Cunjian Chen

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Postdoctoral Fellow at Michigan State University
Department of Computer Science and Engineering
Michigan State University

Contact

Engineering Building, East Lansing, MI 48824
cunjian AT msu.edu

Biography

I received Master and Ph.D. degrees in Computer Science from West Virginia University, in 2011 and 2014 respectively, supervised by Dr. Arun Ross. From August 2013 to August 2014, I am also a Visiting Scholar in the Department of Computer Science Engineering at Michigan State University.

Research Interests

  • Biometrics

  • Pattern Recognition

  • Image Processing

  • Machine Learning

Book Chapters

  1. Soft Biometrics for Surveillance: An Overview
    D. Reid, S. Samangooei, C. Chen, M. S. Nixon, A. Ross
    in Handbook of Statistics, Vol. 31, C. R. Rao and V. Govindaraju (Eds.), Elsevier 2013.

Conferences

  1. Evaluation of Texture Descriptors for Automated Gender Estimation from Fingerprints
    A. Rattani, C. Chen, A. Ross,
    Proc. of ECCV Workshop on Soft Biometrics, (Zurich, Switzerland), September 2014.
    PDF Bibtex

  2. Impact of Facial Cosmetics on Automatic Gender and Age Estimation Algorithms
    C. Chen, A. Dantcheva, A. Ross
    Proc. of 9th International Conference on Computer Vision Theory and Applications (VISAPP), (Lisbon, Portugal), January 2014.
    PDF Bibtex

  3. Automatic Facial Makeup Detection with Application in Face Recognition
    C. Chen, A. Dantcheva, A. Ross
    Proc. of 6th IAPR International Conference on Biometrics, (Madrid, Spain), June 2013.
    PDF Bibtex

  4. Local Gradient Gabor Pattern (LGGP) with Applications in Face Recognition, Cross-spectral Matching and Soft Biometrics
    C. Chen and A. Ross
    Proc. of SPIE Biometric and Surveillance Technology for Human and Activity Identification X, (Baltimore, USA), May 2013.
    PDF Bibtex

  5. Can Facial Cosmetics Affect the Matching Accuracy of Face Recognition Systems?
    A. Dantcheva, C. Chen, A. Ross
    Proc. of 5th IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), (Washington DC, USA), September 2012.
    PDF Bibtex

  6. Predicting Gender and Weight from Human Metrology Using a Copula Model
    D. Cao, C. Chen, D. Adjeroh, A. Ross
    Proc. of 5th IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), (Washington DC, USA), September 2012.
    PDF Bibtex

  7. A Study on Using Mid-wave Infrared Images for Face Recognition
    T. Bourlai, A. Ross, C. Chen, L. Hornak
    Proc. of SPIE Biometric and Surveillance Technology for Human and Activity Identification X, (Baltimore, USA), May 2012.
    PDF Bibtex

  8. Evaluation of Gender Classification Methods on Thermal and Near-infrared Face Images
    C. Chen and A. Ross
    International Joint Conference on Biometrics (IJCB), (Washington DC, USA), October 2011.
    PDF Bibtex

  9. Can Facial Metrology Predict Gender?
    D. Cao, C. Chen, M. Piccirilli, D. Adjeroh, T. Bourlai, A. Ross
    International Joint Conference on Biometrics (IJCB), (Washington DC, USA), October 2011.
    PDF Bibtex

  10. Can Gender be Predicted from Near-Infrared Face Images?
    A. Ross and C. Chen
    Proc. of International Conference on Image Analysis and Recognition (ICIAR), (Burnaby, Canada), June 2011.
    PDF Bibtex

Dataset & Code

Professional Activities

  • IEEE Student Member

  • Reviewer of Journals: T-IP, T-IFS, CVIU, IVC, PRL, EURASIP, IPL

  • Reviewer of Conferences: BTAS, CVPR Workshop, ICIP, ICPR, IJCB, ISPA, ICNNSP, ICICS, WACV

Related Skills

  • Programming using MATLAB, C, C++

  • Sufficient knowledge with OpenCV and Python

Selected Courses

Machine Learning, Pattern Recognition, Advanced Biometrics, Computer Vision, Advanced Computer Vision, Advanced Image Processing, Computational Photography, Medical Image Processing