清華大學電子系教授，媒體大數據認知計算研究中心主任，兼任中國圖象圖形學學會視頻監控與安全專委會主任、北京圖象圖形學會副理事長、全國安防標委會人體生物特徵識別套用分技術委員會委員、公安部安全防範技術與風險評估公安部重點實驗室學術委員會委員、自動化學會國防大數據分會副主任委員、危爆品掃描探測國家工程實驗室副主任。
多年從事圖像分析、目標檢測與識別、智慧型視頻分析、生物特徵識別、計算機視覺和模式識別等方面研究工作。在行人再識別（Person ReID）研究領域具有國際領先的研究成果，貢獻了Person ReID研究領域3個大型公開圖像數據集。作為起草人之一，制定中華人民共和國公共安全行業標準《安全防範系統生物特徵識別套用術語》和國家標準《安全防範視頻監控數字視音頻編解碼技術要求（SVAC）》。
基本介紹
- 中文名：王生進
- 國籍：中國
- 民族：漢族
- 職業：教授
- 性別：男
個人履歷,科研成果,科研項目,學術兼職,發表論文,
個人履歷
多年從事圖像分析、目標檢測與識別、智慧型視頻分析、生物特徵識別、計算機視覺和模式識別等方面研究工作。以目標檢測和識別、目標跟蹤、行為分析為基礎，構建對於國家安全和公共安全有重大需求的智慧型視頻分析系統。近年來，研究團隊獲得了包括863、國家自然科學基金、教育部博士點基金等多個國家項目支持，並取得出色成果。
科研成果
王生進教授團隊在行人再識別（Person ReID）研究領域具有國際領先的研究成果，學術論文覆蓋計算機視覺、人工智慧頂級期刊（TPAMI、TIP）、頂級國際會議（ICCV、CVPR、ECCV）。MIT Technology Review給予高度評價。同時，團隊貢獻了Person ReID研究領域3個大型公開圖像數據集，Market-1501，iLID-VID及視頻數據集MARS。其中iLID-VID下載超過3700次。SVDNet方法論文被評選為ICCV2017 spotlight，RPP方法刷新國際最高水平。目前，相關技術開始在安防領域展開試用。在兩個典型行人序列數據集上，所開發的新方法準確率分別比現有最好方法提高了5.7%和16.3%，在平安城市視頻監控套用領域具有良好潛力，國際權威期刊IEEE PAMI發表了這項成果。
2018年，學術論文“Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval”獲得2018年國際模式識別大會（ICPR2018）最佳學術論文獎。
作為起草人之一，制定中華人民共和國公共安全行業標準《安全防範系統生物特徵識別套用術語》和國家標準《安全防範視頻監控數字視音頻編解碼技術要求（SVAC）》。
科研項目
1.國家支撐計畫項目、2003CB314904、多源信息關聯整合與共享聯動技術與系統研發、子課題主持。
2.國家863計畫項目、2012AA011004、海量不確定異構數據的集成管理與分析技術、子課題主持。
3.國家自然科學基金項目，61071135、重現的行人目標數據關聯和深度跟蹤理論及方法研究、主持。
4.教育部博士點基金項目、20090002110077、基於線上特徵學習的人形表象數據關聯方法及其套用研究、主持。
5.國家863計畫項目、2006AA01Z115、基於人類視覺感知和認知機理的視頻圖像模式識別和機器學習、主持。
學術兼職
中國圖象圖形學會視頻監控與安全專委會主任
北京圖象圖形學會副理事長
全國安防標委會人體生物特徵識別套用分技術委員會委員
公安部安全防範技術與風險評估公安部重點實驗室學術委員會委員
自動化學會國防大數據分會副主任委員
危爆品掃描探測國家工程實驗室副主任
發表論文
[1]Yun Lei, Xiaoqing Ding, and Shengjin Wang. Visual Tracker Using Sequential Bayesian Learning: Discriminative, Generative and Hybrid, IEEE Trans. on Systems, Man And Cybernetics-Part B, Vol.38, No.6, pp.1578-1591, December, 2008。SCI 378GZ
[2]Yali Li, Shengjin Wang, Xiaoqing Ding, Eye/eyes tracking based on a unified deformable template and particle filtering, Pattern Recognition Letters, Volume: 31, Issue: 11, pp.1377-1387, AUG 2010 . SCI: 000279834800018, or SCI: IDS Number: 624QO。SCI 624QO
[3]Yali Li, Shengjin Wang, and Xiaoqing Ding, Person-Independent Head Pose Estimation Based On Random Forrest Regression. In Proceedings of International Conference on Image Processing (ICIP2010), pp.1521-1524, September 26-29, 2010, Hong Kong. EI 20110213575002, Inspec 11690716
[4]Gu Junxia, Ding Xiaoqing, Wang Shengjin, Wu Youshou. Action and gait recognition from recovered 3D human joints. IEEE Transactions on Systems, Man, and Cybernetics, Part B，Vol.40, No.4, pp.1021-1033, August, 2010 （SCI源刊). SCI 656PJ
[5]Liang Zheng, Shengjin Wang. Visual phraselet: refining spatial constraints for large scale image search. IEEE Signal Processing Letters, Vol. 20, No. 4, pp. 391-394, April, 2013.
[6]Liang Zheng, Shengjin Wang, Ziqiong Liu, Qi Tian. Lp-norm IDF for large scale image search. IEEE Conference on Computer Vision and Pattern Recognition (CVPR2013), pp. 1626-1633, June 23-28, 2013，Portland, OR, United states, EI 20134616982674
[7]Liang Zheng, Shengjin Wang, Ziqiong Liu, Qi Tian,Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval, CVPR2014, pp. 1963-1970, in Columbus, Ohio, USA, June, 2014
[8]Liang Zheng, Shengjin Wang, Ziqiong Liu, Qi Tian,Packing and Padding: Coupled Multi-index for Accurate Image Retrieval, CVPR2014, pp. 1947-1954, in Columbus, Ohio, USA, June, 2014
[9]Taiqing Wang, Shengjin Wang, Xiaoqing Ding，Detecting Human Action as Spatio-Temporal Tube of Maximum Mutual Information，IEEE Transactions on Circuits and Systems for Video Technology, pp.277-290, Vol.24, No.2, 2014, DOI:10.1109/TCSVT.2013.2276856 （SCI）
[10]Yuan LIN, Shengjin WANG, Pose-free Face Swapping Based on a Deformable 3D Shape Morphable Model, IEICE Transactions on Information and Systems, pp. 305-314,Vol.E97-D,No.2, Feb. 2014 (SCI)
[11]Liang Zheng, Shengjin Wang, and Qi Tian, Coupled Binary Embedding for Scalable Image Retrieval, IEEE Transactions on Image Processing, Vol 23, No. 8, pp. 3368-3380, June, 2014.
[12]Liang Zheng, Shengjin Wang, and Qi Tian, Lp-norm IDF for Scalable Image Retrieval, IEEE Transactions on Image Processing, Vol 23, No. 8, pp. 3604-3617, June, 2014.
[13]Ziqiong Liu, Shengjin Wang, Liang Zheng, Qi Tian, Visual Reranking with improved image graph, ICASSP2014(International Conference On Acoustics Speech and Signal Processing), IEEE catalog number: CFP14ICA-USB,pp.6939-6943,4-9 May 2014 in Florence, Italy. ISBN: 978-1-4799-2892-7
[14]Liang Zheng, Shengjin Wang, Peizhen Guo, Hanyue Liang, and Qi Tian, Tensor Index for Large Scale Image Retrieval, Multimedia Systems, Oct. 2014 (SCI源刊，影響因子0.443；EI收錄，檢索號：20144300116846)
[15]Zheng L, Wang S, Liu Z, Tian Q. Fast Image Retrieval: Query Pruning and Early Termination. IEEE Transactions on Multimedia, 2014, 17(5): 648-659. (SCI源刊，影響因子1.776)
[16]Taiqing Wang, Shaogang Gong, Shengjin Wang, Discriminative Video Matching for Person Re-Identication, European Conference on Computer Vision （ECCV2014）, September 8-12, 2014, pp.688-703, Zurich, Switzerland.
[17]Yali Li, Shengjin Wang, Qi Tian, Xiaoqing Ding, Learning Cascaded Shared-Boost Classifiers for Part-based Object Detection, IEEE Transactions on Image Processing, pp.1858-1871,Volume:23,No.4, 2014. DOI: 10.1109/ TIP.2014.2307432（SCI）
[18]Fei He and Shengjin Wang, Beyond χ2 Difference: Learning Optimal Metric for Boundary Detection, IEEE Signal Processing Letters, Vol 22, No. 1, pp. 40-44, Jan. 2015
[19]Jie Liu, Shengjin Wang, Salient Region Detection via Simple Local and Global Contrast Representation, Neurocomputing, Pages 435-443, Volume 147, 5 January 2015
[20]Xu Zhang, Fei He, Lu Tian, Shengjin Wang, Cognitive Pedestrian Detector: Adapting Detector to Specific Scene by Transferring Attributes, Neurocomputing, Pages 800-810, Volume 149, Part B, 3 February 2015
[21]Liang Zheng, Shengjin Wang, Lu Tian, Fei He, and Qi Tian, "Black Sheep Out: Query Adaptive Fusion for Image Search and Person Re-identification", International Conference on Computer Vision and Pattern Recognition (CVPR2015), pp. 1741-1750, in Boston, USA, June, 2015.
[22]Lu Tian, Shengjin Wang, Person Re-identification as Image Retrieval Using Bag of Ensemble Colors, IEICE Transactions on Information and Systems, Vol.E98-D,No.1,pp. 180-188, Jan. 2015 (SCI)
[23]Yali Li, Shengjin Wang, Qi Tian, Xiaoqing Ding, A survey of recent advances in visual feature detection, Neurocomputing, Pages 736–751, Volume 149, Part B, 3 February 2015
[24]Yali Li, Shengjin Wang, Qi Tian, Xiaoqing Ding, Feature representation for statistical learning based object detection: a review, Pattern Recognition, pp.3542-3559, vol.48, 2015
[25]Yali Li, Shengjin Wang, Qi Tian, Xiaoqing Ding, A Boosting Approach to Exploit Instance Correlations for Multi-Instance Classification, IEEE Transactions on Neural Networks and Learning Systems, 2015 (Accepted)
[26]Taiqing Wang, Shaogang Gong, Xiatian Zhu,Shengjin Wang, Re-Identification by Discriminative Selection in Video Ranking, IEEE Transactions on Pattern Recognition and Machine Intelligence, 2015, submitted to PAMI 2014 (Now Major)
[27]Dong Li, Yali Li, Shengjin Wang, Selective Parts for Fine-Grained Recognition, In Proceedings of International Conference on Image Processing (ICIP2015), Quebec, Canada, Sept. 2015, will be published.
[28]Xu Zhang, Felix Xinnan Yu, Ruiqi Guo, Sanjiv Kumar, Shengjin Wang, Shih-Fu Chang, Fast Orthogonal Projection Based on Kronecker Product, ICCV2015, Santiago, Chile, Dec.2015, Accepted
[28] Ziqiong Liu, Shengjin Wang, Qi Tian, Fine-residual VLAD for image retrieval, Neurocomputing, 2015, Accepted
[28] Ziqiong Liu, Shengjin Wang, Qi Tian, Fine-residual VLAD for image retrieval, Neurocomputing, 2015, Accepted
[29]Xu Zhang, Felix Xinnan Yu, Ruiqi Guo, Sanjiv Kumar, Shengjin Wang, Shih-Fu Chang, Fast Orthogonal Projection Based on Kronecker Product, ICCV2015, Santiago, Chile, Dec.2015, Accepted
[28] Ziqiong Liu, Shengjin Wang, Qi Tian, Fine-residual VLAD for image retrieval, Neurocomputing, 2015, Accepted
[28] Ziqiong Liu, Shengjin Wang, Qi Tian, Fine-residual VLAD for image retrieval, Neurocomputing, 2015, Accepted
[30]Liang Zheng, Shengjin Wang, Liyue Shen, Lu Tian, Qi Tian, S Scalable Person Re-identification: A Benchmark, ICCV2015, Santiago, Chile, Dec.2015, Accepted
[31] Dong Li, Yali Li, Shengjin Wang, Discriminative Middle-Level Parts Mining for Object Detection, IEICE Transactions on Information and Systems, Vol.E98-D, No.11, pp.1950-1957, Jan. 2015 (SCI).
[32] Liang Zheng, Shengjin Wang, Jingdong Wang, and Qi Tian, "Accurate Image Search with Multi-Scale Contextual Evidences", International Journal of Computer Vision (IJCV), 2016:1-13, 2016.
[33] Hongchuan Liu, Yali Li, Hongma Liu, Shengjin Wang, Bagging Regularized Common Spatial Pattern With Hybrid Motor Imagery and Myoelectric Signal, ICASSP2016, May, 2016, shanghai, China.
[34] Dong Li, Jia-Bin Huang, Yali Li, Shengjin Wang, Ming-Hsuan Yang, Weakly Supervised Object Localization with Progressive Domain Adaptation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR2016), Las Vegas, USA, June, 2016.
[35] Liang Zheng, Zhi Bie, Yifan Sun, Jingdong Wang, Chi Su, Shengjin Wang*,Qi Tian, MARS: A Video Benchmark for Large-Scale Person Re-Identification, ECCV2016, 17 September 2016.
[36] Dong Li, Shengjin Wang, Unsupervised Visual Representation Learning by Graph-based Consistent Constraints, ECCV2016.
[37] Li Yali, Liu Hongma, Wang Shengjin. Exploiting eeg channel correlations in p300 speller paradigm for brain-computer interface[J]. IEICE TRANSACTIONS on Information and Systems, 2016, 99(6): 1653-1662.（SCI源刊.影響因子0.411）
[38] Ziqiong Liu, Shengjin Wang, Qi Tian, Robust ImageGraph: Rank-Level Feature Fusion for Image Search, IEEE Transactions on Image Processing, pp. 3128-3141, Volume: 26, No.7, 2017.(SCI).
[39] Jingchun Cheng, Sifei Liu, Yi-Hsuan Tsai, Wei-Chih Hung, Shalini De Mello, Jinwei Gu, Jan Kautz, Shengjin Wang, Ming-Hsuan Yang, Learning to Segment Instances in Videos with Spatial Propagation Network, The 2017 DAVIS Challenge on Video Object Segmentation - CVPR 2017 Workshops. Win 6th Place Award.
[40] Zhongdao Wang, Luming Tang, Xihui Liu, Zhuliang Yao, Shuai Yi, Jing Shao, Junjie Yan,Shengjin Wang, Hongsheng Li, Xiaogang Wang, Orientation Invariant Feature Embedding and Spatial Temporal Re-ranking for Vehicle Re-identification, ICCV2017, Venice, Italy, Oct. 2017.
[41] Yifan Sun, Liang Zheng, Shengjin Wang, SVDNet for Pedestrian Retrieval, ICCV2017, Venice, Italy, Oct. 2017.
[42] Jingchun Cheng, Shengjin Wang, Ming-Hsuan Yang, SegFlow: Joint Learning for Video Object Segmentation and Optical Flow, ICCV2017, Venice, Italy, Oct. 2017.
[43] Dangdang Chen, Lanqing He, Shengming Yu, and Shengjin Wang. An Efficient and Accurate Face Verification Method Based on CNN Cascade Architeture. Proc of CAAI, 2017: 534-540.
[44] Shu Han, Chen Dangdang, Li Yali, Wang Shengjin. A highly accurate facial region network for unconstrained face detection[C]// Image Processing(ICIP), 2017 IEEE International Conference on. IEEE, 2017:665-669.
[45] Jingchun Cheng, Shengjin Wang, Ming-Hsuan Yang, Fast and Accurate Online Video Object Segmentation via Tracking Parts, CVPR2018, Jun 19, 2018 - Jun 21, 2018, Salt Lake City, USA
[46] Lingxiao Wang, Yali Li, Shengjin Wang, Feature Learning For One-Shot Face Recognition, ICIP2018, October 7-10, 2018, Athens, Greece.
[47] Qin Xu, Yifan Sun, Yali Li, Shengjin Wang, Improving Deep Representations with Feature Alignment Layer for Person Retrieval, ICPR2018, August 2018. (Best Paper Award)
[48] Dong Li, Jia-Bin Huang, Yali Li, Shengjin Wang and Ming-Hsuan Yang, Progressive Representation Adaptation for Weakly Supervised Object Localization, IEEE Trans PAMI, accepted in Jan. 2019.
[49] Yifan Sun, Liang Zheng, Shengjin Wang, Beyond Part Models: Person Retrieval with Refined Part Pooling, ECCV2018, September, 2018. Munich, Germany.
[50] Jianqiang Wang, Yali Li, Shengjin Wang, A Highly Accurate Feature Fusion Network For Vehicle Detection In Surveillance Scenarios, BMVC2018, September 3, Newcastle, UK.
[51] Xiudong Wang, Yali Li, Shaodi You, Hongdong Li, and Shengjin Wang, Unidirectional Representation Based Efficient Dictionary Learning, IEEE Transactions on Circuits and Systems for Video Technology, page(s): 1-16 Print ISSN: 1051-8215 Online ISSN: 1558-2205 Digital Object Identifier: 10.1109/TCSVT.2018.2886600
[52] Yuxuan Zhu, Yali Li, Shengjin Wang, Unsupervised Deep Hashing with Adaptive Feature Learning for Image Retrieval, IEEE Signal Processing Letters, IEEE Signal Processing Letters On page(s): 1--5 Print ISSN: 1070-9908 Online ISSN: 1558-2361 Digital Object Identifier: 10.1109/LSP.2019.2892233
[53] Zhongdao Wang, Shengjin Wang, Linkage Based Face Clustering via Graph Convolution Network, CVPR2019, accepted
[54] Yifan Sun, Qin Xu, Yali Li, Chi Zhang, Shengjin Wang*, Jian Sun, Learning Visibility-aware Part-level Features with Self-supervision for Partial Person Re-identification, CVPR2019, accepted
[55] Yue Zheng, Yali Li, Shengjin Wang, Intention Oriented Image Captions with Guiding Objects, CVPR2019, accepted
