From Deep Unsupervised to Supervised Models for Face Analysis

FG 2017 Tutorial


This tutorial focuses on

  • Face Analysis
  • Deep Learning

  • For more detail, please find tutorial slides here.

    References:

  • M. Singh, S. Nagpal, R. Singh, and M. Vatsa, Class Representative Autoencoder for Low Resolution Multi-Spectral Gender Classification, IEEE International Joint Conference on Neural Networks, 2017.
  • D. Yadav, N. Kohli, S. Nagpal, M. Singh, P. Pandey, M. Vatsa, R. Singh and A. Noore, Region-specific fMRI Dictionary for Decoding Face Verification, International Joint Conference on Neural Networks, 2017.
  • I. Manjani, S. Tariyal, M. Vatsa, R. Singh, A. Majumdar, Detecting Silicone Mask based Presentation Attack via Deep Dictionary Learning, IEEE Transactions on Information Forensics and Security, Volume 12, No. 7, pp. 1713-1723, 2017.
  • G. Goswami, M. Vatsa, and R. Singh, Face Verification via Learned Representation on Feature-Rich Video Frames, IEEE Transactions on Information Forensics and Security, Volume 12, No. 7, pp. 1686-1698, 2017.
  • A. Majumdar, R. Singh, and M. Vatsa, Face Recognition via Class Sparsity based Supervised Encoding, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
  • A. Bharati, R. Singh, M. Vatsa, and K. Bowyer, Detecting Facial Retouching Using Supervised Deep Learning, IEEE Transactions on Information Forensics and Security, Volume 11, no. 9, pp. 1903-1913, Sept 2016.
  • S. Tariayal, A. Majumdar, R. Singh, and M. Vatsa, Deep Dictionary Learning, IEEE Access, 2016


  • Presenters:

    Richa Singh
    Associate Professor, Infosys Center for Artificial Intelligence, IIIT Delhi, India
    Adjunct Associate Professor and Visiting Faculty, West Virginia University, USA
    rsingh@iiitd.ac.in; richa.singh@mail.wvu.edu

    Mayank Vatsa
    Associate Professor, Infosys Center for Artificial Intelligence, IIIT Delhi, India
    Adjunct Associate Professor and Visiting Faculty, West Virginia University, USA
    mayank@iiitd.ac.in; mayank.vatsa@mail.wvu.edu ;

    Short biography:

    Richa Singh received the Ph.D. degree in Computer Science from West Virginia University, Morgantown, USA, in 2008. She is currently an Associate Professor with the IIIT Delhi, India and an Adjunct Associate Professor at West Virginia University, USA. Her areas of interest are biometrics, pattern recognition, and machine learning. She is a recipient of the Kusum and Mohandas Pai Faculty Research Fellowship at the IIIT Delhi, the FAST Award by Department of Science and Technology, India, and several best paper and best poster awards in international conferences. She has published over 200 research papers in journals, conferences and book chapters. She is also an Editorial Board Member of Information Fusion (Elsevier) and Associate Editor of IEEE Access and the EURASIP Journal on Image and Video Processing (Springer). She has also served as the Program Co-Chair of IEEE BTAS 2016 and General Co-Chair of ISBA 2017.

    Mayank Vatsa received the Ph.D. degree in Computer Science from West Virginia University, Morgantown, USA, in 2008. He is currently an Associate Professor with the IIIT Delhi, India and an Adjunct Associate Professor and Visiting Professor at West Virginia University, USA. His areas of interest are biometrics, image processing, computer vision, and information fusion. He is a recipient of the AR Krishnaswamy Faculty Research Fellowship, the FAST Award by DST, India, and several best paper and best poster awards in international conferences. He has published more than 200 peer-reviewed papers in journals and conferences. He is also the Vice President (Publications) of IEEE Biometrics Council, an Associate Editor of the IEEE Access, and an Area Editor of Information Fusion (Elsevier). He has also served as the PC Co-Chair of ICB 2013, IJCB 2014, and ISBA 2017.