
|
魏宪 |
性别 男 |
系别 电子信息工程系 |
学位 博士 |
职称 研究员 |
职务 课题组长 |
详细资料
联系方式
通讯地址:福建省晋江市罗山街道苏内社区溪东路166号泉州装备制造研究所
邮 编:362200
Email:xian.wei@fjirsm.ac.cn
主要学历及工作经历
2004.9-2008.7北京交通大学就读自动化专业获得本科学历
2008.9-2011.3上海交通大学就读模式识别与智能系统专业获得工学硕士学历
2011.10-2017.4德国慕尼黑工业大学就读计算机工程专业获得工学博士学历
2017年至今在中国科学院海西研究院(中科院福建物质结构研究所)泉州装备制造研究所担任课题组组长、研究员
主要学术及社会兼职
IEEE,ACM,IMS,ICST会员
T-PAMI,T-IP, PR, TNNLS, CVPR2016&2017, ICASSP2017审稿人
研究领域
模式识别与智能系统、智能驾驶感知与决策系统
承担科研课题情况
中国科学院率先行动“百人计划”青年项目.人字[2019]85号.中国科学院.2020.1-2022.12. 260万元.
中国科学院率先行动“百人计划”青年项目备案.2017-122.中国科学院.2017.7-2019.6 .80万元.
基于双层正交投影与稀疏字典学习的图像低维判别表示算法研究 .61806186.国家自然科学基金.2019.1-2021.12. 21万元.
智能网联汽车信息融合处理与车-车协同的关键技术研发.2019C112.泉州市科技局一带一路对外合作项.2019.6-2020.6. 50万元.
智能物流产业技术研究院-子项目-室外物流机器人多模态识别系统 .2018H21010004.福建省科技厅-平台.2018.1-2020.12. 50万元.
福建省智能车与车联网产业发展研究.福建省工业和信息化厅. 2019.6-2019.11. 10万元.
基于低维表征学习的机器人动态环境感知技术研究.SKLRS-2019-KF-15 .机器人技术与系统国家重点实验室.2019.1-2020.12. 8万元.
基于多尺度卷积神经网络人脸识别的场景应用——课堂考勤. 2019350506000021. 企业委托项目. 2019.1-2020.1. 50万元.
高性能伺服电机系统研制-子课题-基于在线数据分析的电机故障诊断 .CXZX-2018-Q01.中科院海西院“前瞻跨越”计划. 2019.1-2021.12. 20万元.
基于深度学习的智能卫裤分类系统.2018350506000038.企业委托项目.2018.5-2018.12. 20万元.
出版著作和论文
1. Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations Image Representations. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2019.DOI:10.1109/TPAMI.2019.2921031.
2. Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning. IEEE Transactions on Neural Network and Learning System. 2018. Vol.30(1). PP: 175-189.
3. Dynamical Texture Modeling via Joint Video Dictionary Learning. IEEE Transactions on Image Processing. 2017.Vol.26(6).pp:2929–2943.
4. Joint Learning Sparsifying Linear Transformation for Low-Resolution Image Synthesis and Recognition. Pattern Recognition 2017 Vo 66 pp 412-424.
5. Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations. IEEE Conference on Computer Vision and Pattern Recognition (CVPR2016).2016.pp:5268-5277.
6. CNN tracking based on data augmentation. Knowledge-Based Systems. 2020.Vol.194.
7. Robust fusion for RGB-D tracking using CNN features. Applied Soft Computing.2020.Vol.92.
8. Feature Selection with Multi-view Data: A Survey. Information Fusion.2019.Vol.50.pp:158-167.
9. Joint Learning of Fuzzy K-Means with Nonnegative Spectral Clustering with Side Information. IEEE Transactions on Image Processing.2019.Vol.28(5).pp: 2152-2162.
10. Detection based visual tracking with convolutional neural network. Knowledge-Based Systems.2019.Vol.17.pp:62-71.
11. Adaptive model updating for robust object tracking. Signal Processing: Image Communication.2019.Vol.80.
12. Robust visual tracking based on response stability. Engineering Applications of Artificial Intelligence.2019.Vol.85.137-149.
13. Discriminative Features Based on Two Layers Sparse Learning for Glacier Area Classification Using SAR Intensity Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.2019. Vol.10(7). pp:3200-3212.
14. Comparison of Laguerre-Gaussian and donut modes for MDM-WDM in OFDM-Ro-FSO Transmission System. AEU - International Journal of Electronics and Communications.2018. Vol.93. pp:208-214.
15. Empirical Evaluation of High-speed Cost-effective Ro-FSO System by Incorporating OCDMA-PDM Scheme under the Presence of Fog. Journal of Optical Communications.2020. DOI: https://doi.org/10.1515/joc-2019-0277.
16. UAV tracking based on saliency detection. Soft Computing. 2020. 1-14.
17. Prediction of Experimental Rainfall-Eroded Soil Area Based on S-Shaped Growth Curve Model Framework. Applied Sciences.2015. Vol.5(3). pp:157-173.
18. A robust visual tracking method via local feature extraction and saliency detection. The Visual Computer.2020. 36(4): 683-700.
19. Empirical evaluation of propagation of LP 01 and LP 02 modes over solid-core photonic crystal fibre. Laser Physics.2018. Vol.28(10).pp:105-106.
20. 0 Gbps–80 GHz PSK-MDM based Ro-FSO transmission system. Optical and Quantum Electronics.2018. Vol.50(8). pp:321-336.
21. A cost-effective 100 Gbps SAC-OCDMA--PDM based inter-satellite communication link. Optical and Quantum Electronics.2019. Vol.51(5).pp:148.
22. Joint learning dictionary and discriminative features for high dimensional data. IEEE International Conference on Pattern Recognition (ICPR).2016. DOI: 10.1109/ICPR.2016.7899661.
23. An adaptive dictionary learning approach for modeling dynamical textures. The 39th IEEE International Conference on Acoustics. Speech. and Signal Processing (ICASSP).2014. pp:3567–3571.
24. 基于字典学习的非线性降维方法. 自动化学报.2016. Vol.42(7). pp:1065-1076.
25. 嵌入式深度神经网络高光谱图像聚类. 中国图形图像学报.2020. 25(1):193-205.
指导硕士生研究方向
模式识别与智能系统