= PDF Reprint, = BibTeX entry, = Online Abstract
A. Borji, S. Izadi, L. Itti, iLab-20M: A large-scale controlled object dataset to investigate deep learning, In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, pp. 2221-2230, Jun 2016. [Conference acceptance rate: 29.9%] (Cited by 17)
J. Zhao, L. Itti, Decomposing Time Series with application to Temporal Segmentation, In: Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Placid, NY, pp. 1-9, Mar 2016. [2016 first round acceptance rate: 34%] (Cited by 1)
T. Furlanello, J. Zhao, A. M. Saxe, L. Itti, B. S. Tjan, Active Long Term Memory Networks, arXiv preprint arXiv:1606.02355, Aug 2016. (in press) (Cited by 6)
J. Wang, A. Borji, C.-C. J. Kuo, L. Itti, Learning a combined model of visual saliency for fixation prediction, IEEE Transactions on Image Processing, Vol. 25, No. 4, pp. 1566-1579, Apr 2016. [2014 impact factor: 3.625] (Cited by 22)
C. Siagian, L. Itti, Impact of Neuroscience in Robotic Vision Localization and Navigation, (Q. Zhao Ed.), Springer Singaore, Sep 2016.
J. Windau, L. Itti, Walking compass with head-mounted IMU sensor, In: Proc. IEEE International Conference on Robotics and Automation (ICRA), May 2016. [2016 acceptance rate: 34.7%] (Cited by 3)
J. Zhao, L. Itti, Classifying Time Series using Local Descriptors with Hybrid Sampling, IEEE Transactions on Knowledge and Data Engineering, Vol. 28, No. 3, pp. 623-637, Mar 2016. [2015 impact factor: 2.476] (Cited by 9)
Copyright © 2000-2007 by the University of Southern California, iLab and Prof. Laurent Itti.
This page generated by bibTOhtml on Fri Jan 26 09:25:23 PST 2018