个人简介
教育背景
2000.09至2005.07 中国科学院研究生院,计算机应用,博士
1997.09至2000.03 河北工业大学,计算机科学与技术系,计算机应用,硕士
1993.09至1997.06 河北工业大学,计算机科学与技术系,计算机应用,学士
任职经历
2019.05至今 鹏城实验室人工智能研究中心,智能交通总师,副研究员
2009.01至今 北京大学数字视频编解码技术国家工程实验室,客座副研究员
2019.03至2019.05 北京大学深圳研究生院,特聘研究员
2018.03至2019.05 鹏城实验室人工智能研究中心,智能交通总师,双聘副研究员
2005.07至2019.03 北京理工大学,讲师
2014.08至2015.08 伦敦玛丽女王大学,访问学者
研究领域
多媒体内容分析与理解、机器学习、 智能交通
主持、参与项目
负责鹏城实验室人工智能中心智能交通项目工作。
主持国家自然科学基金面上2项,参加自然科学基金重点项目、973、863计划等国家、省部及企业合作科研项目20余项。
主持的项目如下:
1. 监控视频大数据中表观相似对象的判别式再标识方法与技术,国家自然科学基金面上项目,61471042,2015.01—2018.12
2. 监控视频中多视关联的显著运动对象检测与跟踪技术研究,国家自然科学基金面上项目,61072095,2011.01—2013.12
近期论文
查看导师新发文章
(温馨提示:请注意重名现象,建议点开原文通过作者单位确认)
1. Peixi Peng, Yonghong Tian*, Tao Xiang, Yaowei Wang*, Massimiliano Pontil, Tiejun Huang, Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 7, pp. 1625-1638, July 2018
2. Yemin Shi, Yonghong Tian*, Yaowei Wang*, Tiejun Huang, Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN, IEEE Transactions on Multimedia,19(7), Jul 2017, 1510-152.
3. Peixi Peng, Yonghong Tian*, Yaowei Wang*, Jia Li, Tiejun Huang, Robust Multiple Cameras Pedestrian Detection with Multi-view Bayesian Network, Pattern Recognition, 48(5), May 2015, Pages 1760–1772.
4. Yonghong Tian, Yaowei Wang*, Zhipeng Hu, Tiejun Huang, Selective Eigenbackground for Background Modeling and Subtraction in Crowded Scenes, IEEE Transactions on Circuits and Systems for Video Technology, 23(11), 2013, 1849-1864.
5. Yaowei Wang*, Limin Su, Yonghong Tian. KernelRank: Exploiting Semantic Linkage Kernels for Relevant Pages Finding. Chinese Journal of Electronics, 18(3) , 2009, 405-410.
6. Peixi Peng, Tao Xiang, Yaowei Wang*, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, Yonghong Tian*, Unsupervised Cross-Dataset Transfer Learning for Person Re-identification, Proc. IEEE Conf. Computer Vision and Pattern Recognition, Las Vegas, NV, USA, Jun, 2016.
7. Hongye Liu, Yonghong Tian*, Yaowei Wang*, Lu Pang, Tiejun Huang, Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles, Proc. IEEE Conf. Computer Vision and Pattern Recognition, Las Vegas, NV, USA, Jun, 2016.
8. Peixi Peng, Yonghong Tian*, Yaowei Wang*, Tao Xiang, Tiejun Huang, Joint learning of Semantic and Latent Attributes, Proc. 14th European Conference on Computer Vision, Amsterdam, The Netherlands, 8 – 16 October 2016.
9. Yemin Shi, Yonghong Tian*, Yaowei Wang*, Tiejun Huang, Learning long-term dependencies for action recognition with a biologically-inspired deep network, ICCV 2017.
10. Ke Yan, Yonghong Tian*, Yaowei Wang*, Wei Zeng, Tiejun Huang, Exploiting Multi-Grain Ranking Constraints for Precisely Searching Visually-similar Vehicles, ICCV 2017.