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蔡磊

时间:2022-05-15   来源:    阅读:

 蔡磊 讲师

 华南理大大学

 研究方向: 机器视觉、模式识别


个人简历:


1、个人简介

本人长期从事机器视觉和图像处理方面的研究工作,在IEEE Transactions on Circuits and Systems for Video Technology、IEEE Internet of Things Journal、IEEE Transactions on Signal Processing、Neurocomputing、Signal Processing等国际著名期刊发表过学术论文10余篇,授权发明专利3项。曾参与过广东省自然科学基金,担任过IEEE Transactions on Image Processing、IEEE Transactions on Circuits and Systems for Video Technology、IET Electronics Letters等期刊的审稿人。科研观:保持好奇、批判思考、自我驱动、反复训练。


2、主讲课程:智能搜索引擎


3、代表性论著

[1] L. Cai, Y. L. Fu, T. Zhu, Y. J. Xiang, Y. Zhang, H. Q. Zeng, “JointDepth and Density Guided Single Image De-raining,” IEEE Transactions on Circuits and Systems for Video Technology, vol.32, no.7, pp.4108-4121, 2022.

[2] L. Cai, Y. L. Fu, W. L. Huo, Y. J. Xiang, T. Zhu, Y. Zhang and H. Q. Zeng, “Multi-scale Attention Image De-raining Networks via Neural Architecture Search,”  IEEE Transactions on Circuits and Systems for Video Technology, vol.33, no.2, pp. 618-633, 2023.

[3] L. Cai, H. Q. Zeng, J. Q. Zhu, J. W. Cao, Y. T. Wang, K.-K. Ma, “Cascading Scene and Viewpoint Feature Learning for Pedestrian Gender Recognition,” IEEE Internet of Things Journal, vol.8, no.4, pp.3014-3026, 2021.

[4] L. Cai, Y. L. Fu, T. Zhu, Y. J. Xiang, H. Q. Zeng, “Proximal-Gen for Fast Compressed Sensing Recovery,” Journal of Visual Communication and Image Representation, vol.82, 103358, 2022.

[5] L. Cai, J. Q. Zhu, H. Q. Zeng, J. Chen, C. H. Cai, K.-K. Ma, “HOG-Assisted Deep Feature Learning for Pedestrian Gender Recognition,” Journal of the Franklin Institute-Engineering and Applied Mathematics, vol.355, no. 4, pp.1991-2008, 2018.

[6] Yuli Fu, Tao Zhu, Youjun Xiang, Zhen Chen, Lei Cai, “Stability Analysis of -Norm Based Convolutional Sparse Coding Using Stripe Coherence,IEEE Transactions on Signal Processing, vol.68, pp.5810-5823, 2020.

[7] Lu Xing, Lei Cai, Huanqiang Zeng, Jing Chen, Jianqing Zhu, Junhui Hou, “A Multi-scale Contrast-based Image Quality Assessment Model for Multi-Exposure Image Fusion,” Signal Processing, vol. 145, pp. 233-240, 2018.

[8] Jinhui Hou, Huanqiang Zeng, Lei Cai, Jianqing Zhu,Jing Chen,Kai-Kuang Ma,“Multi-label Learning with Multi-label Smoothing Regularization for Vehicle Re-identification,” Neurocomputing, vol. 345,pp. 15-22, 2019.

[9] Ying Zhang, Youjun Xiang, Lei Cai, Yuli Fu, Wangliang Huo, Junjun Xia, “Single Image De-raining with High-low Frequency Guidance,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2330-2334, 2022.

[10] Yufeng Tan, Youjun Xiang, Lei Cai, Pengcheng Wang, Ying Zhang, Yuli Fu, “Two-Stage Video De-Raining with Spatio-Temporal Fusion and Illumination-Invariant Detail Preservation,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1-5, 2023.

[11] Xianfeng Li, Zichun Weng, Juntao Liang, Lei Cei, Youjun Xiang, Yuli Fu, “A novel two-pathway encoder-decoder network for 3D face reconstruction,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3682-3686, 2020.


4、发明专利

1. 曾焕强; 蔡磊; 朱建清; 曹九稳; 张云; 马凯光; 一种基于场景迁移的行人性别识别方法,2023-03-24, 中国, ZL201810426492.9

2. 曾焕强; 蔡磊; 陈婧,朱建清; 曹九稳; 王勇涛; 一种基于视角自适应特征学习的行人性别识别方法,2023-03-31, 中国, ZL201911370041.9

3.曾焕强,蔡磊,朱建清,曹九稳,蔡灿辉,马凯光,一种基于超限学习机和颜色特征融合的行人性别识别方法,2018-01-16, 中国,ZL201510356968.2


5、奖励与荣誉

1.蔡磊、周亭亭、陈素芳、郭云鹏、吴汉帮、盛羽熙,智能跟随载物车,第十三届大学生挑战杯全国二等奖,共青团中央,2013

2.蔡磊,基于卷积神经网络的行人性别识别,福建省优秀硕士学位论文,福建省学位委员会,2019