许鹏飞

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职称:副教授/硕士生导师

个人简介:

2014年获西安电子科技大学计算机学院计算机应用技术专业工学博士学位。现就职于西北大学信息科学与技术学院,副教授。主要研究方向:图像处理,机器学习(深度学习——分类,自动生成网络),人脸识别,猴脸识别,表情识别,面瘫自动诊断。已发表论文46篇: SCI检索25篇,其中在图像处理领域顶级期刊 IEEE Transaction on Image Processing发表论文2篇,IJCAI 2018发表论文3篇,Neurocomputing发表论文4, JVCI发表论文2篇。发明专利19项,其中授权11项。

主持国家自然科学基金青年基金1项,陕西省自然科学基础研究计划-青年人才项目1项,中国博士后科学基金第59批面上资助1项,陕西省教育厅专项1项,陕西省博士后科研项目资助1项,陕西省博士后配套资助1项,西北大学科学研究基金资助项目1项。获2018年陕西省高校科协人才托举计划项目。2015年获西安市科学技术奖三等奖(排名第二)2017ACM西安新星奖。

Xu Pengfei, currently, is an associate professor of School of Information Science and Technology at Northwest University, Xi’an, China. He received the Ph.D. degree from Xidian University, Xi’an, China, in 2014. His research interests include computer vision and pattern recognition. He has published more than 40 papers in international journals and conferences, including IEEE TIPIEEE TGRS, IJCAI, Neurocomputing, and etc. He has applied for 16 invention patents, of which 5 are authorized, and completed the translation of "Computer Vision: Models, Learning and Reasoning". He has lead seven projects, including National Natural Science Foundation of China, Natural Science Basic Research Plan in Shaanxi Province of China, China Postdoctoral Science Foundation, and etc. He was awarded the Third Prize of Science and Technology Reward of Xi’an Government in 2015. In August 2017, his research on facial recognition and behavior analysis of Golden Monkey was interviewed by the Yellow River Connection.

科研成果:

主要发表论文:

2018

1. Xu P, Miao Q, Liu T, et al. Line separation from topographic maps using regional color and spatial information[C]//IJCAI. 2018: 3606-3612. CCF A类会议,人工智能顶会之一。

2. Xu P, Wang L, Guan Z, et al. Evaluating Brush Movements for Chinese Calligraphy: A Computer Vision Based Approach[C]//IJCAI. 2018: 1050-1056.  CCF A类会议,人工智能顶会之一。

3. Pengfei Xu, Jun Guo*, Feng Chen, Yun Xiao, Qishou Xia, Baoying Liu*. A general model for linear element extraction by utilizing shear transformation. Pattern recognition letters. 2018. Online.

4. Tiange Liu, Pengfei Xu*, Shihui Zhang. A Review of Recent Advances in Scanned Topographic Map Processing. Neurocomputing. 2018, Online.

5. Zhi Li, Jun Guo, Wenli Jiao, Pengfei Xu*, Random Linear Interpolation Data Augmentation for Person Re-identification, Multimedia Tools and Applications, 2018. Online.

6. Xu P, Guo S, Miao Q, et al. Face detection of golden monkeys via regional color quantization and incremental self-paced curriculum learning[J]. Multimedia Tools and Applications, 2018, 77(3): 3143-3170.

2016之前的论文

7. Miao Q, Xu P*, Li X, et al. The Recognition of the Point Symbols in the Scanned Topographic Maps[J]. IEEE Transactions on Image Processing, 2017, 26(6): 2751-2766.

8. Miao Q, Xu P*, Liu T, et al. Linear feature separation from topographic maps using energy density and the shear transform[J]. IEEE Transactions on Image Processing, 2013, 22(4): 1548-1558.

9. Xu P, Zheng X, Chang X, et al. Artistic information extraction from Chinese calligraphy works via Shear-Guided filter[J]. Journal of Visual Communication and Image Representation, 2016, 40: 791-807.

10. Xu P, Miao Q, Liu R, et al. Dynamic character grouping based on four consistency constraints in topographic maps[J]. Neurocomputing, 2016, 212: 96-106.

11. Xu P, Miao Q, Chen X, et al. Graphic-based character grouping in topographic maps[J]. Neurocomputing, 2016, 189: 160-170.  

12. Miao Q, Xu P*, Liu T, et al. A novel fast image segmentation algorithm for large topographic maps[J]. Neurocomputing, 2015, 168: 808-822.

13. Xu P, Miao Q, Shi C, et al. An edge detection algorithm based on the multi-direction shear transform[J]. Journal of Visual Communication and Image Representation, 2012, 23(5): 827-833.

14. Xu P, Miao Q, Shi C, et al. General method for edge detection based on the shear transform[J]. IET image processing, 2012, 6(7): 839-853.

15. Xu P, Miao Q, Tang X, et al. A denoising algorithm via wiener filtering in the shearlet domain[J]. Multimedia tools and applications, 2014, 71(3): 1529-1558.

16. Xu P, Long Y, Zheng D, et al. The Face-Tracking of Sichuan Golden Monkeys via S-TLD[C]//Chinese Conference on Image and Graphics Technologies. Springer, Singapore, 2016: 85-91.

17. Xu P, Miao Q, Liu R, et al. A Novel Dynamic Character Grouping Approach Based on the Consistency Constraints[C]//CCF Chinese Conference on Computer Vision. Springer, Berlin, Heidelberg, 2015: 170-179.

18. Xu P, Miao Q, Liu T, et al. Multi-direction edge detection operator[C]//2015 11th International Conference on Computational Intelligence and Security (CIS). IEEE, 2015: 187-190.

19. Xu P, Ding N, Chen F. The threat assessments of the cracks to the soil sites via image analysis[C]//Computational Intelligence and Security (CIS), 2016 12th International Conference on. IEEE, 2016: 336-339.

20. Miao Q, Xu P, Li W, et al. A General Edge Detection Method Based on the Shear Transform[C]//Computational Intelligence and Security (CIS), 2011 Seventh International Conference on. IEEE, 2011: 1400-1404.

21. 许鹏飞,苗启广,李伟生,张军英. 基于函数复杂度的自适应模拟退火和禁忌搜索新算法. 电子学报,406),1218-12222012.

22. 许鹏飞,杨云,苗启广,孟轲文,张军英. 地图数字化中沙地符号的自动去除算法*.系统工程与电子技术. 353):662-6662013

合作发表论文:

1. Liu T, Miao Q, Xu P, et al. Color topographical map segmentation algorithm based on linear element features[J]. Multimedia Tools and Applications, 2015: 1-22.

2. Guo S, Qiang M, Luan X, Xu P, et al. The application of the Internet of Things to animal ecology[J]. Integrative zoology, 2015, 10(6): 572-578.

3. Wei-ke Nie, Da-zheng Feng, Hu Xie, Jin Li, Peng-fei Xu. Improved MUSIC algorithm for high resolution angle estimation, Signal Processing, 2016, 122: 87-92.

4. Liu T, Miao Q, Xu P, et al. A contour-line color layer separation algorithm based on fuzzy clustering and region growing [J]. Computers & Geosciences, 2016, 88: 41-53.

5. Xunli Fan, Huili Jia, Lin Wang, and Pengfei Xu. Cooperation Based Distributed Target Coverage Protocol for Prolonging the Lifetime of Wireless Sensor Network[J]. Journal of Computational and Theoretical Nanoscience, 2016, 13(8): 4998-5009.

6. Liu R, Song J, Miao Q, et al. Road centerlines extraction from high resolution images based on an improved directional segmentation and road probability[J]. Neurocomputing, 2016, 212: 88-95.

7. Zhao X, Nie F, Wang S, Guo J, Xu P, & Chen X. Unsupervised 2D dimensionality reduction with adaptive atructure learning. Neural Computation. 2017, 29(5), 1352-1374.

8. Wang L, Gong X, Zhang Y, Xu P, et al. Artistic features extraction from chinese calligraphy works via regional guided filter with reference image[J]. Multimedia Tools and Applications, 2018, 77(3): 2973-2990.

9. Jiang B, Meng H, Ma X, et al. Nighttime image Dehazing with modified models of color transfer and guided image filter[J]. Multimedia Tools and Applications, 2018, 77(3): 3125-3141.

10. Miao Q, Shi C, Xu P, et al. Multi-focus image fusion algorithm based on shearlets[J]. Chinese Optics Letters, 2011, 9(4): 041001.

11. Cheng S, Qiguang M, Pengfei X. A novel algorithm of remote sensing image fusion based on shearlets and PCNN[J]. Neurocomputing, 2013, 117: 47-53.

12. Miao Q, Shi C, Xu P, et al. A novel algorithm of image fusion using shearlets[J]. Optics Communications, 2011, 284(6): 1540-1547.

13. 苗启广, 翁文奇, 许鹏飞. 遥感图像中无水桥梁识别新算法[J]. 电子学报, 2011, 39(7): 1698-1701.

14. Miao Q, Lou J, Xu P. Image fusion based on NSCT and bandelet transform[C]//Computational Intelligence and Security (CIS), 2012 Eighth International Conference on. IEEE, 2012: 314-317.

15. Xiao Y, Wang X, Wang X, et al. A Data Cleaning Method and Its Application for Earthen Site Data Monitored by WSN[C]//Chinese Conference on Pattern Recognition. Springer Singapore, 2016: 638-649.

16. 刘如意, 宋建锋, 权义宁, . 一种自动的高分辨率遥感影像道路提取方法[J]. 西安电子科技大学学报 (自然科学版), 2017 (2017 01): 100-105.

二、发明专利19项,其中授权11项。

授权发明专利:

1. 一种基于HVS与引导滤波器的土遗址裂缝检测方法(授权)

2. 一种基于shear变换和引导滤波器的书法字提取方法(授权)

3. 一种对书法作品中文字神采信息的提取方法(授权)

4. 基于Beamlet与小波变换的图像融合方法

5. 基于Radon变换和极谐波变换的不变矩目标识别方法

6. 基于shearlet变换和维纳滤波的图像去噪方法

7. 基于随机概率采样与多级融合的大幅面地形图分割方法

8. 一种含噪图像的边缘检测方法

9. 基于区域预测的LiDAR点云数据形态学滤波方法

10. 基于不规则三角网的LiDAR点云数据水上桥梁提取方法

11. 基于不规则三角网的LiDAR点云数据边缘检测方法

已受理发明专利:

1. 一种书法临摹指导系统

2. 彩色地形图中线要素分割算法

3. 一种基于自适应特征降维的多标记数据分类方法

4. 基于增量自步学习和区域色彩量化的金丝猴面部检测方法

5. 一种基于S-TLD的川金丝猴面部检测和追踪算法

6. 一种基于图像超分辨率的书法背景重建方法

7. 一种多视角数据的半监督特征选择方法

8. 一种图像去噪处理方法及装置

科研项目:

1. 2016.1-2018.12,基于深度学习的金丝猴面部特性的检测与识别算法研究,国家自然科学基金青年基金,6150238722.6. 主持

2. 2015.9-2017.8,基于Deep Learning的金丝猴面部识别算法研究,2015年陕西省博士后科研项目资助 二等资助。5.0

3. 2016.6-2017.12, 基于深度-TLD的金丝猴面部检测与追踪算法研究, 中国博士后科学基金第59批面上资助,5万,2016M592832

4. 基于深度视频分析的金丝猴行为识别算法研究,2018年陕西省高校科协人才托举计划项目, 20180108, 西北大学科协.

5. 2016.1-2017.12, 基于深度-TLD的视频图像中金丝猴面部检测与追踪算法研究,陕西省自然科学基础研究计划-青年人才项目,2016JQ60294.0万。

6. 20156月至201612, 基于D-S证据推理的土遗址风险监测与评估关键技术研究,陕西省教育厅专项, 15JK1748,2.0.

7. 陕西省博士后配套资金  5.7

8. 2015.1-2016.12,基于人眼视觉特性的土遗址病害检测与风险评估的关键技术研究,西北大学科学研究基金,14NW27,2.5W

9. 基于深度视频分析的面瘫等级的自动评估方法,陕西省中医药管理局。

教学情况:

本科课程《微机原理》

研究生课程《多尺度图像分析》,《小波分析》,《机器学习》,《数据挖掘理论与技术》

指导本科毕业设计24人。

其它信息:

译著:

1. 苗启广、刘凯、孔韦韦、许鹏飞. 原书名:Computer Vision: Models, Learning, and Inference.  作者: (英)普林斯(Prince  J. D.)出版社:机械工业出版社. ISBN9787111516828  2017-6-21(共25万字,许鹏飞翻译7.0万字)

参与社会活动:

1. 参加了20141030-112日在西安举办的由中国计算机学会主办、中国计算机学会传感器网络专业委员会协办、西北大学和CCF YOCSEF西安承办的第八届中国传感器网络学术会议(CWSN2014

2. 参加了2015422日中国计算机学会青年计算机科技论坛:CCF YOCSEF 西安、杭州、上海、天津四地联动论

3. 承担了2016年全国高性能计算学术年会(HPC CHINA 2016)审稿人,分论坛主持人

期刊审稿人:

1. 目前是SCI期刊NeurocomputingIEEE Transactions on Circuits and Systems for Video TechnologyCIS2016, 2017中国计算机视觉大会CCCV 2015PCmember of CIS 2017的审稿人

媒体活动:

1. 曾在黄河连线专访中接受猴脸识别的专门访谈;

2. 在西安日报中接受土遗址裂缝检测、测量、评估的专门访谈


地址:西安市长安区郭杜教育科技产业园区学府大道1号 邮编:710127

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