence superpixel algorithm via an approximate optimization. J. Electronic Imaging 25 (5) (2016)
Byung-Woo Hong, Stefano Soatto
Shape Matching Using Multiscale Integral Invariants. IEEE Trans. Pattern Anal. Mach. Intell. 37 (1) (2015)
Rassulzhan Poltayev, Byung-Woo Hong
A Rotational Invariant Non-local Mean. PCM (2) (2015)
Ja-Keoung Koo, Hyo-Hun Kim, Byung-Woo Hong
Joint estimation of motion and illumination change in a sequence of images. J. Electronic Imaging 24 (5) (2015)
Ki-Seong Lee, Byung-Woo Hong, Youngmin Kim, Jaeyeop Ahn, Chan-Gun Lee
Split-Jaccard Distance of Hierarchical Decompositions for Software Architecture. IEICE Trans. Inf. Syst. (3) (2015)
Omar Arif, Ganesh Sundaramoorthi, Byung-Woo Hong, Anthony J. Yezzi
Tracking Using Motion Estimation With Physically Motivated Inter-Region Constraints. IEEE Trans. Medical Imaging 33 (9) (2014)
Ganesh Sundaramoorthi, Byung-Woo Hong
FAST LABEL: Easy and Efficient Solution of Joint Multi-label and Estimation Problems. CVPR (2014)
Omar Arif, Ganesh Sundaramoorthi, Byung-Woo Hong, Anthony J. Yezzi
Tracking via Motion Estimation with Physically Motivated Inter-Region Constraints. CoRR (2014)
Jonghye Woo, Piotr J. Slomka, C.-C. Jay Kuo, Byung-Woo Hong
Multiphase segmentation using an implicit dual shape prior: Application to detection of left ventricle in cardiac MRI. Comput. Vis. Image Underst. 117 (9) (2013)
Byung-Woo Hong, Zhaojin Lu, Ganesh Sundaramoorthi
A New Model and Simple Algorithms for Multi-label Mumford-Shah Problems. CVPR (2013)
Jeong-Heon Kim, Bo-Young Park, Farhan Akram, Byung-Woo Hong, Kwang Nam Choi
Multipass Active Contours for an Adaptive Contour Map. Sensors 13 (3) (2013)
Ganesh Sundaramoorthi, Byung-Woo Hong, Anthony J. Yezzi
Motion and deformation estimation from medical imagery by modeling sub-structure interaction and constraints. CompIMAGE (2012)
Byung-Woo Hong, Kangyu Ni, Stefano Soatto
Entropy-Scale Profiles for Texture Segmentation. SSVM (2011)
Byung-Woo Hong, Bong-Soo Sohn
Segmentation of regions of interest in mammograms in a topographic approach. IEEE Trans. Inf. Technol. Biomed. 14 (1) (2010)
Jonghye Woo, Byung-Woo Hong, Amit Ramesh, Guido Germano, C.-C. Jay Kuo, Piotr J. Slomka
Curve evolution with a dual shape similarity and its application to segmentation of left ventricle. Medical Imaging: Image Processing (2009)
Kangyu Ni, Byung-Woo Hong, Stefano Soatto, Tony F. Chan
Unsupervised multiphase segmentation: A recursive approach. Comput. Vis. Image Underst. 113 (4) (2009)
Jonghye Woo, Piotr J. Slomka, Damini Dey, Victor Cheng, Amit Ramesh, Byung-Woo Hong, Daniel S. Berman, C.-C. Jay Kuo, Guido Germano
Automated Multi-Modality Registration of 64-Slice Coronary CT Angiography with Myocardial Perfusion Spect. ISBI (2009)
Byung-Woo Hong, Stefano Soatto, Luminita A. Vese
Enforcing local context into shape statistics. Adv. Comput. Math. 31 (1-3) (2009)
Jonghye Woo, Byung-Woo Hong, Damini Dey, Victor Cheng, Amit Ramesh, Ganesh Sundaramoorthi, C.-C. Jay Kuo, Daniel S. Berman, Guido Germano, Piotr J. Slomka
Feature-based non-rigid volume registration of serial coronary CT angiography. Medical Imaging: Image Processing (2009)
Jonghye Woo, Byung-Woo Hong, Chang-Hong Hu, K. Kirk Shung, C.-C. Jay Kuo, Piotr J. Slomka
Non-Rigid Ultrasound Image Registration Based on Intensity and Local Phase Information. J. Signal Process. Syst. 54 (1-3) (2009)
Sheshadri R. Thiruvenkadam, Tony F. Chan, Byung-Woo Hong
Segmentation under Occlusions Using Selective Shape Prior. SIAM J. Imaging Sci. 1 (1) (2008)
Matthew Mellor, Byung-Woo Hong, Michael Brady
Locally Rotation, Contrast, and Scale Invariant Descriptors for Texture Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 30 (1) (2008)
Byung-Woo Hong, Stefano Soatto, Kangyu Ni, Tony F. Chan
The scale of a texture and its application to segmentation. CVPR (2008)
Sheshadri R. Thiruvenkadam, Tony F. Chan, Byung-Woo Hong
Segmentation Under Occlusions Using Selective Shape Prior. SSVM (2007)
Jonghye Woo, Byung-Woo Hong, Sunil Kumar, Indranill Basu Ray, C.-C. Jay Kuo
Joint Reconstruction and Registration Using Level Sets: Application to the Computer-Aided Ablation of Atrial Fibrillation. FBIT (2007)
Byung-Woo Hong, Emmanuel Prados, Stefano Soatto, Luminita A. Vese
Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation. CVPR (1) (2006)
Siddharth Manay, Daniel Cremers, Byung-Woo Hong, Anthony J. Yezzi, Stefano Soatto
Integral Invariants for Shape Matching. IEEE Trans. Pattern Anal. Mach. Intell. 28 (10) (2006)
Byung-Woo Hong, Michael Brady
Structural Comparison of Mammograms. BMVC (2005)
Siddharth Manay, Byung-Woo Hong, Anthony J. Yezzi, Stefano Soatto
Integral Invariant Signatures. ECCV (4) (2004)
Byung-Woo Hong, Michael Brady
A Topographic Representation for Mammogram Segmentation. MICCAI (2) (2003)