| A multi-stream CNN for deep violence detection in video sequences using handcrafted features SM Mohtavipour, M Saeidi, A Arabsorkhi The Visual Computer 38 (6), 2057-2072, 2022 | 50 | 2022 |
| Intelligent network services in migration from PSTN toward NGN M Saeidi, M Pirhadi, F Ayazi 2006 8th International Conference Advanced Communication Technology 1, 5 pp.-269, 2006 | 14 | 2006 |
| A novel backbone architecture for pedestrian detection based on the human visual system M Saeidi, A Arabsorkhi The Visual Computer 38 (6), 2223-2237, 2022 | 13 | 2022 |
| Content-based obscene video recognition by combining 3D spatiotemporal and motion-based features A Behrad, M Salehpour, M Ghaderian, M Saiedi, MN Barati EURASIP Journal on Image and Video Processing 2012, 1-17, 2012 | 12 | 2012 |
| High-performance and deep pedestrian detection based on estimation of different parts M Saeidi, A Ahmadi The Journal of Supercomputing 77 (2), 2033-2068, 2021 | 10 | 2021 |
| Deep learning based on CNN for pedestrian detection: an overview and analysis M Saeidi, A Ahmadi 2018 9th International Symposium on Telecommunications (IST), 108-112, 2018 | 10 | 2018 |
| A novel approach for deep pedestrian detection based on changes in camera viewing angle M Saeidi, A Ahmadi Signal, Image and Video Processing 14 (6), 1273-1281, 2020 | 9 | 2020 |
| Pedestrian detection using an extended fast RCNN based on a secure margin in RoI feature maps M Saeidi, A Ahmadi 2018 9th International Symposium on Telecommunications (IST), 155-159, 2018 | 8 | 2018 |
| An associative memory-based learning model with an efficient hardware implementation in FPGA A Ahmadi, HJ Mattausch, MA Abedin, M Saeidi, T Koide Expert Systems with Applications 38 (4), 3499-3513, 2011 | 8 | 2011 |
| Image sequences filtering using a new fuzzy algorithm based on triangular membership function M Saeidi, LC Anzabi, M Khaleghi International Journal of Signal Processing, Image Processing and Pattern …, 2009 | 8 | 2009 |
| Deep learning based on parallel CNNs for pedestrian detection M Saeidi, A Ahmadi International Journal of Information and Communication Technology Research …, 2018 | 7 | 2018 |
| Noise reduction in image sequences using an effective fuzzy algorithm M Saeidi, K Saeidi, M Khaleghi International Journal of Computer and Information Engineering 2 (7), 2540-2545, 2008 | 6 | 2008 |
| Noise reduction of image sequences using adaptive weighted averaging filter without knowing noise variance M Saeidi, SA Motamedi, A Behrad, B Saeidi, R Saeidi IASTED Int. Conf. Image and Signal Processing, August 15, 2005 | 5 | 2005 |
| Adaptive Weighted Averaging Filter Using the Appropriate Number of Consecutive Frames M Saeidi, A Nazemipour vol 4, 320-324, 2010 | 4 | 2010 |
| Filtering image sequences corrupted by mixed noise using a new fuzzy algorithm M Saeidi, MH Moradi, F Sagafi 2006 International Conference on Image Processing, 1797-1800, 2006 | 4 | 2006 |
| Obscene video recognition using fuzzy SVM and new sets of features A Behrad, M Salehpour, M Saiedi, MN Barati International Journal of Advanced Robotic Systems 10 (2), 99, 2013 | 3 | 2013 |
| Noise reduction of consecutive images using a new adaptive weighted averaging filter M Saeidi, SA Motamedi, A Behrad, B Saeidi, R Saeidi, R Saeidi IEEE Workshop on Signal Processing Systems Design and Implementation, 2005 …, 2005 | 3 | 2005 |
| A New Fuzzy Algorithm in Image Sequences Filtering M Saeidi, B Saeidi, Z Saeidi, K Saeidi Circuits, Signals, and Systems 2006, 531-105, 2006 | 2 | 2006 |
| Image Sequences Filtering using Adaptive Weighted Averaging Filter without Estimating Noise Variance M Saeidi, SA Motamedi, A Behrad, B Saeidi, R Saeidi, R Saeidi IASTED Int. Conf. Visualization, Imaging, and Image Processing, 2005 | 2 | 2005 |
| Image sequences filtering using the adaptive number of frames M Saeidi Proceedings of the Ninth IASTED International Conference on Signal and Image …, 2007 | 1 | 2007 |
Ali AhmadiAdjunt Faculty in York University ; Associate Professor in K. N.Toosi University of Technology在 ieee.org 的电子邮件经过验证
Ali AhmadiAdjunt Faculty in York University ; Associate Professor in K. N.Toosi University of Technology在 ieee.org 的电子邮件经过验证
Seyed Mehdi MohtavipourIUST在 elec.iust.ac.ir 的电子邮件经过验证