| 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 | 340 | 2006 |
| Integral invariant signatures S Manay, BW Hong, AJ Yezzi, S Soatto Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004 | 169 | 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 | 108 | 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 | 99 | 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 | 87 | 2019 |
| Shape matching using multiscale integral invariants BW Hong, S Soatto IEEE transactions on pattern analysis and machine intelligence 37 (1), 151-160, 2014 | 78 | 2014 |
| A topographic representation for mammogram segmentation BW Hong, M Brady Medical Image Computing and Computer-Assisted Intervention-MICCAI 2003: 6th …, 2003 | 73 | 2003 |
| 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 | 49 | 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 | 49 | 2006 |
| Adaptive weight decay for deep neural networks K Nakamura, BW Hong IEEE Access 7, 118857-118865, 2019 | 48 | 2019 |
| 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 | 40 | 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 | 40 | 2008 |
| 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 | 33 | 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 | 33 | 2009 |
| Learning-rate annealing methods for deep neural networks K Nakamura, B Derbel, KJ Won, BW Hong Electronics 10 (16), 2029, 2021 | 29 | 2021 |
| Segmentation under occlusions using selective shape prior SR Thiruvenkadam, TF Chan, BW Hong International Conference on Scale Space and Variational Methods in Computer …, 2007 | 29 | 2007 |
| Deep learning based on fourier convolutional neural network incorporating random kernels Y Han, BW Hong Electronics 10 (16), 2004, 2021 | 26 | 2021 |
| 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 | 25 | 2022 |
| Segmentation of mammograms in topographic approach BW Hong, M Brady IET Digital Library, 2003 | 22 | 2003 |
| Unsupervised feature elimination via generative adversarial networks: application to hair removal in melanoma classification D Kim, BW Hong IEEE Access 9, 42610-42620, 2021 | 21 | 2021 |
Stefano SoattoProfessor of Computer Science, UCLA; Vice President, AWS AI確認したメール アドレス: ucla.edu
