电子工程系

Department of Electronic Engineering 

 

Shengjin WANG, Ph.D. Professor

Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

Tel: (+8610) 62773710 (ext.303)

E-mail: wgsgj@tsinghua.edu.cn

 

Education background

DEPARTMENT OF the Precision and Intelligence Laboratory, Tokyo Institute of Technology, 1997

Doctor of ENGINEERING

DEPARTMENT OF ELECTRONIC ENGINEERING, Beijing Broadcasting Institute, Beijing, China, 1988

Master of ENGINEERING

DEPARTMENT OF ELECTRONIC ENGINEERING, TSINGHUA UNIVERSITY, BEIJING, CHINA, 1985

Bachelor of ENGINEERING

 

Experience

Professor (9/2003 – present)

DEPARTMENT OF ELECTRONIC ENGINEERING, TSINGHUA UNIVERSITY, BEIJING, CHINA

Assistant Manager( 04/2001-08/2003)

Internet System Research Laboratories, NEC Corporation, Japan,

Research Staff, (04/1997-03/2001)

Internet System Research Laboratories, NEC Corporation, Japan

Research Assistant, (09/1992 – 09/1993)

Precision and Intelligence Laboratory, Tokyo Institute of Technology, Tokyo, Japan

Research Assistant, (02/1988 - 04/1992)

Dept. of Communication Engineering, Beijing Broadcasting Institute , Beijing, China

 

Concurrent Academic

Undergraduate

Digital Image Processing

Graduate

Virtual Reality and Multimedia Interface

 

Areas of Research Interests/ Research Projects

Computer Vision and Pattern Recognition

Video Surveillance

Automatic Target Recognition

Object Detection and Tracking

EEG signal recognition and Brain Computer Interface

 

Academic Achievement

Publications:

[30] Liang Zheng, Shengjin Wang, Liyue Shen, Lu Tian, Qi Tian, S Scalable Person Re-identification: A Benchmark, ICCV2015, Santiago, Chile, Dec.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
[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.
[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)
[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)
[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
[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
[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)
[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.
[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
[19] Jie Liu, Shengjin Wang, Salient Region Detection via Simple Local and Global Contrast Representation, Neurocomputing, Pages 435-443, Volume 147, 5 January 2015
[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
[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)
[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.
[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,影响因子1.776)
[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,影响因子0.443;EI收录,检索号:20144300116846)
[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
[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.
[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.
[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)
[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)
[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
[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
[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
[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.
[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
[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
[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
[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