Batch normalization: Accelerating deep network training by reducing internal covariate shift S Ioffe, C Szegedy arXiv preprint arXiv:1502.03167, 2015 | 23847 | 2015 |
Rethinking the inception architecture for computer vision C Szegedy, V Vanhoucke, S Ioffe, J Shlens, Z Wojna Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 11501 | 2016 |
Inception-v4, inception-resnet and the impact of residual connections on learning C Szegedy, S Ioffe, V Vanhoucke, A Alemi Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 6466 | 2017 |
Batch normalization: Accelerating deep network training by reducing internal covariate shift. arXiv 2015 S Ioffe, C Szegedy arXiv preprint arXiv:1502.03167, 2015 | 634 | 2015 |
Deep convolutional ranking for multilabel image annotation Y Gong, Y Jia, T Leung, A Toshev, S Ioffe arXiv preprint arXiv:1312.4894, 2013 | 369 | 2013 |
Scalable, high-quality object detection C Szegedy, S Reed, D Erhan, D Anguelov, S Ioffe arXiv preprint arXiv:1412.1441, 2014 | 368 | 2014 |
Probabilistic linear discriminant analysis S Ioffe European Conference on Computer Vision, 531-542, 2006 | 349 | 2006 |
Probabilistic methods for finding people S Ioffe, DA Forsyth International Journal of Computer Vision 43 (1), 45-68, 2001 | 310 | 2001 |
Batch renormalization: Towards reducing minibatch dependence in batch-normalized models S Ioffe Advances in neural information processing systems, 1945-1953, 2017 | 268 | 2017 |
No fuss distance metric learning using proxies Y Movshovitz-Attias, A Toshev, TK Leung, S Ioffe, S Singh Proceedings of the IEEE International Conference on Computer Vision, 360-368, 2017 | 206 | 2017 |
Automatic face detection and identity masking in images, and applications thereof S Ioffe, L Williams, D Strelow, A Frome, L Vincent US Patent 8,098,904, 2012 | 163 | 2012 |
Improved consistent sampling, weighted minhash and l1 sketching S Ioffe 2010 IEEE International Conference on Data Mining, 246-255, 2010 | 163 | 2010 |
Multimedia systems, standards, and networks A Puri CRC Press, 2000 | 151 | 2000 |
Human tracking with mixtures of trees S Ioffe, D Forsyth Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001 | 144 | 2001 |
Temporal differences-based policy iteration and applications in neuro-dynamic programming DP Bertsekas, S Ioffe Lab. for Info. and Decision Systems Report LIDS-P-2349, MIT, Cambridge, MA 14, 1996 | 143 | 1996 |
Method and apparatus for object recognition using probability models S Ioffe US Patent 7,596,247, 2009 | 136 | 2009 |
Segmenting images and simulating motion blur using an image sequence T Chinen, S Ioffe, T Leung, Y Song US Patent 7,702,131, 2010 | 111 | 2010 |
Endpoint based video fingerprinting J Yagnik, HA Rowley, S Ioffe US Patent 8,611,422, 2013 | 107 | 2013 |
Red eye detection with machine learning S Ioffe Proceedings 2003 International Conference on Image Processing (Cat. No …, 2003 | 100 | 2003 |
Method and apparatus for red-eye detection S Ioffe, TT Chinen US Patent 7,343,028, 2008 | 96 | 2008 |