| Iarpa janus benchmark-c: Face dataset and protocol B Maze, J Adams, JA Duncan, N Kalka, T Miller, C Otto, AK Jain, ... 2018 International Conference on Biometrics (ICB), 158-165, 2018 | 553 | 2018 |
| Demographic Estimation from Face Images: Human vs. Machine Performance H Han, C Otto, X Liu, A Jain IEEE, 0 | 383 | |
| Age estimation from face images: Human vs. machine performance H Han, C Otto, AK Jain 2013 International Conference on Biometrics (ICB), 1-8, 2013 | 329 | 2013 |
| Face Search at Scale. D Wang, C Otto, AK Jain IEEE transactions on pattern analysis and machine intelligence, 2016 | 263* | 2016 |
| Unconstrained face recognition: Identifying a person of interest from a media collection L Best-Rowden, H Han, C Otto, B Klare, AK Jain IEEE, 2014 | 248 | 2014 |
| Clustering Millions of Faces by Identity C Otto, D Wang, AK Jain arXiv preprint arXiv:1604.00989, 2016 | 194 | 2016 |
| Rail component detection, optimization, and assessment for automatic rail track inspection Y Li, H Trinh, N Haas, C Otto, S Pankanti IEEE Transactions on Intelligent Transportation Systems 15 (2), 760-770, 2014 | 151 | 2014 |
| Detection and tracking of moving objects A Hampapur, J Li, S Pankanti, CA Otto US Patent 9,105,098, 2015 | 119 | 2015 |
| Face clustering: representation and pairwise constraints Y Shi, C Otto, AK Jain IEEE Transactions on Information Forensics and Security 13 (7), 1626-1640, 2018 | 111 | 2018 |
| Enhanced rail component detection and consolidation for rail track inspection H Trinh, N Haas, Y Li, C Otto, S Pankanti Applications of Computer Vision (WACV), 2012 IEEE Workshop on, 289-295, 2012 | 73 | 2012 |
| Object segmentation at a self-checkout RS Feris, CA Otto, S Pankanti, DD Tran US Patent 8,744,176, 2014 | 64 | 2014 |
| How does aging affect facial components? C Otto, H Han, A Jain European Conference on Computer Vision, 189-198, 2012 | 60 | 2012 |
| Bridging the Gap Between Computational Photography and Visual Recognition W Scheirer, R VidalMata, S Banerjee, B RichardWebster, M Albright, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 56* | 2020 |
| Component-based track inspection using machine-vision technology Y Li, C Otto, N Haas, Y Fujiki, S Pankanti Proceedings of the 1st ACM International Conference on Multimedia Retrieval, 60, 2011 | 56 | 2011 |
| Method and system of rail component detection using vision technology N Haas, Y Li, CA Otto, S Pankanti US Patent 8,625,878, 2014 | 49 | 2014 |
| Anomaly detection in images and videos Y Fujiki, N Haas, Y Li, CA Otto, B Paluri, S Pankanti US Patent 8,724,904, 2014 | 44 | 2014 |
| Visual item verification for fraud prevention in retail self-checkout R Bobbit, J Connell, N Haas, C Otto, S Pankanti, J Payne Applications of Computer Vision (WACV), 2011 IEEE Workshop on, 585-590, 2011 | 26 | 2011 |
| An efficient approach for clustering face images C Otto, B Klare, AK Jain 2015 International Conference on Biometrics (ICB), 243-250, 2015 | 24 | 2015 |
| System and method for inexpensive railroad track imaging for inspection N Haas, Y Li, CA Otto, S Pankanti US Patent 9,036,025, 2015 | 24 | 2015 |
| Location determination for an object using visual data N Haas, Y Li, CA Otto, S Pankanti, Y Fujiji, H Trinh US Patent 9,036,865, 2015 | 24 | 2015 |
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