1. R. Singh, M. Vatsa, V. M. Patel, and N. Ratha, Domain Adaptation for Visual Understanding, Springer Nature, 2020. (link)
  2. T. Bourlai, P. Karampelas and V. M. Patel, Securing social identity in mobile platforms — technologies for social network analysis and identity management, Springer, 2020. (link)
  3. V. M. Patel and R. Chellappa, Sparse representations and compressive sensing for imaging and vision, SpringerBriefs, 2013. (link)

Book Chapters

  1. P. Perera, J. Fierrez, and V. M. Patel, “Quickest multiple user active authentication,” Se- curing Social Identity in Mobile Platforms – Technologies for Social Network Analysis and Identity Management, T. Bourlai, P. Karampelas, and V. M. Patel (Eds.), Springer 2020.
  2. S. Ghosh, R. Singh, M. Vatsa, N. Ratha, and V. M. Patel, “Domain adaptation for visual understanding, in Domain Adaptation for Visual Understanding,” R. Singh, M. Vatsa, N. Ratha, and V. M. Patel (Eds.), Springer 2019.
  3. V. M. Patel and H. V. Nguyen, “Domain adaptation using dictionaries,” in Computer Vision: A Reference Guide, K. Ikeuchi (Ed.), Springer 2019.
  4. P. Perera and V. M. Patel, “Active authentication on mobile devices,” in Selfie Biometrics, A. Rattani, R. Derakhshani, and A. Ross (Ed.), Springer 2019.
  5. H. Zhang and V. M. Patel, “Discriminative sparse representations”, in Handbook of Convex Optimization Methods in Imaging Science, V. Monga (Ed.), Springer 2016.
  6. X. Di and V. M. Patel, “Deep learning for tattoo recognition”, in Deep Learning for Biometrics, B. Bhanu and A. Kumar (Eds.), Springer, 2016.<
  7. J-C. Chen, R. Ranjan, V. M. Patel, C. D. Castillo, and R. Chellappa, “Unconstrained face identification and verification using deep convolutional features”, in Deep Learning in Biometrics, R. Singh, M. Vatsa, and A. Majumdar (Eds.), CRC/Tayler & Francis Press, 2016.
  8. J. Zheng, V. M. Patel and R. Chellappa, “Recent developments in video-based face recognition”, in Biometrics and Forensic Science, M. Tistarelli (Ed.), Springer, 2016
  9. P. Samangouei, E. Hand, V. M. Patel, and R. Chellappa, “Active authentication using facial attributes”, in Mobile Biometrics, G. Guo and H. Weschler (Eds.), IET, 2016.
  10. R. Chellappa and V. M. Patel, “Sparse and low-rank models for visual domain adaptation”, in Pattern Recognition: From Classical to Modern Approaches, S. K. Pal and A. Pal (Eds.), World Scientific, 2015.
  11. V. M. Patel, J. Ni and R. Chellappa, “Remote identification of faces”, in Signal and Image Processing for Biometrics: State of the Art and Recent Advances, J. Scharcanski, H. Proenca, and E. Du (Eds.), Springer, 2014.
  12. V. M. Patel, J. Ni and R. Chellappa, “Remote face recognition”, in Encyclopedia of Biometrics 2nd Ed., S. Z. Li and A. K. Jain (Eds.), Springer, 2013.
  13. V. M. Patel and R. Chellappa, “Dictionary-based methods for object recognition”, in Handbook of Statistics: Machine Learning Volume 31, V. Govindaraju and C. R. Rao (Eds.), Elsevier-North Holland, 2012.
  14. V. M. Patel and R. Chellappa, “Approximation methods for the recovery of shapes and images from gradients”, in Excursions in Harmonic Analysis: The February Fourier Talks at the Norbert Wiener Center, T. Andrews, R. Balan, J. J. Benedetto, W. Czaja, and K. koudjou (Eds.), Springer, 2012.
  15. J. K. Pillai, V. M. Patel, R. Chellappa, and N. K. Ratha, “Robust and secure iris recognition”, in Handbook of Iris Recognition, M. J. Burge and K. W. Bowyer (Eds.), Springer-Verlag, 2012.
  16. V. M. Patel, J. K. Pillai, and R. Chellappa, “Image and video-based biometrics”, in Visual Analysis of Humans: Looking at People, T. B. Moeslund, A. Hilton, V. Kruger, and L. Sigal (Eds.), Springer-Verlag, 2011.