师资队伍

于腾

2020-04-08  点击:[]

于腾,男,1988年生,博士、副教授、硕士生导师。现任电子信息学院院长助理,青岛大学人工智能与计算机视觉实验室主任,青岛市发改委工程咨询院评审专家。近年来,在国际著名人工智能与计算机视觉领域发表SCI论文20余篇,并担任IEEE和IET旗下多个知名期刊审稿人。主持和参与国家级项目4项,省部级项目2项目,产业合作项目7项。主要从事人工智能、机器学习、计算机视觉、自动驾驶等领域的研究工作。相关产业研究致力于基于成像视觉的AI算法模型的设计和定制场景的部署落地, 包括AI模型设计、以及在服务器端和嵌入式移动端(华为、高通、NVIDIA等芯片)的部署,可以实现各种工业和服务业场景的个性化定制。算法设计和部署包括图像增强、去雾去噪、超分变率;人脸检测和识别、行人检测、车辆检测、火灾检测、以及各种定制场景的目标检测;监控场景的实时监测和预警,包括异常行为事件检测、越界检测、人群聚集检测等等。研究成果已经在包括智慧监控、AI养殖、智能安防等多个公司应用场景落地使用。

电子邮箱:yutenghit@foxmail.com

个人网站:https://yuteng.github.io/index-cn.html

课题介绍:https://yuteng.github.io/projects.html

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

讲授课程:

本科:《数字图像处理》 《算法与数据结构》

硕士:《深度学习》

研究方向与课题:

人工智能与计算机视觉相关领域的理论研究与应用,具体包括但不限于

-用于无人驾驶的视频检测技术

车辆和行人自动检测(Vehicle and Pedestrian Detection)

路标自动识别(Road Marking Detection)

疲劳驾驶智能检测(Yawning Detection)

-通用数字图像处理与识别技术

表情识别(Emotion Recognition)

图像去雾霾(Image Dehazing)

全景图成像(Panorama)

HDR成像和色调映射(HDR Imaging and Tone Mapping)

-基于视频监控的智能安防技术

火灾检测(Fire Flame and Smoke Detection)

人群密度监控(Dense Crowd Counting)

监控异常检测(Anomaly Detection in Surveillance Videos)

第一或通信作者论文(*为通信作者)

- Qingqing Chao, Jinqiang Yan, Tianmeng Sun, Silong Li, Jieru Chi, Guowei Yang, Chenglizhao Chen, Teng Yu*, Instance-aware image dehazing,Engineering Applications of Artificial Intelligence,Volume 133,2024.(SCI二区,Top)

- Shengrui Zang, Min Chen, Zhenhua Ai, Jieru Chi, Guowei Yang, Chenglizhao Chen, Teng Yu*, Texture-aware gray-scale image colorization using a bistream generative adversarial network with multi scale attention structure,Engineering Applications of Artificial Intelligence,Volume 122,2023.(SCI二区,Top)

- Min Chen, Shengrui Zang, Zhenhua Ai, Jieru Chi, Guowei Yang, Chenglizhao Chen, Teng Yu*, RFA-Net: Residual feature attention network for fine-grained image inpainting,Engineering Applications of Artificial Intelligence, Volume 119, 2023.(SCI二区,Top)

- 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.(SCI)

- 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.(SCI二区)

- 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.(SCI二区)

- 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.(SCI)(SCI二区)

- Q. Ma, T.Y. Pei, T. Yu*, " Single Image Dehazing using Sky Adaptive Fusion," 2019 4nd International Conference on Image, Vision and Computing (ICIVC), Xiamen, 2019.(EI)

- T.Y. Pei, Q. Ma, T. Yu*, " Nighttime Haze Removal using Bilateral Filtering and Adaptive Dark Channel Prior," 2019 4nd International Conference on Image, Vision and Computing (ICIVC), Xiamen, 2019.(EI)

- 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.(SCI)

- 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.(SCI)

- 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.(SCI)

- 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.(SCI)



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