• A. Malhotra, S. Mittal, P. Majumdar, S. Chhabra, K. Thakral, M. Vatsa, R. Singh, S. Chaudhaury, A. Pudrod, A. Agarwal, Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images, Pattern Recognition, 2021. (Accepted)
• T. Dhamecha, S. Ghosh, M. Vatsa, R. Singh, Kernelized Heterogeneity Aware Cross-View Face Recognition, Frontiers in Artifical Intelligence, 2021.
• P. Majumdar, S. Chhabra, M. Vatsa, R. Singh, Subgroup Invariant Perturbation for Unbiased Pre-Trained Model Prediction, Machine Learning and Artificial Intelligence, Frontiers in Big Data, 2021.
• M. Singh, S. Nagpal, R. Singh, M. Vatsa DeriveNet for (Very) Low Resolution Image Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021. (Accepted)
• P. Majumdar, S. Chhabra, M. Vatsa, R. Singh, Subgroup Invariant Perturbation for Unbiased Pre-Trained Model Prediction, Machine Learning and Artificial Intelligence, Frontiers in Big Data, 2021.
• A. Agarwal, G. Goswami, M. Vatsa, R. Singh, and N. Ratha, DAMAD: Database, Attack, and Model Agnostic Adversarial Perturbation Detector, IEEE Transactions on Neural Networks and Learning Systems, 2021.
• P. Majumdar, S. Chhabra, R. Singh, M. Vatsa, Recognizing Injured Faces via SCIFI Loss, IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021.
• A. Agarwal, M. Vatsa, R. Singh, N. Ratha, Cognitive data augmentation for adversarial defense via pixel masking, Pattern Recognition Letters, 2021.
• S. Suri, A. Sankaran, M. Vatsa, R. Singh, Improving Face Recognition Performance using TeCS2 Dictionary, Pattern Recognition Letters, 2021.


• P. Majumdar, A. Agarwal, M.Vatsa, R.Singh, Facial Retouching and Alteration Detection, Handbook of Digital Face Manipulation and Detection - From DeepFakes to Morphing Attacks, in Springer Advances in Computer Vision and Pattern Recognition series, 2021.


• 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.
• 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.
• S. Chhabra, P. Majumdar, M. Vatsa, R. Singh, Class Equilibrium using Coulomb's Law, in IEEE International Joint Conference on Neural Networks, 2021.


• P. Majumdar, R.Singh, M.Vatsa, Attention Aware Debiasing for Unbiased Model Prediction, ICCV Workshop on Human-centric Trustworthy Computer Vision, 2021.
• P. Majumdar, S. Mittal, R.Singh, M.Vatsa, Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models, ICCV Workshop on Responsible PR&MI, 2021.
• A. Agarwal, M. Vatsa, R. Singh, and N. Ratha, Intelligence and Adaptive Mixup Technique for Adversarial Robustness, IEEE International Conference on Image Processing, 2021.
• S. Mishra, P. Majumdar, R. Singh, M. Vatsa, Indian Masked Faces in the Wild Dataset, IEEE International Conference on Image Processing, 2021.
• R. Singh, M. Vatsa, N. RathaTrustworthy AI, 8th ACM IKDD CODS and 26th COMAD, 2021.
• P. Majumdar, R. Singh, M. Vatsa, On Learning Deep Models with Imbalanced Data Distribution, AAAI Doctoral Consortium, 2021.
• A. Agrawal, M. Vatsa, and R. Singh, Role of Optimizer on Network Fine-tuning for Adversarial Robustness, AAAI Student Abstract, 2021.
• A. Chauhan, M. Vatsa, and R. Singh, NEAP-F: Network Epoch Accuracy Prediction Framework, AAAI Student Abstract, 2021.
• D. Sundriyal, S. Ghosh, M. Vatsa, and R. Singh, Semi-supervised Learning via Triplet Network Based Active Learning, AAAI Student Abstract, 2021.
• A. Mehra, A. Agarwal, M. Vatsa and R. Singh, Detection of Digital Manipulation in Facial Images, AAAI Student Abstract, 2021.
• S. Chhabra, A. Agarwal, R. Singh, and M. Vatsa, Attack Agnostic Adversarial Defense via Visual Imperceptible Bound, In Proceedings of IAPR International Conference on Pattern Recognition, 2021.
• N. Sanghvi, S. K. Singh, A. Agarwal, M. Vatsa, and R, Singh, MixNet for Generalized Face Presentation Attack Detection, In Proceedings of IAPR International Conference on Pattern Recognition, 2021.
• M. Gupta, V. Singh, A. Agarwal, M. Vatsa, and R. Singh, Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings, In Proceedings of IAPR International Conference on Pattern Recognition, 2021.
• D. Yadav, N. Kohli, M. Vatsa, R. Singh, and A. Noore, Age Gap Reducer-GAN for Recognizing Age-Separated Faces, In Proceedings of IAPR International Conference on Pattern Recognition, 2021.

• S. Nagpal, M. Singh, R. Singh, and M. Vatsa, Discriminative Shared Transform Learning for Sketch to Image Matching , Pattern Recognition, 2020 (Accepted)
• A. Malhotra, A. Sankaran, M. Vatsa, R. Singh, K.B. Morris, A. Noore, Understanding ACE-V Latent Fingerprint Examination Process via Eye-Gaze Analysis, IEEE Transactions on Biometrics, Behavior, and Identity Science, Volume 3, Issue 1, Pages 44-58, 2020.
• A. Agarwal, R. Singh, M. Vatsa, and N. Ratha, Image Transformation based Defense Against Adversarial Perturbation on Deep Learning Models, IEEE Transactions on Dependable and Secure Computing (TDSC) Special Issue on AI/ML for Secure Computing, 2020.
• A. Suri, M. Vatsa, R. Singh, A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise based Inter-Domain Knowledge, IEEE Transactions on Biometrics, Behavior, and Identity Science, 2020.
• A. Malhotra, A. Sankaran, M. Vatsa, R. Singh, On Matching Finger-selfies using Deep Scattering Networks, IEEE Transactions on Biometrics, Behavior, and Identity Science, Volume 2, Issue 4, Pages 350-362, 2020.
• S. Ghosh, R. Singh, and M. Vatsa, Subclass Heterogeneity Aware Loss for Cross-Spectral Cross-Resolution Face Recognition, IEEE Transactions on Biometrics, Behavior, and Identity Science, Volume 2, Issue 3, July 2020.


• R. Keshari, R. Singh, and M. Vatsa, Generalized Zero-Shot Learning Via Over-Complete Distribution, IEEE Conference on Computer Vision and Pattern Recognition, 2020.
• R. Singh, A. Agarwal, M. Singh, S. Nagpal, and M. Vatsa On the Robustness of Face Recognition Algorithms Against Attacks and Bias Senior Member Track at AAAI Conference on Artificial Intelligence, 2020.


• D. Anshuman, A.Agarwal, M. Vatsa, and R. Singh, WaveTransform: Crafting Adversarial Examples via Input Decomposition, ECCV Workshop on Adversarial Robustness in the Real World, 2020.
• R. Sinha, M. Vatsa, R. Singh, FamilyGAN: Generating Kin Face Images using Generative Adversarial Networks, ECCV Workshop on Advances in Image Manipulation workshop and challenges, 2020.
• S. Nagpal, M. Singh, R. Singh, M. Vatsa, De-biasing Existing Classification Models Using Diversity Blocks, IEEE International Joint Conference on Biometrics, 2020.
• A. Kar, M. Singh, M. Vatsa, R. Singh, Disguised Face Verification using Inverse Disguise Quality, IEEE European Conference on Computer Vision Workshop on Fair Face Recognition and Analysis, 2020.
• A. Agarwal, M. Vatsa, and R. Singh, The role of sign and direction of gradient on the performance of CNN, IEEE Computer Vision and Pattern Recognition Workshop on Media Forensics, 2020.
• A. Jain, P. Majumdar, R. Singh, and M. Vatsa, Detecting GANs and Retouching based Digital Alterations via DAD-HCNN, IEEE Computer Vision and Pattern Recognition Workshop on Media Forensics, 2020.
• A. Agarwal, M. Vatsa, R. Singh, and N. Ratha, Noise is Inside Me! Generating Adversarial Perturbations with Noise Derived from Natural Filters , IEEE Computer Vision and Pattern Recognition Workshop on Adversarial Machine Learning in Computer Vision , 2020.
• A. Malhotra, S. Chhabra, M. Vatsa, and R. Singh, On Privacy Preserving Anonymization of Finger-selfies, IEEE Computer Vision and Pattern Recognition Workshop on Fair, Data Efficient And Trusted Computer Vision, 2020.
• A. Goel, A. Agarwal, M. Vatsa, R. Singh, and N. Ratha, DNDNet: Reconfiguring CNN for Adversarial Robustness, IEEE Computer Vision and Pattern Recognition Workshop on Fair, Data Efficient And Trusted Computer Vision, 2020.
• 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. Jindal, R. Sood, R. Singh, M. Vatsa, and T. Chakraborty, NewsBag: A Benchmark Multimodal Dataset for Fake News Detection, SafeAI 2020: The AAAI Workshop on Artificial Intelligence Safety, 2020.
• P. Kumar, M. Vatsa, and R. Singh, Detecting Face2Face Facial Reenactment in Videos, IEEE Winter Conference on Applications of Computer Vision, 2020.

• I. Nigam, R. Keshari, M. Vatsa, R. Singh, K. Bowyer, Phacoemulsification Cataract Surgery Affects the Discriminative Capacity of Iris Pattern Recognition, Scientific Report, 2019.
• T.I. Dhamecha, A. Noore, R. Singh, and M. Vatsa, Between-Subclass Piece-wise Linear Solutions in Large Scale Kernel SVM Learning, Pattern Recognition, Volume 95, Pages173-190, 2019. [PR link]
• 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, Volume 1, No. 2, Pages 97-108, 2019.
• A. Agarwal, R. Keshari, M. Wadhwa, M. Vijh, C. Parmar, R. Singh, and M. Vatsa, Iris sensor identification in multi-camera environment, Information Fusion , Volume 45, 2019, Pages 333-345, ISSN 1566-2535.
• G. Goswami, A. Agarwal, N. Ratha, R. Singh, and M. Vatsa, Detecting and Mitigating Adversarial Perturbations for Robust Face Recognition, In International Journal of Computer Vision (IJCV), Special Issue on Deep Learning for Face Analysis, 2019, Volume 127, Pages 719-742.
• N. Kohli, D. Yadav, M. Vatsa, R. Singh, A. Noore, Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos, [arXiv] [IEEE TIP], IEEE Transactions on Image Processing, Volume 28, No. 3, Pages 1329-1341, 2019.
• M. Singh, R. Singh, A. Ross, A Comprehensive Overview of Biometric Fusion, Information Fusion, Volume 52, Pages 187-205, 2019.


• M. Singh, S. Nagpal, R. Singh, and M. Vatsa Dual Directed Capsule Network for Very Low Resolution Recognition, IEEE International Conference on Computer Vision , 2019.
• S. Ghosh, R. Singh, and M. Vatsa On Learning Density Aware Embeddings, IEEE Conference on Computer Vision and Pattern Recognition , 2019.
• R. Keshari, M. Vatsa, and R. Singh, Guided Dropout, In Proceedings of AAAI Conference on Artificial Intelligence, 2019.
• S. Chhabra, P. Majumdar, R. Singh, and M. Vatsa, Data Fine-tuning, In Proceedings of AAAI Conference on Artificial Intelligence, 2019.


• S. Nagpal, M. Singh, R. Singh, & M. Vatsa, Deep learning for face recognition: Pride or prejudiced?, arXiv preprint arXiv:1904.01219, 2019.
• M. Singh, M. Chawla, R. Singh, M. Vatsa, and R. Chellappa, Disguised Faces in the Wild 2019, In IEEE International Conference on Computer Vision Workshop on Disguised Faces in the Wild, 2019.
• A. Agarwal, A. Sehwag, M. Vatsa, and R. Singh, Deceiving Face Presentation Attack Detection via Image Transforms, In IEEE International Conference on Multimedia Big Data , 2019.
• A. Goel, A. Agarwal, M. Vatsa, R. Singh, and N. Ratha, Securing CNN Model and Face Template using Blockchain, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems , 2019.
• A. Agarwal, M. Vatsa, and R. Singh, CHIF: Convoluted Histogram Image Features for Detecting Silicone Mask based Face Presentation Attack, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems , 2019.
• L. Goel, M. Vatsa, and R. Singh, LC-DECAL: Label Consistent Deep Collaborative Learning for Face Recognition, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems , 2019.
• A. Suri, R. Singh, and M. Vatsa, A-LINK: Recognizing Disguised Faces via Active Learning based Inter-Domain Knowledge, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems , 2019.
• P. Majumdar, S. Chhabra, R. Singh, and M. Vatsa, Subclass Contrastive Loss for Injured Face Recognition, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems , 2019.
• P. Tripathi, R. Keshari, S. Ghosh, M. Vatsa, R. Singh, AUTO-G: Gesture Recognition in the Crowd for Autonomous Vehicles, IEEE International Conference on Image Processing , 2019.
• M. Agarwal, S. Sinha, M. Singh, S. Nagpal, R. Singh, M. Vatsa, Triplet Transform Learning for Automated Primate Face Recognition, IEEE International Conference on Image Processing, 2019.
• V. Gupta, M. Agarwal, M. Arora, T. Chakraborty, R. Singh, M. Vatsa, Bag-of-Lies: A Multimodal Dataset for Deception Detection, IEEE Conference on Computer Vision and Pattern Recognition Workshop on Challenges and Opportunities for Privacy and Security , 2019.
• P. Majumdar, A. Agarwal, R. Singh, M. Vatsa, Evading Face Recognition via Partial Adversarial Tampering , IEEE Conference on Computer Vision and Pattern Recognition Workshop on Challenges and Opportunities for Privacy and Security , 2019.
• A. Goel, A. Agarwal, R. Singh, M. Vatsa, and N. Ratha, DeepRing: Protecting Deep Neural Network with Blockchain, IEEE Conference on Computer Vision and Pattern Recognition Workshop on When Blockchain Meets Computer Vision and Artificial Intelligence , 2019.
• D. Yadav, N. Kohli, M. Vatsa, R. Singh, and A. Noore, Detecting Textured Iris Lens in Uncontrolled Environment using DensePAD, IEEE Conference on Computer Vision and Pattern Recognition Workshop on Biometrics, 2019.
• 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 & Gestures, 2019.
• S. Gupta, N. Gupta, S. Ghosh, M. Singh, S. Nagpal, R. Singh, and M. Vatsa, FaceSurv: A Benchmark Video Dataset for Face Detection and Recognition Across Spectra and Resolutions, IEEE International Conference on Automatic Face and Gesture Recognition , 2019.
• I. Kalra, M. Singh, S. Nagpal, R. Singh, and M. Vatsa DroneSURF: Benchmark Dataset for Drone-based Face Recognition , IEEE International Conference on Automatic Face and Gesture Recognition , 2019.
• S. Mehta, A. Uberoi, A. Agarwal, M. Vatsa, and R. Singh, Crafting A Panoptic Face Presentation Attack Detector, IAPR International Conference On Biometrics , 2019.
• A. Agarwal, A. Sehwag, M. Vatsa, and R. Singh, Deceiving the Protector: Fooling Face Presentation Attack Detection Algorithms, IAPR International Conference On Biometrics , 2019.
• Ramya Y S, S. Ghosh, M. Vatsa, and R. Singh, Face Sketch Image Colorization via Supervised GANs, IAPR International Conference On Biometrics , 2019.
• I. Joshi, A. Anand, M. Vatsa, R. Singh, S. D. Roy, P. Kalra, Latent Fingerprints Enhancement using Generative Adversarial Networks, In Proceedings of IEEE Winter Conference on Applications of Computer Vision, 2019.

• G. Goswami, Unraveling Representations for Face Recognition: from Handcrafted to Deep Learning, , Ph. D. thesis, 2018.


• M. Singh, S. Nagpal, M. Vatsa, and R. Singh, Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!, arXiv, 2018.
• 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, Volume 119, Pages 121-130, 2018.
• A. Sethi, M. Singh, R. Singh, M. Vatsa, Residual Codean Autoencoder for Facial Attribute Analysis, Pattern Recognition Letters, Volume 119, Pages 157-165, 2018 (arxiv)
• T. I. Dhamecha, M. Shah, P. Verma, M. Vatsa and R. Singh, CrowdFaceDB: Database and Benchmarking for Face Verification in Crowd, Pattern Recognition Letters , 2018
• P. Chhokra, A. Chowdhury, G. Goswami, M. Vatsa, and R. Singh, Unconstrained Kinect Video Face Database, Information Fusion, 2018.
• A. Shankar, M. Vatsa and P. B. Sujith, A Low-Cost Monocular Vision-Based Obstacle Avoidance Using SVM and Optical Flow, Unmanned Systems, Volume 06, No. 04, Pages 267-275, 2018.


• R. Keshari, M. Vatsa, R. Singh, and A. Noore, Learning Structure and Strength of CNN Filters for Small Sample Size Training Conference on Computer Vision and Pattern Recognition, 2018
• S. Chhabra, R. Singh, M. Vatsa, G. Gupta, Anonymizing k Facial Attributes via Adversarial Perturbations, International Joint Conference on Artificial Intelligence, Pages 656-662, 2018. (arxiv)
• G. Goswami, N. Ratha, A. Agarwal, R. Singh, and M. Vatsa, Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks, Thirty-Second AAAI Conference on Artificial Intelligence, Pages 6829-6836, 2018.


• A. Malhotra, R. Singh, M. Vatsa, V. Patel, Person Authentication using Head Images, IEEE Winter Conference on Applications of Computer Vision, Pages 409-417, 2018
• D. Yadav, N. Kohli, S. Yadav, M. Vatsa, R. Singh, A. Noore, Iris Presentation Attack via Textured Contact Lens In Unconstrained Environment, IEEE Winter Conference on Applications of Computer Vision, 2018
• S. Sinha, M. Agarwal, M. Vatsa, R. Singh, S. Anand, Exploring Bias in Primate Face Detection and Recognition, In Proceedings of European Conference on Computer Vision Workshop on Bias Estimation in Face Analytics, 2018.
• R. Garg, Y. Baweja, S. Ghosh, R. Singh, M. Vatsa, N. Ratha, Heterogeneity Aware Deep Embedding for Mobile Periocular Recognition, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, 2018.
• M. Singh, S. Nagpal, R. Singh, M. Vatsa, A. Noore, Learning A Shared Transform Model for Skull to Digital Face Image Matching, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, 2018.
• S. Suri, A. Sankaran, M. Vatsa, R. Singh, On Matching Faces with Alterations due to Plastic Surgery and Disguise​,​ In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, 2018.
• A. Jain, R. Singh, M. Vatsa, On Detecting Synthetic Alterations using GANs and Retouching, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, 2018.
• A. Goel, A. Singh, A. Agarwal, M. Vatsa, R. Singh, SmartBox: Benchmarking Adversarial Detection and Mitigation Algorithms for Face Recognition, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, 2018.
• A. Agarwal, M. Vatsa, R. Singh, N. Ratha, Are Image-Agnostic Universal Adversarial Perturbations for Face Recognition Difficult to Detect?, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, 2018
• 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
• A. Lakra, P. Tripathi, R. Keshari, M. Vatsa, R. Singh, SegDenseNet: Iris Segmentation for Pre and Post Cataract Surgery, International Conference on Pattern Recognition, 2018,(arxiv)
• S. Siddiqui, M. Vatsa, R. Singh, Face Recognition for Newborns, Toddlers and Pre-School Children: A Deep Learning Approach, International Conference on Pattern Recognition, 2018
• I. Gupta, I. Bhalla, R. Singh, M. Vatsa, Scattering Transform for Matching Surgically Altered Face Images, International Conference on Pattern Recognition, 2018
• P. Majumdar, S. Chhabra, R. Singh, and M. Vatsa, On Detecting Domestic Abuse via Faces, IEEE Conference on Computer Vision and Pattern Recognition Workshop on Analysis and Modeling of Faces and Gestures, Pages 2173-2179, 2018.
• D. Yadav, N. Kohli, E. Kalsy, M. Vatsa, R. Singh, A. Noore, Unraveling Human Perception of Facial Aging using Eye Gaze, CVPR Workshop on Analysis and Modeling of Faces and Gestures, 2018
• S. Chopra, A. Malhotra, M. Vatsa, and R. Singh, Unconstrained Fingerphoto Database, International Conference on Computer Vision and Pattern Recognition - Workshop on Biometrics, Pages 517-525, 2018
• D. Yadav, N. Kohli, A. Agarwal, M. Vatsa, R. Singh, and A. Noore, Fusion of Handcrafted and Deep Learning Features for Large-scale Multiple Iris Presentation Attack Detection, International Conference on Computer Vision and Pattern Recognition - Workshop on Biometrics, Pages 572-579, 2018
• M. Singh, S. Nagpal, M. Vatsa, R. Singh, and A. Majumdar, Identity Aware Synthesis for Cross Resolution Face Recognition, International Conference on Computer Vision and Pattern Recognition - Workshop on Biometrics, 2018, (arxiv)

• A. Sankaran, Learning Representations for Matching Fingerprint Variants, Ph. D. thesis, 2017.
• T.I. Dhamecha, Pushing Boundaries of Face Recognition: Adversary, Heterogeneity, and Scale, Ph. D. thesis, 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, Volume 39, No. 6, pp. 1273-1280, 2017
• A. Sankaran, A. Jain, T. Vashisth, M. Vatsa, and R. Singh, Adaptive Latent Fingerprint Segmentation using Feature Selection and Random Decision Forest Classification, Information Fusion, Volume 34, Pages 1-15, March 2017
• P. Mittal, A. Jain, G. Goswami, M. Vatsa, and R. Singh, Composite Sketch Recognition using Saliency and Attribute Feedback, Information Fusion, Volume 33, Pages 86–99, January 2017
• A. Sankaran, G. Goswami, M. Vatsa, R. Singh, A. Majumdar Class sparsity signature based Restricted Boltzmann Machine, Pattern Recognition, Volume 61, pp. 674–685, January 2017
• N. Kohli, M. Vatsa, R. Singh, A. Noore, and A. Majumdar, Hierarchical Representation Learning for Kinship Verification, IEEE Transactions on Image Processing, Volume 26, no. 1, pp. 289-302, Jan. 2017
• A. Sankaran, M. Vatsa, R. Singh, and A. Majumdar, Group Sparse Autoencoder, Image and Vision Computing, Volume 60, Pages 64-74, April 2017


• 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, Pages. 5429-5438, 2017


• S. Nagpal, M. Singh, A. Jain, R. Singh, M. Vatsa, and A. Noore, On Matching Skulls to Digital Face Images: A Preliminary Approach, In Proceedings of IEEE International Joint Conference on Biometrics, Pages 813-819, 2017.
• A. Bharati, M. Vatsa, R. Singh, K. W. Bowyer, and X. Tao, Demography-based Facial Retouching Detection using Subclass Supervised Sparse Autoencoder, In Proceedings of IEEE International Joint Conference on Biometrics, 2017.
• D. Yadav, N. Kohli, M. Vatsa, R. Singh, and A. Noore, Unconstrained Visible Spectrum Iris with Textured Contact Lens Variations: Database and Benchmarking, In Proceedings of IEEE International Joint Conference on Biometrics, 2017.
• P. Basak, S. De, M. Agarwal, A. Malhotra, R. Singh, and M. Vatsa, Multimodal Biometric Recognition for Toddlers and Pre-School Children, In Proceedings of IEEE International Joint Conference on Biometrics, Pages 627-633, 2017.
• A. Agarwal, R. Singh, M. Vatsa, and A. Noore, SWAPPED! Digital Face Presentation Attack Detection via Weighted Local Magnitude Pattern, In Proceedings of IEEE International Joint Conference on Biometrics, Pages 659-665, 2017.
• N. Kohli, D. Yadav, M. Vatsa, R. Singh, and A. Noore, Synthetic Iris Presentation Attack using iDCGAN, In Proceedings of IEEE International Joint Conference on Biometrics, 2017. (Received the Best Poster Award)
• 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 Proceedings of IEEE International Joint Conference on Biometrics, Pages 666-673, 2017. (Received the Best Poster Award)
• D. Yambay, B Becker, N. Kohli, D Yadav, A. Czajka, K. W. Bowyer, S. Schuckers, R. Singh, M. Vatsa, A. Noore, D. Gragnaniello, C. Sansone, L. Verdoliva, L. He, Y. Ru, H. Li, N. Liu, Z. Sun, T. Tan, LivDet Iris 2017 - Iris Liveness Detection Competition 2017,In Proceedings of IEEE International Joint Conference on Biometrics, 2017.
• T. Chugh, M. Singh, S. Nagpal, R. Singh, and M. Vatsa, Transfer Learning based Evolutionary Algorithm for Composite Face Sketch Recognition, In IEEE Computer Vision and Pattern Recognition Workshops (CVPRW) on Biometrics, Pages 619-627, 2017.
• A. Agarwal, D. Yadav, N. Kohli, R. Singh, M. Vatsa, and A. Noore, Face Presentation Attack with Latex Masks in Multispectral Videos, In IEEE Computer Vision and Pattern Recognition Workshops (CVPRW) on Perception Beyond the Visible Spectrum, Pages 275-283, 2017
• B. Powell, R. Singh, M. Vatsa and A. Noore, Adaptcha: An Adaptive CAPTCHA for Improved User Experience, IEEE Symposium on Security and Privacy, 2017
• B. Powell, E. Kalsy, G. Goswami, M. Vatsa, R. Singh and A. Noore, Attack-Resistant aiCAPTCHA using​ ​a Negative Selection Articial Immune System, In Proceedings of IEEE Security & Privacy Workshop​ ​on BioSTAR, 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, Pages 3814 - 3821, 2017
• G. Goswami, R. Singh, M. Vatsa, and A. Majumdar, Kernel Group Sparse Representation based Classifier for Multimodal Biometrics, IEEE International Joint Conference on Neural Networks, 2017
• 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, Pages 1026-1033, 2017

• S. Tariayal, A. Majumdar, R. Singh, and M. Vatsa, Deep Dictionary Learning, IEEE Access, 2016
• H. Mehrotra, R. Singh, M. Vatsa, and B. Majhi, Incremental Granular Relevance Vector Machine: A Case Study in Multimodal Biometrics, Pattern Recognition, Volume 56, pp. 63-76, 2016
• G. Goswami, P. Mittal, A. Majumdar, R. Singh, and M. Vatsa, Group Sparse Representation based Classification for Multi-feature Multimodal Biometrics, Information Fusion (Elsevier), Volume 32, Part B, November 2016, Pages 3–12.
• 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. Nagpal, M. Vatsa, and R. Singh, Sketch Recognition: What Lies Ahead?, Image and Vision Computing, Volume 55, Part 1, November 2016, pp. 9-13, 2016.
• S. Bharadwaj, H. Bhatt, M. Vatsa, R. Singh, Domain Specific Learning for Newborn Face Recognition, IEEE Transactions on Information Forensics and Security, Volume 11, no. 7, pp. 1630-1641, July 2016.
• T.I. Dhamecha, R. Singh, M. Vatsa, On Incremental Semi-supervised Discriminant Analysis, Pattern Recognition, Volume 52, ​pp. 135–147​, 2016.


• I. Nigam, M. Vatsa, and R. Singh, Ophthalmic Disorder Menagerie and Iris Recognition Handbook of Iris Recognition. Springer London, 519-539, 2016.


• G. Goswami, N. Ratha, M. Vatsa, R. Singh, Improving Classifier Fusion via Pool Adjacent Violators Normalization, IEEE International Conference on Pattern Recognition, 2016
• A. Agarwal, R. Singh, M. Vatsa, Fingerprint Sensor Classification via M´elange of Handcrafted Features, IEEE International Conference on Pattern Recognition, Pages 3001-3006, 2016
• T. Ahmad Siddiqui, S. Bharadwaj, T.I. Dhamecha, A. Agarwal, M. Vatsa, R. Singh, Face Anti-spoofing with Multifeature Videolet Aggregation, IEEE International Conference on Pattern Recognition, Pages 1035-1040, 2016.
• I. Manjani, H.D. Sumerkan, P. Flynn, and K. Bowyer, Template Aging in 3D and 2D Face Recognition, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, 2016.
• A. Chowdhury, S. Ghosh, R. Singh, and M. Vatsa, RGB-D Face Recognition via Learning-based Reconstruction, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, 2016. (Received the Best Poster Award)
• A. Taneja, A. Tayal, A. Malhotra, A. Sankaran, M. Vatsa, and R. Singh, Fingerphoto Spoofing in Mobile Devices: A Preliminary Study, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, Pages 1-7, 2016.
• A. Agarwal, R. Singh, and M. Vatsa, Face Anti-spoofing using Haralick Features, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, Pages 1-6, 2016.
• B. Powell, A. Gupta, J. Thapar, G. Goswami , R. Singh, M. Vatsa, and A. Noore, A Multibiometrics-based CAPTCHA for Improved Online Security, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, 2016.
• M. Singh, S. Nagpal, N. Gupta, S. Gupta, S. Ghosh, R. Singh, and M. Vatsa, Cross-Spectral Cross-Resolution Video Database for Face Recognition, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, 2016.
• N. Kohli, D. Yadav, M. Vatsa, R. Singh, and A. Noore, Detecting Medley of Iris Spoofing Attacks using DESIST, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, 2016.
• R. Keshari, S. Ghosh, A. Agarwal, R. Singh, M. Vatsa, Mobile Periocular Matching with Pre-Post Cataract Surgery, IEEE International Conference on Image Processing, Pages 3116-3120, 2016
• S. Ghosh, R. Keshari, R. Singh, M. Vatsa, Face Identification from Low Resolution Near-Infrared Images, IEEE International Conference on Image Processing, 2016
• S. Yadav, M. Singh, M. Vatsa, R. Singh, A. Majumdar, Low Rank Group Sparse Representation Based Classifier for Pose Variation, IEEE International Conference on Image Processing, 2016
• S. Verma, P. Mittal, M. Vatsa, R. Singh, At-A-Distance Person Recognition Via Combining Ocular Features, IEEE International Conference on Image Processing, 2016
• P. Pandey, R. Singh, M. Vatsa, Face Recognition using Scattering Wavelet under Illicit Drug Abuse Variations, International Conference on Biometrics (ICB), 2016
• D. Yadav, N. Kohli, P. Pandey, R. Singh, M. Vatsa and A. Noore, Effect of Illicit Drug Abuse on Face Recognition, In Proceedings of IEEE Winter Conference on Applications of Computer Vision, 2016 (Received the Best Paper Award).
• T. I. Dhamecha, P. Sharma, R. Singh, and M. Vatsa, Discriminative FaceTopics for Face Recognition via Latent Dirichlet Allocation, In Proceedings of IEEE Winter Conference on Applications of Computer Vision,2016.

• Ishan Nigam, Shreyasi Agrawal, Richa Singh, and Mayank Vatsa, Revisiting HEp-2 Cell Image Classification, IEEE Access, Volume 3, pp.3102​ ​-​​​​​ ​3113, 2015 doi: 10.1109/ACCESS.2015.2504125
• Shruti Nagpal, Maneet Singh, Richa Singh, and Mayank Vatsa, Regularized Deep Learning for Face Recognition with Weight Variations, IEEE Access, Volume 3, pp.3010​​-​ ​3018, 2015 doi: 10.1109/ACCESS.2015.2510865.
• S. Bharadwaj, H. S. Bhatt, R. Singh, M. Vatsa, and A. Noore, QFuse: Online Learning Framework for Adaptive Biometric System, Pattern Recognition (Elsevier) Volume 48, Issue 11, November 2015, Pages 3428–3439.
• I. Nigam, M. Vatsa, and R. Singh, Ocular Biometrics : A Survey of Modalities and Fusion Approaches, Information Fusion (Elsevier), Volume 26, pp. 1–35, 2015.
• A. Sankaran, M. Vatsa and R. Singh, Multisensor Optical and Latent Fingerprint Database, IEEE Access, Volume 3, no., pp. 653 - 665, 2015. (Resources)


• J. Agrawal, A. Pant, T. I. Dhamecha, R. Singh, and M. Vatsa, "Understanding Thermal Face Detection: Challenges and Evaluation", In Face Recognition Across the Electromagnetic Spectrum, Book Editor Thirimachos Bourlai, Springer, 2015.
• G. Goswami, M. Vatsa, and R. Singh, "Face Recognition with RGB-D Images using Kinect", In Face Recognition Across the Electromagnetic Spectrum, Book Editor Thirimachos Bourlai, Springer, 2015.
• T. I. Dhamecha, G. Goswami, R. Singh, and M. Vatsa, "On the Importance of Frame Selection for Video Face Recognition", In Advances in Face Detection and Facial Image Analysis, Book Editors Michal Kawulok, M. Emre Celebi, and Bogdan Smolka, Springer, 2015.


• S. Nagpal, M. Singh, R. Singh and M. Vatsa, Regularizing Deep Learning Architecture for Face Recognition with Weight Variations, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, 2015.
• A. Chahar, S. Yadav, I. Nigam, M. Vatsa, and R. Singh, A Leap Password Based Verification System, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, 2015. Received the Best Poster Award.
• S. Ghosh, T. I. Dhamecha, R. Keshari, R. Singh, and M. Vatsa, Feature and Keypoint Selection for Visible to Near-infrared Face Matching, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, 2015.
• A. Sankaran, A. Malhotra, A. Mittal, M. Vatsa, and R. Singh, On Smartphone Camera based Fingerphoto Authentication, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, Pages 1-7, 2015.
• A. Sankaran, A. Agarwal, R. Keshari, S. Ghosh, A. Sharma, M. Vatsa, and R. Singh, Latent Fingerprint from Multiple Surfaces: Database and Quality Analysis, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, Pages 1-6, 2015.
• T. I. Dhamecha, P. Verma, M. Shah, M. Vatsa and R. Singh, Annotated Video Crowd Face Database, IAPR International Conference on Biometrics, 2015.
• R. Bhardwaj, G. Goswami, R. Singh and M. Vatsa, Harnessing Social Context for Improved Face Recognition, IAPR International Conference on Biometrics, 2015.
• P. Mittal, M. Vatsa and R. Singh, Composite Sketch Recognition via Deep Network - A Transfer Learning Approach, IAPR International Conference on Biometrics, 2015.
• A. Jain, P. Mittal, G. Goswami, M. Vatsa and R. Singh, Person Identification at a Distance via Ocular Biometrics, In Proceedings of IEEE International Conference on Identity, Security and Behavior Analysis, 2015.

• P. Agrawal, Contributions in Computer Assisted Diagnosis: Breast Cancer and Autoimmune Diseases, M.Tech. thesis, 2014.
• H. S. Bhatt, Emerging Covariates of Face Recognition, Ph. D. thesis, 2014. INAE Best Doctoral Dissertation Award, 2014 and Indian Unit of Pattern Recognition and Artificial Intelligence Doctoral Dissertation Award, 2014.


• S. Bharadwaj, T.I. Dhamecha, M. Vatsa, and R. Singh, Face Anti-spoofing via Motion Magnification and Multifeature Videolet Aggregation, IIITD-TR-2014-002, June 2014. (Resources)


• D. Yadav, R. Singh, M. Vatsa, A. Noore, Recognizing Age-Separated Face Images: Humans and Machines, PLoS ONE, Volume 9, No. 12, e112234. doi:10.1371/journal.pone.0112234, 2014.
• H.S. Bhatt, R. Singh, M. Vatsa, and N. K. Ratha, Improving Cross-resolution Face Matching using Ensemble based Co-Transfer Learning, IEEE Transactions on Image Processing , Volume 23, No. 12, pp. 5654 - 5669, 2014.
• A. Sankaran, M. Vatsa and R. Singh, Latent Fingerprint Matching: A Survey, IEEE Access, Volume2, pp.982-1004, 2014.
• M. Singh, S. Nagpal, R. Singh, and M. Vatsa, On Recognizing Face Images with Weight and Age Variations, IEEE Access, Volume 2, pp.822-830, 2014.
• G. Goswami, M. Vatsa, and R. Singh, RGB-D Face Recognition with Texture and Attribute Features, IEEE Transactions on Information Forensics and Security , Volume 9, No. 10, pp. 1629-1640, 2014.
• T. I. Dhamecha, R. Singh, M. Vatsa, and A. Kumar, Recognizing Disguised Faces: Human and Machine Evaluation, PLoS ONE, 9(7): e99212, 2014.
• H. S. Bhatt, R. Singh, M. Vatsa, On Recognizing Faces in Videos using Clustering Based Re-ranking and Fusion, IEEE Transactions on Information Forensics and Security, Volume 9, No.7, pp.1056-1068, 2014.
• S. Bharadwaj, M. Vatsa, and R. Singh, Biometric Quality: A Review of Fingerprint, Iris, and Face, EURASIP Journal of Image and Video Processing, 2014(1), 34.
• B. Powell, G. Goswami, M. Vatsa, R. Singh and A. Noore, fgCAPTCHA: Genetically Optimized Face Images CAPTCHA, IEEE Access, Volume 2, pp.473-484, 2014.
• D. Yadav, N. Kohli, J. S. Doyle, R. Singh, M. Vatsa, and K. W. Bowyer, Unraveling the Effect of Textured Contact Lenses on Iris Recognition, IEEE Transactions on Information Forensics and Security, , Volume 9, No.5, pp.851-862, May 2014.
• G. Goswami, B. M. Powell, M. Vatsa, R. Singh, and A. Noore, FR-CAPTCHA: CAPTCHA based on Recognizing Human Faces, PLoS ONE, 9(4): e91708, 2014.
• Neslihan Kose, Jean-Luc Dugelay, Richa Singh, and Mayank Vatsa, Recognizing Face Images With Disguise Variations, Book Chapter in Face Recognition in Adverse Conditions IGI Global Book Series in Computational Intelligence and Robotics (ACIR); Eds: De Marsico, Maria; Nappi, Michele; Tistarelli, Massimo; ISBN: 978-1466659667, 2014.
• P. Agrawal, M. Vatsa, R. Singh, Saliency based Mass Detection from Screening Mammograms, Signal Processing, Elsevier, Vol 99C, pp. 29-47, 2014.
• G. Goswami, B.M. Powell, M. Vatsa, R. Singh, and A. Noore, FaceDCAPTCHA: Face Detection based Color Image CAPTCHA, Future Generation Computer Systems - Special Issue on Human-Involved Computational Systems, Elsevier, Volume 31, pp. 59-68, Feb 2014.


• A. Shankar, M. Vatsa, and P. B. Sujit, Collision Avoidance for a Low-cost Robot using SVM-based Monocular Vision, IEEE International Conference Robotics and Biomimetics, 2014.
• G. Goswami, R. Bhardwaj, R. Singh, M. Vatsa, MDLFace: Memorability Augmented Deep Learning for Video Face Recognition, In Proceedings of International Joint Conference on Biometrics, 2014.
• A. Sankaran, P. Pandey, M. Vatsa, R. Singh, On Latent Fingerprint Minutiae Extraction using Stacked Denoising Sparse AutoEncoders, In Proceedings of International Joint Conference on Biometrics, 2014, Received the Best Poster Award
• S. Bharadwaj, M. Vatsa, R. Singh, Aiding Face Recognition with Social Context Association Rule based Re-Ranking, In Proceedings of International Joint Conference on Biometrics, 2014.
• P. Mittal, A. Jain, G. Goswami, R. Singh, M. Vatsa, Recognizing Composite Sketches with Digital Face Images via SSD Dictionary, In Proceedings of International Joint Conference on Biometrics, 2014.
• A. Sharma, S. Verma, M. Vatsa, R. Singh, On Cross Spectral Periocular Recognition, In Proceedings of International Conference on Image Processing, 2014.
• I. Nigam, M. Vatsa, R. Singh, Leap Signature Recognition using HOOF and HOT features, In Proceedings of International Conference on Image Processing, 2014.
• P. Gupta, S. Behera, M. Vatsa, R. Singh, On Iris Spoofing using Print Attack, In Proceedings of International Conference on Pattern Recognition, 2014.
• T. I. Dhamecha, P. Sharma, R. Singh, M. Vatsa, On Effectiveness of Histogram of Oriented Gradient Features for VIS to NIR Face Matching, In Proceedings of International Conference on Pattern Recognition, 2014.

• H. Mehrotra, M. Vatsa, R. Singh, and B. Majhi, Does Iris Change Over Time?, PLoS ONE 8(11): e78333, 2013.
• H.S. Bhatt, S. Bharadwaj, R. Singh, and M. Vatsa, Plastic Surgery and Face Recognition, Encyclopedia of Biometrics, 2nd Edition .
• R. Singh, Recognizing Altered Appearances Due to Aging and Disguise, Signal and Image Processing for Biometrics Under Uncontrolled data Acquisition Conditions (Book Editors: Jacob Sharcanski, Hugo Proenca and Eliza Y. Du), Springer-Verlag.
• M. Vatsa, Quality Induced Multiclassifier Fingerprint Verification using Extended Feature Set, Signal and Image Processing for Biometrics Under Uncontrolled data Acquisition Conditions (Book Editors: Jacob Sharcanski, Hugo Proenca and Eliza Y. Du), Springer-Verlag.
• H.S. Bhatt, S. Bharadwaj, R. Singh, and M. Vatsa, Recognizing Surgically Altered Face Images using Multi-objective Evolutionary Algorithm, IEEE Transactions on Information Forensics and Security, Volume 8, No.1, pp.89-100, Jan. 2013. Also available as Technical Report.
• M. Tistarelli, D. Yadav, M. Vatsa, and R. Singh, Short- and Long-Time Aging Effects in Face Recognition, In Age Factors in Biometric Processing, Edited by Michael Fairhurst, IET Publisher, 2013.


• P. Agrawal, M. Vatsa, R. Singh, HEp-2 Cell Image Classification: A Comparative Analysis, MICCAI Workshop - MLMI, September, 2013. (Supplementary material)
• A. Sankaran, M. Vatsa, R. Singh, Automated Clarity and Quality Assessment for Latent Fingerprints, International Conference on Biometrics: Theory, Applications and Systems, 2013, Received the Best Poster Award.
• G. Goswami, S. Bharadwaj, M. Vatsa, and R. Singh, On RGB-D Face Recognition using Kinect, International Conference on Biometrics: Theory, Applications and Systems, 2013, Received the Best Poster Award.
• T. Chugh, H.S. Bhatt, R. Singh, and M. Vatsa, Matching Age Separated Composite Sketches and Digital Face Images, International Conference on Biometrics: Theory, Applications and Systems, 2013.
• D. Yadav, R. Singh, M. Vatsa, M. Tistarelli, Bacteria Foraging Fusion For Face Recognition Across Age Progression, CVPR Biometrics Workshop, June, 2013.
• S. Bharadwaj, T. I. Dhamecha, M. Vatsa, R. Singh, Computationally Efficient Face Spoofing Detection with Motion Magnification, CVPR Biometrics Workshop, June, 2013.
• H.S. Bhatt, R. Singh, M. Vatsa, Can Combining Demographics and Biometrics Improve De-duplication Performance?, CVPR Biometrics Workshop, June, 2013.
• P. Mittal, A. Jain, R. Singh, and M. Vatsa, Boosting Local Descriptors for Matching Composite and Digital Face Images, IEEE International Conference on Image Processing (ICIP), 2013.
• S. Bharadwaj, M. Vatsa, and R. Singh, Can Holistic Representations be used for Face Biometric Quality Assessment?, IEEE International Conference on Image Processing (ICIP), 2013.
• H.S. Bhatt, R. Singh, and M. Vatsa, On Rank Aggregation for Face Recognition from Videos, IEEE International Conference on Image Processing (ICIP), 2013, Among the best reviewed papers of ICIP.
• T. I. Dhamecha, A. Nigam, R. Singh, and M. Vatsa, Disguise Detection and Face Recognition in Visible and Thermal Spectrums, 6th IAPR International Conference on Biometrics, June, 2013.
• D. Yadav, N. Kohli, R. Singh, and M. Vatsa, Revisiting Iris Recognition with Color Cosmetic Contact Lenses, 6th IAPR International Conference on Biometrics, June, 2013.

• H.S. Bhatt, S. Bharadwaj, R. Singh, and M. Vatsa, Memetically Optimized MCWLD for Matching Sketches with Digital Face Images, IEEE Transactions on Information Forensics and Security, Volume 5, No. 5, pp. 1522-1535, 2012. Also available as Technical Report.


• H. Mehrotra, M. Vatsa, R. Singh, and B. Majhi, Biometric match score fusion using RVM: A case study in multi-unit iris recognition, In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2012, pp. 65 -70.
• N. Kohli, R. Singh, and M. Vatsa, Self-Similarity Representation of Weber Faces for Kinship Classification, In Proceedings of International Conference on Biometrics: Theory, Applications and Systems, 2012.
• G. Goswami, R. Singh, M. Vatsa, B. Powell and A. Noore, Face Recognition CAPTCHA, In Proceedings of International Conference on Biometrics: Theory, Applications and Systems, 2012.
• S. S. Arora, M. Vatsa, R. Singh, and A. K. Jain, On Iris Camera Interoperability, In Proceedings of International Conference on Biometrics: Theory, Applications and Systems, 2012, Received the Best Poster Award
• A. Sankaran, M. Vatsa, and R. Singh, Hierarchical Fusion for Matching Simultaneous Latent Fingerprint, In Proceedings of International Conference on Biometrics: Theory, Applications and Systems, 2012. Also available as Technical Report.
• R. Singh and M. Pundir, On Entrance Test Criteria for CS and IT UG Programs, In Proceedings of 42nd IEEE Frontiers in Education Conference, 2012.
• S. Srivastava and R. Singh, A quantitative study of effectiveness in group learning, In Proceedings of 42nd IEEE Frontiers in Education Conference, 2012.
• H. Lamba, T. I. Dhamecha, M. Vatsa, and R. Singh, Incremental Subclass Discriminant Analysis: A Case Study in Face Recognition, In Proceedings of International Conference on Image Processing (ICIP), September 2012.Also available as Technial Report.
• H.S. Bhatt, R. Singh, M. Vatsa and N. Ratha, Matching Cross-Resolution Face Images Using Co-Transfer Learning, In Proceedings of International Conference on Image Processing (ICIP), September 2012.
• S.S. Arora, M. Vatsa, R. Singh, and A.K. Jain, Iris Recognition under Alcohol Influence: A Preliminary Study, In Proceedings of IAPR/IEEE International Conference on Biometrics, 2012.

• M. Vatsa, R. Singh, A. Noore, and K. Morris, Simultaneous Latent Fingerprint Recognition, In Applied Soft Computing, Elsevier, Volume 11, No. 7, pp. 4260-4266, 2011, Impact Factor: 2.415.


• H. Lamba, A. Sarkar, M. Vatsa, and R. Singh, Face Recognition for Look-Alikes: A Preliminary Study, In Proceedings of International Joint Conference on Biometrics, 2011.
• T.I. Dhamecha, A. Sankaran, R. Singh, and M. Vatsa, Is Gender Classification Across Ethnicity Feasible using Discriminant Functions?, In Proceedings of International Joint Conference on Biometrics, 2011.
• A. Sankaran, T.I. Dhamecha, M. Vatsa, and R. Singh, On Matching Latent to Latent Fingerprints, In Proceedings of International Joint Conference on Biometrics, 2011.
• H.S. Bhatt, S. Bharadwaj, R. Singh, M. Vatsa, A. Noore, and A. Ross, On Co-training Online Biometric Classifiers, In Proceedings of International Joint Conference on Biometrics, 2011, Received the Best Poster Award.
• H.S. Bhatt, S. Bharadwaj, M. Vatsa, R. Singh, A. Noore, and A. Ross, Quality Driven Biometric Classifier Selection Framework for Improved Performance, In Proceedings of International Joint Conference on Biometrics, 2011.
• S. Bharadwaj, H.S. Bhatt, M. Vatsa, and R. Singh, Quality Assessment based Denoising to Improve Face Recognition Performance, In Proceedings of IEEE Computer Society and IEEE Biometrics Council Workshop on Biometrics at Computer Vision and Pattern Recognition Conference, 2011.
• H.S. Bhatt, S. Bharadwaj, R. Singh, and M. Vatsa, Evolutionary Granular Computing Approach for Recognizing Face Images Altered due to Plastic Surgery, In Proceedings of International Conference on Face and Gesture Recognition, 2011.
• H.S. Bhatt, S. Bharadwaj, R. Singh, and M. Vatsa, Memetic Approach for Matching Sketches with Digital Face Images, IIITD-TR-2011-006, October 2011.

• B. Powell, A.C. Day, R. Singh, M. Vatsa and A. Noore, Image-based face detection CAPTCHA for improved security, In International Journal of Multimedia Intelligence and Security, Volume 1, No. 3, pp. 269-284, 2010.
• R. Singh, M. Vatsa, H.S. Bhatt, S. Bharadwaj, A. Noore and S.S. Nooreyezdan, Plastic Surgery: A New Dimension to Face Recognition, In IEEE Transaction on Information Forensics and Security, Volume 5, No. 3, pp. 441-448, 2010, Impact Factor: 2.338.
• M. Vatsa, R. Singh, A. A. Ross, and Noore, On Dynamic Selection in Biometric Fusion Algorithms, In IEEE Transaction on Information Forensics and Security, Volume 5, No. 3, pp. 470-479, 2010, Impact Factor: 2.338.
• R. Singh, M. Vatsa, A. Ross, and A. Noore, Biometric Classifier Update using Online Learning: A Case Study in Near Infrared Face Verification, In Image and Vision Computing, Volume 28, No. 7, pp. 1098-1105, 2010, Impact Factor: 1.474.
• H.S. Bhatt, S. Bharadwaj, R. Singh and M. Vatsa, On Matching Sketches with Digital Face Images, In Proceedings of International Conference on Biometrics: Theory, Applications and Systems, 2010.
• S. Bharadwaj, H.S. Bhatt, R. Singh, M. Vatsa, and S.K. Singh, Face Recognition for Newborns: A Preliminary Study, In Proceedings of International Conference on Biometrics: Theory, Applications and Systems, 2010, Received the Best Poster Award.
• M. Vatsa, R. Singh, S. Bharadwaj, H.S. Bhatt, and A. Noore, Matching Digital and Scanned Face Images with Age Variation, In Proceedings of International Conference on Biometrics: Theory, Applications and Systems, 2010.
• S. Bharadwaj, H.S. Bhatt, M. Vatsa, and R. Singh, Periocular Biometrics: When Iris Recognition Fails, In Proceedings of International Conference on Biometrics: Theory, Applications and Systems, 2010.
• M. Vatsa, R. Singh, A. Tiwari, S. Bharadwaj, and H.S. Bhatt, Analyzing Fingerprint of Indian Population using Image Quality: A UIDAI Case Study, In Proceedings of Workshop on Emerging Trends and Challenges in Hand based Biometrics, International Conference on Pattern Recognition, 2010.
• M. Vatsa, R. Singh, A. Ross, and A. Noore, Quality based Fusion for Multichannel Iris Fusion, In Proceedings of International Conference on Pattern Recognition, 2010.
• C. Puri, K. Narang, A. Tiwari, M. Vatsa, and R. Singh, On Analysis of Rural and Urban Indian Fingerprint Images, In Proceedings of International Conference on Ethics and Policy of Biometrics and International Data Sharing, 2010.
• H.S. Bhatt, S. Bharadwaj, R. Singh, and M. Vatsa, Face Recognition and Plastic Surgery: Social, Ethical and Engineering Challenges, In Proceedings of International Conference on Ethics and Policy of Biometrics and International Data Sharing, 2010.

• M. Vatsa, R. Singh, A. Noore, and S.K. Singh, Combining Pores and Ridge Features for Improved Fingerprint Verification, In Signal Processing, Volume 89, No. 12, pp. 2676-2685, 2009.
• M. Vatsa, R. Singh, and A. Noore, Unification of Evidence Theoretic Fusion Algorithms: A Case Study in Level-2 and Level-3 Fingerprint Features, In IEEE Transaction on Systems, Man, and Cybernetics - A , Vol 29, No. 1, 2009.
• M. Vatsa, R. Singh, A. Noore, and M. Houck, Quality-Augmented Fusion of Level-2 and Level-3 Fingerprint Information using DSm Theory, In International Journal of Approximate Reasoning, Volume 50, No. 1, 2009.
• M. Vatsa, R. Singh, and A. Noore, Feature based RDWT Watermarking for Multimodal Biometric System, In Image and Vision Computing - Special Issue on Multimodal Biometrics, Volume 27, No. 3, 2009.
• R. Singh, M. Vatsa, and A. Noore, Face Recognition with Disguise and Single Gallery Images, In Image and Vision Computing - Special Issue on Multimodal Biometrics, Volume 27, No. 3, 2009.
• R. Singh, M. Vatsa, S.K. Singh, and S. Upadhaya, Integrating SVM Classification with SVD Watermarking for Intelligent Video Authentication, In Telecommunication Systems Journal - Special Issue on Computational Intelligence in Multimedia Computing, Springer, Volume 40, No. 1-2, 2009.
• R. Singh, M. Vatsa, and A. Noore, Matching Digital and Scanned Face Images with Age Variation, In Computational Forensics, Series in Studies in Computational Intelligence, K. Franke, S. Petrovic, and A. Abraham (Editors), Springer, 2009, In Press.
• A. Noore, R. Singh, and M. Vatsa, Sensor Level Fusion, In Encyclopedia of Biometric Recognition, S.Z. Li (Editor), Springer, 2009.


• M. Vatsa, R. Singh, and A. Noore, Context Switching Algorithm for Selective Multibiometric Fusion, In Proceedings of International Conference on Pattern Recognition and Machine Intelligence, pp. 452-457, 2009.
• H.S. Bhatt, R. Singh, and M. Vatsa, Matching Sketches with Digital Face Images, I-CARE Workshop, IBM IRL, 2009.
• M. Vatsa, R. Singh, A. Noore, and K. Morris, Simultaneous Latent Fingerprint Recognition: A Preliminary Study, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, 2009, Among the Best Reviewed Papers.
• R. Singh, M. Vatsa, A. Ross, and A. Noore, Online Learning in Biometrics: A Case Study in Face Classifier Update, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems, 2009, Received the Best Poster Award.
• R. Singh, M. Vatsa, and A. Noore, Effect of Plastic Surgery on Face Recognition: A Preliminary Study, In Proceedings of IEEE Computer Society Workshop on Biometrics at Computer Vision and Pattern Recognition Conference, pp. 72-77, 2009.
• M. Vatsa, R. Singh, and A. Noore, Fingerprint Indexing using Minutiae and Pore Features, In Proceedings of International Conference on Image Processing, Computer Vision and Pattern Recognition Conference, pp. 870-875, 2009.
• R. Singh, M. Vatsa, and A. Noore, Denoising and Segmentation of 3D Brain Images, In Proceedings of Image Processing, Computer Vision and Pattern Recognition Conference, pp. 561-567, 2009.
• M. Vatsa, R. Singh, A. Noore, and S.K. Singh, Belief Function Theory based Biometric Match Score Fusion: Case Studies in Multi-Instance and Multi-Unit Iris Verification, In Proceedings of International Conference on Advances in Pattern Recognition, pp. 433-436, 2009.
• R. Singh, M. Vatsa, and A. Noore, Multimodal Medical Image Fusion using Redundant Discrete Wavelet Transform, In Proceedings of International Conference on Advances in Pattern Recognition, pp. 232-235, 2009.

• M. Vatsa, R. Singh, and A. Noore, Improving Iris Recognition Performance using Segmentation, Quality Enhancement, Match Score Fusion and Indexing, In IEEE Transactions on Systems, Man, and Cybernetics - B, Volume 38, No. 3, 2008.
• R. Singh, M. Vatsa, and A. Noore, Integrated Multilevel Image Fusion and Match Score Fusion of Visible and Infrared Face Images for Robust Face Recognition, In Pattern Recognition - Special Issue on Multimodal Biometrics, Volume 41, No. 3, pp. 880-893, 2008.
• R. Singh, M. Vatsa, and A. Noore, Hierarchical fusion of Multi-Spectral Face Images for Improved Recognition Performance, In Information Fusion (Elsevier), Volume 9, No. 2, pp. 200-210, 2008.
• R. Singh, M. Vatsa, and A. Noore, Improving Verification Accuracy by Synthesis of Locally Enhanced Biometric Images and Deformable Model, In Signal Processing, Volume 87, No. 11, pp. 2746-2764, 2007.
• M. Vatsa, R. Singh, and A. Noore, Integrating Image Quality in 2n-SVM Biometric Match Score Fusion, In International Journal of Neural Systems, Volume 17, No. 5, pp. 343-351, 2007.
• R. Singh, M. Vatsa, A. Ross and A. Noore, A Mosaicing Scheme for Pose Invariant Face Recognition, In IEEE Transactions on Systems, Man, and Cybernetics - B, Special Issue on Biometrics, Volume 37, No. 5, pp. 1212-1225, 2007.
• A. Noore, R. Singh, M. Vatsa, and M.M. Houck, Enhancing Security of Fingerprints through Contextual Biometric Watermarking, In Forensic Science International (Elsevier), Volume 169, Issues 2-3, pp. 188-194, 2007.
• A. Noore, R. Singh, and M. Vatsa, Robust Memory Efficient Data Level Information Fusion of Multimodal Biometric Images, In Information Fusion (Elsevier), Volume 8, Issue 4, pp. 337-346, 2007.
• A. Noore, M. Vatsa, R. Singh, K. Morris, and M. Houck, Multiple Watermarking Enhances Security of Fingerprint Images, In Journal of Document and Identity, Volume 22, pp. 3-6, 2007.
• R. Singh, M. Vatsa, A. Noore and S. K. Singh, DS Theory Classifier Fusion with Update Rule to Minimize Training Time, In IEICE Electronics Express, Volume 3, No. 20, pp. 429-435, 2006.
• M. Vatsa, R. Singh, A. Noore, M. Houck, and K. Morris, Robust Biometric Image Watermarking for Fingerprint and Face Template Protection, In IEICE Electronics Express, Volume 3, No. 2, pp. 23-28, 2006.
• M. Vatsa, R. Singh, and A. Noore, Improving Biometric Recognition Accuracy and Robustness using DWT and SVM Watermarking, In IEICE Electronics Express, Volume 2, No. 12, pp. 362-367, 2005.
• M. Vatsa, R. Singh, and A. Noore, Reducing the False Rejection Rate of Iris Recognition using Textural and Topological Features, In International Journal of Signal Processing, Volume 2, No. 1, pp. 66-72, 2005.
• R. Singh., M. Vatsa, and A. Noore, Textural Feature based Face Recognition for Single Training Images, In IEE Electronics Letters, Volume 41, Issue 11, pp. 23-24, 2005.


• R. Singh, M. Vatsa, and A. Noore, Recognizing Face Images with Disguise Variations, In Face Recognition, M.S. Bartlett, K. Delac, and M. Grgic (Editors), ITECH Publishing, Chapter 11, pp. 149-160, 2008 (Invited Chapter).
• M. Vatsa, R. Singh, S.K. Singh, and S. Upadhyay, Relative Correlation Information based Robust Video Authentication, In Computational Intelligence in Multimedia Processing: Recent Advances, A.E. Hassanien, J. Kacprzyk, and A. Abraham (Editors), Springer Verlag, Chapter 19, 2008.
• M. Vatsa, R. Singh, and A. Noore, SVM based Adaptive Biometric Image Enhancement using Quality Assessment, In Speech, Audio, Image and Biomedical Signal Processing using Neural Networks, B. Prasad and S.R.M. Prasanna (Editors), Springer Verlag, Chapter 16, pp. 351-372, 2008.
• M. Vatsa, R. Singh, and A. Noore, Belief Model Fusion in Multimodal Biometrics, In Advances and Applications of DSmT for Information Fusion - Volume III, F. Smarandache and J. Dezert (Editors), American Research Press, Chapter 17, pp. 455-469, 2008 (Invited Chapter).
• R. Singh, M. Vatsa, and P. Gupta, Biometrics, In Encyclopedia of Multimedia Technology and Networking 2nd Edition, M. Pagani (Editor), Idea Group Publishing, 2007.
• R. Singh, M. Vatsa, and A. Noore, Intelligent Biometric Information Fusion using Support Vector Machine, In Soft Computing in Image Processing: Recent Advances, M. Nachtegael, D. Van der Weken, E.E. Kerre, and W. Philips (Editors), Springer, Chapter 12, pp. 327-350, 2006.
• M. Vatsa, R. Singh, and P. Gupta, Video Biometrics, In Video Data Management and Information Retrieval, S. Deb (Editor), Idea Group Publishing, Chapter 6, 2005.
• I. Chakravarty, N. Mishra, M. Vatsa, R. Singh, and P. Gupta, Online Signature Recognition, In Encyclopedia of Data Warehousing and Mining, J. Wang (Editor), Idea Group Publishing, 2005.
• I. Chakravarty, N. Mishra, M. Vatsa, R. Singh, and P. Gupta, Offline Signature Recognition, In Encyclopedia of Data Warehousing and Mining, J. Wang (Editor), Idea Group Publishing, 2005.
• M. Vatsa, R. Singh, P. Gupta, and A. Kaushik, Overview of Biometric Technologies, In Encyclopedia of Multimedia, Technology and Networking, M. Pagani (Editor), Idea Group Publishing, 2005.
• M. Vatsa, R. Singh, P. Gupta, and A. Kaushik, Image Database for Multimodal Biometric Systems, In Encyclopedia of Database Technologies and Applications, L. Rivero, J. Doorn, and V. Ferraggine (Editors), Idea Group Publishing, 2005.


• R. Singh, M. Vatsa, and A. Noore, Multiclass mn-Granular Soft Support Vector Machine: A Case Study in Dynamic Classifier Selection for Multispectral Face Recognition, In Proceedings of International Conference on Pattern Recognition, 2008.
• M. Vatsa, R. Singh, A. Noore, and S.K. Singh Quality Induced Fingerprint Identification using Extended Feature Set, In Proceedings of IEEE Conference on Biometrics: Theory, Applications and Systems, 2008.
• M. Vatsa, R. Singh, A. Ross, and A. Noore, Likelihood Ratio in a SVM Framework: Fusing Linear and Non-Linear Face Classifiers, In Proceedings of IEEE Computer Society Workshop on Biometrics at the Computer Vision and Pattern Recognition Conference, 2008.
• R. Singh, M. Vatsa, A. Noore and S. K. Singh, Age Transformation for Improving Face Recognition Performance, In Proceedings of Second International Conference on Pattern Recognition and Machine Intelligence, LNCS Volume 4815, pp. 576-583, 2007.
• M. Vatsa, R. Singh, and A. Noore, Unification of Evidence Theoretic Fusion Algorithms: A Case Study in Level-2 and Level-3 Fingerprint Features, In Proceedings of IEEE Conference on Biometrics: Theory, Applications and Systems, 2007, Received the Honeywell Best Student Paper Award.
• R. Singh, M. Vatsa, A. Noore and S. K. Singh, Dempster Shafer Theory based Classifier Fusion for Improved Fingerprint Verification Performance, In Proceedings of Indian Conference on Computer Vision, Graphics and Image Processing, LNCS Volume 4338, pp. 941-949, 2006.
• R. Singh, M. Vatsa, A. Ross, and A. Noore, Performance Enhancement of 2D Face Recognition via Mosaicing, In Proceedings of Fourth IEEE Workshop on Automatic Identification Advanced Technologies, pp. 63-68, 2005, Received the Best Student Paper Award (First Prize).
• M. Vatsa, R. Singh, and A. Noore, Enhancing Accuracy and Security of Multi-biometric Template using RDWT Watermarking, In Proceedings of Summer School on Biometric Authentication: Multimodality and System Integration, 2005, Received the Best Paper Award.
• R. Singh., M. Vatsa, and A. Noore, Recognition of Faces with Variations in Disguise, In Proceedings of Summer School on Biometric Authentication: Multimodality and System Integration, 2005, Received the Best Paper Award.
• M. Vatsa, R. Singh, and P. Gupta, Multi Biometric System with Minimum Training Data, In Proceedings of Indian Conference on Computer Vision, Graphics and Image Processing, 2004.
• M. Vatsa, R. Singh, P. Mitra, and A. Noore, Digital Watermarking based Secure Multimodal Biometric System, In Proceedings of IEEE International Conference on Systems, Man and Cybernetics (IEEE SMC 04), Volume 3, pp. 2983-2987, 2004.
• M. Vatsa, R. Singh, and P. Gupta, Face Recognition using Multiple Recognizers, In Proceedings of IEEE International Conference on Systems, Man and Cybernetics, Volume 3, pp. 2186-2190, 2004.
• M. Vatsa, R. Singh, P. Mitra, and A. Noore, Signature Verification using Static and Dynamic Features, In Proceedings of International Conference on Neural and Information Processing, LNCS Volume 3316, pp. 350-355, 2004.
• M. Vatsa, R. Singh, P. Mitra, and A. Noore, Comparing Robustness of Watermarking Algorithms on Biometrics Data, In Proceedings of Workshop on Biometric Challenges from Theory to Practice (ICPR Workshop), 2004.
• B. R. Meena, M. Vatsa, R. Singh, and P. Gupta, Iris based Human Verification Algorithms, In Proceedings of International Conference on Biometric Authentication, LNCS Volume 3072, pp. 458-466, 2004.
• M. Vatsa, R. Singh, and P. Gupta, Automatic Facial Feature Extraction for Face Recognition, In Proceedings of IAPR Second Workshop on Computer Vision, Graphics and Image Processing, 2004.
• M. Vatsa, R. Singh, and P. Gupta, Comparison of Iris Recognition Algorithms, In Proceedings of IEEE International Conference on Intelligent Sensing and Information Processing, pp. 354-358, 2004.

• S.K. Singh, D.S. Chauhan, M. Vatsa, and R. Singh, A Robust Skin Color Based Face Detection Algorithm, In International Tamkang Journal of Science Engineering, Volume 6, No. 4, pp. 227-234, 2003.
• S.K. Singh, D.S. Chauhan, M. Vatsa, and R. Singh, Hybrid FEB Face Recognition Algorithm, In World Scientific and Engineering Academy and Society Transactions on Computers, Volume 2, No. 2, pp. 373-378, 2003.
• M. Vatsa, R. Singh, S.K. Singh, and D.S. Chauhan, Design of Face Recognition system, In ElectronicsLetters, 2003.
• M. Vatsa, R. Singh, S.K. Singh, and D.S. Chauhan, Comparison of Two Approaches of Face Detection Algorithm in Controlled Background, In ElectronicsLetters, 2003.
• M. Vatsa, R. Singh, S.K. Singh, K.K. Shukla, and R.B. Lokesh, Face Recognition Technology: A Biometric Solution to Security Problems, In Multimedia Systems and Content-based Image Retrieval, S. Deb (Editor), Idea Group Publishing, Chapter 4, 2003.
• M. Vatsa, R. Singh, and P. Gupta, A New Skin Color Based Face Detection Algorithm, In Proceedings of IAPR Fifth International Conference on Advances in Pattern Recognition, pp. PR-140-143, 2003.
• M. Vatsa, R. Singh, and P. Gupta, Face Detection using Gradient Vector Flow, In Proceedings of Second IEEE International Conference on Machine Learning and Cybernetics, Volume 5, pp. 3259-3263, 2003.
• M. Vatsa, R. Singh, A. Srivastava, and P. Gupta, Image Database for Biometrics Personal Authentication System, In Proceedings of International Conference on Computer Vision Pattern Recognition and Image Processing, 2003.
• M. Vatsa, R. Singh, S.K. Singh, and K.K. Shukla, A Comparative Study of Various Face Recognition Algorithms, In Proceedings of IEEE International Workshop on Computer Architecture for Machine Perception, 2003.
• M. Vatsa, R. Singh, S.K. Singh, and D.S. Chauhan, Comparison of Face Recognition Technology: Neural Network Line Based Approach, In Proceedings of International Conference on IEEE System, Man and Cybernetics, Volume 6, pp. WA2H3:1-6, 2002.
• M. Vatsa, R. Singh, S.K. Singh, and D.S. Chauhan, Automatic Face Recognition: A Survey Report, In Proceedings of International Conference on Multimedia and Design, pp. 91-98, 2002.
• M. Vatsa, R. Singh, and S.K. Singh, Design and Implementation of Face Recognition System, In Proceedings of 12th IAPR Portuguese Conference on Pattern Recognition, pp. P07-P12, 2002.
• M. Vatsa, R. Singh, S.K. Singh, and D.S. Chauhan, A Comparison of Face Recognition Algorithms (Feature Based, Eigen Based, Neural Network Based Approaches), In Proceedings of International Conference on Intelligent Systems, 2002.
• M. Vatsa, R. Singh, S.K. Singh, and R.B. Lokesh, Image Database for Automatic Face Recognition, In Proceedings of International Conference on Computer Vision, Pattern Recognition and Image Processing, pp. 704-707, 2002.
• M. Vatsa, R. Singh, and S.K. Singh, Neural Network Approach for Selection of Geo Friendly Instruments and its Analysis, In Proceedings of International Conference on Quality, Reliability and Control, pp. 88-95, 2001.
• M. Vatsa, R. Singh, and S.K. Singh, Face Recognizing Robot, In Proceedings of International Conference on Generative Arts, 2001 (electronic proceedings).
• M. Vatsa, R. Singh, and S.K. Singh, Face Recognition Technology: Comparison between Feature Based Method and Neural Network Based Method, In Proceedings of International Conference on Intelligent Technologies, 2001.