| A neural network approach to character recognition A Rajavelu, MT Musavi, MV Shirvaikar Neural networks 2 (5), 387-393, 1989 | 187 | 1989 |
| A neural network filter to detect small targets in high clutter backgrounds MV Shirvaikar, MM Trivedi IEEE Transactions on neural networks 6 (1), 252-257, 1995 | 138 | 1995 |
| An optimal measure for camera focus and exposure MV Shirvaikar Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of …, 2004 | 122 | 2004 |
| A vision based method to automate map processing MT Musavi, MV Shirvaikar, E Ramanathan, AR Nekovei Pattern Recognition 21 (4), 319-326, 1988 | 67 | 1988 |
| Trends in automated visual inspection M Shirvaikar Journal of Real-Time Image Processing 1 (1), 41-43, 2006 | 51 | 2006 |
| Developing texture-based image clutter measures for object detection MV Shirvaikar, MM Trivedi Optical Engineering 31 (12), 2628-2639, 1992 | 50 | 1992 |
| A comparison between DSP and FPGA platforms for real-time imaging applications M Shirvaikar, T Bushnaq Real-Time Image and Video Processing 2009 7244, 49-58, 2009 | 34 | 2009 |
| Edge detection using the fuzzy control paradigm JC Bezdek, M Shirvaikar Proc. 2nd Eur. Congress Intell. Tech. Soft Computing 1, 1-12, 1994 | 30 | 1994 |
| Cellular automata-based parallel random number generators using FPGAs DHK Hoe, JM Comer, JC Cerda, CD Martinez, MV Shirvaikar International Journal of Reconfigurable Computing 2012, 4-4, 2012 | 25 | 2012 |
| The measurement of bone quality using gray level co-occurrence matrix textural features M Shirvaikar, N Huang, XN Dong Journal of medical imaging and health informatics 6 (6), 1357-1362, 2016 | 24 | 2016 |
| Biomechanical properties and microarchitecture parameters of trabecular bone are correlated with stochastic measures of 2D projection images XN Dong, M Shirvaikar, X Wang Bone 56 (2), 327-336, 2013 | 24 | 2013 |
| Optimization of computer vision algorithms for real time platforms P Poudel, M Shirvaikar 2010 42nd Southeastern Symposium on System Theory (SSST), 51-55, 2010 | 23 | 2010 |
| Quantitative characterization of image clutter: problem, progress, and promises MM Trivedi, MV Shirvaikar Characterization, Propagation, and Simulation of Sources and Backgrounds III …, 1993 | 23 | 1993 |
| Real-time detection of maize crop disease via a deep learning-based smartphone app B Richey, S Majumder, M Shirvaikar, N Kehtarnavaz Real-Time Image Processing and Deep Learning 2020 11401, 23-29, 2020 | 20 | 2020 |
| Automatic detection and interpretation of road signs MV Shirvaikar Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of …, 2004 | 14 | 2004 |
| Random field assessment of inhomogeneous bone mineral density from DXA scans can enhance the differentiation between postmenopausal women with and without hip fractures XN Dong, R Pinninti, T Lowe, P Cussen, JE Ballard, D Di Paolo, ... Journal of biomechanics 48 (6), 1043-1051, 2015 | 13 | 2015 |
| Deep learning based real-time detection of Northern Corn Leaf Blight crop disease using YoloV4 B Richey, MV Shirvaikar Real-Time Image Processing and Deep Learning 2021 11736, 39-45, 2021 | 12 | 2021 |
| Stochastic predictors from the DXA scans of human lumbar vertebrae are correlated with the microarchitecture parameters of trabecular bone XN Dong, R Pinninti, A Tvinnereim, T Lowe, D Di Paolo, M Shirvaikar Journal of biomechanics 48 (12), 2968-2975, 2015 | 10 | 2015 |
| Enhancement of flying probe tester systems with automated optical inspection P Radev, M Shirvaikar 2006 Proceeding of the Thirty-Eighth Southeastern Symposium on System Theory …, 2006 | 9 | 2006 |
| No-reference image quality assessment based on deep convolutional neural networks R Ravela, M Shirvaikar, C Grecos Real-Time Image Processing and Deep Learning 2019 10996, 1099604, 2019 | 8 | 2019 |
Mohan TrivediDistinguished Professor ECE, Univ California, San Diego, Director CVRR and LISA LabsVerified email at ucsd.edu
