Byung-Woo Hong

84 papers A* 6A 1B 3C 1Journal 52Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Decoupled Latent Diffusion Model for Enhancing Image Generation. IEEE Access Hyun-Tae Choi, Kensuke Nakamura, Byung-Woo Hong
2025	J	`jnl`	Diffusion Models With Implicit Conditions Driven by Latent Shifts. IEEE Access Da Eun Lee, Kensuke Nakamura, Byung-Woo Hong
2025	J	`jnl`	ETA: Energy-based Test-time Adaptation for Depth Completion. CoRR Younjoon Chung, Hyoungseob Park, Patrick Rim, Xiaoran Zhang, Jihe He, Ziyao Zeng, Safa Cicek, Byung-Woo Hong, James S. Duncan, Alex Wong
2025	C	`conf`	Inpainting the Degraded Area with Diffusion Model. ICCE Hyun-Tae Choi, Byung-Woo Hong
2025	J	`jnl`	Progressive Test Time Energy Adaptation for Medical Image Segmentation. CoRR Xiaoran Zhang, Byung-Woo Hong, Hyoungseob Park, Daniel H. Pak, Anne-Marie Rickmann, Lawrence H. Staib, James S. Duncan, Alex Wong
2025	J	`jnl`	Regularization for Unconditional Image Diffusion Models via Shifted Data Augmentation. IEEE Access Kensuke Nakamura, Bong-Soo Sohn, Simon Korman, Byung-Woo Hong
2024	J	`jnl`	Generative adversarial networks via a composite annealing of noise and diffusion. Pattern Recognit. Kensuke Nakamura, Simon Korman, Byung-Woo Hong
2024	J	`jnl`	PriorDiffusion: Leverage Language Prior in Diffusion Models for Monocular Depth Estimation. CoRR Ziyao Zeng, Jingcheng Ni, Daniel Wang, Patrick Rim, Younjoon Chung, Fengyu Yang, Byung-Woo Hong, Alex Wong
2024	A*	`conf`	RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions. NeurIPS Ziyao Zeng, Yangchao Wu, Hyoungseob Park, Daniel Wang, Fengyu Yang, Stefano Soatto, Dong Lao, Byung-Woo Hong, Alex Wong
2024	J	`jnl`	RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions. CoRR Ziyao Zeng, Yangchao Wu, Hyoungseob Park, Daniel Wang, Fengyu Yang, Stefano Soatto, Dong Lao, Byung-Woo Hong, Alex Wong
2024	J	`jnl`	Splitting of Composite Neural Networks via Proximal Operator With Information Bottleneck. IEEE Access Sang-Il Han, Kensuke Nakamura, Byung-Woo Hong
2024	J	`jnl`	WorDepth: Variational Language Prior for Monocular Depth Estimation. CoRR Ziyao Zeng, Daniel Wang, Fengyu Yang, Hyoungseob Park, Yangchao Wu, Stefano Soatto, Byung-Woo Hong, Dong Lao, Alex Wong
2023	J	`jnl`	A Continual Learning Algorithm Based on Orthogonal Gradient Descent Beyond Neural Tangent Kernel Regime. IEEE Access Da Eun Lee, Kensuke Nakamura, Jaeho Tak, Byung-Woo Hong
2023	J	`jnl`	Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels. CoRR Sihan Wang, Fuping Wu, Lei Li, Zheyao Gao, Byung-Woo Hong, Xiahai Zhuang
2023	J	`jnl`	Unsupervised Image to Image Translation With Additional Mask. IEEE Access Hyun-Tae Choi, Bong-Soo Sohn, Byung-Woo Hong
2022	—	`conf`	Comparison of optical flow image preprocessing options for state of the art deep learning models. ICTC Tomislav Dobricki, Yonghee Oh, Haeun Ko, Taeyun Kim, Dongyoung Kim, Byung-Woo Hong
2022	—	`conf`	Incremental Learning for Optical Flow. ICTC Tomislav Dobricki, Yoonghee Oh, Haeun Ko, Taeyun Kim, Dongyooung Kim, Byung-Woo Hong
2022	—	`conf`	Monitored Distillation for Positive Congruent Depth Completion. ECCV (2) Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong
2022	J	`jnl`	Monitored Distillation for Positive Congruent Depth Completion. CoRR Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong
2022	J	`jnl`	Regularization in Network Optimization via Trimmed Stochastic Gradient Descent With Noisy Label. IEEE Access Kensuke Nakamura, Bong-Soo Sohn, Kyoung-Jae Won, Byung-Woo Hong
2022	J	`jnl`	Stochastic batch size for adaptive regularization in deep network optimization. Pattern Recognit. Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
2022	—	`conf`	Survey on unsupervised learning methods for optical flow estimation. ICTC Tomislav Dobricki, Xiahai Zhuang, Kyoung-Jae Won, Byung-Woo Hong
2022	—	`conf`	Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels. STACOM@MICCAI Sihan Wang, Fuping Wu, Lei Li, Zheyao Gao, Byung-Woo Hong, Xiahai Zhuang
2021	J	`jnl`	An Adaptive Framework for Learning Unsupervised Depth Completion. CoRR Alex Wong, Xiaohan Fei, Byung-Woo Hong, Stefano Soatto
2021	J	`jnl`	An Adaptive Framework for Learning Unsupervised Depth Completion. IEEE Robotics Autom. Lett. Alex Wong, Xiaohan Fei, Byung-Woo Hong, Stefano Soatto
2021	J	`jnl`	Block-cyclic stochastic coordinate descent for deep neural networks. Neural Networks Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
2021	—	`conf`	Control the Information of the Image with Anisotropic Diffusion and Isotropic Diffusion for the Image Classification. MMBD/MLIS Hyun-Tae Choi, Nahyun Lee, Jewon No, Sangil Han, Jaeho Tak, Hwijin Kim, Haegang Lee, Seonghoon Ham, Byung-Woo Hong
2021	—	`conf`	Convolutional Neural Networks based on Random Kernels in the Frequency Domain. ICOIN Yuna Han, Bilel Derbel, Byung-Woo Hong
2021	B	`conf`	Enhancing Moea/d with Escape Mechanisms. CEC Bilel Derbel, Geoffrey Pruvost, Byung-Woo Hong
2021	—	`conf`	Motion Estimation via Scale-Space in Unsupervised Deep Learning. ICOIN Jaehwan Kim, Bilel Derbel, Byung-Woo Hong
2021	—	`conf`	Small Lesion Segmentation in Brain MRIs with Subpixel Embedding. BrainLes@MICCAI (1) Alex Wong, Allison Chen, Yangchao Wu, Safa Cicek, Alexandre Tiard, Byung-Woo Hong, Stefano Soatto
2021	J	`jnl`	Small Lesion Segmentation in Brain MRIs with Subpixel Embedding. CoRR Alex Wong, Allison Chen, Yangchao Wu, Safa Cicek, Alexandre Tiard, Byung-Woo Hong, Stefano Soatto
2021	J	`jnl`	Stabilization of generative adversarial networks via noisy scale-space. CoRR Kensuke Nakamura, Simon Korman, Byung-Woo Hong
2021	J	`jnl`	Unsupervised Feature Elimination via Generative Adversarial Networks: Application to Hair Removal in Melanoma Classification. IEEE Access Dahye Kim, Byung-Woo Hong
2021	A*	`conf`	Unsupervised Segmentation incorporating Shape Prior via Generative Adversarial Networks. ICCV Dahye Kim, Byung-Woo Hong
2020	J	`jnl`	Adaptive Regularization of Some Inverse Problems in Image Analysis. IEEE Trans. Image Process. Byung-Woo Hong, Ja-Keoung Koo, Martin Burger, Stefano Soatto
2020	—	`conf`	Anisotropic Diffusion with Deep Learning. MLIS Hyun-Tae Choi, Yuna Han, Dahye Kim, Seonghoon Ham, Minji Kim, Yesol Park, Byung-Woo Hong
2020	J	`jnl`	Regularization in neural network optimization via trimmed stochastic gradient descent with noisy label. CoRR Kensuke Nakamura, Byung-Woo Hong
2020	J	`jnl`	Segmentation Neural Network Incorporating Scale-Space in the Application of Cardiac MRI. J. Medical Imaging Health Informatics Hyo-Hun Kim, Byung-Woo Hong
2020	J	`jnl`	Stochastic batch size for adaptive regularization in deep network optimization. CoRR Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
2019	J	`jnl`	Adaptive Regularization via Residual Smoothing in Deep Learning Optimization. IEEE Access Junghee Cho, Junseok Kwon, Byung-Woo Hong
2019	J	`jnl`	Adaptive Regularization via Residual Smoothing in Deep Learning Optimization. CoRR Junghee Cho, Junseok Kwon, Byung-Woo Hong
2019	J	`jnl`	Adaptive Weight Decay for Deep Neural Networks. IEEE Access Kensuke Nakamura, Byung-Woo Hong
2019	J	`jnl`	Adaptive Weight Decay for Deep Neural Networks. CoRR Kensuke Nakamura, Byung-Woo Hong
2019	J	`jnl`	Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction. CoRR Alex Wong, Byung-Woo Hong, Stefano Soatto
2017	—	`conf`	Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems. GCPR Byung-Woo Hong, Ja-Keoung Koo, Hendrik Dirks, Martin Burger
2017	J	`jnl`	Adaptive Regularization of Some Inverse Problems in Image Analysis. CoRR Byung-Woo Hong, Ja-Keoung Koo, Martin Burger, Stefano Soatto
2017	J	`jnl`	Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks. CoRR Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
2017	A*	`conf`	Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces. CVPR Naeemullah Khan, Byung-Woo Hong, Anthony J. Yezzi, Ganesh Sundaramoorthi
2017	J	`jnl`	Hierarchical image segmentation via recursive superpixel with adaptive regularity. J. Electronic Imaging Kensuke Nakamura, Byung-Woo Hong
2017	J	`jnl`	Multi-Label Segmentation via Residual-Driven Adaptive Regularization. CoRR Byung-Woo Hong, Ja-Keoung Koo, Stefano Soatto
2016	J	`jnl`	Adaptive Parameter Balancing for Composite Optimization Problems in Imaging. CoRR Byung-Woo Hong, Ja-Keoung Koo, Hendrik Dirks, Martin Burger
2016	J	`jnl`	Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces. CoRR Ganesh Sundaramoorthi, Naeemullah Khan, Byung-Woo Hong
2016	J	`jnl`	Fast-convergence superpixel algorithm via an approximate optimization. J. Electronic Imaging Kensuke Nakamura, Byung-Woo Hong
2015	—	`conf`	A Rotational Invariant Non-local Mean. PCM (2) Rassulzhan Poltayev, Byung-Woo Hong
2015	J	`jnl`	Joint estimation of motion and illumination change in a sequence of images. J. Electronic Imaging Ja-Keoung Koo, Hyo-Hun Kim, Byung-Woo Hong
2015	J	`jnl`	Shape Matching Using Multiscale Integral Invariants. IEEE Trans. Pattern Anal. Mach. Intell. Byung-Woo Hong, Stefano Soatto
2015	J	`jnl`	Split-Jaccard Distance of Hierarchical Decompositions for Software Architecture. IEICE Trans. Inf. Syst. Ki-Seong Lee, Byung-Woo Hong, Youngmin Kim, Jaeyeop Ahn, Chan-Gun Lee
2014	A*	`conf`	FAST LABEL: Easy and Efficient Solution of Joint Multi-label and Estimation Problems. CVPR Ganesh Sundaramoorthi, Byung-Woo Hong
2014	J	`jnl`	Tracking Using Motion Estimation With Physically Motivated Inter-Region Constraints. IEEE Trans. Medical Imaging Omar Arif, Ganesh Sundaramoorthi, Byung-Woo Hong, Anthony J. Yezzi
2014	J	`jnl`	Tracking via Motion Estimation with Physically Motivated Inter-Region Constraints. CoRR Omar Arif, Ganesh Sundaramoorthi, Byung-Woo Hong, Anthony J. Yezzi
2013	A*	`conf`	A New Model and Simple Algorithms for Multi-label Mumford-Shah Problems. CVPR Byung-Woo Hong, Zhaojin Lu, Ganesh Sundaramoorthi
2013	J	`jnl`	Multipass Active Contours for an Adaptive Contour Map. Sensors Jeong-Heon Kim, Bo-Young Park, Farhan Akram, Byung-Woo Hong, Kwang Nam Choi
2013	J	`jnl`	Multiphase segmentation using an implicit dual shape prior: Application to detection of left ventricle in cardiac MRI. Comput. Vis. Image Underst. Jonghye Woo, Piotr J. Slomka, C.-C. Jay Kuo, Byung-Woo Hong
2012	—	`conf`	Motion and deformation estimation from medical imagery by modeling sub-structure interaction and constraints. CompIMAGE Ganesh Sundaramoorthi, Byung-Woo Hong, Anthony J. Yezzi
2011	—	`conf`	Entropy-Scale Profiles for Texture Segmentation. SSVM Byung-Woo Hong, Kangyu Ni, Stefano Soatto
2010	J	`jnl`	Segmentation of regions of interest in mammograms in a topographic approach. IEEE Trans. Inf. Technol. Biomed. Byung-Woo Hong, Bong-Soo Sohn
2009	—	`conf`	Automated Multi-Modality Registration of 64-Slice Coronary CT Angiography with Myocardial Perfusion Spect. ISBI Jonghye Woo, Piotr J. Slomka, Damini Dey, Victor Cheng, Amit Ramesh, Byung-Woo Hong, Daniel S. Berman, C.-C. Jay Kuo, Guido Germano
2009	B	`conf`	Curve evolution with a dual shape similarity and its application to segmentation of left ventricle. Image Processing Jonghye Woo, Byung-Woo Hong, Amit Ramesh, Guido Germano, C.-C. Jay Kuo, Piotr J. Slomka
2009	J	`jnl`	Enforcing local context into shape statistics. Adv. Comput. Math. Byung-Woo Hong, Stefano Soatto, Luminita A. Vese
2009	B	`conf`	Feature-based non-rigid volume registration of serial coronary CT angiography. Image Processing 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
2009	J	`jnl`	Non-Rigid Ultrasound Image Registration Based on Intensity and Local Phase Information. J. Signal Process. Syst. Jonghye Woo, Byung-Woo Hong, Chang-Hong Hu, K. Kirk Shung, C.-C. Jay Kuo, Piotr J. Slomka
2009	J	`jnl`	Unsupervised multiphase segmentation: A recursive approach. Comput. Vis. Image Underst. Kangyu Ni, Byung-Woo Hong, Stefano Soatto, Tony F. Chan
2008	J	`jnl`	Locally Rotation, Contrast, and Scale Invariant Descriptors for Texture Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Matthew Mellor, Byung-Woo Hong, Michael Brady
2008	J	`jnl`	Segmentation under Occlusions Using Selective Shape Prior. SIAM J. Imaging Sci. Sheshadri R. Thiruvenkadam, Tony F. Chan, Byung-Woo Hong
2008	A*	`conf`	The scale of a texture and its application to segmentation. CVPR Byung-Woo Hong, Stefano Soatto, Kangyu Ni, Tony F. Chan
2007	—	`conf`	Joint Reconstruction and Registration Using Level Sets: Application to the Computer-Aided Ablation of Atrial Fibrillation. FBIT Jonghye Woo, Byung-Woo Hong, Sunil Kumar, Indranill Basu Ray, C.-C. Jay Kuo
2007	—	`conf`	Segmentation Under Occlusions Using Selective Shape Prior. SSVM Sheshadri R. Thiruvenkadam, Tony F. Chan, Byung-Woo Hong
2006	—	`ch.`	Integral Invariants and Shape Matching. Statistics and Analysis of Shapes Siddharth Manay, Daniel Cremers, Byung-Woo Hong, Anthony J. Yezzi, Stefano Soatto
2006	J	`jnl`	Integral Invariants for Shape Matching. IEEE Trans. Pattern Anal. Mach. Intell. Siddharth Manay, Daniel Cremers, Byung-Woo Hong, Anthony J. Yezzi, Stefano Soatto
2006	—	`conf`	Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation. CVPR (1) Byung-Woo Hong, Emmanuel Prados, Stefano Soatto, Luminita A. Vese
2005	A	`conf`	Structural Comparison of Mammograms. BMVC Byung-Woo Hong, Michael Brady
2004	—	`conf`	Integral Invariant Signatures. ECCV (4) Siddharth Manay, Byung-Woo Hong, Anthony J. Yezzi, Stefano Soatto
2003	—	`conf`	A Topographic Representation for Mammogram Segmentation. MICCAI (2) Byung-Woo Hong, Michael Brady