Byung-Woo Hong
Cited by
Cited by
Integral invariants for shape matching
S Manay, D Cremers, BW Hong, AJ Yezzi, S Soatto
IEEE Transactions on pattern analysis and machine intelligence 28 (10), 1602 …, 2006
Integral invariant signatures
S Manay, BW Hong, AJ Yezzi, S Soatto
Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004
Segmentation of regions of interest in mammograms in a topographic approach
BW Hong, BS Sohn
IEEE Transactions on Information Technology in Biomedicine 14 (1), 129-139, 2009
Locally rotation, contrast, and scale invariant descriptors for texture analysis
M Mellor, BW Hong, M Brady
IEEE Transactions on pattern analysis and machine intelligence 30 (1), 52-61, 2007
Bilateral cyclic constraint and adaptive regularization for unsupervised monocular depth prediction
A Wong, S Soatto
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Shape matching using multiscale integral invariants
BW Hong, S Soatto
IEEE transactions on pattern analysis and machine intelligence 37 (1), 151-160, 2014
A topographic representation for mammogram segmentation
BW Hong, M Brady
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2003: 6th …, 2003
Adaptive weight decay for deep neural networks
K Nakamura, BW Hong
IEEE Access 7, 118857-118865, 2019
Non-rigid ultrasound image registration based on intensity and local phase information
J Woo, BW Hong, CH Hu, KK Shung, CCJ Kuo, PJ Slomka
Journal of Signal Processing Systems 54, 33-43, 2009
Shape representation based on integral kernels: Application to image matching and segmentation
BW Hong, E Prados, S Soatto, L Vese
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
Multiphase segmentation using an implicit dual shape prior: Application to detection of left ventricle in cardiac MRI
J Woo, PJ Slomka, CCJ Kuo, BW Hong
Computer vision and image understanding 117 (9), 1084-1094, 2013
The scale of a texture and its application to segmentation
BW Hong, S Soatto, K Ni, T Chan
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
Learning-rate annealing methods for deep neural networks
K Nakamura, B Derbel, KJ Won, BW Hong
Electronics 10 (16), 2029, 2021
An adaptive framework for learning unsupervised depth completion
A Wong, X Fei, BW Hong, S Soatto
IEEE Robotics and Automation Letters 6 (2), 3120-3127, 2021
Geometric feature‐based multimodal image registration of contrast‐enhanced cardiac CT with gated myocardial perfusion SPECT
J Woo, PJ Slomka, D Dey, VY Cheng, BW Hong, A Ramesh, DS Berman, ...
Medical physics 36 (12), 5467-5479, 2009
Segmentation under occlusions using selective shape prior
SR Thiruvenkadam, TF Chan, BW Hong
International Conference on Scale Space and Variational Methods in Computer …, 2007
Monitored distillation for positive congruent depth completion
TY Liu, P Agrawal, A Chen, BW Hong, A Wong
European Conference on Computer Vision, 35-53, 2022
Deep learning based on fourier convolutional neural network incorporating random kernels
Y Han, BW Hong
Electronics 10 (16), 2004, 2021
Unsupervised feature elimination via generative adversarial networks: application to hair removal in melanoma classification
D Kim, BW Hong
IEEE Access 9, 42610-42620, 2021
Segmentation of mammograms in topographic approach
BW Hong, M Brady
IET Digital Library, 2003
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