个人简介

康文雄，华南理工大学教授，博士生导师，广东石油化工学院自动化学院院长（挂职），广东省智能金融企业重点实验室副主任；华工-奔流电力人工智能联合实验室主任，华南理工大学生物特征识别与智能感知实验室（BIPLAB）负责人；IEEE，ACM，CCF会员，中国人工智能学会模式识别专委会委员，中国人工智能学会智能交互专委会委员，自动化学会模式识别与机器智能专委会委员，自动化学会混合智能专业委员会，中国图象图形学学会视觉大数据专委会，中国人工智能学会教育工作委员会第二届委员会委员, 广州市天河区科协第七届委员会常务委员。2009.9-2010.6以及2016.11-2017.12分别作为研究人员和访问学者到瑞士苏黎世联邦高等工业大学和澳大利亚悉尼大学进行访问研究。目前主要研究兴趣：图像处理与模式识别 , 计算机视觉，自然语言处理 , 生物特征识别 , 深度学习。更多信息见：https://www.scholat.com/auwxkang

承担项目

近年来主持国家自然科学基金3项、广东省自然科学基金，广东省科技计划项目，广东省教育部产学研结合项目等省部级项目10余项，中央高校基本科研业务费自主选题项目4项，企事业单位委托开发项目10多项，参与国家自然科学基金和广东省粤港关键领域重点突破项目等项目多项。其中国家和省部级项目研究内容包括：指静脉和掌静脉识别，手势估计和自由手势认证，在线签名识别，多生物特征识别和仿冒攻击检测，目标检测、视频分析和理解；企事业委托项目研究内容包括：电力场景和民航机场中的智能视频分析，现场作业人员的智能检测，识别和跟踪，文档图像分析与识别，3D手势估计和3D人体姿态估计，嵌入式机器视觉应用，智能视觉传感器开发，静脉识别系统研发。

标志性成果

主要期刊论文

2021年

[1] Y. Zhang, X. Wang, M. Shakeel, H.  Wan, W. Kang*,  Learning Upper Patch Attention using Dual-branch training strategy for Masked Face Recognition, Pattern Recognition, Accept  (SCI IF=3.965，JCR Q1)
[2] J. Huang, M. Tu, W. Yang and W. Kang*, Joint Attention Network for Finger Vein Authentication.  IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-11, 2021, doi: 10.1109/TIM.2021.3109978.
[3] Z. Zhang, F. Zhong and W. Kang*, Study on Reflection-Based Imaging Finger Vein Recognition, IEEE Transactions on Information Forensics and Security, doi: 10.1109/TIFS.2021.3093791.
[4] W. Jia, W. Xia, B. Zhang, Y. Zhao, L. Fei, W. Kang, D. Huang, G. Guo, A survey on dorsal hand vein biometrics,Pattern Recognition 120, 108122 (SCI IF=3.965，JCR Q1)
[5] H. Xu, L. Wang, Q. Wu, W. Kang*. PVLNet: Parameterized-View-Learning neural network for 3D shape recognition. Computers & Graphics. 98: 71-81 (2021)
[6] H. Xu, W. Yang, Q. Wu, W. Kang*，Endowing Rotation Invariance for 3D Finger Shape and Vein Verification，Frontiers of Computer Science， Accept (SCI )
[7]J.Xu, H. Tian , Z. Wang, Y. Wang, W. Kang, F.Chen,Joint Input and Output Space Learning for Multi-Label Image Classification.  IEEE Transactions on Multimedia. 23: 1696-1707 (2021) (SCI IF=3.977，JCR Q1) 
[8] C. Liu , Y. Yang, X. Liu, L. Fang, and W. Kang*, Dynamic Hand Gesture Authentication Dataset and Benchmark, IEEE Transactions on Information Forensics and Security, 2021(16): 1550-1562. (SCI IF=5.824，JCR Q1)

2014年-2020年

[1] W. Yang, W. Luo, W. Kang*, Z. Huang and Q. Wu, FVRAS-Net: An Embedded Finger-Vein Recognition and AntiSpoofing System Using a Unified CNN. IEEE Transactions on Instrumentation & Measurement, 2020(69)11: 8690-8701. (SCIIF=3.84. JCR Q1)
[2] 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,2020(30)12: 4810-4822 (SCI IF=4.133，JCR Q1)
[3] W. Kang*, H. Liu, W. Luo, F. Deng, Study of a Full-View 3D Finger Vein Verification Technique, IEEE Transactions on Information Forensics and Security, (2020)15(1): 1175-1189 (SCI IF=5.824，JCR Q1) 广东省计算机学会优秀论文一等奖
[4] 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.(82):115729, (SCI IF=2.779. JCR Q2)
[5] W. Kang*, Yuting Lu, Dejian Li, Wei 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)
[6] 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)
[7] G. Pan, G. Chen, W. Kang*, and J. Hou, Correlation filter tracker with siamese: A robust and real-time object tracking framework, Neurocomputing, 2019.358: 33–43 (SCI IF=4.072，JCR Q1).
[8] X. Qiu, W. Kang*, S. Tian, W.Jia and Z. Huang, Finger Vein Presentation Attack Detection Using Total Variation Decomposition, IEEE Transactions on Information Forensics & Security, (2018)13(2):465-477. (SCI IF=6.211，JCR Q1)
[0] 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)
[10] 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)
[11] 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)
[12] 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)
[13] 王浩, 康文雄*, 陈晓鹏. 基于视频的掌纹掌脉联合识别系统研究, 光学学报. 2018,38(2):0215004. (EI 核心)，被评为2018年第2期“优秀论文”
[14] 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).
[15] 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)
[16] 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)
[17] 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)
[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] 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).
[20] 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).
[21] 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).
[22] 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)
[23] 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).
[24] 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)
[25] 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).

主要会议论文

[1] A.Deng, S.Wang, W.Kang, F.Deng, On the Importance of Different Frequency Bin for Speaker Verification， ICASSP 2022, Accept
[1] H.Xu, Z.Zhou, Y.Wang, W.Kang, B. Sun, H.Li, Y. Qiao, Digging into Uncertainty in Self-supervised Multi-view Stereo, ICCV 2021, Accept
[2] W.Song, W.Kang*, Y.Yang, L.Fang, C.Liu, X,Liu, TDS-Net: Towards Fast Dynamic Random Hand Gesture Authentication via Temporal Difference Symbiotic Neural Network，IJCB 2021, Accept as best paper(最佳论文奖)
[3] W.Yang, Z.Chen, J.Huang, L.Wang, W.Kang*, LFMB-3DFB: A Large-scale Finger Multi-Biometric Database and Benchmark for 3D Finger Biometrics，IJCB 2021, Accept as best paper(最佳论文奖)
[4] C.Luo, W.Kang*, J.Zhao, X.Guo, A.Deng, W.Xu, Learning Discriminative Speaker Embedding by Improving Aggregation Strategy and Loss Function for Speaker Verification，IJCB 2021, Accept as short oral
[5] H.Xu, Z.Zhou, Y.Qiao, W.Kang, Q.Wu, Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation， AAAI 2021, Accept as distinguished paper(杰出论文奖)
[6] L.Fang, X.Liu, L.Liu, H.Xu, W. Kang*，JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image，ECCV 2020，Accept as spotlight (亮点报告 top 5% of submissions)
[7] Z.Su, L.Fang, W. Kang, D.Hu, M. Pietikäinen, L.Liu，Dynamic Group Convolution for Accelerating Convolutional Neural Networks，ECCV 2020，Accept as spotlight (亮点报告 top 5% of submissions)
[8] N. Liang, W. Xu, C. Luo and W. Kang*, Learning the Front-end Speech Feature with Raw Waveform for End-to-end Speaker Recognition. ICCAI 2020.（EI收录）Accept
[9] H. Xu, L. Fang, X. Liang*, W. Kang, Z. Li, Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN, AAAI 2020, Oral. Accept
[10] Y. Lu, M. Tu, H. Wang, J. Zhao, and W. Kang, Finger Vein Recognition Based on Double-Orientation Coding Histogram. CCBR2019, LNCS 11818, pp. 20–27.
[11] C. Liu，W.Kang*，L.Fang, and N. Liang，Authentication System Design Based on Dynamic Hand Gesture. CCBR2019, LNCS 11818, pp. 94–103.
[12] H. Hu, W. Kang, T. Lu, H. Liu, Y. Fang, J. Zhao, F. Deng, FV-Net: learning a finger-vein like feature representation based on a CNN, ICPR2018, pp. 3489-3494.
[13] 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
[14] 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收录)
[15] 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 (Best Student Paper 最佳学生论文) (EI收录)
[16] 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收录)
[17] 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(Best Poster Paper 最佳张贴论文)(EI收录)
[18] 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收录)
[19] D. Li, X. Yue, Q. Wu, W. Kang*, CPGF: Core Point Detection from Global Feature for Fingerprint, CCBR2015 LNCS 9428, pp. 224–232. (EI收录)
[20] 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. 465-472. (EI收录)