大连理工大学信息与通信工程学院导师教师信息介绍简介-李培华

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教授博士生导师硕士生导师
主要任职：无
性别：男
毕业院校：哈尔滨工业大学
学位：博士
在职信息：在职
所在单位：信息与通信工程学院
联系方式：http://peihuali.org
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个人简介

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李培华，教授，博士生导师，现任职于大连理工大学信息与通信工程学院. 2003年获哈尔滨工业大学计算机应用技术专业博士学位，之后在法国INRIA/IRISA，Rennes从事博士后研究. 2011年入选教育部新世纪优秀人才支持计划, 获得黑龙江省青年科技奖和全国优秀博士学位论文提名奖等荣誉. 所指导的团队于2018年获大规模精细粒度iNaturalist物种挑战赛@FGVC5 CVPR2018冠军(1/59), 2015年获阿里巴巴大规模图像搜索竞赛第2名(2/843), 2008年获虹膜识别国际评测NICE第4名(4/97). 研究内容包括深度学习、计算机视觉和模式识别，主要研究兴趣为图像/视频识别、目标检测和语义分割. 作为项目负责人，主持包括国家自然科学基金、教育部科学技术重点项目和企业合作项目等十几项. 在权威国际期刊如IEEE TPAMI/TIP/TCSVT、PR及权威国际会议ICCV/CVPR/ECCV发表几十篇论文.

教育经历

1999.9--2002.12
哈尔滨工业大学计算机应用技术博士

工作经历

2012.11--至今
大连理工大学信息与通信工程学院教授

研究方向

我们的研究目标是通过模式识别和机器学习理论解决图像处理和计算机视觉中具有挑战性的问题. 当前的研究兴趣是基于统计学习和深度学习的大规模图像分类和检索、基于视频的行为识别、语义分割，以及生物特征识别主要包括人脸识别和虹膜识别等。我们致力于在顶尖的国际期刊如IEEE TPAMI、IEEE TIP、IEEE TCSVT、PR等和顶尖的国际会议如ICCV、CVPR、NIPS发表学术论文展示我们的研究成果，与此同时致力于通过与公司和企业合作将研究成果转化为实际的产品。

研究领域

完整论文列表及论文下载,请参加网址 http://peihuali.org/Publications_ch.html

最近发表的部分期刊论文(*通讯作者)

Li Peihua*, Wang Qilong, Zeng Hui, Zhang Lei. Local Log-Euclidean multivariate Gaussian descriptor and its application to image classification. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 39(4):803-817, 2017. (CCF A类, SCI IF: 8.329)
Li Peihua*, Zeng Hui, Wang Qilong, Simon C. K. Shiu, Zhang Lei. High-order local pooling and encoding Gaussians over a dictionary of Gaussians. IEEE Trans. on Image Processing (TIP), 26(7):3372-3384, 2017. (CCF A类, SCI IF: 4.828)
Wang Qilong, Lu Xiaoxiao, Li Peihua*, Gao Zhenguo, Piao Yongri. An information geometry based distance between high-dimensional covariances for scalable classification. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), online at https://doi.org/10.1109/TCSVT.2017.**, 2018. (CCF B类, SCI IF: 3.599)
Hao Hua, Wang Qilong, Li Peihua*, Zhang Lei. Evaluation of ground distances and featuresin EMD-based GMM matching for texture classification. Pattern Recognition (PR), 59(9):152-163, 2016. (CCF B类, SCI IF: 4.582)
Wang Qilong, Li Peihua*, Zhang Lei, Zuo Wangmeng. Towards effective codebookless model for image classification. Pattern Recognition (PR), 59:63-71, 2016. (CCF B类, SCI IF: 4.582)

最近发表的部分国际会议论文(*通讯作者)
Li Peihua*, Xie Jiangtao, Wang Qilong and Gao Zilin. Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), pp.947-955, 2018. (CCF A类)
Li Peihua*, Xie Jiangtao, Wang Qilong, Zuo Wangmeng. Is second-order information helpful for large-scale visual recognition? In IEEE Int. Conf. on Computer Vision (ICCV), pp. 2070-2078, 2017. (CCF A类)
Wang Qilong, Li Peihua*, Zhang Lei. G2DeNet: global Gaussian distribution embedding network and its application to visual recognition. In IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 2730-2739, 2017. (CCF A 类, 口头报告, 录用率:71/2680=2.65%)
Wang Qilong, Li Peihua*, Zuo Wangmeng, Zhang Lei. RAID-G: robust estimation of approximate infinite dimensional Gaussian with application to materiel recognition. In IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 4433-4441, 2016. (CCF A 类)
Li Peihua*, Lu Xiaoxiao, Wang Qilong. From dictionary of visual words to subspaces: Locality-constrained affine subspace coding. In IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 2348-2357, 2015. (CCF A 类)
Yan Hongliang, Ding Yukang, Li Peihua, Wang Qilong, Yong Xu, Zuo Wangmeng. Mind the class weight bias: weighted maximum mean discrepancy for unsupervised domain adaptation. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2272-2281, 2017. (CCF A 类)

论文成果More>>

Li, Peihua,Zeng, Hui,Wang, Qilong,Shiu, Simon C. K.,Zhang, Lei.High-Order Local Pooling and Encoding Gaussians Over a Dictionary of Gaussians[J],IEEE TRANSACTIONS ON IMAGE PROCESSING,2017,26(7):3372-3384
Li, Peihua,Wang, Qilong,Zeng, Hui,Zhang, Lei.Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification[J],IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2017,39(4):803-817
李培华.G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition[A],2017,2730-2739
Li, Peihua,Xie, Jiangtao,Wang, Qilong,Zuo, Wangmeng.Is Second-order Information Helpful for Large-scale Visual Recognition?[A],2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV),2017,2017-October:2089-2097
Wang, Qilong,Li, Peihua,Zhang, Lei,Zuo, Wangmeng.Towards effective codebookless model for image classification[J],PATTERN RECOGNITION,2016,59(,SI):63-71
Hao, Hua,Wang, Qilong,Li, Peihua,Zhang, Lei.Evaluation of ground distances and features in EMD-based GMM matching for texture classification[J],PATTERN RECOGNITION,2016,57:152-163

专利

一种大规模数据背景下的快速有效的图像检索方法

著作成果

暂无内容

科研项目

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研究领域

当前位置: Official website ... >> 科学研究 >> 研究领域

完整论文列表及论文下载,请参加网址 http://peihuali.org/Publications_ch.html

最近发表的部分期刊论文(*通讯作者)

Li Peihua*, Wang Qilong, Zeng Hui, Zhang Lei. Local Log-Euclidean multivariate Gaussian descriptor and its application to image classification. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 39(4):803-817, 2017. (CCF A类, SCI IF: 8.329)
Li Peihua*, Zeng Hui, Wang Qilong, Simon C. K. Shiu, Zhang Lei. High-order local pooling and encoding Gaussians over a dictionary of Gaussians. IEEE Trans. on Image Processing (TIP), 26(7):3372-3384, 2017. (CCF A类, SCI IF: 4.828)
Wang Qilong, Lu Xiaoxiao, Li Peihua*, Gao Zhenguo, Piao Yongri. An information geometry based distance between high-dimensional covariances for scalable classification. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), online at https://doi.org/10.1109/TCSVT.2017.**, 2018. (CCF B类, SCI IF: 3.599)
Hao Hua, Wang Qilong, Li Peihua*, Zhang Lei. Evaluation of ground distances and featuresin EMD-based GMM matching for texture classification. Pattern Recognition (PR), 59(9):152-163, 2016. (CCF B类, SCI IF: 4.582)
Wang Qilong, Li Peihua*, Zhang Lei, Zuo Wangmeng. Towards effective codebookless model for image classification. Pattern Recognition (PR), 59:63-71, 2016. (CCF B类, SCI IF: 4.582)

最近发表的部分国际会议论文(*通讯作者)
Li Peihua*, Xie Jiangtao, Wang Qilong and Gao Zilin. Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), pp.947-955, 2018. (CCF A类)
Li Peihua*, Xie Jiangtao, Wang Qilong, Zuo Wangmeng. Is second-order information helpful for large-scale visual recognition? In IEEE Int. Conf. on Computer Vision (ICCV), pp. 2070-2078, 2017. (CCF A类)
Wang Qilong, Li Peihua*, Zhang Lei. G2DeNet: global Gaussian distribution embedding network and its application to visual recognition. In IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 2730-2739, 2017. (CCF A 类, 口头报告, 录用率:71/2680=2.65%)
Wang Qilong, Li Peihua*, Zuo Wangmeng, Zhang Lei. RAID-G: robust estimation of approximate infinite dimensional Gaussian with application to materiel recognition. In IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 4433-4441, 2016. (CCF A 类)
Li Peihua*, Lu Xiaoxiao, Wang Qilong. From dictionary of visual words to subspaces: Locality-constrained affine subspace coding. In IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 2348-2357, 2015. (CCF A 类)
Yan Hongliang, Ding Yukang, Li Peihua, Wang Qilong, Yong Xu, Zuo Wangmeng. Mind the class weight bias: weighted maximum mean discrepancy for unsupervised domain adaptation. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2272-2281, 2017. (CCF A 类)

论文成果

当前位置: Official website of Peihua Li >> 科学研究 >> 论文成果

[1] Li, Peihua,Zeng, Hui,Wang, Qilong,Shiu, Simon C. K.,Zhang, Lei.High-Order Local Pooling and Encoding Gaussians Over a Dictionary of Gaussians[J],IEEE TRANSACTIONS ON IMAGE PROCESSING,2017,26(7):3372-3384
[2] Li, Peihua,Wang, Qilong,Zeng, Hui,Zhang, Lei.Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification[J],IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2017,39(4):803-817
[3] 李培华.G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition[A],2017,2730-2739
[4] Li, Peihua,Xie, Jiangtao,Wang, Qilong,Zuo, Wangmeng.Is Second-order Information Helpful for Large-scale Visual Recognition?[A],2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV),2017,2017-October:2089-2097
[5] Wang, Qilong,Li, Peihua,Zhang, Lei,Zuo, Wangmeng.Towards effective codebookless model for image classification[J],PATTERN RECOGNITION,2016,59(,SI):63-71
[6] Hao, Hua,Wang, Qilong,Li, Peihua,Zhang, Lei.Evaluation of ground distances and features in EMD-based GMM matching for texture classification[J],PATTERN RECOGNITION,2016,57:152-163
[7] 李培华.RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Materiel Recognition[A],2016,4433-4441
[8] 朴永日,李培华,张淼.Resolution enhanced three-dimensional photon counting integral imaging[A],2016
[9] Li, Peihua.Manifold Kernel Sparse Representation of Symmetric Positive-Definite Matrices and Its Applications[J],IEEE TRANSACTIONS ON IMAGE PROCESSING,2015,24(11):3729-3741
[10] Yang, Guanglei,Zeng, Hui,Li, Peihua,Zhang, Lei.HIGH-ORDER INFORMATION FOR ROBUST IRIS RECOGNITION UNDER LESS CONTROLLED CONDITIONS[A],IEEE International Conference on Image Processing (ICIP),2015,2015-December:4535-4539
[11] Li, Peihua,Lu, Xiaoxiao,Wang, Qilong.From Dictionary of Visual Words to Subspaces: Locality-constrained Affine Subspace Coding[A],IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2015,07-12-June-2015:2348-2357
[12] 李培华,吴国龙,马宏伟.基于非局部区域关联和概率建模的虹膜识别方法[J],电子学报,2014,42(12):2379-2385
[13] Wang, Qilong,Zuo, Wangmeng,Zhang, Lei,Li, Peihua.Shrinkage Expansion Adaptive Metric Learning[A],13th European Conference on Computer Vision (ECCV),2014,8695(PART 7):456-471
[14] Li, Peihua,Wang, Qilong,Zuo, Wangmeng,Zhang, Lei.Log-Euclidean Kernels for Sparse Representation and Dictionary Learning[A],IEEE International Conference on Computer Vision (ICCV),2013,1601-1608
[15] 李培华.Tensor-SIFT based Earth Movers Distance for Contour Tracking[J],Journal of Mathematicla Imaging and Vision,2013,46(1):44-65
[16] 李培华.A Novel Earth Movers Distance Methodology for Image Matching with Gaussian Mixture Models[A],IEEE International Conference on Computer Vision,2013,1689-1696
[17] 李培华.Multiattribute Decision Making Based on Entropy under Interval-Valued Intuitionistic Fuzzy Environment[J],Mathematical Problems in Engineering,2013,526871:1-8
[18] 完整论文列表及论文、数据和源代码下载, 请参加网址 http://peihuali.org/Publications_ch.html,2019

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专利

当前位置: Official website of Peihua Li >> 科学研究 >> 专利

[1]一种大规模数据背景下的快速有效的图像检索方法

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著作成果

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教学资源

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授课信息More>>

计算机视觉 /2019-2020 /春学期 /32课时 /2.0学分 /**
计算机视觉 /2019-2020 /春学期 /32课时 /2.0学分 /**
计算机视觉 /2019-2020 /春学期 /32课时 /2.0学分 /**
计算机视觉 /2019-2020 /春学期 /32课时 /2.0学分 /**
计算机视觉 /2019-2020 /春学期 /32课时 /2.0学分 /**
随机信号分析 /2019-2020 /秋学期 /40课时 /2.5学分 /**

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授课信息

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本科生课程

课程名称学年学期学时学分课程号计算机视觉 2019-2020 春学期 32 2 ** 计算机视觉 2019-2020 春学期 32 2 ** 随机信号分析 2019-2020 秋学期 40 2.5 ** 随机信号分析 2019-2020 秋学期 40 2.5 ** 计算机视觉 2018-2019 春学期 32 2 ** 随机信号分析 2018-2019 秋学期 40 2.5 ** 数据结构（双语） 2017-2018 春学期 44 2.5 **

研究生课程

课程名称学年学期学时学分课程号计算机视觉 2019-2020 春学期 32 2 ** 计算机视觉 2019-2020 春学期 32 2 ** 计算机视觉 2019-2020 春学期 32 2 ** 计算机视觉 2018-2019 春学期 32 2 ** 计算机视觉 2017-2018 春学期 32 2 **

教学成果

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学术荣誉

教育部"新世纪优秀人才支持计划"入选者

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