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Alireza Sepas-Moghaddam
Alireza Sepas-Moghaddam
Sr. Applied Scientist @ Ericsson LynkAI
在 ericsson.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Deep gait recognition: A survey
A Sepas-Moghaddam, A Etemad
IEEE transactions on pattern analysis and machine intelligence 45 (1), 264-284, 2023
1822023
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network
G Zhang, V Davoodnia, A Sepas-Moghaddam, Y Zhang, A Etemad
IEEE Sensors Journal 20 (6), 3113 - 3122, 2020
1692020
A Novel Multi-swarm Algorithm for Optimization in Dynamic Environments Based on Particle Swarm Optimization
D Yazdani, B Nasiri, A Sepas-Moghaddam, MR Meybodi
Applied Soft Computing 13 (4), 2144–2158, 2013
1372013
View-invariant gait recognition with attentive recurrent learning of partial representations
A Sepas-Moghaddam, A Etemad
IEEE Transactions on Biometrics, Behavior, and Identity Science 3 (1), 124-137, 2020
602020
Facial emotion recognition using light field images with deep attention-based bidirectional LSTM
A Sepas-Moghaddam, A Etemad, F Pereira, PL Correia
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
582020
Optimization in Dynamic Environments Utilizing a Novel Method Based on Particle Swarm Optimization
D Yazdani, B Nasiri, R Azizi, A Sepas-Moghaddam, MR Meybodi
International Journal of Artificial Intelligence 11 (13), 170-192, 2013
552013
Face recognition: A novel multi-level taxonomy based survey
A Sepas-Moghaddam, FM Pereira, PL Correia
IET Biometrics 9 (2), 58-67, 2020
532020
Light Field based Face Presentation Attack Detection: Reviewing, Benchmarking and One Step Further
A Sepas-Moghaddam, F Pereira, PL Correia
IEEE Transactions on Information Forensics and Security 13 (7), 1696-1709, 2018
532018
mNAFSA: A novel approach for optimization in dynamic environments with global changes
D Yazdani, B Nasiri, A Sepas-Moghaddam, M Meybodi, ...
Swarm and Evolutionary Computation 18, 38-53, 2014
532014
A double-deep spatio-angular learning framework for light field-based face recognition
A Sepas-Moghaddam, MA Haque, PL Correia, K Nasrollahi, TB Moeslund, ...
IEEE Transactions on Circuits and Systems for Video Technology 30 (12), 4496 …, 2019
452019
CapsField: Light Field-based Face and Expression Recognition in the Wild using Capsule Routing
A Sepas-Moghaddam, A Etemad, F Pereira, PL Correia
IEEE Transactions on Image Processing, 2021
432021
The IST-EURECOM Light Field Face Database
A Sepas-Moghaddam, V Chiesa, PL Correia, F Pereira, JL Dugelay
International Workshop on Biometrics and Forensics, 2017
422017
Light field local binary patterns description for face recognition
A Sepas-Moghaddam, PL Correia, F Pereira
2017 IEEE International Conference on Image Processing (ICIP), 3815-3819, 2017
372017
Gait recognition using multi-scale partial representation transformation with capsules
A Sepas-Moghaddam, S Ghorbani, NF Troje, A Etemad
2020 25th international conference on pattern recognition (ICPR'21), 8045-8052, 2021
352021
Face spoofing detection using a light field imaging framework
A Sepas-Moghaddam, L Malhadas, PL Correia, F Pereira
IET Biometrics 7 (1), 39-48, 2018
322018
Ear recognition in a light field imaging framework: a new perspective
A Sepas-Moghaddam, P Pereira, Fernando, Lobato Correia
IET Biometrics 7 (3), 224–231, 2018
292018
Light field denoising: exploiting the redundancy of an epipolar sequence representation
A Sepas-Moghaddam, PL Correia, F Pereira
2016 3DTV-Conference: The True Vision-Capture, Transmission and Display of …, 2016
272016
A New Algorithm based on Improved Artificial Fish Swarm Algorithm for Data Clustering
D Yazdani, B Saman, A Sepas-Moghadam, F Mohammad-Kazemi, ...
International Journal of Artificial Intelligence 11 (13), 193-221, 2013
272013
Two-level attention-based fusion learning for rgb-d face recognition
H Uppal, A Sepas-Moghaddam, M Greenspan, A Etemad
2020 25th International Conference on Pattern Recognition (ICPR'21), 10120-10127, 2021
262021
Depth as Attention for Face Representation Learning
H Uppal, A Sepas-Moghaddam, M Greenspan, A Etemad
IEEE Transactions on Information Forensics and Security, 2021
262021
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