| Image segmentation using deep learning: A survey S Minaee, Y Boykov, F Porikli, A Plaza, N Kehtarnavaz, D Terzopoulos IEEE transactions on pattern analysis and machine intelligence 44 (7), 3523-3542, 2021 | 1740 | 2021 |
| UTD-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor C Chen, R Jafari, N Kehtarnavaz 2015 IEEE International conference on image processing (ICIP), 168-172, 2015 | 681 | 2015 |
| Brain functional localization: a survey of image registration techniques A Gholipour, N Kehtarnavaz, R Briggs, M Devous, K Gopinath IEEE transactions on medical imaging 26 (4), 427-451, 2007 | 373 | 2007 |
| A survey of depth and inertial sensor fusion for human action recognition C Chen, R Jafari, N Kehtarnavaz Multimedia Tools and Applications 76, 4405-4425, 2017 | 342 | 2017 |
| Real-time human action recognition based on depth motion maps C Chen, K Liu, N Kehtarnavaz Journal of real-time image processing 12, 155-163, 2016 | 342 | 2016 |
| Improving human action recognition using fusion of depth camera and inertial sensors C Chen, R Jafari, N Kehtarnavaz IEEE Transactions on Human-Machine Systems 45 (1), 51-61, 2014 | 279 | 2014 |
| Action recognition from depth sequences using depth motion maps-based local binary patterns C Chen, R Jafari, N Kehtarnavaz 2015 IEEE winter conference on applications of computer vision, 1092-1099, 2015 | 237 | 2015 |
| Development and real-time implementation of a rule-based auto-focus algorithm N Kehtarnavaz, HJ Oh Real-Time Imaging 9 (3), 197-203, 2003 | 188 | 2003 |
| Digital signal processing system-level design using LabVIEW N Kehtarnavaz, N Kim Elsevier, 2011 | 171 | 2011 |
| A real-time human action recognition system using depth and inertial sensor fusion C Chen, R Jafari, N Kehtarnavaz IEEE Sensors Journal 16 (3), 773-781, 2015 | 165 | 2015 |
| Fusion of inertial and depth sensor data for robust hand gesture recognition K Liu, C Chen, R Jafari, N Kehtarnavaz IEEE Sensors Journal 14 (6), 1898-1903, 2014 | 163 | 2014 |
| Deep learning-based human pose estimation: A survey C Zheng, W Wu, C Chen, T Yang, S Zhu, J Shen, N Kehtarnavaz, M Shah arXiv preprint arXiv:2012.13392, 2020 | 144 | 2020 |
| A convolutional neural network smartphone app for real-time voice activity detection A Sehgal, N Kehtarnavaz IEEE Access 6, 9017-9026, 2018 | 130 | 2018 |
| Real-time image and video processing: from research to reality N Kehtarnavaz, M Gamadia Synthesis Lectures on Image, Video & Multimedia Processing 2 (1), 1-108, 2006 | 118 | 2006 |
| Stop-sign recognition based on color/shape processing N Kehtarnavaz, NC Griswold, DS Kang Machine Vision and Applications 6, 206-208, 1993 | 113 | 1993 |
| Skin cancer detection by spectroscopic oblique-incidence reflectometry: classification and physiological origins A Garcia-Uribe, N Kehtarnavaz, G Marquez, V Prieto, M Duvic, LV Wang Applied Optics 43 (13), 2643-2650, 2004 | 110 | 2004 |
| Digital signal processing system design: LabVIEW-based hybrid programming N Kehtarnavaz Elsevier, 2011 | 108 | 2011 |
| Visual control of an autonomous vehicle (BART)-the vehicle-following problem N Kehtarnavaz, NC Griswold, JS Lee IEEE Transactions on Vehicular Technology 40 (3), 654-662, 1991 | 108 | 1991 |
| Computer-assisted photo-identification of individual marine vertebrates: a multi-species system GR Hillman, B Wursig, GA Gailey, N Kehtarnavaz, A Drobyshevsky, ... Aquatic Mammals 29 (1), 117-123, 2003 | 106 | 2003 |
| A medication adherence monitoring system for pill bottles based on a wearable inertial sensor C Chen, N Kehtarnavaz, R Jafari 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 102 | 2014 |
