= PDF Reprint, = BibTeX entry, = Online Abstract
Y. Ge, J. Ren, Y. Wang, A. Gallagher, M. H. Yang, L. Itti, H. Adam, B. Lakshminarayanan, J. Zhao, Improving Zero-shot Generalization and Robustness of Multi-modal Models, arXiv preprint arXiv:2212.01758, 2022. [ArXiv Preprint]
J. T. Leksut, J. Zhao, L. Itti, Learning visual variation for object recognition, Image and Vision Computing, pp. 1-11, Elsevier, 2020. [2020 impact factor: 4.48] (Cited by 7)
Y. Ge, J. Zhao, L. Itti, Pose Augmentation: Class-Agnostic Object Pose Transformation for Object Recognition, In: European Conference on Computer Vision (ECCV'20, 2020.
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%] (Cited by 34)
J. Zhao, L. Itti, shapeDTW: shape Dynamic Time Warping, Pattern Recognition, pp. 171--184, Feb 2018. [2017 impact factor: 3.962] (Cited by 144)
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 5)
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 9)
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 15)
T. Furlanello, J. Zhao, A. M. Saxe, L. Itti, B. S. Tjan, Active Long Term Memory Networks, arXiv preprint arXiv:1606.02355, Aug 2016. [ArXiv Preprint] (Cited by 44)
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 41)
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 14)
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