Publications

Journals and Selected Conferences:

1. S. Nagpal, M. Singh, R. Singh, M. Vatsa, and N. Ratha, In-Group Bias in Deep Learning-Based Face Recognition Models Due to Ethnicity and Age, IEEE Transactions on Technology and Society, 2023

2. M. Singh, S. Nagpal, R. Singh, and M. Vatsa, DeriveNet for (Very) Low Resolution Image Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021

3. M. Singh, S. Nagpal, R. Singh, and M. Vatsa, Disguise Resilient Face Verification, IEEE Transactions on Circuits and Systems for Video Technology, 2021

4. S. Nagpal, M. Singh, R. Singh, and M. Vatsa, Discriminative Shared Transform Learning for Sketch to Image Matching, Pattern Recognition, 2020 

5. 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) 

6. M. Singh, S. Nagpal, R. Singh, and M. Vatsa, Dual Directed Capsule Network for Very Low Resolution Image Recognition, International Conference on Computer Vision, Seoul (Korea), 2019 

7. M. Singh, R. Singh, M. Vatsa, N. Ratha, and R. Chellappa, Recognizing Disguised Faces in the Wild, IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 1, no. 2, pp. 97-108, 2019 (arXiv)

8. M. Singh, R. Singh, and A. Ross, A Comprehensive Overview of Biometric Fusion, Information Fusion, vol. 52, pp. 187-205, 2019 

9. 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

10. A. Sethi, M. Singh, R. Singh, M. Vatsa, Residual Codean Autoencoder for Facial Attribute Analysis, Pattern Recognition Letters, vol.119, pp.157-165, 2019

11. 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, pp. 5429-5438 

12. 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

13. 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:

1. A. Pandey, A. Rai, M. Singh, D. Bhatt, and T. Bhowmik, GroupMixNorm Layer for Learning Fair Models, in Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023

2. S. A. Sara, M. Singh, B. Pegu, and K. Singh, Label-Value Extraction from Documents Using Co-SSL Framework, In International Conference on Advanced Data Mining and Applications (ADMA), pp. 206-218, 2022

3. A.V.S. Chauhan, S. Reddy, M. Singh, K. Singh, and T. Bhowmik, Deviation-based Marked Temporal Point Process for Marker Prediction, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2021

4. M. Singh, S. Nagpal, D. Yadav, N.Kohli, P. Pandey, G. Prabhakaran, R. Singh, M. Vatsa, A. Noore, J. Brefczynski-Lewis, and H. Mahajan, Understanding Neural Responses to Face Verification of Cross-Domain Representations, in IEEE International Joint Conference on Neural Networks, 2021

5. M. Singh, S. Nagpal, M. Vatsa, and R. Singh, Enhancing Fine-grained Classification for Low Resolution Images, in IEEE International Joint Conference on Neural Networks, 2021

6. B. Pegu, M. Singh, K. Kant, K. Singh, and T. Bhowmik, MoDest: Multi-module Design Validation for Documents, in CODS-COMAD, 2021

7. S. Nagpal, M. Singh, M. Vatsa, and R.Singh, De-biasing Existing Classification Models Using Diversity Blocks, in IEEE International Joint Conference on Biometrics, 2020

8. 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  

9. 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

10. 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

11. 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

12. 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 , pp. 666-673 

13. 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 

14. 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 

15. S.  Nagpal, M. Singh, A. Jain, R. Singh, M.  Vatsa, and Afzel Noore, "On Matching Skulls to Digital Face Images: A Preliminary Approach" , International Joint Conference on Biometrics, 2017 , pp. 813-819 

16. 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 

17. S. Yadav, M. Singh, M. Vatsa, R. Singh, and A. Majumdar, Low rank group sparse representation based classifier for pose variation, IEEE International Conference on Image Processing, 2016, pp. 2986-2990 

18. 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

Workshops:

1. A. Pandey, A. Rai, M. Singh, D. Bhatt, and T. Bhowmik, GroupMixNorm Layer for Learning Fair Models, Workshop on Interpolation Regularizers and Beyond in conjunction with NeurIPS, 2022 

2. S. Bedathur, T. Bhowmik, N. Rajput, K. Singh, and M. Singh, MUFin21: First International Workshop on Modelling Uncertainty in the Financial World, in 30th ACM International Conference on Information and Knowledge Management (CIKM), 2021 (Workshop Summary)

3. S. Reddy, A.V.S. Chauhan, M. Singh, K. Singh, Semi-supervised Learning for Marked Temporal Point Processes, in Workshop on Weakly Supervised Representation Learning in conjunction with International Joint Conference on Artificial Intelligence (IJCAI), 2021

4. B. Pegu, M. Singh, A. Agarwal, A. Mitra, and K. Singh, Table Structure Recognition using CoDec Encoder-Decoder, in Workshop on Machine Learning in conjunction with the International Conference on Document Analysis and Retrieval (ICDAR), 2021

5. A. Kar, M. Singh, M. Vatsa, and R. Singh, Disguised Face Verification using Inverse Disguise Quality, European Conference on Computer Vision Workshops, 2020 

6. 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

7. M. Singh, M. Chawla, R. Singh, M. Vatsa, and R. Chellappa, Disguised Faces in the Wild 2019, IEEE International Conference on Computer Vision Workshop on Disguised Faces in the Wild, 2019 

8. S. Nagpal, M. Singh, M. Vatsa, R. Singh, and A. Noore, Expression Classification in Children Using Mean Supervised Deep Boltzmann Machine, IEEE Conference on Computer Vision and Pattern Recognition Workshop on Analysis and Modeling of Faces and Gestures , 2019

9. 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 (ArXiv)

10. V. Kushwaha, M. Singh, R. Singh, M. Vatsa, N. Ratha, and R. Chellappa, Disguised Faces in the Wild, IEEE International Conference on Computer Vision and Pattern Recognition Workshop on Disguised Faces in the Wild, 2018 

11. 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 , pp. 619-627 

Book Chapter: 

1. S. Nagpal, M. Singh, M. Vatsa, and R. Singh, Deep Learning: Fundamentals and Beyond, Deep Learning for Biometrics, CRC Press, 2017 

On ArXiv:

1. 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 

2. S. Nagpal, M. Singh, R. Singh, M. Vatsa, N. Ratha, Deep Learning for Face Recognition: Pride or Prejudiced?, arXiv preprint, arXiv:1904.01219