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

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)