| Multi-view face detection using deep convolutional neural networks SS Farfade, MJ Saberian, LJ Li Proceedings of the 5th ACM on International Conference on Multimedia …, 2015 | 843 | 2015 |
| Learning complexity-aware cascades for deep pedestrian detection Z Cai, M Saberian, N Vasconcelos Proceedings of the IEEE international conference on computer vision, 3361-3369, 2015 | 464 | 2015 |
| Boosted convolutional neural networks. M Moghimi, SJ Belongie, MJ Saberian, J Yang, N Vasconcelos, LJ Li BMVC 5, 6, 2016 | 197 | 2016 |
| Multiclass Boosting: Theory and Algorithms MJ Saberian, N Vasconcelos Neural Information Processing Systems (NIPS), 2011 | 136 | 2011 |
| Boosting Classifier Cascades. MJ Saberian, N Vasconcelos NIPS 23, 2047-2055, 2010 | 72* | 2010 |
| Face detection M Saberian, SS Farfade, J Li US Patent 9,852,492, 2017 | 65 | 2017 |
| Robust audio data hiding using correlated quantization with histogram-based detector MA Akhaee, MJ Saberian, S Feizi, F Marvasti IEEE Transactions on Multimedia 11 (5), 834-842, 2009 | 50 | 2009 |
| Taylorboost: First and second-order boosting algorithms with explicit margin control MJ Saberian, H Masnadi-Shirazi, N Vasconcelos CVPR 2011, 2929-2934, 2011 | 39 | 2011 |
| Learning optimal embedded cascades MJ Saberian, N Vasconcelos IEEE transactions on pattern analysis and machine intelligence 34 (10), 2005 …, 2012 | 36 | 2012 |
| Guess-averse loss functions for cost-sensitive multiclass boosting O Beijbom, M Saberian, D Kriegman, N Vasconcelos International Conference on Machine Learning, 586-594, 2014 | 35 | 2014 |
| Boosting algorithms for detector cascade learning M Saberian, N Vasconcelos The Journal of Machine Learning Research 15 (1), 2569-2605, 2014 | 34 | 2014 |
| Boosted deep convolutional neural networks (CNNs) M Saberian, J Li, J Yang US Patent 9,805,305, 2017 | 29 | 2017 |
| An invertible quantization based watermarking approach MJ Saberian, MA Akhaee, F Marvasti 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 22 | 2008 |
| Multiclass boosting: Margins, codewords, losses, and algorithms M Saberian, N Vasconcelos Journal of Machine Learning Research 20 (137), 1-68, 2019 | 16 | 2019 |
| Gradient boosted decision tree neural network M Saberian, P Delgado, Y Raimond arXiv preprint arXiv:1910.09340, 2019 | 14 | 2019 |
| Boosting Algorithms for Simultaneous Feature Extraction and Selection MJ Saberian, N Vasconcelos Computer Vision and Pattern Recognition (CVPR), 2012 | 13 | 2012 |
| System and method for contextual video advertisement serving in guaranteed display advertising S Cetintas, S Ravindran, M Saberian, S Soni, K Lee, H Yao, J Yang, ... US Patent 10,922,722, 2021 | 9 | 2021 |
| Deep hashing with hash-consistent large margin proxy embeddings P Morgado, Y Li, J Costa Pereira, M Saberian, N Vasconcelos International Journal of Computer Vision 129 (2), 419-438, 2021 | 7 | 2021 |
| Multi-resolution cascades for multiclass object detection M Saberian, N Vasconcelos Advances in Neural Information Processing Systems 27, 2014 | 7 | 2014 |
| RecSysOps: Best practices for operating a large-scale recommender system M Saberian, J Basilico Proceedings of the 15th ACM Conference on Recommender Systems, 590-591, 2021 | 5 | 2021 |
Nuno VasconcelosProfessor of Electrical and Computer Engineering, University of California San DiegoVerified email at ece.ucsd.edu
