| Machine learning at the network edge: A survey MGS Murshed, C Murphy, D Hou, N Khan, G Ananthanarayanan, ... ACM Computing Surveys (CSUR) 54 (8), 1-37, 2021 | 448 | 2021 |
| Canny edge detection and Hough transform for high resolution video streams using Hadoop and Spark B Iqbal, W Iqbal, N Khan, A Mahmood, A Erradi Cluster Computing 23 (1), 397-408, 2020 | 61 | 2020 |
| LSM: perceptually accurate line segment merging N Hamid, N Khan Journal of Electronic Imaging 25 (6), 2016 | 25 | 2016 |
| Discriminative dictionary learning with spatial priors N Khan, MF Tappen 2013 IEEE International Conference on Image Processing, 166-170, 2013 | 13 | 2013 |
| Training many-parameter shape-from-shading models using a surface database N Khan, L Tran, M Tappen 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 12 | 2009 |
| Correcting cuboid corruption for action recognition in complex environment SZ Masood, A Nagaraja, N Khan, J Zhu, MF Tappen 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011 | 9 | 2011 |
| CALText: Contextual attention localization for offline handwritten text T Anjum, N Khan Neural Processing Letters 55 (6), 7227-7257, 2023 | 8 | 2023 |
| SARGAN: Spatial attention-based residuals for facial expression manipulation A Akram, N Khan IEEE Transactions on Circuits and Systems for Video Technology 33 (10), 5433 …, 2023 | 8 | 2023 |
| An attention based method for offline handwritten Urdu text recognition T Anjum, N Khan 2020 17th International Conference on Frontiers in Handwriting Recognition …, 2020 | 8 | 2020 |
| Masked linear regression for learning local receptive fields for facial expression synthesis N Khan, A Akram, A Mahmood, S Ashraf, K Murtaza International Journal of Computer Vision 128 (5), 1433-1454, 2020 | 8 | 2020 |
| Hazard Detection in Supermarkets using Deep Learning on the Edge MG Murshed, E Verenich, JJ Carroll, N Khan, F Hussain arXiv preprint arXiv:2003.04116, 2020 | 8* | 2020 |
| US-GAN: on the importance of ultimate skip connection for facial expression synthesis A Akram, N Khan Multimedia Tools and Applications 83 (3), 7231-7247, 2024 | 6 | 2024 |
| Pulmonary Disease Classification Using Globally Correlated Maximum Likelihood: an Auxiliary Attention mechanism for Convolutional Neural Networks E Verenich, T Martin, A Velasquez, N Khan, F Hussain arXiv preprint arXiv:2109.00573, 2021 | 6 | 2021 |
| Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia E Verenich, A Velasquez, N Khan, F Hussain 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 6 | 2020 |
| Adversarial Placement Vector Learning A Rafique, T Iftikhar, N Khan 2019 2nd International Conference on Advancements in Computational Sciences …, 2019 | 6 | 2019 |
| Stable discriminative dictionary learning via discriminative deviation N Khan, M Tappen Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 6 | 2012 |
| Silhouette-Based 2D-3D Pose Estimation Using Implicit Algebraic Surfaces N Khan, B Rosenhahn, J Weickert Master Thesis in Computer Science, Saarland University, 2007 | 6 | 2007 |
| Resource-aware On-device Deep Learning for Supermarket Hazard Detection MGS Murshed, JJ Carroll, N Khan, F Hussain 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 5 | 2020 |
| Line extraction in handwritten documents via instance segmentation A Islam, T Anjum, N Khan International Journal on Document Analysis and Recognition (IJDAR) 26 (3 …, 2023 | 4 | 2023 |
| Efficient Deployment of Deep Learning Models on Autonomous Robots in the ROS Environment MG Sarwar Murshed, JJ Carroll, N Khan, F Hussain Deep Learning Applications, Volume 3, 215-243, 2022 | 4 | 2022 |
Faraz HussainClarkson UniversityVerified email at clarkson.edu
