Journals and Selected Conferences:
S. Nagpal, M. Singh, R. Singh, and M. Vatsa, Discriminative Shared Transform Learning for Sketch to Image Matching, Pattern Recognition, 2020 (Accepted)
R. Singh, A. Agarwal, M. Singh, S. Nagpal, and M. Vatsa, On the Robustness of Face Recognition Algorithms Against Attacks and Bias, AAAI, 2020 (Senior Member Track)
M. Singh, S. Nagpal, R. Singh, and M. Vatsa, Dual Directed Capsule Network for Very Low Resolution Recognition, International Conference on Computer Vision, Seoul, Korea, 2019
M. Singh, S. Nagpal, M. Vatsa, and R. Singh, Are you eligible? Predicting adulthood from face images via class specific mean autoencoder, Pattern Recognition Letters, vol.119, pp.121-130, 2019
S. Nagpal, M. Singh, R. Singh, M. Vatsa, A. Noore, and A. Majumdar, Face Sketch Matching via Coupled Deep Transform Learning, International Conference on Computer Vision, 2017
S. Nagpal, M. Vatsa, and R. Singh, Sketch Recognition: What Lies Ahead? Image and Vision Computing, vol.55, pp. 9-13, 2016
S. Nagpal, M. Singh, R. Singh, and M. Vatsa, Regularized Deep Learning for Face Recognition with Weight Variations, IEEE Access, vol.3, pp.3010-3018, 2015
M. Singh, S. Nagpal, R. Singh, and M. Vatsa, On Recognizing Face Images with Weight and Age Variations, IEEE Access, vol.2, pp.822-830, 2014
Other Peer-Reviewed Conferences:
S. Nagpal, M. Singh, R. Singh, M. Vatsa, De-biasing Existing Classification Models Using Diversity Blocks, in IEEE International Joint Conference on Biometrics, 2020 (Audience Choice Award)
M. Agarwal, S. Sinha, M. Singh, S. Nagpal, R. Singh, and M. Vatsa, Triplet Transform Learning For Automated Primate Face Recognition, in IEEE International Conference on Image Processing, 2019
S. Gupta, N. Gupta, S. Ghosh, M. Singh, S. Nagpal, M. Vatsa, and R. Singh, FaceSurv: A Benchmark Video Dataset for Face Detection and Recognition Across Spectra and Resolutions , in IEEE International Conference on Automatic Face and Gesture Recognition, 2019
I. Kalra, M. Singh, S. Nagpal, R. Singh, M. Vatsa, and P.B. Sujit, DroneSURF: Benchmark Dataset for Drone-based Face Recognition, in IEEE International Conference on Automatic Face and Gesture Recognition, 2019
M. Singh, S. Nagpal, R. Singh, M. Vatsa, Learning A Shared Transform Model for Skull to Digital Face Image Matching, In IEEE International Conference on Biometrics: Theory, Applications and Systems, 2018
S. Nagpal, M. Singh, A. Jain, R. Singh, M. Vatsa, and Afzel Noore, "On Matching Skulls to Digital Face Images: A Preliminary Approach" , IEEE International Joint Conference on Biometrics, 2017
M. Singh, S. Nagpal, M. Vatsa, R. Singh, A. Noore, and A. Majumdar, Gender and Ethnicity Classification of Iris Images using Deep Class Encoder, In IEEE International Joint Conference on Biometrics, 2017 (Received Best Poster Award)
M. Singh, S. Nagpal, R. Singh, and M. Vatsa, Class Representative Autoencoder for Low Resolution Multi-Spectral Gender Classification, The International Joint Conference on Neural Networks, 2017, pp. 1026-1033
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 in Humans, The International Joint Conference on Neural Networks, 2017, pp. 3814-3821
M. Singh, S. Nagpal, N. Gupta, S. Gupta, S. Ghosh, R. Singh, and M. Vatsa, Cross-Spectral Cross-Resolution Video Database for Face Recognition, IEEE International Conference on Biometrics: Theory Applications and Systems, 2016, pp. 1-7
S. Nagpal, M. Singh, M. Vatsa, and R. Singh, Regularizing Deep Learning Architecture for face recognition with weight variations, IEEE International Conference on Biometrics: Theory Applications and Systems, 2015
Book Chapter:
S. Nagpal, M. Singh, M. Vatsa, and R. Singh, Deep Learning: Fundamentals and Beyond, Deep Learning for Biometrics, CRC Press, 2017
ArXiv:
S. Nagpal, M. Singh, R. Singh, M. Vatsa, and N. Ratha, Deep Learning for Face Recognition: Pride or Prejudiced?, arXiv preprint arXiv: arXiv:1904.01219, 2019
M. Singh, S. Nagpal, M. Vatsa, R. Singh, and A. Noore, Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!, arXiv preprint arXiv:1810.06221, 2018
Workshops:
S. Nagpal, M. Singh, R. Singh, and M. Vatsa, Attribute Aware Filter-Drop for Bias-Invariant Classification, IEEE Computer Vision and Pattern Recognition Workshop on Fair, Data Efficient And Trusted Computer Vision, 2020
S. Nagpal, M. Singh, M. Vatsa, R. Singh, and A. Noore, Expression Classification in Children, CVPR Workshop on Analysis and Modeling of Faces & Gestures, 2019
M. Singh, S. Nagpal, R. Singh, M. Vatsa, and A. Majumdar, Identity Aware Synthesis for Cross Resolution Face Recognition, International Conference on Computer Vision and Pattern Recognition - Workshop on Biometrics, 2018 (Accepted) (ArXiv)
T. Chugh, M. Singh, S. Nagpal, R. Singh, and M. Vatsa, Transfer Learning based Evolutionary Algorithm for Composite Face Sketch Recognition, Computer Vision and Pattern Recognition Workshop on Biometrics, 2017