Publications for author J. Zhao (excluding plenary and invited talks)


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Click to download PDF version Click to download BibTeX data Clik to view abstract C. K. Chang, J. Zhao, L. Itti, DeepVP: Deep Learning for Vanishing Point Detection on 1 Million Street View Images, In: Proc. IEEE International Conference on Robotics and Automation (ICRA), IEEE, pp. 1-8, May 2018. [2018 acceptance rate: 40.0%]

Click to download PDF version Click to download BibTeX data Clik to view abstract J. Zhao, L. Itti, shapeDTW: shape Dynamic Time Warping, Pattern Recognition, Feb 2018. (in press) [2017 impact factor: 3.962] (Cited by 7)

Click to download PDF version Click to download BibTeX data Clik to view abstract J. Zhao, L. Itti, Improved Deep Learning of Object Category using Pose Information, In: Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV), Santa Rosa, CA, pp. 1-10, Mar 2017. [2017 acceptance rate: 44%] (Cited by 1)

Click to download PDF version Click to download BibTeX data Clik to view abstract J. Zhao, C. K. Chang, L. Itti, Learning to Recognize Objects by Retaining other Factors of Variation, In: Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV), Santa Rosa, CA, pp. 1-9, Mar 2017. [2017 acceptance rate: 44%] (Cited by 1)

Click to download BibTeX data Clik to view abstract 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 3)

Click to download PDF version Click to download BibTeX data Clik to view abstract 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 19)

Click to download PDF version Click to download BibTeX data Clik to view abstract 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 22)

Click to download PDF version Click to download BibTeX data Clik to view abstract J. Zhao, C. Siagian, L. Itti, Fixation Bank: Learning to Reweight Fixation Candidates, In: Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, pp. 3174-3182, Jun 2015. [2015 acceptance rate: 28%] (Cited by 9)

 

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