吴秋遐

发布时间:2018-06-14 浏览次数:11302

基本信息

姓名:吴秋遐

办公室:B7-214

E-mail:qxwu@scut.edu.cn

所在团队:数据科学与智能软件

个人主页:


个人简介

硕士生导师, IEEE会员,IEEE SMC Guangzhou Chapter秘书。作为主要成员参与了多个国际和国内会议的运作,担任2015年第二届复杂系统与控制研讨会、2016年第三届复杂系统与控制研讨会,组织委员会委员、秘书长,同时担任IEEE T SMC、NEUROCOMPUTING、IET IMAGE PROCESSING、IEEE SIGNAL PROCESSING LETTERS、DICTA等多个国际期刊会议审稿人。

一直从事视觉计算方面的工作和研究,有着长期的视觉计算方面的实际工作经验,负责了多项相关软件的开发工作,作为核心成员参与国家级、省部级项目近10余项。目前作为项目主持人,负责纵向科研课题包括:国家自然科学基金项目(No. 61503141)、人社部留学回国人员择优资助重点类项目、教育部中央高校基本科研业务费面上课题、博士启动项目(Nos. 2015ZM080、2013ZB0006)。近年来,在国际重要期刊和会议上发表EI/SCI收录科研论文20余篇,主要研究领域包括:智能算法与智能软件、视频内容检索、生物特征识别、医学图像处理等。  

学历

2008.09-2012.06, 华南理工大学,系统工程,博士,导师:邓飞其

2009.10-2011.10, 澳大利亚悉尼大学,信息学院,联合培养博士, 导师: David Dagan Feng

教学经历

自2016年起,在华南理工大学开展进行教学工作,其中,主讲本科生课程有:《数字逻辑》、《图像处理基础》。

工作经历

2017.09-至今,华南理工大学,软件学院,副研究员

2016.03-2017.08, 华南理工大学,软件学院,助理研究员

2012.07-2016.03, 华南理工大学,广州现代产业技术研究院,助理研究员

社会兼职

IEEE会员,IEEE SMC Guangzhou Chapter秘书。作为主要成员参与了多个国际和国内会议的运作,担任2015年第二届复杂系统与控制研讨会、2016年第三届复杂系统与控制研讨会,组织委员会委员、秘书长,同时担任IEEE T SMC、NEUROCOMPUTING、IET IMAGE PROCESSING、IEEE SIGNAL PROCESSING LETTERS、DICTA等多个国际期刊会议审稿人。

研究方向

主要研究领域包括:智能算法与智能软件、视频内容检索、生物特征识别、医学图像处理等。

获奖情况


科研项目

主持项目  

  1. [国家级] 2015年国家自然科学基金青年项目,基于深度学习的复杂场景下人体行为识别研究,2016.01-2018.12,22万元,在研          

  2. [省部级] 2015年留学回国人员择优资助重点类项目,复杂场景下人体行为识别关键技术研究,2015.01-2015.12,10万元,已结题          

  3. 2015年中央高校基本科研业务费面上项目,基于深度学习的复杂场景下人体行为识别研究,2015.01-2016.12 ,10万元,在研          

  4. 2013 年中央高校基本科研业务费博士启动项目:复杂场景中人 体行为识别方法的研究,2013.01-2014.12,5 万元,已结题          

  5. 广东省城市空调节能与控制工程技术研究开发中心开放基金项目,基于RFID的中央空调节能优化控制系统研究,2012.10-2013.12,1.5万元,已结题                

  6. 企事业单位委托技术服务项目,农业物联网信息监控系统设计与研发,2015.03-2016.05,2.85万元,已结题          

参与项目  

  1. 国家自然科学基金面上项目:基于搜索的图像、视频抠图研究,2017.08-2021.12,80万元,在研          

  2. 国家自然科学基金面上项目:仿冒攻击环境下的指静脉识别关键问题研究及其性能评估,2015.08-2019.12,80.2万元,在研          

  3. 广东省自然科学基金项目:基于序列成像模式的指脉认证与防伪研究,2016.05-2019.06,10万元,在研          

  4. 广州市科技项目:3D视觉大数据和分析新方法研究,2017.01-2020.04,30万元,在研  

  5. 广东省其他厅局级项目:在线式点胶机研发与产业化,2016.01-2017.12,15 万元,在研              

  6. 广东省第三批重大科技专项(低碳技术创新与示范)项目计划:商贸酒店节能运行管理智能化系 统研究与示范,2012.06-2014.05,200 万元,已结题          

  7. 2012 年南沙区高新技术产业化项目:基于物联网技术的建筑能源监管与空调节能控制产品产业化研究与示范,2012.08-2014.12,180 万元,已结题          

发表文章

期刊论文  

  1. Qiuxia Wu, Zhiyong Wang, Feiqi Deng, Zheru Chi, and David Dagan Feng, 'Realistic Human Action Recognition with Multi-modal Feature Selection and Fusion,' IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans, 43(4), p875-885, July 2013. (JCR一区, IF:5.131)          

  2. Qiuxia Wu, Zhiyong Wang, Feiqi Deng, Wenxiong Kang, Zheru Chi, and David Dagan Feng, 'Discriminative Two-level Feature Selection for Realistic Human Action Recognition,' Journal of Visual Communication and Image Representation, 24(7), p1064-1074, October 2013. (SCI一区, IF: 1.836)          

  3. Wenxiong Kang, and Qiuxia Wu, “Pose Invariant Hand Shape Recognition Based on Finger Geometry,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44(11), p1510-1521, November 2014. (SCI一区, IF:5.131)          

  4. Wenxiong Kang, and Qiuxia Wu, “Contactless Palm Vein Recognition Using a Mutual Foreground-Based Local Binary Pattern,” IEEE Transactions on Information Forensics and Security, 9(11), p1974-1985, November 2014. (SCI一区, IF:5.824)

  5. Zeyi Huang, Wenxiong Kang, Qiuxia Wu, and Xiaopeng Chen, “A new descriptor resistant to affine transformation and monotonic intensity change,” Computer Vision and Image Understanding, v 120, p 117-125, March 2014. (SCI二区, IF: 2.391)          

  6. Wenxiong Kang, Yang Liu, Qiuxia Wu, and Xishun Yue, “Contact-free palm-vein recognition based on local invariant features,” PLoS One. 2014 May 27; 9(5):e97548. (SCI一区, IF:2.766)          

  7. Wenxiong Kang, Xiaopeng Chen, and Qiuxia Wu, “The biometric recognition on contactless multi-spectrum finger images”, Infrared Physics and Technology, v 68, p 19-27, January 2015. (SCI二区,IF: 1.851)

  8. Xuekui Yan, Wenxiong Kang, Feiqi Deng, and Qiuxia Wu, “Palm vein recognition based on multi-sampling and feature-level fusion”, Neurocomputing, v 151, n P2, p 798-807, March 5, 2015. (SCI一区,IF:3.241)   

  9. Xiaobin Zhuang, Wenxiong Kang, and Qiuxia Wu, “Real-time vehicle detection with foreground-based cascade classifier”, IET Image Processing, v 10, n 4, p 289-296, April 1, 2016. (SCI三区,IF: 1.401)

  10. Yuxun Fang, Wenxiong Kang, and Qiuxia Wu, Lei Tang, “A novel video-based system for in-air signature verification”, Computers & Electrical Engineering, v 57, p 1-14, January 2017. (SCI二区,IF: 1.747)

  11. Bin Zhu, Lianfang Tian, Qiliang Du, and Qiuxia Wu, Lixin Shi, “An Improved Fractional-Order Optical Flow Model for Motion Estimation”, Mathematical Problems in Engineering, v 2018, p 1-6, 10 May 2018. (SCI三区,IF: 1.145)

  12. Yuxun Fang, Qiuxia Wu, and Wenxiong Kang, “A novel finger vein verification system based on two-stream convolutional network learning”, Neurocomputing, v 290, p 100-107, 17 May 2018. (SCI一区,IF: 3.241)   

  13. Linpu Fang, Guile Wu, Wenxiong Kang, Qiuxia Wu, Zhiyong Wang, and David Dagan Feng, “Feature covariance matrix-based dynamic hand gesture recognition”, Neural Computing and Applications, Article in Press, 15 September 2018. (SCI二区,IF: 2.737)

  14. Bin Zhu, Lianfang Tian, Qiliang Du, Qiuxia Wu, Farisi Zeyad Sahl, and Yao Yeboah, “Adaptive dual fractional-order variational optical flow model for motion estimation”, IET Computer Vision, Accepted, 25 September 2018. (SCI四区,IF: 0.864)     

  15. Qiuxia Wu, Feiqi Deng, and Wenxiong Kang, “Human action recognition in complex scenes based on fuzzy integral fusion,” Journal of South China University of Technology (Natural Science), 40(1), p146-151, January 2012, in Chinese. (EI)          

会议论文      

  1. Qiuxia Wu, Zhiyong Wang, Feiqi Deng, and David Dagan Feng, 'Realistic Human Action Recognition with Audio Context,' International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, Australia, December, 2010. (EI)    

  2. Qiuxia Wu, Shiyang Lu, Zhiyong Wang, Feiqi Deng, Wenxiong Kang and David Dagan Feng, 'Structure Context of Local Features in Realistic Human Action Recognition,' The 3rd International Workshop on Video Event Categorization, Tagging and Retrieval for Real-World Applications (VECTaR2011 In Conjunction with ICCV 2011), Bacelona, Spain, November, 2011. (EI)           

  3. Kaimin Yu, Zhiyong Wang, Genliang Guan, Qiuxia Wu, Zheru Chi, and Dagan Feng , “How many frames does facial expression recognition require?” Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2012, p 290-295, 2012, Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2012. (EI)           

  4. Dejian Li, Xishun Yue, Qiuxia Wu, and Wenxiong Kang, “CPGF: Core point detection from global feature for fingerprint”, in Proceedings of 10th Chinese Conference (CCBR 2015), p 224-232, 2015. (EI)

  5. Lei Tang, Yuxun Fang, Qiuxia Wu, Wenxiong Kang, and Junhong Zhao, “Online finger-writing signature verification on mobile device for local authentication”, in Proceedings of 11th Chinese Conference on Biometric Recognition (CCBR 2016), p 409-416, 2016. (EI)   

  6. Zhixing Huang, Wenxiong Kang, Qiuxia Wu, Junhong Zhao, and Wei Jia, “A finger vein identification system based on image quality assessment”, in Proceedings of 11th Chinese Conference on Biometric Recognition (CCBR 2016), p 244-254, 2016. (EI)

  7. Xinwei Qiu, Senping Tian, Wenxiong Kang, Wei Jia, and Qiuxia Wu, “Finger Vein Presentation Attack Detection Using Convolutional Neural Networks”, in Proceedings of 12th Chinese Conference on Biometric Recognition (CCBR2017), p 296-305, 2017. (EI)   

  8. Wing W. Y. Ng, Jinde Li, Jianjun Zhang, Qiuxia Wu, and Jiayong Li, “Visual words selection for human action recognition using rbfnn via the minimization of L-GEM”, in Proceedings of 2017 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR 2017), p 183-187, 2017. (EI)     

  9. Xinyi Lu, Yuxun Fang, Qiuxia Wu, Junhong Zhao, and Wenxiong Kang, “A novel multiple distances based dynamic time warping method for online signature verification”, in Proceedings of 13th Chinese Conference on Biometric Recognition (CCBR 2018), p 645-652, 2018. (EI)          

  10. Gengxing Wang, Wenxiong Kang, Qiuxia Wu, Zhiyong Wang, and Junbin Gao, “Generative adversarial network (GAN) based data augmentation for palmprint recognition”, 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018, January 16, 2019. (EI)          

TOP