| Visual tracking and recognition using appearance-adaptive models in particle filters SK Zhou, R Chellappa, B Moghaddam Image Processing, IEEE Transactions on 13 (11), 1491-1506, 2004 | 890 | 2004 |
| Probabilistic recognition of human faces from video S Zhou, V Krueger, R Chellappa Computer Vision and Image Understanding 91 (1), 214-245, 2003 | 362 | 2003 |
| From sample similarity to ensemble similarity: Probabilistic distance measures in reproducing kernel hilbert space SK Zhou, R Chellappa Pattern Analysis and Machine Intelligence, IEEE Transactions on 28 (6), 917-929, 2006 | 210 | 2006 |
| FaceNet2ExpNet: Regularizing a deep face recognition net for expression recognition H Ding, SK Zhou, R Chellappa 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | 208 | 2017 |
| Hierarchical, learning-based automatic liver segmentation H Ling, SK Zhou, Y Zheng, B Georgescu, M Suehling, D Comaniciu 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 185 | 2008 |
| Deep learning for medical image analysis SK Zhou, H Greenspan, D Shen | 166 | 2017 |
| Hierarchical parsing and semantic navigation of full body CT data S Seifert, A Barbu, SK Zhou, D Liu, J Feulner, M Huber, M Suehling, ... SPIE–Medical Imaging Conference,(7258), 725902-725902, 2009 | 161 | 2009 |
| Image based regression using boosting method SK Zhou, B Georgescu, XS Zhou, D Comaniciu Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 1 …, 2005 | 144 | 2005 |
| Appearance characterization of linear lambertian objects, generalized photometric stereo, and illumination-invariant face recognition SK Zhou, G Aggarwal, R Chellappa, DW Jacobs Pattern Analysis and Machine Intelligence, IEEE Transactions on 29 (2), 230-245, 2007 | 132 | 2007 |
| Automatic liver segmentation using an adversarial image-to-image network D Yang, D Xu, SK Zhou, B Georgescu, M Chen, S Grbic, D Metaxas, ... International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 131 | 2017 |
| Spine detection in CT and MR using iterated marginal space learning BM Kelm, M Wels, SK Zhou, S Seifert, M Suehling, Y Zheng, D Comaniciu Medical image analysis 17 (8), 1283-1292, 2013 | 111 | 2013 |
| Exemplar-based face recognition from video V Krueger, S Zhou Computer Vision—ECCV 2002, 732-746, 2002 | 106 | 2002 |
| Automatic aorta segmentation and valve landmark detection in C-arm CT: application to aortic valve implantation Y Zheng, M John, R Liao, J Boese, U Kirschstein, B Georgescu, SK Zhou, ... International Conference on Medical Image Computing and Computer-Assisted …, 2010 | 102 | 2010 |
| Learning to prune filters in convolutional neural networks Q Huang, SK Zhou, S You, U Neumann 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 709-718, 2018 | 96 | 2018 |
| Probabilistic human recognition from video S Zhou, R Chellappa Computer Vision—ECCV 2002, 681-697, 2002 | 96 | 2002 |
| Face recognition from video: A condensation approach S Zhou, V Krueger, R Chellappa Proceedings of Fifth IEEE International Conference on Automatic Face Gesture …, 2002 | 92 | 2002 |
| Shape regression machine SK Zhou, D Comaniciu Proceedings of the 20th international conference on Information processing …, 2007 | 91 | 2007 |
| Cross-domain synthesis of medical images using efficient location-sensitive deep network H Van Nguyen, SK Zhou, R Vemulapalli International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 86 | 2015 |
| Unconstrained face recognition SK Zhou, R Chellappa, W Zhao Springer Science & Business Media, 2006 | 82 | 2006 |
| Learning multi-modal densities on discriminative temporal interaction manifold for group activity recognition R Li, R Chellappa, SK Zhou Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on …, 2009 | 81 | 2009 |
