Mohammad (Ehsan) Saberian Department
of Electrical and Computer Engineering, University
of California, San Diego, Email: mj.saberian @ gmail . com |
I am currently working at Yahoo! Labs. I received my Ph.D. degree from ECE department at UCSD (Statistical Visual Computing Lab) in July 2014. My research interests are in the areas of computer vision and machine learning. More details about my research are below in the projects section. | |||||||||||||||||||||||||||||||
Honors: |
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- Facebook fellowship finalist, 2012. | |||||||||||||||||||||||||||||||
- Winner of Yahoo! Key Scientific Challenge in multimedia, 2011. | |||||||||||||||||||||||||||||||
- Qualcomm Innovation fellowship finalist, 2010. | |||||||||||||||||||||||||||||||
- Department fellowship, University of California San Diego, 2008. | |||||||||||||||||||||||||||||||
Projects: | |||||||||||||||||||||||||||||||
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Publication: | |||||||||||||||||||||||||||||||
Multi-Resolution Cascades for Multiclass Object Detection Mohammad J. Saberian and Nuno Vasconcelos In Proc. Neural Information Processing Systems (NIPS), [pdf] |
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Boosting Algorithm for Learning Detector Cascade Mohammad J. Saberian and Nuno Vasconcelos Journal of Machine Learning Research (JMLR) [pdf] | |||||||||||||||||||||||||||||||
Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting Mohammad Saberian, Oscar Beijbom, David Kriegman and Nuno Vasconcelos International Conference on Machine Learning (ICML), 2014 [pdf] [supp] [code] | |||||||||||||||||||||||||||||||
Learning Optimal Embedded Cascades Mohammad J. Saberian and Nuno Vasconcelos. IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 34(10), 2005-2018, October 2012 [ps] [pdf] | |||||||||||||||||||||||||||||||
Boosting Algorithms for Simultaneous Feature Extraction and Selection Mohammad J. Saberian and Nuno Vasconcelos . Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, 2012. [ps] [pdf][code] |
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Multiclass Boosting: Theory and Algorithms Mohammad J. Saberian and Nuno Vasconcelos . In Proc. Neural Information Processing Systems (NIPS), Granada, Spain, Dec 2011. [ps] [pdf][code] |
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TaylorBoost: First and Second Order Boosting Algorithms with Explicit Margin Control | |||||||||||||||||||||||||||||||
Boosting Classifer Cascades | |||||||||||||||||||||||||||||||
Last
update: 06/28/2012
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@ 2009 www.svcl.ucsd.edu