贾伟（合肥工业大学）查看源代码讨论查看历史
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贾伟，博士，合肥工业大学计算机与信息学院教授。中国图象图形学学会青年工作委员会秘书长。
社会任职
中国自动化学会模式识别与机器智能专业委员会常务委员。中国人工智能学会模式识别专业委员会委员。中国人工智能学会智能交互专业委员会委员。中国计算机学会计算机视觉专业委员会委员。中国图象图形学会机器视觉专业委员会委员。
研究方向
人工智能、计算机视觉、图像处理、模式识别、生物特征识别
科研项目
[1]. 安徽省重点研发项目，编号:202004d07020008, “基于高效深度卷积神经网络的摩托车违法驾驶抓拍系统”，30万元，2020.1-2022.12 （主持人）
[2]. 国家自然科学基金面上项目，编号:62076086,“基于非接触式多种手部模态融合识别的大规模人群身份认证关键问题研究”，58万元，2021.1-2024.12 （主持人）
[3]. 安徽省重点研发项目，“面向智能交互的高密度压力阵列足部信息获取与分析系统”，60万，2018-2020（项目合作单位负责人）
[4]. 中央高校基本业务费项目，“新一代生物特征识别体系结构研究”，30万元，2018-2019（主持人）
[5]. 国家自然科学基金面上项目，编号:61673157,“面向移动身份认证的中低分辨率掌纹识别关键问题研究”，60万元，2017.1-2020.12 （主持人）
[6]. 国家自然科学基金面上项目，编号:61175022，“基于人脸和人手信息融合的面向成人和儿童的非接触式身份鉴别方法研究”，63万元，2012.1-2015.12 （主持人）
[7]. 国家自然科学基金青年基金项目, 编号:60705007 ，“基于脚纹识别的婴幼儿身份认证关键技术研究”，20万元，2008.1-2010.12（主持人）
[8]. 合肥物质科学中心方向性培育项目,“面向民用核设施的民众风险沟通研究”40万元，2014.9-2016.9（联合负责人）
[9]. 中科院十二五信息化数据库重点项目，“领域基础科学数据整合与集成应用项目”，140万元，2013.7-2015.12（执行负责人）
[10]. 中科院青年创新促进会成员专项基金，40万元，2011.9-2015.8 （主持人）
[11]. 中科院院长奖启动基金项目，“掌纹的快速检索算法研究”，10万元，2009.7-2012.6（主持人）
[12]. 中科院智能所知识创新工程领域前沿重点项目子课题,“基于摄像机与柔性阵列传感器的双模态步态识别”，10万元，2009.1-2011.12（主持人）
[13]. 中科院合肥物质科学研究院知识创新工程青年人才项目“掌纹识别关键技术研究”，12万，2010.1-2011.12 （主持人）
获奖情况
2021年度 《中国图象图形学报》优秀编委
2018年度 合肥工业大学本科毕业设计优秀导师
学术成果
论著
[1] Y. Yu, H. Liu, Y. Fu, W. Jia, J. Yu and Z. Yan, Embedding Pose Information for Multiview Vehicle Model Recognition, IEEE Transactions on Circuits and Systems for Video Technology, 2022.
[2] Y. Zhao, W. Jia, and R. Wang, “Rethinking deinterlacing for early interlaced videos,” IEEE Transactions on Circuits and Systems for Video Technology, 2022.
[3] Y. Chen, Y. Zhao, L. Cao, W. Jia, and X. Liu, “Learning Deep Blind Quality Assessment for Cartoon Images,” IEEE Transactions on Neural Networks and Learning Systems, 2022.
[4] Y. Zhao, R. Wang, Y. Chen, W. Jia*, X. Liu, and W. Gao, “Lighter but efficient bit-depth expansion network,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 5, pp. 2063-2069, 2021.
[5] L. Zhang, Q. Duan, D. Zhang, W. Jia, and X. Wang, “AdvKin: Adversarial convolutional network for kinship verification,” IEEE transactions on cybernetics, vol. 51, no. 12, pp. 5883 - 5896, 2021.
[6] Y. Yu, H. Li, J. Wang, H. Min, W. Jia*, J. Yu, and C. Chen, “A Multilayer Pyramid Network Based on Learning for Vehicle Logo Recognition,” IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 5, pp. 3123-3134, 2021.
[7] L. Fei, B. Zhang, L. Zhang, W. Jia, J. Wen, and J. Wu, “Learning compact multifeature codes for palmprint recognition from a single training image per palm,” IEEE Transactions on Multimedia, vol. 23, pp. 2930 - 2942, 2021.
[8] L. Fei, B. Zhang, S. Teng, Z. Guo, S. Li, and W. Jia, “Joint multiview feature learning for hand-print recognition,” IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 12, pp. 9743-9755, 2020.
[9] L. Fei, B. Zhang, W. Jia, J. Wen, and D. Zhang, “Feature extraction for 3-D palmprint recognition: A survey,” IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 3, pp. 645-656, 2020.
[10] M. Cao, L. Zheng, W. Jia, H. Lu, and X. Liu, “Accurate 3-D reconstruction under IoT environments and its applications to augmented reality,” IEEE Transactions on Industrial Informatics, vol. 17, no. 3, pp. 2090-2100, 2021.
[11] M. Cao, L. Zheng, W. Jia, and X. Liu, “Joint 3D reconstruction and object tracking for traffic video analysis under IoV environment,” IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 6, pp. 3577 - 3591, 2021.
[12] Y. Zhao, R. Wang, W. Jia*, W. Zuo, X. Liu, and W. Gao, “Deep reconstruction of least significant bits for bit-depth expansion,” IEEE Transactions on Image Processing, vol. 28, no. 6, pp. 2847-2859, 2019.
[13] L. Fei, B. Zhang, Y. Xu, D. Huang, W. Jia, and J. Wen, “Local discriminant direction binary pattern for palmprint representation and recognition,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 2, pp. 468-481, 2019.
[14] L. Fei, B. Zhang, Y. Xu, Z. Guo, J. Wen, and W. Jia, “Learning discriminant direction binary palmprint descriptor,” IEEE Transactions on Image Processing, vol. 28, no. 8, pp. 3808-3820, 2019.
[15] Y. Chen, Y. Zhao, S. Li, W. Zuo, W. Jia, and X. Liu, “Blind Quality Assessment for Cartoon Images,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 9, pp. 3282-3288, 2019.
[16] X. Wu, W. Zuo, L. Lin, W. Jia, and D. Zhang, “F-SVM: Combination of feature transformation and SVM learning via convex relaxation,” IEEE transactions on neural networks and learning systems, vol. 29, no. 11, pp. 5185-5199, 2018.
[17] H. Min, W. Jia*, Y. Zhao, W. Zuo, H. Ling, and Y. Luo, “LATE: A level-set method based on local approximation of Taylor expansion for segmenting intensity inhomogeneous images,” IEEE Transactions on Image Processing, vol. 27, no. 10, pp. 5016-5031, 2018.
[18] W. Kang, Y. Lu, D. Li, and 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, vol. 14, no. 4, pp. 858-869, 2018.
[19] W. Jia, Y. Zhao, R. Wang, S. Li, H. Min, and X. Liu, “Are Recent SISR Techniques Suitable for Industrial Applications at Low Magnification?,” IEEE Transactions on Industrial Electronics, vol. 66, no. 12, pp. 9828-9836, 2018.
[20] L. Fei, G. Lu, W. Jia*, J. Wen, and D. Zhang, “Complete binary representation for 3-D palmprint recognition,” IEEE Transactions on Instrumentation and Measurement, vol. 67, no. 12, pp. 2761-2771, 2018.
[21] L. Fei, G. Lu, W. Jia, S. Teng, and D. Zhang, “Feature extraction methods for palmprint recognition: A survey and evaluation,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 2, pp. 346-363, 2018.
[22] 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 and Security, vol. 13, no. 2, pp. 465-477, 2017.
[23] W. Jia, B. Zhang, J. Lu, Y. Zhu, Y. Zhao, W. Zuo, and H. Ling, “Palmprint recognition based on complete direction representation,” IEEE Transactions on Image Processing, vol. 26, no. 9, pp. 4483-4498, 2017.
[24] W. Jia, R.-X. Hu, Y.-K. Lei, Y. Zhao, and J. Gui, “Histogram of oriented lines for palmprint recognition,” IEEE Transactions on systems, man, and cybernetics: systems, vol. 44, no. 3, pp. 385-395, 2013.
[25] R.-X. Hu, W. Jia*, H. Ling, Y. Zhao, and J. Gui, “Angular pattern and binary angular pattern for shape retrieval,” IEEE Transactions on Image Processing, vol. 23, no. 3, pp. 1118-1127, 2013.
[26] Y. Zhao, D.-S. Huang, and W. Jia, “Completed local binary count for rotation invariant texture classification,” IEEE transactions on image processing, vol. 21, no. 10, pp. 4492-4497, 2012.
[27] R. Hu, W. Jia*, H. Ling, and D. Huang, “Multiscale distance matrix for fast plant leaf recognition,” IEEE transactions on image processing, vol. 21, no. 11, pp. 4667-4672, 2012.
[28] S.-L. Wang, Y.-H. Zhu, W. Jia, and D.-S. Huang, “Robust classification method of tumor subtype by using correlation filters,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 9, no. 2, pp. 580-591, 2011.
[29] W. Jia, W. Xia, B. Zhang, Y. Zhao, L. Fei, W. Kang, D. Huang, and G. Guo, “A survey on dorsal hand vein biometrics,” Pattern Recognition, vol. 120, pp. 108122, 2021.
[30] L. Fei, B. Zhang, Y. Xu, W. Jia, J. Wen, and J. Wu, “Precision direction and compact surface type representation for 3D palmprint identification,” Pattern Recognition, vol. 87, pp. 237-247, 2019.
[31] H. Min, W. Jia*, Y. Zhao, and Y.-T. Luo, “A polynomial piecewise constant approximation method based on dual constraint relaxation for segmenting images with intensity inhomogeneity,” Pattern Recognition, vol. 73, pp. 15-32, 2018.
[32] Y.-T. Luo, L.-Y. Zhao, B. Zhang, W. Jia*, F. Xue, J.-T. Lu, Y.-H. Zhu, and B.-Q. Xu, “Local line directional pattern for palmprint recognition,” Pattern Recognition, vol. 50, pp. 26-44, 2016.
[33] H. Min, W. Jia*, X.-F. Wang, Y. Zhao, R.-X. Hu, Y.-T. Luo, F. Xue, and J.-T. Lu, “An intensity-texture model based level set method for image segmentation,” Pattern Recognition, vol. 48, no. 4, pp. 1547-1562, 2015.
[34] R.-X. Hu, W. Jia*, Y. Zhao, and J. Gui, “Perceptually motivated morphological strategies for shape retrieval,” Pattern Recognition, vol. 45, no. 9, pp. 3222-3230, 2012.
[35] R.-X. Hu, W. Jia*, D. Zhang, J. Gui, and L.-T. Song, “Hand shape recognition based on coherent distance shape contexts,” Pattern Recognition, vol. 45, no. 9, pp. 3348-3359, 2012.
[36] J. Gui, Z. Sun, W. Jia, R. Hu, Y. Lei, and S. Ji, “Discriminant sparse neighborhood preserving embedding for face recognition,” Pattern Recognition, vol. 45, no. 8, pp. 2884-2893, 2012.
[37] W. Jia, D.-S. Huang, and D. Zhang, “Palmprint verification based on robust line orientation code,” Pattern Recognition, vol. 41, no. 5, pp. 1504-1513, 2008.
[38] D.-S. Huang, W. Jia, and D. Zhang, “Palmprint verification based on principal lines,” Pattern Recognition, vol. 41, no. 4, pp. 1316-1328, 2008.[1]