的个人主页 http://faculty.cumt.edu.cn/ZhouYu/zh_CN/index.htm
周玉, 赵小锋, 汪一, 孙彦景, 李松,关键细粒度信息指导的多尺度遮挡行人重识别, 电子与信息学报, 2024.
Y. Zhou, W. Gong, Y. Sun, L. Li, K. Gu and J. Wu, "Quality Assessment for Stitched Panoramic Images via Patch Registration and Bidimensional Feature Aggregation", IEEE Transactions on Multimedia, 2023.
Y. Zhou, Y. Ding, Y. Sun, L. Li, J. Wu and X. Gao, "Perceptual Information Completion based Siamese Omnidirectional Image Quality Assessment Network", IEEE Transactions on Instrumentation & Measurement, 2023.
Y. Zhou, W. Gong, Y. Sun, L. Li, J. Wu and X. Gao, "Pyramid Feature Aggregation for Hierarchical Quality Prediction of Stitched Panoramic Images", IEEE Transactions on Multimedia, Aug. 2022. doi: 10.1109/TMM.2022.3171684.
Y. Zhou, Y. Sun, L. Li, K. Gu, Y. Fang, "Omnidirectional Image Quality Assessment by Distortion Discrimination Assisted Multi-Stream Network", IEEE Transactions on Circuits and Systems for Video Technology, April. 2022. doi: 10.1109/TCSVT.2021.3081162, 2021.
周玉, 汪一, 李雷达, 高陈强, 卢兆林, 虚拟现实图像客观质量评价研究进展, 中国图象图形学报, 2022. doi: 10.11834/jig.210949.
Y. Zhou, R. Li, Y. Sun, K. Dong, S. Li, "Knowledge Self-distillation for Visible-infrared Cross-Modality Person Re-identification", Applied Intelligence, July. 2022. doi: 10.1007/s10489-021-02814-4.
Y. Zhou, L. Li, S. Wang, J. Wu, Y. Fang, X. Gao, "No-Reference Quality Assessment for View Synthesis Using DoG-based Edge Statistics and Texture Naturalness", IEEE Transactions on Image Processing, vol. 28, no. 9, pp. 4566-4579, Sep. 2019. doi: 10.1109/TIP.2019.2912463. (SCI: 000476797800009)
Y. Zhou, L. Li, J. Wu, K. Gu, W. Dong, and G. Shi, "Blind Quality Index for Multiply Distorted Images Using Biorder Structure Degradation and Nonlocal Statistics", IEEE Transactions on Multimedia, vol. 20, no.11, pp: 3019-3032, Nov., 2018. doi: 10.1109/TMM.2018.2829607. (SCI: 000447824800012)
Y. Zhou, L. Li, S. Ling, and Patrick Le Callet, "Quality Assessment for View Synthesis Using Low-level and Mid-level Sructural Representation", Signal Processing: Image Communication, vol. 74, pp. 309-321, May. 2019. doi:10.1016/j.image.2019.03.005.
Y. Zhou, L. Li, S. Wang, J. Wu, and Y. Zhang, "No-Reference Quality Assessment of DIBR-Synthesized Videos by Measuring Temporal Flickering", Journal of Visual Communication and Image Representation, vol.55, pp.30-39,Aug. 2018. doi: 10.1016/j.jvcir.2018.05.023. (SCI: 000441233300032)
Y. Zhou, L. Li, H. Zhu, H. Liu, S. Wang, and Y. Zhao, "No-Reference Quality Assessment for Contrast-Distorted Images Based on Multifaceted Statistical Representation of Structure", Journal of Visual Communication and Image Representation, vol.60, pp.158-169,Apr. 2019. doi: 10.13700/j.bh.1001-5965.2021.0509. (SCI: 000464088000019)
Y. Zhou, L. Yang, L. Li, K. Gu, L. Tang, "Reduced-Reference Quality Assessment of DIBR-Synthesized Images Based on Multi-Scale Edge Intensity Similarity", Multimedia Tools and Applications, vol.77, pp:21033-21052, Aug. 2018. doi: 10.1007/s11042-017-5543-7. (SCI: 000441233300032)
Y. Zhou, L. Li, K. Gu, Y. Fang and W. Lin, "Quality Assessment of 3D Synthesized Images via Disoccluded Region Discovery", IEEE International Conference on Image Processing, Sept. 2016. doi: 10.1109/ICIP.2016.7532510 (会议论文)
Y. Wang, L. Wang, Y. Zhou, "Bi-level Deep Mutual Learning Assisted Multi-task Network for Occluded Person Re-identification", IET Image Processing, 2022.
L. Wang, Y. Zhou, Y. Sun, S. Li, "Occluded Person Re-Identification based on Differential Attention Siamese Network", Applied Intelligence, May. 2022. doi: 10.1007/s10489-021-02820-6.
L. Li, Y. Zhou, J. Wu, F. Li and G. Shi, "Quality Index for View Synthesis by Measuring Instance Degradation and Global Appearance", IEEE Transactions on Multimedia, vol. 23, pp. 320-332, Mar. 2020. doi: 10.1109/TMM.2020.2980185.
Y. Huang, Y. Zhou, B. Hu, S. Tian, and J. Yan, "DIBR-synthesised video quality assessment by measuring geometric distortion and spatiotemporal inconsistency", Electronics Letters, vol. 56, no. 24, pp.1314-1317, Nov. 2020. doi: 10.1049/el.2020.1791.
L. Li, Y. Zhou, K. Gu, W. Lin and S. Wang, "Quality Assessment of DIBR-Synthesized Images by Measuring Local Geometric Distortions and Global Sharpness", IEEE Transactions on Multimedia, vol. 20, no. 4, pp. 914-926, April. 2018. doi: 10.1109/TMM.2017.2760062. (SCI: 000427623000012)
L. Li, Y. Zhou, K. Gu, Y. Yang and Y. Fang, "Blind Realistic Blur Assessment Based on Discrepancy Learning", IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 11, pp. 3859-3869, Nov. 2020. doi: 10.1109/TCSVT.2019.2947450.
L. Li, Y. Zhou, J. Wu, W. Lin and H. Li. "GridSAR: Grid strength and regularity measure for evaluating blocking artifacts in JPEG images", Journal of Visual Communication and Image Representation, vol. 30, pp: 153-163, Jul. 2015. doi: 10.1016/j.jvcir.2015.04.001. (SCI: 000357761900014, EI: 20151700781622)
L. Li, Y. Zhou, W. Lin, J. Wu, X. Zhang and B. Chen, "No-Reference Quality Assessment of Deblocked Images", Neurocomputing, vol. 177, pp. 572-584, Feb. 2016. doi:10.1016/j.neucom.2015.11.063. (SCI: 000370085800053) ESI高被引
Y. Huang, L. Li, Y. Zhou, and B. Hu, "No-Reference Quality Assessment For Live Broadcasting Videos In Temporal And Spatial Domains", IET Image Processing, 14(4): 774-781, Feb. 2020. doi: 10.1049/iet-ipr.2019.1195.