Miss Xin Zhao

Dong, Z., Wu, X., Zhao, X., Zhang, F. and Liu, H. 2022. Identifying pitfalls in the evaluation of saliency models for videos. Presented at: IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), Nafplio, Greece, 26-29 June 2022Proceedings of IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP). IEEE, (10.1109/IVMSP54334.2022.9816306)

Lou, J., Zhao, X., Young, P., White, R. and Liu, H. 2021. Study of saccadic eye movements in diagnostic imaging. Presented at: 2021 IEEE International Conference on Image Processing (ICIP), Anchorage, AK, USA, 19-22 September 20212021 IEEE International Conference on Image Processing (ICIP). IEEE pp. 1474-1478., (10.1109/ICIP42928.2021.9506017)
Guo, P., Zhao, X., Zeng, D. and Liu, H. 2021. A metric for quantifying image quality induced saliency variation. Presented at: 2021 IEEE International Conference on Image Processing (ICIP), Anchorage, AK, USA, 19-22 September 2021.
Guo, P., Zhao, X., Wu, D., Zhang, L., Zeng, D. and Liu, H. 2021. Convex optimization method for quantifying image quality induced saliency variation. IEEE Access 9, pp. 111533-111543. (10.1109/ACCESS.2021.3102465)

Zhao, X., Lin, H., Guo, P., Saupe, D. and Liu, H. 2020. Deep learning vs. traditional algorithms for saliency prediction of distorted images. Presented at: 27th IEEE International Conference on Image Processing (ICIP 2020), United Arab Emirates, 25-28 October 2020.

Dong, Z., Wu, X., Zhao, X., Zhang, F. and Liu, H. 2022. Identifying pitfalls in the evaluation of saliency models for videos. Presented at: IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), Nafplio, Greece, 26-29 June 2022Proceedings of IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP). IEEE, (10.1109/IVMSP54334.2022.9816306)
Lou, J., Zhao, X., Young, P., White, R. and Liu, H. 2021. Study of saccadic eye movements in diagnostic imaging. Presented at: 2021 IEEE International Conference on Image Processing (ICIP), Anchorage, AK, USA, 19-22 September 20212021 IEEE International Conference on Image Processing (ICIP). IEEE pp. 1474-1478., (10.1109/ICIP42928.2021.9506017)
Guo, P., Zhao, X., Zeng, D. and Liu, H. 2021. A metric for quantifying image quality induced saliency variation. Presented at: 2021 IEEE International Conference on Image Processing (ICIP), Anchorage, AK, USA, 19-22 September 2021.
Zhao, X., Lin, H., Guo, P., Saupe, D. and Liu, H. 2020. Deep learning vs. traditional algorithms for saliency prediction of distorted images. Presented at: 27th IEEE International Conference on Image Processing (ICIP 2020), United Arab Emirates, 25-28 October 2020.

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