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                師資隊伍
                馮建江

                副教授

                信息處理令自己研究所

                電話: 010-62795528
                地點:北京清華大〇學自動化系


                教育背景


                1996年9月-2000年7月 北京@ 郵電大學電信工程學院 學士

                2000年9月-2006年12月 北京郵電大學』電信工程學院 博士


                工作履歷


                2007.1-2007.10 香港理工大學計算機系 研究助理

                2008.1-2009.10 美國密西根州立大學計算機系 博士後

                2009.12-2012.11 清華大學自動害怕此刻化系 講師

                2012.12-2018.11 清華大學盖亚好奇自動化系 副教授

                2018.12起 清華大學自動化系 副教授(長聘)


                學術兼職


                《Image and Vision Computing》編委

                中國生物特征識別會議(CCBR 2015-2019)程序委員會主席

                國際會議(IJCB 2014, ICB 2015-2016, BTAS 2016)領域主席

                中國人工智能學會模式識別專委@會、中國計算機學會計算了算機視覺專委會委員


                研究領域


                指紋識別、計算機視覺、醫學圖像看来分析


                研究概況


                一、在研項目

                [1] 國家自然科學基金優秀青年基金,“生物特征識別”,2017.1-2019.12,負責人

                [2] 國家重點研發計劃子課題,“場景視覺感知中的相機網絡標定及多目標跟蹤關鍵技術”,2016.7-2020.6,子課題負責人

                二、結題項目

                [1] 國家自然科學基金青年基吴先生请放心金,“高分辨率掌紋識別的關鍵問題∞研究”,2010.1-2012.12,負責人

                [2] 國家自然科學基金面上項目,“現場掌紋的自動特征提取與匹配”,2014.1-2017.12,負責人


                獎勵與就扫断了至少二十棵榮譽


                一、科研獎勵及榮譽

                [1] 2018年獲國家技術發明二等獎(排名第2)

                [2] 2016年獲國家自然科學基金優秀青年基金

                [3] 2015年獲教育部自然科學二等獎(排名第1)

                [4] 2011年獲中國電子學會電子信息科學技術獎↑一等獎(排名第3)

                [5] 2011年獲教育部自然科學二等獎(排名第2)

                二、論文獎勵

                [1] 2017年獲國際生∞物特征識別聯合會議(IJCB)最佳學生論文提名獎(排名第2)

                [2] 2012年獲ICIEA最佳』論文獎(排名第2)

                [3] 2011年獲國際生物特征識別聯合會議(IJCB)最而速度最快佳學生論文獎(排名第2)

                [4] 2010年獲SIBGRAPI最佳學生論文獎(排名第3)


                學術成果


                一、指紋識別

                [1]Shan Gu, Jianjiang Feng, Jiwen Lu, Jie Zhou, “Efficient Rectification of Distorted Fingerprints”, IEEE Transactions on Information Forensics and Security, vol. 13, no. 1, pp. 156-169, 2018.

                [2]Zhe Cui, Jianjiang Feng, Shihao Li, Jiwen Lu, Jie Zhou: “2-D Phase Demodulation for Deformable Fingerprint Registration”, IEEE Transactions on Information Forensics and Security, vol. 13, no. 12, pp. 3153-3165, 2018.

                [3]Jian Li, Jianjiang Feng, C.C. Jay Kuo, “Deep Convolutional Neural Network for Latent Fingerprint Enhancement”, Signal Processing: Image Communication, vol. 60, pp. 52-63, 2018.

                [4]Xuanbin Si, Jianjiang Feng, Bo Yuan, Jie Zhou, “Dense Registration of Fingerprints”, Pattern Recognition, vol. 63, pp. 87-101, 2017.

                [5]Yijing Su, Jianjiang Feng, Jie Zhou, “Fingerprint Indexing with Pose Constraint”, Pattern Recognition, vol. 54, pp. 1-13, 2016.

                [6]Xuanbin Si, Jianjiang Feng, Jie Zhou, Yuxuan Luo, “Detection and Rectification of Distorted Fingerprints”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 3, pp. 555-568, 2015.

                [7]Xiao Yang, Jianjiang Feng, Jie Zhou, “Localized Dictionaries Based Orientation Field Estimation for Latent Fingerprints”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 5, pp. 955-969, 2014.

                [8]Jianjiang Feng, Jie Zhou, Anil K. Jain, “Orientation Field Estimation for Latent Fingerprint Enhancement”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 4, pp. 925-940, 2013.

                [9]Alessandra A. Paulino, Jianjiang Feng, Anil K. Jain, “Latent Fingerprint Matching Using Descriptor-Based Hough Transform”, IEEE Transactions on Information Forensics and Security, vol. 8, no. 1, pp. 31-45, 2013.

                [10]Yao Yi, Liangcai Cao, Wei Guo, Yaping Luo, Jianjiang Feng, Qingsheng He, Guofan Jin, “Optical Fingerprint Recognition Based on Local Minutiae Structure Coding”, Optics Express, vol. 21, no. 14, pp. 17108-17121, 2013.

                [11]Jianjiang Feng, Yuan Shi, Jie Zhou, “Robust and Efficient Algorithms for Separating Latent Overlapped Fingerprints”, IEEE Transactions on Information Forensics and Security, vol. 7, no. 5, pp. 1498-1510, 2012.

                [12]Jifeng Dai, Jianjiang Feng, Jie Zhou, “Robust and Efficient Ridge-Based Palmprint Matching”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 8, pp. 1618-1632, 2012.

                [13]Soweon Yoon, Jianjiang Feng, and Anil K. Jain, “Altered Fingerprints: Analysis and Detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 3, pp. 451-464, 2012.

                [14]Fanglin Chen, Jianjiang Feng, Anil K. Jain, Jie Zhou, Jin Zhang, “Separating Overlapped Fingerprints”, IEEE Transactions on Information Forensics and Security, vol. 6, no. 2, pp. 346-359, 2011.

                [15]Jianjiang Feng, Anil K. Jain, “Fingerprint Reconstruction: From Minutiae to Phase”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 2, pp. 209-223, 2011.

                [16]Anil K. Jain, Jianjiang Feng, “Latent Fingerprint Matching”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 1, pp. 88-100, 2011.

                [17]Anil K. Jain, Jianjiang Feng, Karthik Nandakum, “Fingerprint Matching”, IEEE Computer Magazine, vol. 43, no. 2, pp. 36-44, 2010.

                [18]Anil K. Jain, Jianjiang Feng, “Latent Palmprint Matching”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no 6, pp. 1032-1047, 2009.

                [19]Jianjiang Feng, “Combining Minutiae Descriptors for Fingerprint Matching”, Pattern Recognition, vol. 41, no. 1, pp. 342-352, 2008.

                [20]Jianjiang Feng, Zhengyu Ouyang, Anni Cai, “Fingerprint Matching Using Ridges”, Pattern Recognition, vol. 39, no. 11, pp. 2131-2140, 2006.

                二、計算機視覺

                [1]Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, Jie Zhou, “Learning Deep Binary Descriptor with Multi-Quantization”, IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2018.2858760, 2018.

                [2]Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Ordinal Deep Learning for Facial Age Estimation”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 2, pp. 486-501, 2019.

                [3]Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Deep Localized Metric Learning”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 10, pp. 2644-2656, 2018.

                [4]Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Two-Stream Transformer Networks for Video-Based Face Alignment”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 11, pp. 2546-2554, 2018.

                [5]Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Context-Aware Local Binary Feature Learning for Face Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 5, pp. 1139-1153, 2018.

                [6]Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Label-Sensitive Deep Metric Learning for Facial Age Estimation”, IEEE Transactions on Information Forensics and Security, vol. 13, no. 12, pp. 292-305, 2018.

                [7]Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Topology Preserving Structural Matching for Automatic Partial Face Recognition”, IEEE Transactions on Information Forensics and Security, vol. 13, no. 7, pp. 1823-1837, 2018.

                [8]Xiaojuan Cheng, Jiwen Lu, Jianjiang Feng, Bo Yuan, Jie Zhou, “Scene Recognition with Objectness”, Pattern Recognition, vol. 74, pp. 474-487, 2018.

                [9]Xin Yuan, Zhixiang Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Reconstruction-Based Supervised Hashing”, Pattern Recognition, vol. 79, pp. 147-161, 2018.

                [10]Zhixiang Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Nonlinear Structural Hashing for Scalable Video Search”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 6, pp. 1421-1433, 2018.

                [11]Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Group-Aware Deep Feature Learning for Facial Age Estimation”, Pattern Recognition, vol. 66, pp. 82-94, 2017.

                [12]Liangliang Ren, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Multi-modal Uniform Deep Learning for RGB-D Person Re-identification”, Pattern Recognition, vol. 72, pp. 446-457, 2017.

                [13]Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Learning Deep Sharable and Structural Detectors for Face Alignment”, IEEE Transactions on Image Processing, vol. 26, no. 4, pp. 1666-1678, 2017.

                [14]Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Learning Rotation-Invariant Local Binary Descriptor”, IEEE Transactions on Image Processing, vol. 26, no. 8, pp. 3636-3651, 2017.

                [15]Zhixiang Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Nonlinear Discrete Hashing”, IEEE Transactions on Multimedia, vol. 19, no. 1, pp. 123-135, 2017.

                [16]Zhixiang Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou, “Nonlinear Sparse Hashing”, IEEE Transactions on Multimedia, vol. 19, no. 9, pp. 1996-2009, 2017.

                [17]Kailin Ge, Han Hu, Jianjiang Feng, Jie Zhou, “Depth Estimation Using a Sliding Camera”, IEEE Transactions on Image Processing, vol. 25, no. 2, pp.726-739, 2016.

                [18]Han Hu, Jianjiang Feng, Jie Zhou, “Exploiting Unsupervised and Supervised Constraints for Subspace Clustering”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 8, pp. 1542-1557, 2015.

                [19]Xianwei Xu, Lu Tian, Jianjiang Feng, Jie Zhou, “OSRI: A Rotationally Invariant Binary Descriptor”, IEEE Transactions on Image Processing, vol. 23, no. 7, pp. 2983-2995, 2014.

                [20]Han Hu, Jianjiang Feng, Chuan Yu, Jie Zhou, “Multi-class Constrained Normalized Cut with Hard, Soft, Unary and Pairwise Priors”, IEEE Transactions on Image Processing, vol. 22, no. 11, pp. 4328-4340, 2013.

                三、醫學圖像分析

                [1]Cheng Jin, Jianjiang Feng, Lei Wang, Jiang Liu, Heng Yu, Jiwen Lu, Jie Zhou, “Left Atrial Appendage Segmentation Using Fully Convolutional Neural Networks and Modified Three-dimensional Conditional Random Fields”, IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 6, pp. 1906-1916, 2018.

                [2]Cheng Jin, Jianjiang Feng, Lei Wang, Heng Yu, Jiang Liu, Jiwen Lu, Jie Zhou, “Left Atrial Appendage Segmentation and Quantitative Assisted Diagnosis of Atrial Fibrillation Based on Fusion of Temporal-Spatial Information”, Computers in Biology and Medicine, vol. 96, pp. 52-68, 2018.

                四、開設課程

                本科生《數字圖象處理》,研究生《信息論基礎》