English Version

1 于腾简介

工学博士 副教授 硕士生导师 青岛大学人工智能与计算机视觉实验室主任 青岛市发改委项目评审专家

• 研究方向：人工智能 计算机视觉 机器学习
• Email：yutenghit@foxmail.com

2 个人履历

• 2019/10 – 至今，青岛大学，电子信息工程系，副教授
• 2015/09 – 2019/9，青岛大学，通信工程系，助理教授
• 2010/09 – 2015/08，韩国汉阳大学（CSC公派），电子与通信工程，博士
• 2006/09 – 2010/06，哈尔滨工业大学，通信工程，本科

3 课题项目

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4 发表论文

• W. Lou, Y. Li, G. Yang, C. Chen, H. Yang, and T. Yu*, “ Integrating Haze Density Features for Fast Nighttime Image Dehazing,” in IEEE Access, vol. 8, pp. 113318-113330, 2020.
• G. Yang, S. Qi, T. Yu*, et al., “SVDTWDD Method for High Correct Recognition Rate Classifier With Appropriate Rejection Recognition Regions,” in IEEE Access, vol. 8, pp. 47914-47924, 2020.
• H. Gong, T. Pei, Q. Ma, D. Jiang, T. Yu*, “Recognizing Facial Emotions Using Pooling-first Bilinear CNN from a Single Image,” in Journal of Computers, Vol. 31 No. 4, 2020, pp. 54-64.
• T. Yu, K. Song, P. Miao, G. Yang, H. Yang and C. Chen, “Nighttime Single Image Dehazing via Pixel-Wise Alpha Blending,” in IEEE Access, vol. 7, pp. 114619-114630, 2019.
• X. Xu, T. Yu*, X. Xu, G. Hou, R. W. Liu and H. Pan, “Variational total curvature model for multiplicative noise removal,” in IET Computer Vision, vol. 12, no. 4, pp. 542-552, 6 2018.
• G. Hou, G. Wang, Z. Pan, B. Huang, H. Yang, T. Yu, “Image Enhancement and Restoration: State of the Art of Variational Retinex Models,” in IAENG International Journal of Computer Science, vol 44, no. 4, 2017.
• I. Riaz, T. Yu, Y. Rehman, et al., “Single image dehazing via reliability guided fusion,” in Journal of Visual Communication and Image Representation, vol. 40, no. PA, pp. 85-97, 2016.
• T. Yu and H. Shin, “Detecting partially occluded vehicles with geometric and likelihood reasoning,” in IET Computer Vision, vol. 9, no. 2, pp. 174-183, 4 2015.
• T. Yu, I. Riaz, J. Piao and H. Shin, “Real-time single image dehazing using block-to-pixel interpolation and adaptive dark channel prior,” in IET Image Processing, vol. 9, no. 9, pp. 725-734, 9 2015.
• T. Yu, J. Piao, X. Fan and H. Shin, “Enhancement of hough voting by using appearance similarity for object detection,” 2014 International Conference on Computer, Information and Telecommunication Systems (CITS), Jeju, 2014, pp. 1-4.
• X. Fan, T. Yu, J. Piao and H. Shin, “Discriminative leaf based Hough Forest for vehicle detection,” 2014 International Conference on Computer, Information and Telecommunication Systems (CITS), Jeju, 2014, pp. 1-4.
• X. Fan, J. Piao, T. Yu, et al., “Vehicle Detection Method Based on Edge Information and Local Transform Histogram,” in International Journal of Advancements in Computing Technology, 2013.
• T. Yu, X. Fan, H. Shin, “An Efficient Pedestrian Detection Method by Using Coarse-to-Fine Detection and Color Histogram Similarity,” in Convergence and Hybrid Information Technology, 2012.
• T. Yu, H. Shin, et al., “Rendering high dynamic range images by using integrated global and local processing,” in Optical Engineering, vol. 50, no. 50, 2011.