| Coupled marginal fisher analysis for low-resolution face recognition S Siena, VN Boddeti, BVK Vijaya Kumar Computer Vision–ECCV 2012. Workshops and Demonstrations: Florence, Italy …, 2012 | 52 | 2012 |
| A texture-based probabilistic approach for lung nodule segmentation O Zinoveva, D Zinovev, SA Siena, DS Raicu, J Furst, SG Armato Image Analysis and Recognition: 8th International Conference, ICIAR 2011 …, 2011 | 26 | 2011 |
| Maximum-margin coupled mappings for cross-domain matching S Siena, VN Boddeti, BVKV Kumar 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications …, 2013 | 16 | 2013 |
| Human perceptual categorization of iris texture patterns L Stark, KW Bowyer, S Siena 2010 Fourth IEEE International Conference on Biometrics: Theory …, 2010 | 16 | 2010 |
| Detecting occlusion from color information to improve visual tracking S Siena, BVKV Kumar 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 11 | 2016 |
| Exploring the usability of pronounceable passwords S Lau, S Siena, A Pandey, S Sosothikul, L Cranor, B Ur, R Shay SOUPS Poster, 2014 | 7 | 2014 |
| IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP) S Siena, B Kumar | 5 | 2016 |
| A shape-dependent variability metric for evaluating panel segmentations with a case study on LIDC S Siena, O Zinoveva, D Raicu, J Furst, S Armato III Medical Imaging 2010: Computer-Aided Diagnosis 7624, 340-347, 2010 | 4 | 2010 |
| Improving the Design and Use of Correlation Filters in Visual Tracking. SA Siena Carnegie Mellon University, USA, 2017 | 3 | 2017 |
| Detecting Occlusion from Color Information to Improve Visual Tracking-Presentation Slides S Siena, BVK Kumar | | 2016 |
| Cross-Domain Image Matching S Siena, VN Boddeti, V Bhagavatula | | |
