个人简介
刘威，男，1991年生，副教授。2020年于国防科技大学电子科学学院获得工学博士学位。2023年9月加入常熟理工学院计算机科学与工程学院，从事教学与科研工作。
主要研究兴趣包括模式识别、计算机视觉和多模态深度学习及应用等。目前已在《pattern recognition》《ieee transactions on image processing》《ieee transaction on circuits and system for video technology》等国际知名期刊和《cvpr》《eccv》等计算机视觉领域顶级会议以第一作者身份发表论文7篇，google学术累计引用764次，h-index为7，单篇最高引用409次，申请国家发明专利5项，已获授权1项.
研究方向
计算机视觉，多模态深度学习及应用
主要承担的教学课程
数字图像处理
代表性学术成果
期刊论文：
[1] wei liu; irtiza hasan; shengcai liao ; center and scale prediction: a box-free approach for pedestrian and face detection, pattern recognition, 2023, 135: 109071
[2] wei liu; shengcai liao; weidong hu ; efficient single-stage pedestrian detector by asymptotic localization fitting and multi-scale context encoding, ieee transactions on image processing, 2019.冬季, 29(99): 1413-1425
[3] wei liu; shengcai liao; weidong hu ; perceiving motion from dynamic memory for vehicle detection in surveillance videos, ieee transactions on circuits & systems for video technology, 2019.春季, 29(12): 3558-3567
[4] wei liu, shengcai liao, weidong hu. "towards accurate tiny vehicle detection in complex scenes". neurocomputing, 2019
会议论文：
[5] wei liu; shengcai liao; weiqiang ren; weidong hu; yinan yu ; high-level semantic feature detection: a new perspective for pedestrian detection, ieee international conference on computer vision and pattern recognition (cvpr), long beach, ca, usa, 2019
[6] wei liu; shengcai liao; weidong hu; xuezhi liang; xiao chen ; learning efficient single- stage pedestrian detection by asymptotic localization fitting, european conference on computer vision (eccv), munich, germany, 2018
[7] wei liu, shengcai liao, weidong hu, xuezhi liang, yan zhang. improving tiny vehicle detection in complex scenes. ieee international conference on multimedia and expo (icme), 2018: 1-6
发明专利：
[1] 廖胜才; 刘威 ; 基于动态记忆和运动感知的目标检测方法及系统, 2019-01-11, 中国, cn201811028891.6
k8凯发app下载的联系方式
email：liuwei@cslg.edu.cn
