姓名:周武杰             性别:            职务/职称:副教授/副院长            学历/学位:研究生/博士
    
Wujie Zhou (周武杰)*, et al. Local and global feature learning for blind quality evaluation of screen content and natural scene images[J], IEEE Transactions on Image Processing, vol. 27, no. 5, pp. 2086–2095, May 2018. (SCI, JCR一区, IF: 4.828, 中科院TOP期刊) Wujie Zhou (周武杰)*, Lu Yu. Binocular responses for no-reference 3D image quality measurement[J]. IEEE Transactions on Multimedia, vol. 16, no. 6, pp. 1077–1084, 2016. (SCI, JCR一区, IF: 3.509, 中科院TOP期刊) Wujie Zhou (周武杰)*, Lu Yu, Yang Zhou, Weiwei Qiu, Ming-Wei Wu, Ting Luo, Blind quality estimator for 3D images based on binocular combination and extreme learning machine [J], Pattern Recognition, vol. 71, pp. 207–217, Nov. 2017. (SCI, JCR一区, IF:4.582) Wujie Zhou (周武杰)*, Weiwei Qiu, Mingwei Wu. Utilizing dictionary learning and machine learning for blind quality assessment of 3D images[J]. IEEE Transactions on Broadcasting, vol. 63, no. 2, pp. 404–415, June 2017. (SCI, JCR一区, IF: 3.765) Wujie Zhou (周武杰)*, et al. Local gradient patterns (LGP): an effective local statistical features extraction scheme for no-reference image quality assessment[J], Information Sciences, vol. 397-398, pp. 1–14, Aug. 2017. (SCI, JCR一区, IF: 4.832, 中科院TOP期刊) Wujie Zhou (周武杰)*, et al. Blind 3D image quality assessment based on self-similarity of binocular features[J]. Neurocomputing, vol.224, pp. 128–134, Feb. 2017, (SCI, JCR一区, IF: 3.317) Wujie Zhou (周武杰)*, Lu Yu., et al, Utilizing binocular vision to facilitate completely blind 3D image quality measurement[J]. Signal Processing, vol. 129, pp. 130–136, Dec. 2016. (SCI, JCR一区, IF: 3.110) Wujie Zhou (周武杰)*, Lu Yu, Mingwei Wu. Simulating binocular vision for no-reference 3D visual quality measurement[J]. Optics Express, vol. 23, no. 18, pp. 23710–23715, 2015. (SCI, JCR一区, IF: 3.307, 中科院TOP期刊)

专业特长和研究方向

计算机视觉与模式识别;人工智能与深度学习;视觉大数据分析与应用;无人驾驶计算机视觉技术

研究成果

Wujie Zhou (周武杰)*, et al. Local and global feature learning for blind quality evaluation of screen content and natural scene images[J], IEEE Transactions on Image Processing, vol. 27, no. 5, pp. 2086–2095, May 2018. (SCI, JCR一区, IF: 4.828, 中科院TOP期刊) Wujie Zhou (周武杰)*, Lu Yu. Binocular responses for no-reference 3D image quality measurement[J]. IEEE Transactions on Multimedia, vol. 16, no. 6, pp. 1077–1084, 2016. (SCI, JCR一区, IF: 3.509, 中科院TOP期刊) Wujie Zhou (周武杰)*, Lu Yu, Yang Zhou, Weiwei Qiu, Ming-Wei Wu, Ting Luo, Blind quality estimator for 3D images based on binocular combination and extreme learning machine [J], Pattern Recognition, vol. 71, pp. 207–217, Nov. 2017. (SCI, JCR一区, IF:4.582) Wujie Zhou (周武杰)*, Weiwei Qiu, Mingwei Wu. Utilizing dictionary learning and machine learning for blind quality assessment of 3D images[J]. IEEE Transactions on Broadcasting, vol. 63, no. 2, pp. 404–415, June 2017. (SCI, JCR一区, IF: 3.765) Wujie Zhou (周武杰)*, et al. Local gradient patterns (LGP): an effective local statistical features extraction scheme for no-reference image quality assessment[J], Information Sciences, vol. 397-398, pp. 1–14, Aug. 2017. (SCI, JCR一区, IF: 4.832, 中科院TOP期刊) Wujie Zhou (周武杰)*, et al. Blind 3D image quality assessment based on self-similarity of binocular features[J]. Neurocomputing, vol.224, pp. 128–134, Feb. 2017, (SCI, JCR一区, IF: 3.317) Wujie Zhou (周武杰)*, Lu Yu., et al, Utilizing binocular vision to facilitate completely blind 3D image quality measurement[J]. Signal Processing, vol. 129, pp. 130–136, Dec. 2016. (SCI, JCR一区, IF: 3.110) Wujie Zhou (周武杰)*, Lu Yu, Mingwei Wu. Simulating binocular vision for no-reference 3D visual quality measurement[J]. Optics Express, vol. 23, no. 18, pp. 23710–23715, 2015. (SCI, JCR一区, IF: 3.307, 中科院TOP期刊)

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