Alireza Sepas-Moghaddam

Alireza Sepas-Moghaddam

Motivated and passionate machine learning scientist captivated by computer vision and speech processing

Publications

Individuals identified with * are my (co-)supervised Highly Qualified Personnels (HQPs)

Journal papers

  1. [J] M. Kolahdoozi*, A. Sepas-Moghaddam and A. Etemad “FaceTopoNet: Facial Expression Recognition using Face Topology Learning”, IEEE Transactions on Artificial Intelligence (T-AI).

  2. [J] L. Khaleghi*, A. Sepas-Moghaddam, J. Marshall, and A. Etemad “MuViHand: Multi-View Video-Based 3D Hand Pose Estimation”, IEEE Transactions on Artificial Intelligence (T-AI), Aug. 2022.

  3. [J] A. Sepas-Moghaddam and A. Etemad “Deep Gait Recognition: A Review”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Feb. 2022.

  4. [J] A. Sepas-Moghaddam, A. Etemad, F. Pereira, and P. Correia “CapsField: Light Field-based Face and Expression Recognition in the Wild using Capsule Routing”, IEEE Transactions on Image Processing (T-IP), Vol. 30, No. 1, Feb. 2021.

  5. [J] H. Uppal*, A. Sepas-Moghaddam, M. Greenspan, and A. Etemad “Depth as Attention for Face Representation Learning”, IEEE Transactions on Information Forensics and Security (T-IFS), Vol. 16, No. 2, Jan. 2021.

  6. [J] A. Sepas-Moghaddam and A. Etemad “View-Invariant Gait Recognition with Attentive Recurrent Learning of Partial Representations”, IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM), Vol. 3, No. 1, Jan. 2021.

  7. [J] A. Sepas-Moghaddam, P. Correia, K. Nasrollahi, T. Moeslund, and F. Pereira “A Double-Deep Spatio-Angular Learning Framework for Light Field based Face Recognition”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), Vol. 30, No. 12, Dec. 2020.

  8. [J] A. Sepas-Moghaddam, A. Etemad, F. Pereira, and P. Correia “Long Short-Term Memory with Gate and State Level Fusion for Light Field-Based Face Recognition”, IEEE Transactions on Information Forensics and Security (T-IFS), Vol. 16, No. 1, Nov. 2020.

  9. [J] G. Zhang*, V. Davoodnia, A. Sepas-Moghaddam, Y. Zhang, and A. Etemad, “Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network”, IEEE Sensors Journal, Vol. 20, No. 6, Mar. 2020.

  10. [J] A. Sepas-Moghaddam, F. Pereira, and P. Correia, “Face Recognition: A Novel Multi-Level Taxonomy Based Survey”, IET Biometrics, vol. 9, No. 2, Mar. 2020.

  11. [J] A. Sepas-Moghaddam, F. Pereira, and P. Correia, “Light Field-Based Face Presentation Attack Detection: Reviewing, Benchmarking and One Step Further”, IEEE Transactions on Information Forensics and Security (T-IFS), Vol. 13, No. 7, Jul. 2018.

  12. [J] A. Sepas-Moghaddam, F. Pereira, and P. Correia, “Ear Recognition in a Light Field Imaging Framework: A New Perspective”, IET Biometrics, Vol. 7, No. 3, Apr. 2018.

  13. [J] A. Sepas-Moghaddam, L. Malhadas, P. Correia, and F. Pereira, “Face Spoofing Detection using a Light Field Imaging Framework”, IET Biometrics, Vol. 7, No. 1, Sep. 2017.

  14. [J] D. Yazdani, A. Sepas-Moghaddam, A. Dehban and N. Horta, “A Novel Approach for Optimization in Dynamic Environments Based on Modified Artificial Fish Swarm Algorithm”, International Journal of Computational Intelligence and Applications, Vol. 15, No. 1, Jun. 2016.

  15. [J] M.S. Moin and A. Sepas-Moghaddam (Equal Contribution), “Face Recognition in JPEG Compressed Domain: A Novel Coefficient Selection Approach”, Signal, Image and Video Processing, Vol. 9, No. 3, Jun. 2015.

  16. [J] D. Yazdani, S. Sadeghi, D. Yazdani, A. Sepas-Moghaddam and M. Meybodi “Fish Swarm Search Algorithm: A New Algorithm for Global Optimization”, International Journal of Artificial Intelligence, Oct. 2015.

  17. [J] A. Sepas-Moghaddam and M.S. Moin, “Face Recognition in Color JPEG Compressed Domain” International Journal of Biometrics, Vol. 6, No. 3, Aug. 2014.

  18. [J] A. Sepas-Moghaddam, D. Yazdani, and J. Shahabi “A Novel Hybrid Image Segmentation Method”, Progress in Artificial Intelligence, Vol. 3, No. 1, Apr. 2014.

  19. [J] D. Yazdani, B. Naisri, A. Sepas-Moghaddam, M. Meybodi and M. Akbarzadeh, “mNAFSA: A Novel Approach for Optimization in Dynamic Environments with Global Changes”, Swarm and Evolutionary Computation, Vol 18, Oct. 2014.

  20. [J] D. Yazdani, B. Naisri, A. Sepas-Moghaddam, and M. Meybodi, “A Novel Multi- Swarm Algorithm for Optimization in Dynamic Environments Based on Particle Swarm Optimization”, Applied Soft Computing, Vol.13, No. 4, Apr. 2013.

  21. [J] D.Yazdani, B.Nasiri, R.Azizi, A. Sepas-Moghaddam, and M.Meybodi, “Optimization in Dynamic Environments Utilizing a Novel Method Based on Particle Swarm Optimization”, International Journal of Artificial Intelligence, Vol.11, No. A13, Oct. 2013.

  22. [J] D. Yazdani, B.Saman, A. Sepas-Moghaddam, F. Mohammad-Kazemi, M. Meybodi, “A New Algorithm Based on Improved Artificial Fish Swarm Algorithm for Data Clustering” International Journal of Artificial Intelligence, Vol.11, No. A13, Oct. 2013.

  23. [J] M.S. Moin and A. Sepas-Moghaddam (Equal Contribution), “JPEG Compressed Domain Face Recognition: Different Stages and Different Features”, International Journal of Information & Communication Technology, Vol.4, No.4, Dec. 2012.

Conference papers

  1. [C] M. Kolahdoozi*, A. Sepas-Moghaddam and A. Etemad “Learning Face Structure Trees for Expression Recognition Conference on Automatic Face and Gesture Recognition (FG), virtual, Dec. 2021.

  2. [C] H. Uppal*, A. Sepas-Moghaddam, M. Greenspan, and A. Etemad, “Teacher-Student Modality Hallucination for Enhanced Face Recognition”, IEEE Conference on Computer Vision (ICCV), virtual, Oct. 2021.

  3. [C] A. Sepas-Moghaddam, F. Pereira, and P. Correia, A. Etemad “Multi-Perspective LSTM for Joint Visual Representation Learning”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), virtual, Jun. 2021.

  4. [C] A. Sepas-Moghaddam, S. Ghorbani, N. Troje, and A. Etemad, “Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules”, International Conference of Pattern Recognition (ICPR), Milan, Italy, Jan. 2021.

  5. [C] H. Uppal*, A. Sepas-Moghaddam, M. Greenspan, and A. Etemad, “Attention-based Fusion Learning for RGB-D Face Recognition”, International Conference of Pattern Recognition (ICPR), Milan, Italy, Jan. 2021.

  6. [C] A. Sepas-Moghaddam, A. Etemad, P. Correia, and F. Pereira, “Light Field Based Facial Emotion Recognition Using a Bidirectional LSTM with Attention Mechanism”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020.

  7. [C] A. Sepas-Moghaddam, A. Etemad, P. Correia, and F. Pereira, “A Deep Framework for Facial Emotion Recognition Using Light Field Images”, International Conference on Affective Computing and Intelligent Interaction (ACII), Cambridge, United Kingdom, Sep. 2019.

  8. [C] A. Sepas-Moghaddam, P. Correia, K. Nasrollahi, T. Moeslund, and F. Pereira, “Light Field Based Face Recognition via a Fused Deep Representation”, IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Aalborg, Denmark, Sep. 2018.

  9. [C] A. Sepas-Moghaddam, F. Pereira, and P. Correia, “Ear Presentation Attack Detection: Benchmarking Study with First Lenslet Light Field Database”, European Signal Processing Conference (EUSIPCO), Rome, Italy, Sep. 2018.

  10. [C] A. Sepas-Moghaddam, P. Correia, and F. Pereira, “Light Field Local Binary Patterns Description for Face Recognition”, IEEE International Conference on Image Processing (ICIP), Beijing, China, Sep. 2017.

  11. [C] A. Sepas-Moghaddam, V. Chiesa, P. Correia, F. Pereira, and J. Dugelay “The ISTEURECOM Light Field Face Database”, International Workshop on Biometrics and Forensics (IWBF), Coventry, UK, Apr. 2017.

  12. [C] A. Sepas-Moghaddam, P. Correia, and F. Pereira, “Light Field Denoising: Exploiting the Redundancy of an Epipolar Sequence Representation”, 3DTV-Conference: The True Vision-Capture, Transmission and Display of 3D Video (3DTV), Hamburg, Germany, Jul. 2016.

  13. [C] A. Sepas-Moghaddam, A.Arabshahi, D.Yazdani, and M.Dehshibi, “A Novel Hybrid Algorithm for Optimization in Multimodal Dynamic Environments”, International Conference on Hybrid Intelligent Systems (HIS), Puna, India, Dec. 2012.

  14. [C] M. Ramin, A. Sepas-Moghaddam, P.Ahmadvand, and M. Dehshibi, “Counting the Number of Cells in Immunocytochemical Microscopic Images Using Genetic Algorithm”, International Conference on Hybrid Intelligent Systems (HIS), Puna, India, Dec. 2012.

  15. [C] D. Yazdani, A. Arabshahi, A. Sepas-Moghaddam, and M. Dehshibi, “A Multilevel Thresholding Method for Image Segmentation Using a Novel Hybrid Intelligent Approach”, International Conference on Hybrid Intelligent Systems (HIS), Puna, India, Dec. 2012.

  16. [C] P. Ahmadvand, M. Ramin, A. Sepas-Moghaddam, and P. Ahmadvand, “Expression of Antigens in Immunocytochemical Images Utilizing an Image Analysis Method”, IEEE Mediterranean Electrotechnical Conference (MELECON), Yasmine, Tunisia, Mar. 2012.

  17. [C] A. Sepas-Moghaddam, M.S. Moin and H.R. Rashidy-Kanan,“A New Preselection Method for Face Recognition in JPEG Domain Based on Face Segmentation”, IEEE International Conference on Signal and Image Processing Applications (ICSIPA), KL, Malaysia, Nov. 2011.

  18. [C] M.S. Moin, A. Sepas-Moghaddam and H.R. Rashidy-Kanan, “A Low Complexity JPEG Domain Face Recognition Approach Using Low Frequency Coefficients”, International Conference on Information, Communications and Signal Processing (ICICSP), Singapore, Singapore, Dec. 2011.

  19. [C] A. Sepas-Moghaddam and and H. Rashidi,“A Novel Method to Measure Comprehensive Complexity of Software Based on the Metrics Statistical Model,” European Symposium on Computer Modeling and Simulation (EMS), Pisa, Italy, Nov. 2010.

  20. [C] A. Sepas-Moghaddam, M.S. Moin and H.R. Kanan,“A Low Complexity and Efficient Face Recognition Approach in JPEG Compressed Domain Using Quantized Coefficients,” International Symposium on Telecommunications (IST), Tehran, Iran, Dec. 2010.

  21. [C] A. Sepas-Moghaddam and M.S. Moin, “An Efficient Method for JPEG Compressed Domain Face Recognition,” Machine Vision and Image Processing Conference (MVIP), Isfahan, Iran, Aug. 2010.