合肥工业大学主页平台管理系统刘羽--中文主页--论文成果

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教授
博士生导师
硕士生导师
教师拼音名称：Liu Yu
入职时间：2016-07-04
所在单位：生物医学工程系
职务：系主任
学位：博士学位
毕业院校：中国科学技术大学

论文成果

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[41]Yu Liu, Xun Chen, Zengfu Wang, Z.Jane Wang, RababWard, Xuesong Wang, “Deep learning for pixel-level image fusion: recent advances and future prospects,” Information Fusion, vol. 42, pp. 158-173, 2018. (Invited Paper, ESI Highly Cited Paper)
[42]Yu Liu, Xun Chen, Juan Cheng, Hu Peng, Zengfu Wang, “Infrared and visible image fusion with convolutional neural networks,” International Journal of Wavelets, Multiresolution and Information Processing, vol. 16, no. 3, 1850018: 1-20, 2018. (ESI Highly Cited Paper)
[43]Yu Liu, Xun Chen, Hu Peng, Zengfu Wang, “Multi-focus image fusion with a deep convolutional neural network,” Information Fusion, vol. 36, pp. 191–207, 2017. (ESI Highly Cited Paper)
[44]Yu Liu, Xun Chen, Juan Cheng, Hu Peng, “A medical image fusion method based on convolutional neural networks,” 20th International Conference on Information Fusion (ICIF), Xi’an, China, July 10-13, 2017, pp. 1070-1076.
[45]Yu Liu, Xun Chen, Rabab Ward, Z.Jane Wang, “Image Fusion With Convolutional Sparse Representation,” IEEE Signal Processing Letters, vol. 23, no. 12, pp. 1882-1886, 2016. (ESI Highly Cited Paper)
[46]Yu Liu, Zengfu Wang, “Dense SIFT for ghost-free multi-exposure fusion,” Journal of Visual Communication and Image Representation, vol. 31, pp. 208-224, 2015.
[47]Yu Liu, Shuping Liu, Zengfu Wang, “A general framework for image fusion based on multi-scale transform and sparse representation,” Information Fusion, vol. 24, pp. 147-164, 2015. (ESI Hot Paper, ESI Highly Cited Paper)
[48]Yu Liu, Zengfu Wang, “Simultaneous image fusion and denoising with adaptive sparse representation,” IET Image Processing, vol. 9, no. 5, pp. 347-357, 2015. (2017 Premium Award for the Best Paper in IET Image Processing, ESI Highly Cited Paper)
[49]Yu Liu, Shuping Liu, Zengfu Wang, “Multi-focus image fusion with dense SIFT,” Information Fusion, vol. 23, pp. 139-155, 2015. (ESI Highly Cited Paper)
[50]刘羽, 汪增福, “结合小波变换和自适应分块的多聚焦图像快速融合,” 中国图象图形学报, vol. 18, no. 11, pp. 1435-1444, 2013.

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