邓杰航
副教授
副教授
硕士生导师
入职时间：2010-08-02
所在单位：计算机学院
学历：博士研究生毕业
在职信息：在职
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[1] Jiehang, D., Haomin, W., Zhenxiang, L., Guosheng, G., Zhiqiang, C., Lei, D., & Leo, C. (2022). Spatial transform depthwise over-parameterized convolution recurrent neural network for license plate recognition in complex environment. Journal of Computing and Information Science in Engineering, 1-11..
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[2] Deng, J., Wei, H., He, D., Gu, G., Kang, X., Liang, H., ... & Zhao, J. (2022). A coarse to fine framework for recognizing and locating multiple diatoms with highly complex backgrounds in forensic investigation. Multimedia Tools and Applications, 81(4), 4839-4857..
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[3] Deng, J., Chen, H., Yuan, Z., Gu, G., Xu, S., Weng, S., & Wang, H. (2022). An enhanced image quality assessment by synergizing superpixels and visual saliency. Journal of Visual Communication and Image Representation, 103610..
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[4] DENG, J., GUO, W., CHEN, H., GU, G., LIU, J., DU, Y., ... & ZHAO, J. (2022). Few-shot diatom detection combining multi-scale multi-head self-attention and online hard example mining. Journal of Computer Applications, 42(8), 2593..
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[5] Chen, Z., Deng, J., Zhu, Q., Wang, H., & Chen, Y. (2022). A Systematic Review of Machine-Vision-Based Leather Surface Defect Inspection. Electronics, 11(15), 2383..
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[6] Gu, G., Lu, H., Deng, J.*, Wang, H., Wei, H., & Ling, J. (2022). A synergetic image encryption method based on discrete fractional random transform and chaotic maps. Multimedia Tools and Applications, 1-25..
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[7] Gu G, Gan S, Deng J.*, et al. Automated diatom detection in forensic drowning diagnosis using a single shot multibox detector with plump receptive field[J]. Applied Soft Computing, 2022: 108885..
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[8] Deng J, Guo W, Zhao Y, et al. Identification of diatom taxonomy by a combination of region-based full convolutional network, online hard example mining, and shape priors of diatoms[J]. International Journal of Legal Medicine, 2021, 135(6): 2519-2530..
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[9] Deng J, Wei H, He D, et al. A coarse to fine framework for recognizing and locating multiple diatoms with highly complex backgrounds in forensic investigation[J]. Multimedia Tools and Applications, 2021: 1-19..
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[10] Deng J, Liu J, Wu C, et al. A novel framework for classifying leather surface defects based on a parameter optimized residual network[J]. IEEE Access, 2020, 8: 192109-192118..
