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Mahmoud Saeidi
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2020 – today
- 2022
- [j5]Seyed Mehdi Mohtavipour
, Mahmoud Saeidi, Abouzar Arabsorkhi:
A multi-stream CNN for deep violence detection in video sequences using handcrafted features. Vis. Comput. 38(6): 2057-2072 (2022) - [j4]Mahmoud Saeidi, Abouzar Arabsorkhi:
A novel backbone architecture for pedestrian detection based on the human visual system. Vis. Comput. 38(6): 2223-2237 (2022) - [c7]Mahmoud Saeidi, Ahmad Ali Nazeri, Marwan Al Dayea, Peter Zacharias:
Behavior Consideration of 1200 V SiC Half-Bridge Power Module under Various Dead-Time during Hard-Switching. IECON 2022: 1-5 - 2021
- [j3]Mahmoud Saeidi
High-performance and deep pedestrian detection based on estimation of different parts. J. Supercomput. 77(2): 2033-2068 (2021) - 2020
- [j2]Mahmoud Saeidi
A novel approach for deep pedestrian detection based on changes in camera viewing angle. Signal Image Video Process. 14(6): 1273-1281 (2020)
2010 – 2019
- 2018
- [c6]Mahmoud Saeidi, Ali Ahmadi
Deep Learning based on CNN for Pedestrian Detection: An Overview and Analysis. IST 2018: 108-112 - [c5]Mahmoud Saeidi, Ali Ahmadi
Pedestrian Detection Using an Extended Fast RCNN based on a Secure Margin in RoI Feature Maps. IST 2018: 155-159 - 2017
- [c4]Mahmoud Saeidi, Ali Ahmadi
CBIR on Big Data by Use of Deep Learning. TopHPC 2017: 71-89 - 2011
- [j1]Ali Ahmadi
An associative memory-based learning model with an efficient hardware implementation in FPGA. Expert Syst. Appl. 38(4): 3499-3513 (2011)
2000 – 2009
- 2007
- [c3]Mahmoud Saeidi:
Image sequences filtering using the adaptive number of frames. SIP 2007: 47-52 - 2006
- [c2]Mahmoud Saeidi, Mohammad Hassan Moradi
Filtering Image Sequences Corrupted by Mixed Noise using a New Fuzzy Algorithm. ICIP 2006: 1797-1800 - 2005
- [c1]Mahmoud Saeidi, Seyed Ahmad Motamedi, Alireza Behrad, Behzad Saeidi, Roghayeh Saeidi, Reza Saeidi:
Noise reduction of consecutive images using a new adaptive weighted averaging filter. SIP 2005: 214-219
Coauthor Index
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