| Demodulation of faded wireless signals using deep convolutional neural networks AS Mohammad, N Reddy, F James, C Beard 2018 IEEE 8th Annual Computing and Communication Workshop and Conference …, 2018 | 50 | 2018 |
| Convolutional neural networks for gender prediction from smartphone‐based ocular images A Rattani, N Reddy, R Derakhshani Iet Biometrics 7 (5), 423-430, 2018 | 48 | 2018 |
| Convolutional neural network for age classification from smart-phone based ocular images A Rattani, N Reddy, R Derakhshani 2017 IEEE international joint conference on biometrics (IJCB), 756-761, 2017 | 35 | 2017 |
| Comparison of Deep Learning Models for Biometric-based Mobile User Authentication N Reddy, A Rattani, R Derakhshani 2018 IEEE 9th International Conference on Biometrics Theory, Applications …, 2018 | 34 | 2018 |
| Gender prediction from mobile ocular images: A feasibility study A Rattani, N Reddy, R Derakhshani 2017 IEEE International Symposium on Technologies for Homeland Security (HST …, 2017 | 33 | 2017 |
| Generalizable deep features for ocular biometrics N Reddy, A Rattani, R Derakhshani Image and Vision Computing 103, 103996, 2020 | 27 | 2020 |
| OcularNet: Deep Patch-based Ocular Biometric Recognition N Reddy, A Rattani, R Derakhshani Technologies for Homeland Security (HST), 2018 IEEE International Symposium on, 2018 | 27 | 2018 |
| A robust scheme for iris segmentation in mobile environment N Reddy, A Rattani, R Derakhshani Technologies for Homeland Security (HST), 2016 IEEE Symposium on, 2016 | 21 | 2016 |
| VISOB 2.0-the second international competition on mobile ocular biometric recognition H Nguyen, N Reddy, A Rattani, R Derakhshani Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 18 | 2021 |
| Multi-biometric convolutional neural networks for mobile user authentication A Rattani, N Reddy, R Derakhshani 2018 IEEE International Symposium on Technologies for Homeland Security (HST …, 2018 | 17 | 2018 |
| Multi-frame super resolution for ocular biometrics N Reddy, D Fahim Noor, Z Li, R Derakhshani Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 12 | 2018 |
| Robust Subject-invariant Feature Learning for Ocular Biometrics in Visible Spectrum N Reddy, A Rattani, R Derakhshani 10th IEEE International Conference on Biometrics: Theory, Applications and …, 2019 | 9 | 2019 |
| Emotion detection using periocular region: A cross-dataset study N Reddy, R Derakhshani 2020 International Joint Conference on Neural Networks (IJCNN), 1-6, 2020 | 8 | 2020 |
| Harnessing unlabeled data to improve generalization of biometric gender and age classifiers AV Nadimpalli, N Reddy, S Ramachandran, A Rattani 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2021 | 7 | 2021 |
| Methods for deep-learning based super-resolution using high-frequency loss SNRD Reddy US Patent 10,817,991, 2020 | 6 | 2020 |
| Systems and methods for deep-learning based super-resolution using multiple degradations on-demand learning SNRD Reddy, Q Dai US Patent 11,521,131, 2022 | 3 | 2022 |
| Learning Efficient Deep Feature Extraction for Mobile Ocular Biometrics N Reddy University of Missouri-Kansas City, 2020 | | 2020 |
Reza DerakhshaniProfessor, Computer Science and Electrical Engineering, University of Missouri-KansasVerified email at umkc.edu
