Yu Teng 于腾
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Associate Professor School of Electronic and Information Engineering, Qingdao University, P.R. China yutenghit@foxmail.com |
About Me
Yu Teng received the B.S.degree in communication engineering from Harbin Institute of Technology, China, in 2006, and the Ph.D. degree from Hanyang University, South Korea, in 2015. From 2015 to 2018, he was an Assistant Professor with the Communication Engineering Department, Qingdao Univeristy. Since 2019, he has been an Assosiate Professor with the Electronic Engineering Department, Qingdao University. His current research interests include artificial intelligence, computer vision, and image processing.
Publications
- C. Chen, H. Zhao, H. Yang, T. Yu*, Full-reference Screen Content Image Quality Assessment by Fusing Multilevel Structure Similarity. ACM Trans. Multimedia Comput. Commun. Appl. 17, 3, 2021.
- 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 8(2020):113318-113330.
- 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.
- 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.