Anush Sankaran
Anush Sankaran
Microsoft Security Research
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Deeptriage: Exploring the effectiveness of deep learning for bug triaging
S Mani, A Sankaran, R Aralikatte
Proceedings of the ACM India joint international conference on data science …, 2019
Latent fingerprint matching: A survey
A Sankaran, M Vatsa, R Singh
IEEE Access 2, 982-1004, 2014
On smartphone camera based fingerphoto authentication
A Sankaran, A Malhotra, A Mittal, M Vatsa, R Singh
2015 IEEE 7th international conference on biometrics theory, applications …, 2015
Multisensor optical and latent fingerprint database
A Sankaran, M Vatsa, R Singh
IEEE access 3, 653-665, 2015
On matching latent to latent fingerprints
A Sankaran, TI Dhamecha, M Vatsa, R Singh
2011 international joint conference on biometrics (IJCB), 1-6, 2011
Group sparse autoencoder
A Sankaran, M Vatsa, R Singh, A Majumdar
Image and Vision Computing 60, 64-74, 2017
Adaptive latent fingerprint segmentation using feature selection and random decision forest classification
A Sankaran, A Jain, T Vashisth, M Vatsa, R Singh
Information Fusion 34, 1-15, 2017
On latent fingerprint minutiae extraction using stacked denoising sparse autoencoders
A Sankaran, P Pandey, M Vatsa, R Singh
IEEE International Joint Conference on Biometrics, 1-7, 2014
Explaining deep learning models using causal inference
T Narendra, A Sankaran, D Vijaykeerthy, S Mani
arXiv preprint arXiv:1811.04376, 2018
Hierarchical fusion for matching simultaneous latent fingerprint
A Sankaran, M Vatsa, R Singh
2012 IEEE Fifth International Conference on Biometrics: Theory, Applications …, 2012
DLPaper2Code: Auto-generation of code from deep learning research papers
A Sethi, A Sankaran, N Panwar, S Khare, S Mani
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Fingerphoto authentication using smartphone camera captured under varying environmental conditions
A Malhotra, A Sankaran, A Mittal, M Vatsa, R Singh
Human recognition in unconstrained environments, 119-144, 2017
Class sparsity signature based restricted Boltzmann machine
A Sankaran, G Goswami, M Vatsa, R Singh, A Majumdar
Pattern Recognition 61, 674-685, 2017
Automated clarity and quality assessment for latent fingerprints
A Sankaran, M Vatsa, R Singh
2013 IEEE Sixth International Conference on Biometrics: Theory, Applications …, 2013
On matching finger-selfies using deep scattering networks
A Malhotra, A Sankaran, M Vatsa, R Singh
IEEE Transactions on Biometrics, Behavior, and Identity Science 2 (4), 350-362, 2020
Fingerphoto spoofing in mobile devices: a preliminary study
A Taneja, A Tayal, A Malhorta, A Sankaran, M Vatsa, R Singh
2016 IEEE 8th International Conference on Biometrics Theory, Applications …, 2016
Coverage testing of deep learning models using dataset characterization
S Mani, A Sankaran, S Tamilselvam, A Sethi
arXiv preprint arXiv:1911.07309, 2019
Multi-modal construction of deep learning networks
AR Rahul, N Gantayat, S Khare, SKK Mani, N Panwar, A Sankaran
US Patent 11,734,584, 2023
Intelligent recommendations implemented by modelling user profile through deep learning of multimodal user data
A Sankaran, N Gantayat, SG Tamilselvam
US Patent 11,164,105, 2021
A visual programming paradigm for abstract deep learning model development
SG Tamilselvam, N Panwar, S Khare, R Aralikatte, A Sankaran, S Mani
Proceedings of the 10th Indian Conference on Human-Computer Interaction, 1-11, 2019
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