教師信息個人照片
姓    名賈偉性    別  男

出生年月
最終學位博士
畢業學校中國科技大學
從事專業模式識別與智能系統職    務
所屬院系計算機系
所屬科室(研究所)計算機應用研究所職     稱副研究員
聯系方式
辦公電話
E-mailjiawei@hfut.edu.cn
通訊地址
郵  編
簡    歷

賈偉,博士,合肥工業大學計算機與信息學院副研究員。19986月、20046月、200812月分別于華中師范大學信息管理系獲理學學士學位、合肥工業大學計算機系獲工學碩士學位、中國科技大學自動化系獲工學博士學位,獲2008年度中科院院長優秀獎”等獎勵。擔任IEEE TPAMITIPTNNLSTACTIFSTCYBTMMTCSVTTIMPRIJCAI AAAI 、ICPR等多個國際權威雜志審稿人和國際會議程序委員會委員及Area Chair(AC)。首屆中科院青年創新促進會會員。中國自動化學會模式識別與機器智能專業委員會副秘書長。中國圖象圖形學學會青年工作委員會執行委員。中國人工智能學會模式識別專業委員會委員。中國人工智能學會智能交互專業委員會委員。中國計算機學會計算機視覺專業委員會委員。中國圖象圖形學會機器視覺專業委員會委員。視覺與學習青年研討會(VALSE)第一屆在線理事會副主席、在線委員會副主席,VALSE常務委員。2015中國生物特征識別青年論壇指導委員會委員。2016201720182019中國生物特征識別會議宣傳主席。2017年中國計算機視覺大會宣傳主席。VALSE 2018宣傳主席。VALSE 2019程序委員會主席。VALSE 2020宣傳主席。中國圖象圖形學學會2019暑期聯合會議組織委員會主席。中國模式識別與計算機視覺大會2020PRCV 2020)競賽主席。“新一代人工智能”西部地區論壇執行主席。國家自然科學基金函評專家。已經獲得3項國家自然科學基金的資助。近年來,在IEEE Transactions 會刊、Pattern Recognition等國際期刊上發表論文60多篇,論文被引2800余次,H因子23。獲得授權發明專利4項。擔任國際期刊《IEEE ACCESS》客座編委。主要研究興趣為人工智能、計算機視覺、模式識別等。

研究方向

人工智能、計算機視覺、圖像處理、模式識別、生物特征識別

實驗室氛圍和諧進取,研究方向前景好,歡迎認真熱情、腳踏實地的學生報考

主持及負責的科研項目
[1].國家自然科學基金面上項目,“面向移動身份認證的中低分辨率掌紋識別關鍵問題研究”,60萬元,2017.1-2020.12 (主持人)
[2].國家自然科學基金面上項目,“基于人臉和人手信息融合的面向成人和兒童的非接觸式身份鑒別方法研究”,63萬元,2012.1-2015.12 (主持人)
[3].國家自然科學基金面上項目(亞類:青年),“基于腳紋識別的嬰幼兒身份認證關鍵技術研究”,20萬元,2008.1-2010.12(主持人)
[4].合肥物質科學中心方向性培育項目,“面向民用核設施的民眾風險溝通研究”40萬元,2014.9-2016.9(聯合負責人)
[5].中科院十二五信息化數據庫重點項目,“領域基礎科學數據整合與集成應用項目”,140萬元,2013.7-2015.12(執行負責人)
[6].中科院青年創新促進會成員專項基金,40萬元,2011.9-2015.8 (主持人)
[7].中科院院長獎啟動基金項目,“掌紋的快速檢索算法研究”,10萬元,2009.7-2012.6(主持人)
[8].中科院智能所知識創新工程領域前沿重點項目子課題,“基于攝像機與柔性陣列傳感器的雙模態步態識別”,10萬元,2009.1-2011.12(主持人)
[9].中科院合肥物質科學研究院知識創新工程青年人才項目“掌紋識別關鍵技術研究”,12萬,2010.1-2011.12 (主持人)

主要論著

部分期刊論文

[1]Lunke Fei, Wei Jia, Jie Wen, David Zhang, Feature Extraction for 3D Palmprint Recognition: A Survey, IEEE Transactions on Instrumentation and Measurement. (TIM)(Accept) 2020.

[2]Lei Zhang, Qingyan Duan, Wei Jia, David Zhang, Adv-Kin: An Adversarial Convolutional Network for Kinship Verification, IEEE Transactions on Cybernetics(TCYB). (Accepted) 2020.

[3]Yuan Chen, Yang Zhao, Shujie Li, Wangmeng Zuo, Wei Jia, Xiaoping Liu, Blind Quality Assessment for Cartoon Images, IEEE Transactions on Circuits and Systems for Video Technology(TCSVT). (Accepted) 2019.

[4]Lunke Fei, Bob Zhang, Yong Xu, Zhenhua Guo, Jie Wen, Wei Jia, Learning Discriminant Direction Binary Palmprint Descriptor, IEEE Transactions on Image Processing(TIP), vol.28, no.8, pp.3808–3820, 2019.

[5]Lunke Fei, Bob Zhang, Yong Xu, Di Huang, Wei Jia, Jie Wen, Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). (Accept) 2019

[6]Yang Zhao, Ronggang Wang, Wei Jia*, Wangmeng Zuo, Xiaoping Liu, and Wen Gao “Deep Reconstruction of Least Significant Bits for Bit-Depth Expansion” IEEE Transactions on Image Processing(TIP), vol. 28, no. 6, pp. 2847 – 2859, 2019

[7]Wei Jia, Yang Zhao, Ronggang Wang, Shujie Li, Hai Min, Xiaoping Liu, Are Recent SISR Techniques Suitable for Industrial Applications at Low Magnification? IEEE Transactions on Industrial Electronics(TIE), Vol. 66, no. 12, pp. 9828 – 9836, 2019.

[8]Lunke Fei, Guangming Lu, Wei Jia and David Zhang, Feature Extraction Methods for Palmprint Recognition: A Survey and Evaluation, IEEE Transactions on Systems Man and Cybernetics: Systems(TSMC), Vol. 49, no. 2, pp. 346-363, 2019.

[9]L Fei, G Lu, W Jia*, J Wen, D Zhang, “Complete Binary Representation for 3-D Palmprint Recognition” IEEE Transactions on Instrumentation and Measurement (TIM), vol. 67no.2, pp:2761-2771, 2018.

[10]Wei Jia, Bob Zhang, Jingting Lu, Yihai Zhu, Yang Zhao, Wangmeng Zuo, and Haibin Ling, Palmprint Recognition Based on Complete Direction Representation, IEEE Transactions on Image Processing(TIP), Volume: 26, Issue: 9, Sept. 2017, Page(s): 4483 – 4498.

[11]H Min, W Jia*, Y Zhao, W Zuo, H Ling, Y Luo, “LATE: A Level Set Method Based on Local Approximation of Taylor Expansion for Segmenting Intensity Inhomogeneous Images” IEEE Transactions on Image Processing, (TIP), vol. 27, pp.5016 - 5031, 2018.

[12]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 and Security (TIFS), vol. 14, pp. 858 – 869, 2019.

[13]Xinwei Qiu, Wenxiong Kang, Senping Tian, Wei Jia, Zhixing Huang, Finger Vein Presentation Attack Detection Using Total Variation Decomposition, IEEE Transactions on Information Forensics & Security (TIFS), volume 13, issue 2, pp:465 – 477, 2018.

[14]Xiaohe Wu, Wangmeng Zuo, Liang Lin, Wei Jia, David Zhang, F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 29, pp. 5185-5199, 2018.

[15]Wei Jia, Rong-Xiang Hu, et al., “Histogram of Oriented Lines for Palmprint Recognition”, IEEE Transactions on Systems Man and Cybernetics: Systems(TSMCS), vol. 44, no. 3, 385-394, 2014.

[16]Rong-Xiang Hu, Wei Jia*, Haibin Ling, Yang Zhao, “Angular Pattern and Binary Angular Pattern for Shape Retrieval,” IEEE Transactions on Image Processing(TIP), vol. 23, no. 3, 1118-1127, 2014.

[17]Rong-Xiang Hu, Wei Jia*, et al., “Multiscale distance matrix for fast shape recognition,” IEEE Transactions on Image Processing (TIP), 21(11), 4667-4772, 2012.

[18]Yang Zhao, De-Shuang Huang, Wei Jia, “Completed Local Binary Count for Rotation Invariant Texture Classification” IEEE Transactions on Image Processing (TIP), 21(10), 4492-4497, 2012.

[19]Shu-Lin Wang, Yi-Hai Zhu, Wei Jia, De-Shuang Huang, “Robust classification method of tumor subtype by using correlation filters,” IEEE Transactions on Computational Biology and Bioinformatics(TCBB), vol. 9, no. 2, pp. 580-591, 2012.

[20]Yang Zhao, Ronggang Wang, Wei Jia*, Jianchao Yang, Wenmin Wang, Wen Gao, Local Patch Encoding Based Method for Single Image Super-Resolution, Information Sciences (IS), Vol 433–434, pp.292-305, 2018.

[21]Hai Min, Wei Jia*, Xiao-Feng Wang, Yang Zhao, Yue-Tong Luo, A Polynomial Piecewise Constant Approximation Method Based on Dual Constraint Relaxation for Segmenting Images with Intensity Inhomogeneity, Pattern Recognition (PR), vol. 73, pp:15-32, 2018.

[22]Yue-Tong Luo, Lan-Ying Zhao, Bob Zhang, Wei Jia*, et al, “Local Line Directional Pattern for Palmprint Recognition”, Pattern Recognition(PR). Vol.50, no. 1, pp.26-44, 2016.

[23]L Fei, B Zhang, Y Xu, W Jia, J Wen, J Wu, “Precision direction and compact surface type representation for 3D palmprint identification”, Pattern Recognition (PR). Vol 87, Pages 237-247, 2019.

[24]Hai Min, Wei Jia*, et al. “An intensity-texture model based level set method for image segmentation”, Pattern Recognition (PR). Vol.48, no. 4, pp.1547-1562, 2015.

[25]Rong-Xiang Hu, Wei Jia*, David Zhang, Jie Gui, Liang-Tu Song, “Hand shape recognition based on coherent distance shape contexts,” Pattern Recognition (PR), vol. 45, no. 9, pp. 3348-3359, 2012.

[26]Rong-Xiang Hu, Wei Jia*, “Perceptually motivated morphological strategies for shape retrieval”, Pattern Recognition (PR), vol. 45, no.9, pp. 3222-3230, 2012.

[27]Wei Jia, Rong-Xiang Hu, Jie Gui, Xiao-Ming Ren, “Palmprint recognition across different devices”, Sensors,12(6), 7938-7964, 2012.

[28]Jie Gui, Tie-Niu Tan, Wei Jia, Zhe-Nan Sun, “Discriminant sparse neighborhood preserving embedding for face recognition,” Pattern Recognition (PR), vol. 45, no. 8, pp. 2884-2893, 2012.

[29]Wei Jia, De-Shuang Huang, David Zhang, “Palmprint verification based on robust line orientation code,” Pattern Recognition (PR), vol.41, no.5, pp. 1504-1513, 2008.

[30]De-Shuang Huang, Wei Jia, David Zhang, “Palmprint verification based on principal lines,” Pattern Recognition (PR), vol.41, no.4, pp. 1316-1328, 2008.

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