康文雄，男，博士，華南理工大學教授。
基本介紹
- 中文名：康文雄
- 出生日期：1976年5月
- 職業：教師
- 學位/學歷：博士
- 專業方向：圖像處理與模式識別 , 計算機視覺
- 任職院校：華南理工大學
個人經歷,主講課程,研究方向,學術成果,榮譽獎項,
個人經歷
華南理工大學自動化科學與工程學院教授，博導，廣東石油化工學院自動化學院院長，廣東省智慧型金融企業重點實驗室副主任；IEEE，ACM，CCF會員，中國人工智慧學會模式識別專委會委員，中國人工智慧學會智慧型互動專委會委員，自動化學會模式識別與機器智慧型專委會委員，自動化學會混合智慧型專業委員會，中國圖象圖形學學會視覺大數據專委會，中國人工智慧學會教育工作委員會第二屆委員會委員, 廣州市天河區科協第七屆委員會常務委員。
2009年9月-2010年6月 以及2016年11月-2017年12月分別到瑞士蘇黎世聯邦高等工業大學，澳大利亞悉尼大學進行訪問研究。
擔任了IEEE T-PAMI，IEEE T-IP，IEEE T-IFS，IEEE T-SMC，IEEE T-HMS，IEEE T-BME, IEEE T-IM, IEEE SPL，ACM T-MCCA，ACM TOMM, Neurocomputing，PR， PRL，Image and Vision Computing，IET Biometrics，IET Image processing，Neural Computing and Applications，計算機學報，自動化學報，中、英文版，ISBA，DICTA，中國控制會議和中國生物特徵識別會議等國內外重要學術期刊和會議審稿人，以及國家、廣東省以及山東省自然科學基金通訊評議專家等。
工作經歷
2016/09 – 至今， 華南理工大學 自動化科學與工程學院，教授，博士生導師
2016/11 – 2017/12，澳大利亞悉尼大學 信息技術學院，訪問學者
2012/09 – 2016/09，華南理工大學自動化科學與工程學院，副教授，碩士生導師
2009/09 – 2010/06，瑞士蘇黎世聯邦高等工業大學 信息技術與電子工程系，訪問學者
2016/11 – 2017/12，澳大利亞悉尼大學 信息技術學院，訪問學者
2012/09 – 2016/09，華南理工大學自動化科學與工程學院，副教授，碩士生導師
2009/09 – 2010/06，瑞士蘇黎世聯邦高等工業大學 信息技術與電子工程系，訪問學者
主講課程
承擔了本科生課程《圖像處理與機器視覺》，《機器視覺與智慧型檢測相關創新實踐》，研究生課程《模式識別與機器視覺實踐課》，《系統分析與集成》等。
研究方向
主要研究方向：圖像處理與模式識別 , 計算機視覺 , 生物特徵識別 , 機器學習。
學術成果
科研成果：近年來在IEEE Transactions on Image Processing、IEEE Transactions on Information Forensics & Security、IEEE Transactions on Circuits and Systems for Video Technology、Pattern Recognition、IEEE Transactions on Multimedia、IEEE Transactions on Systems, Man, and Cybernetics: Systems、Computer Vision and Image Understanding、Pattern Recognition Letters、Journal of Visual Communication and Image Representation、Neurocomputing、IET Biometrics，中國科學、自動化學報等國內外重要專業期刊上發表及錄用論文80多篇，三大索引論文60篇，其中SCI期刊論文25篇（JCR 一區期刊論文20篇），主編書籍1本。申請國際發明專利3項，申請國家發明專利和實用新型專利30多項，授權10餘項，轉讓專利10項，獲得軟體著作權4項。受邀組織，主持和參加了多個本領域的國內外學術會議。
科研項目
科研項目：近年來主持國家自然科學基金3項、廣東省自然科學基金，廣東省科技計畫項目，廣東省教育部產學研結合項目等省部級項目10餘項，中央高校基本科研業務費自主選題項目5項，企事業單位委託開發項目10多項，參與國家自然科學基金和廣東省粵港關鍵領域重點突破項目等項目多項，其中國家和省部級項目研究內容包括：運動目標檢測與實時跟蹤，靜脈識別，線上簽名識別以及多生物特徵識別和生物特徵仿冒攻擊檢測；企事業委託項目研究內容包括：指靜脈識別系統研發，作業人員監測預警系統中，文檔圖像分析與識別，智慧型圖像識別，智慧型監測嵌入式機器視覺套用，智慧型視覺感測器開發。
發表論文
[1] G. Chen, G. Pan, Y. Zhou, W. Kang*, J. Hou, F. Deng, Correlation Filter Tracking via Distractor-aware Learning and Multi-Anchor Detection, IEEE Transactions on Circuits and Systems for Video Technology, Accept
[2] L. Fang, N. Liang, W. Kang*, Z. Wang, D. Feng, Real-time hand posture recognition using hand geometric features and Fisher Vector, Signal Processing: Image Communication, 2020.8 Accept
[3] W. Kang*, H. Liu，W. Luo, F. Deng，Study of a full-view 3D Finger Vein Verification Technique, IEEE Transactions on Information Forensics & Security, (2020)15(1): 1175-1189 (SCI IF=5.824，JCR Q1)
[4] G. Pan, G.Chen, W. Kang*, J. Hou，Correlation Filter Tracker with Siamese: A Robust and Real-time Object Tracking Framework , Neurocomputing , 2019.358: 33-43. (SCI IF=3.241，JCR Q1)
[5] S. Tang, S.Zhou, W.Kang*,Q.Wu, F.Deng, Finger Vein Verification using a Siamese Convolutional Neural Network, IET Biometrics, Mar (2019) :1-12 (SCI IF=1.836，JCR Q2)
[6] L. Fang, G. Wu, W. Kang*, Q. Wu , Z. Wang, David D. Feng，Feature Covariance Matrix based Dynamic Hand Gesture Recognition, Neural Computing and Applications. Sep (2018) :1-14 (SCI IF=4.215，JCR Q1)
[7] W. Kang*, Y. Lu, D. Li, W. Jia, From Noise to Feature: Exploiting Intensity Distribution as a Novel Soft Biometric Trait for Finger Vein Recognition, IEEE Transactions on Information Forensics & Security, (2019)14(4): 858-869. (SCI IF=5.824，JCR Q1)
[8] Y.Fang, W. Kang*, Q.Wu, A novel finger vein verification system based on two-stream convolutional network learning, Neurocomputing, 2018.290: 100-107，(SCI IF=3.241，JCR Q1)
[9] N. Liang, G.Wu, W. Kang*, Z. Wang, David D. Feng，Real-Time Long-Term Tracking With Prediction-Detection-Correction, IEEE Transactions on Multimedia, 2018.(99):1-12, (SCI IF=3.977，JCR Q1)
[10] X.Qiu, W.Kang*, S.Tian, W.Jia, Finger Vein Spoofing Detection Using Total Variation Decomposition，IEEE Transactions on Information Forensics & Security, 2018.13(2):465-477. (SCI IF=5.824，JCR Q1)
[11] L. Tang, W. Kang*, Y. Fang, Information Divergence-based Matching Strategy for Online Signature Verification, IEEE Transactions on Information Forensics & Security, 2018.13(4): 861-873. (SCI IF=5.824，JCR Q1)
[12] 王浩, 康文雄*, 陳曉鵬. 基於視頻的掌紋掌脈聯合識別系統研究, 光學學報. 2018,38(2):0215004. (EI 核心)，被評為2018年第2期“優秀論文”
[13] G.Wu, W.Kang*, Exploiting Superpixel and Hybrid Hash for Kernel-Based Visual Tracking, Pattern Recognition，2017. 68: 175-190 , (SCI IF=3.965，JCR Q1)
[14] G.Wu, W. Kang*,Vision-Based Fingertip Tracking Utilizing Curvature Points Clustering and Hash Model Representation, IEEE Transactions on Multimedia,2017.19(8): 1730-1741，(SCI IF=3.977，JCR Q1)
[15] R.Shi, G.Wu, W. Kang*, Z. Wang, David D. Feng，Visual Tracking Utilizing Robust Complementary Learner and Adaptive Refiner，Neurocomputing，2017. 260: 367-377. (SCI IF=3.241，JCR Q1)
[16] Y.Fang, W. Kang*, Q. Wu and L. Tang，A Novel Video-based System for In-air Signature Verification, Computers & Electrical Engineering, 2017. 57: 1–14, (SCI IF=1.747，JCR Q2).
[17] G.Wu, W. Kang*, Robust Fingertip Detection in a Complex Environment, IEEE Transactions on Multimedia, 2016.18(6): 978-987, (SCI IF=3.977，JCR Q1).
[18] X. Zhuang, W. Kang*, Q. Wu, Real-time Vehicle Detection with Foreground-based Cascade Classifier, IET Image Processing, 2016.10 (4):289-296, (SCI IF=1.401，JCR Q3).
[19] W. Kang*, X. Chen, Fast Representation Based on a Double Orientation Histogram for Local Image Descriptors, IEEE Transactions on Image Processing,2015;24 (10):2915-2927, (SCI IF=5.072，JCR Q1).
[20] W.Kang, X.Chen, and Q. Wu, The biometric recognition on contactless multi-spectrum finger images. Infrared Physics & Technology, 2015. 68(10): 19-27. (SCI IF=1.851，JCR Q2).
[21] X. Yan, W. Kang*, F. Deng, and Q. Wu, Palm vein recognition based on multi-sampling and feature-level fusion. Neurocomputing, 2015. 151, Part 2(0): 798-807. (SCI IF=3.241，JCR Q1)
[22] W. Kang*, and Q.Wu, Contactless Palm Vein Recognition Using a Mutual Foreground-Based Local Binary Pattern. IEEE Transactions on Information Forensics and Security, 2014. 9(11): 1974-85，(SCI IF=5.824，JCR Q1)
[23] W. Kang*, and Q. Wu, Pose-Invariant Hand Shape Recognition Based on Finger Geometry. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2014. 44(11): 1510-21. (SCI IF=4.315，JCR Q1).
[24] W. Kang*, Y. Liu, Q. Wu, and X. Yue, Contact-Free Palm-Vein Recognition Based on Local Invariant Features. PLoS ONE, 2014. 9(5): p. e97548. (SCI IF=2.766，JCR Q1).
[25] Z. Huang, W. Kang*, Q. Wu, and X. Chen, A new descriptor resistant to affine transformation and monotonic intensity change. Computer Vision and Image Understanding, 2014. 120(0): 117-125. (SCI IF=2.391，JCR Q2).
主要會議論文
[1] H. Xu, L. Fang, X. Liang, W. Kang, Z. Li, Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN, AAAI2019, Oral. Accept
[2] C. Liu，W.Kang*，L. Fang，and N. Liang，Authentication System Design Based on Dynamic Hand Gesture. CCBR 2019, LNCS 11818, pp. 94–103.
[3] Y. Lu, M. Tu, H. Wang, J. Zhao, and W. Kang, Finger Vein Recognition Based on Double-Orientation Coding Histogram. CCBR 2019, LNCS 11818, pp. 20–27.
[4] H.Hu, W. Kang, T Lu, H. Liu, Y. Fang, J. Zhao, F. Deng, FV-Net: learning a vein-like feature representation based on a CNN, ICPR2018, pp. 3489-3494
[5] X. Lu, Y. Fang, Q.Wu, J. Zhao and W. Kang, A Novel Multiple Distances Based Dynamic Time Warping Method for Online Signature Verification,CCBR 2018，LNCS 10996, pp. 645–652, 2018
[6] X. Qiu, S. Tian, W. Kang*, W.Jia and Q. Wu, Finger Vein Presentation Attack Detection Using Convolutional Neural Networks, CCBR2017，LNCS, 10568, pp. 296-305 (最佳學生論文) (EI收錄)
[7] X. Lu, Y. Fang, W. Kang*, Z. Wang, David D. Feng，SCUT-MMSIG：A Multimodal Online Signature Database, CCBR2017, LNCS, 10568, pp. 729-738 (EI收錄)
[8] Z. Huang, W. Kang*, Q. Wu, J. Zhao, W. Jia, A Finger Vein Identification System based on Image Quality Assessment, CCBR 2016, LNCS 9967, pp. 1–11（最佳張貼論文）(EI收錄)
[9] L. Tang, Y. Fang, Q.Wu, W. Kang*, and J. Zhao, Online Finger-Writing Signature Verification on Mobile Device for Local Authentication, CCBR 2016, LNCS 9967, pp. 1–8. (EI收錄)
[10] D. Li, X. Yue, Q. Wu, W. Kang*, CPGF: Core Point Detection from Global Feature for Fingerprint, CCBR2015 LNCS 9428, pp. 224–232. (EI收錄)
[11] S.S. Muhammad, W. Kang*, Efficient Blind Image Deblurring Method for Palm print Images, The IEEE International Conference on Identity, Security and Behavior Analysis, 2015 , Page(s): 1 - 7. (EI收錄)
[12] S. Zhong, X. Chen, D. Li, W. Kang*, and F. Deng, An Intelligent Access Control System based on Multi-biometrics of Finger. CCBR 2014. LNCS 8833, pp. 465-72. (EI收錄)
[2] L. Fang, N. Liang, W. Kang*, Z. Wang, D. Feng, Real-time hand posture recognition using hand geometric features and Fisher Vector, Signal Processing: Image Communication, 2020.8 Accept
[3] W. Kang*, H. Liu，W. Luo, F. Deng，Study of a full-view 3D Finger Vein Verification Technique, IEEE Transactions on Information Forensics & Security, (2020)15(1): 1175-1189 (SCI IF=5.824，JCR Q1)
[4] G. Pan, G.Chen, W. Kang*, J. Hou，Correlation Filter Tracker with Siamese: A Robust and Real-time Object Tracking Framework , Neurocomputing , 2019.358: 33-43. (SCI IF=3.241，JCR Q1)
[5] S. Tang, S.Zhou, W.Kang*,Q.Wu, F.Deng, Finger Vein Verification using a Siamese Convolutional Neural Network, IET Biometrics, Mar (2019) :1-12 (SCI IF=1.836，JCR Q2)
[6] L. Fang, G. Wu, W. Kang*, Q. Wu , Z. Wang, David D. Feng，Feature Covariance Matrix based Dynamic Hand Gesture Recognition, Neural Computing and Applications. Sep (2018) :1-14 (SCI IF=4.215，JCR Q1)
[7] W. Kang*, Y. Lu, D. Li, W. Jia, From Noise to Feature: Exploiting Intensity Distribution as a Novel Soft Biometric Trait for Finger Vein Recognition, IEEE Transactions on Information Forensics & Security, (2019)14(4): 858-869. (SCI IF=5.824，JCR Q1)
[8] Y.Fang, W. Kang*, Q.Wu, A novel finger vein verification system based on two-stream convolutional network learning, Neurocomputing, 2018.290: 100-107，(SCI IF=3.241，JCR Q1)
[9] N. Liang, G.Wu, W. Kang*, Z. Wang, David D. Feng，Real-Time Long-Term Tracking With Prediction-Detection-Correction, IEEE Transactions on Multimedia, 2018.(99):1-12, (SCI IF=3.977，JCR Q1)
[10] X.Qiu, W.Kang*, S.Tian, W.Jia, Finger Vein Spoofing Detection Using Total Variation Decomposition，IEEE Transactions on Information Forensics & Security, 2018.13(2):465-477. (SCI IF=5.824，JCR Q1)
[11] L. Tang, W. Kang*, Y. Fang, Information Divergence-based Matching Strategy for Online Signature Verification, IEEE Transactions on Information Forensics & Security, 2018.13(4): 861-873. (SCI IF=5.824，JCR Q1)
[12] 王浩, 康文雄*, 陳曉鵬. 基於視頻的掌紋掌脈聯合識別系統研究, 光學學報. 2018,38(2):0215004. (EI 核心)，被評為2018年第2期“優秀論文”
[13] G.Wu, W.Kang*, Exploiting Superpixel and Hybrid Hash for Kernel-Based Visual Tracking, Pattern Recognition，2017. 68: 175-190 , (SCI IF=3.965，JCR Q1)
[14] G.Wu, W. Kang*,Vision-Based Fingertip Tracking Utilizing Curvature Points Clustering and Hash Model Representation, IEEE Transactions on Multimedia,2017.19(8): 1730-1741，(SCI IF=3.977，JCR Q1)
[15] R.Shi, G.Wu, W. Kang*, Z. Wang, David D. Feng，Visual Tracking Utilizing Robust Complementary Learner and Adaptive Refiner，Neurocomputing，2017. 260: 367-377. (SCI IF=3.241，JCR Q1)
[16] Y.Fang, W. Kang*, Q. Wu and L. Tang，A Novel Video-based System for In-air Signature Verification, Computers & Electrical Engineering, 2017. 57: 1–14, (SCI IF=1.747，JCR Q2).
[17] G.Wu, W. Kang*, Robust Fingertip Detection in a Complex Environment, IEEE Transactions on Multimedia, 2016.18(6): 978-987, (SCI IF=3.977，JCR Q1).
[18] X. Zhuang, W. Kang*, Q. Wu, Real-time Vehicle Detection with Foreground-based Cascade Classifier, IET Image Processing, 2016.10 (4):289-296, (SCI IF=1.401，JCR Q3).
[19] W. Kang*, X. Chen, Fast Representation Based on a Double Orientation Histogram for Local Image Descriptors, IEEE Transactions on Image Processing,2015;24 (10):2915-2927, (SCI IF=5.072，JCR Q1).
[20] W.Kang, X.Chen, and Q. Wu, The biometric recognition on contactless multi-spectrum finger images. Infrared Physics & Technology, 2015. 68(10): 19-27. (SCI IF=1.851，JCR Q2).
[21] X. Yan, W. Kang*, F. Deng, and Q. Wu, Palm vein recognition based on multi-sampling and feature-level fusion. Neurocomputing, 2015. 151, Part 2(0): 798-807. (SCI IF=3.241，JCR Q1)
[22] W. Kang*, and Q.Wu, Contactless Palm Vein Recognition Using a Mutual Foreground-Based Local Binary Pattern. IEEE Transactions on Information Forensics and Security, 2014. 9(11): 1974-85，(SCI IF=5.824，JCR Q1)
[23] W. Kang*, and Q. Wu, Pose-Invariant Hand Shape Recognition Based on Finger Geometry. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2014. 44(11): 1510-21. (SCI IF=4.315，JCR Q1).
[24] W. Kang*, Y. Liu, Q. Wu, and X. Yue, Contact-Free Palm-Vein Recognition Based on Local Invariant Features. PLoS ONE, 2014. 9(5): p. e97548. (SCI IF=2.766，JCR Q1).
[25] Z. Huang, W. Kang*, Q. Wu, and X. Chen, A new descriptor resistant to affine transformation and monotonic intensity change. Computer Vision and Image Understanding, 2014. 120(0): 117-125. (SCI IF=2.391，JCR Q2).
主要會議論文
[1] H. Xu, L. Fang, X. Liang, W. Kang, Z. Li, Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN, AAAI2019, Oral. Accept
[2] C. Liu，W.Kang*，L. Fang，and N. Liang，Authentication System Design Based on Dynamic Hand Gesture. CCBR 2019, LNCS 11818, pp. 94–103.
[3] Y. Lu, M. Tu, H. Wang, J. Zhao, and W. Kang, Finger Vein Recognition Based on Double-Orientation Coding Histogram. CCBR 2019, LNCS 11818, pp. 20–27.
[4] H.Hu, W. Kang, T Lu, H. Liu, Y. Fang, J. Zhao, F. Deng, FV-Net: learning a vein-like feature representation based on a CNN, ICPR2018, pp. 3489-3494
[5] X. Lu, Y. Fang, Q.Wu, J. Zhao and W. Kang, A Novel Multiple Distances Based Dynamic Time Warping Method for Online Signature Verification,CCBR 2018，LNCS 10996, pp. 645–652, 2018
[6] X. Qiu, S. Tian, W. Kang*, W.Jia and Q. Wu, Finger Vein Presentation Attack Detection Using Convolutional Neural Networks, CCBR2017，LNCS, 10568, pp. 296-305 (最佳學生論文) (EI收錄)
[7] X. Lu, Y. Fang, W. Kang*, Z. Wang, David D. Feng，SCUT-MMSIG：A Multimodal Online Signature Database, CCBR2017, LNCS, 10568, pp. 729-738 (EI收錄)
[8] Z. Huang, W. Kang*, Q. Wu, J. Zhao, W. Jia, A Finger Vein Identification System based on Image Quality Assessment, CCBR 2016, LNCS 9967, pp. 1–11（最佳張貼論文）(EI收錄)
[9] L. Tang, Y. Fang, Q.Wu, W. Kang*, and J. Zhao, Online Finger-Writing Signature Verification on Mobile Device for Local Authentication, CCBR 2016, LNCS 9967, pp. 1–8. (EI收錄)
[10] D. Li, X. Yue, Q. Wu, W. Kang*, CPGF: Core Point Detection from Global Feature for Fingerprint, CCBR2015 LNCS 9428, pp. 224–232. (EI收錄)
[11] S.S. Muhammad, W. Kang*, Efficient Blind Image Deblurring Method for Palm print Images, The IEEE International Conference on Identity, Security and Behavior Analysis, 2015 , Page(s): 1 - 7. (EI收錄)
[12] S. Zhong, X. Chen, D. Li, W. Kang*, and F. Deng, An Intelligent Access Control System based on Multi-biometrics of Finger. CCBR 2014. LNCS 8833, pp. 465-72. (EI收錄)
榮譽獎項
指導研究生和本科生參加各類專業競賽，取得了包括國家級一等獎在內的多個獎項，包括2016年第七屆中國計算機學會服務計算學術會議軟體服務創新大賽二等獎；本科生參賽獲獎包括：2016泛珠三角大學生計算機作品賽總決賽金獎和最佳創新獎，第三屆全國大學生電子商務“創新 創意 創業”挑戰賽全國總決賽的二等獎廣東省首屆大學生電子創新設計大賽決賽（本科組）二等獎等；此外，近幾年指導的本科畢業生中5人獲得校級“優秀本科畢業設計”。本人也多次獲得華南理工大學大洋電機獎教基金，華南理工大學本科畢業設計（論文）優秀指導教師，華南理工大學學生課外學術科技創新優秀指導老師等獎勵。
