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刘伟

 


刘伟 博士


虚拟现实与交互技术研究院全职研究员

邮件地址:weiliu@ecjtu.edu.cn




1. 简介

博士,硕士研究生导师,华东交通大学天佑新星。20156月毕业于厦门大学信息科学与技术学院人工智能专业。2009年开始致力于研究模式识别和机器学习在计算机视觉领域的应用。当前研究的侧重点是计算机视觉在智能交通领域中的应用包括车辆细粒度分类和车辆重再识别等主持多项科研项目,包括国家自然科学基金地区项目、江西省自然科学基金青年项目和江西省教育厅科学技术项目青年项目等。

2. 主要的研究方向

模式识别和机器学习在计算机视觉上的应用。

3. 主要的学术论文

(1)期刊论文

[1] Liu W., Luo Z.*, Cai Y., Li S., Fine-Grained Vehicle Recognition Using Deep Learning and Geometry from a Single Image,  IEEE Transactions on Intelligent Transportation Systems, 2018 。(SCI二区, CCF-B类,二审

[2]Liu, W., Luo, Z., & Li, S. (2018). Improving deep ensemble vehicle classification by using selected adversarial samples. Knowledge-Based Systems, 160, 167–175.SCI二区, CCF-C类)

[3]Liu, W., Zhang, M., Luo, Z., & Cai, Y. (2017). An ensemble deep learning method for vehicle type classification on visual traffic surveillance sensors. IEEE Access, 5, 24417–24425. SCI二区)

[4]Liu, W., Li, S., Cao, D., Su, S., & Ji, R. (2016). Detection based object labeling of 3d point cloud for indoor scenes. Neurocomputing, 174, 1101–1106. SCI二区,CCF类)

[5]Liu, W., Li, S., Lin, X., Wu, Y., & Ji, R. (2016). Spectral–spatial co-clustering of hyperspectral image data based on bipartite graph. Multimedia Systems, 22(3), 355–366. SCI三区,CCF-C类)

(2)会议论文

[1] Liu, W., Ji, R., & Li, S. (2015). Towards 3d object detection with bimodal deep Boltzmann machines over rgbd imagery. In Proceedings of the ieee conference on computer vision and pattern recognition(CVPR) (pp. 3013–3021). IEEE. CCF-A类)

[2] Liu, W., Cai, Y., Zhang, M., Li, H., & Gu, H. (2016, December). Scene background estimation based on temporal median filter with gaussian filtering. In Pattern Recognition (ICPR), 2016 23rd International Conference on (pp. 132-136). IEEE.CCF-C类)


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