Journal Articles

J1. Arashloo, S.R. and Kittler, J., “Energy Normalization for Pose-Invariant Face Recognition Based on MRF Model Image Matching”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 6, pp. 1274-1280, June 2011.

J2. Arashloo, S.R., Kittler, J. and Christmas, W.J., “Pose-Invariant Face Recognition by Matching on Multiresolution MRFs Linked by Super-coupling Transform”, Computer Vision and Image Understanding, Elsevier, special issue on graph-based representations in computer vision, vol. 115, iss. 7, pp. 1073-1083, 2011.

J3. Arashloo, S.R. and Kittler, J., “Fast Pose Invariant Face Recognition Using Supercoupled Multi-resolution Markov Random Fields on a GPU”, Pattern Recognition Letters, Elsevier, special issue on celebrating the life and work of Maria Petrou, vol. 48, pp. 49-59, 2014.

J4. Arashloo, S.R. and Kittler, J., “Dynamic Texture Recognition Using Binarised Statistical Image Features”, Multimedia, IEEE Transactions on, vol. 16, no.8, pp. 2099-2109, Dec. 2014.

J5. Arashloo, S.R. and Kittler, J., “Class-Specific Kernel Fusion of Multiple Descriptors for Face Verification Using Multiscale Binarised Statistical Image Features”, Information Forensics and Security, IEEE Transactions on, special issue on facial biometrics in the wild, vol. 9, no.12, pp. 2100-2109, Dec. 2014.

J6. Arashloo, S.R., Kittler, J. and Christmas, W., “Face Spoofing Detection Based on Multiple Descriptor Fusion Using Dynamic Multiscale Binarized Statistical Image Features”, Information Forensics and Security, IEEE Transactions on, vol. 10, no. 11, pp. 2396-2407, Nov. 2015.

J7. Hamidi H., Chehel Amirani M. and Arashloo, S.R., “Local Selected Features of Dual-Tree Complex Wavelet Transform for Single Sample Face Recognition”, Image Processing, IET, vol. 9, iss. 8, pp. 716-723, 2015.

J8. Arashloo, S.R., “Incorporating Higher-Order Point Distribution Model Priors into MRFs Using Convex Quadratic Programming”, Machine Vision and Applications, Springer, vol. 27, no. 6, pp. 821-832, Aug. 2016.

J9. Arashloo, S.R., “A Comparison of Deep Multilayer Networks and MRF Matching Models for Face Recognition in the Wild”, Computer Vision, IET, vol. 10, iss. 6, pp. 466-474, Sep. 2016.

J10. Amirolad, A., Arashloo, S.R. and Amirani, M.Ch., “Multi-layer Local Energy Patterns for Texture Representation and Classification”, The Visual Computer, Springer, vol. 32, no. 12, pp. 1633-1644, Dec. 2016.

J11. Arashloo, S.R., “Multiscale Binarised Statistical Image Features for Symmetric Face Matching Using Multiple Descriptor Fusion Based on Class-Specific LDA”, Pattern Analysis and Applications, Springer, vol. 20, no. 1, pp. 113-126, Feb. 2017.

J12. Arashloo, S.R., Amirani, M.Ch. and Noroozi, A., “Dynamic Texture Representation Using a Deep Multi-Scale Convolutional Network”, Visual Communication and Image Representation, Elsevier, vol. 43, pp. 89-97, Feb. 2017.

J13. Arashloo, S.R. and Kittler, J., “An Anomaly Detection Approach to Face Spoofing Detection: A New Formulation and Evaluation Protocol”, IEEE Access, vol. 5, pp. 13868-13882, 2017.

J14. Arashloo, S.R., “Sparse Binarised Statistical Dynamic Features for Spatio-temporal Texture Analysis”, Signal, Image, and Video Processing, Springer, vol. 13, iss. 3, pp. 575-582, Apr. 2019.

J15. Safari, M.J.S., Arashloo, S.R., Danandeh Mehr, A., “Rainfall-Runoff Modelling Through Regression in the Reproducing Kernel Hilbert Space Algorithm”, Journal of Hydrology, Elsevier, vol. 587, 125014, Aug. 2020.

J16. Arashloo, S.R. and Kittler, J., “Robust One-Class Kernel Spectral Regression”, Neural Networks and Learning Systems, IEEE Transactions on, vol. 32, no. 3, pp. 999-1013, Mar. 2021.

J17. Fatemifar, S., Arashloo, S.R., Awais, M., Kittler, J., “Client-Specific Anomaly Detection for Face Presentation Attack Detection”, Pattern Recognition, Elsevier, vol. 112, 107696, 2021.

J18. Safari, M.J.S. and Arashloo, S.R., “Kernel Ridge Regression Model for Sediment Transport in Open Channel Flow”, Neural Computing and Applications, Springer, vol. 33, no. 17, pp. 11255–11271, Sep. 2021.

J19. Safari, M.J.S. and Arashloo, S.R., “Sparse Kernel Regression Technique for Self-Cleansing Channel Design”, Advanced Engineering Informatics, Elsevier, vol. 47, 101230, 2021.

J20. Arashloo, S.R., “Unseen Face Presentation Attack Detection Using Sparse One-Class Multiple Kernel Fusion Regression”, Circuits and Systems for Video Technology, IEEE Transactions on, vol. 31, no. 10, pp. 4084-4095, Oct. 2021.

J21. Arashloo, S.R., “Matrix-Regularised One-Class Multiple Kernel Learning for Unseen Face Presentation Attack Detection”, Information Forensics and Security, IEEE Transactions on, vol. 16, pp. 4635-4647, 2021.

J22. Arashloo, S.R. and Kittler, J., “Multi-Target Regression via Non-linear Output Structure Learning”, Neurocomputing, Elsevier, vol. 492, pp. 572-580, 2022.

J23. Safari, M.J.S., Arashloo, S.R. and Vaheddoost, B., “Fast Multi-Output Relevance Vector Regression for Joint Groundwater and Lake Water Depth Modelling”, Environmental Modelling and Software, Elsevier, vol. 154, 105425, 2022.

J24. Arashloo, S.R., “ℓp-Norm Support Vector Data Description”, Pattern Recognition, Elsevier, vol. 132, 108930, 2022.

J25. Safari, M.J.S., Arashloo, S.R. and Vaheddoost, B., “Multiple Kernel Fusion: A Novel Approach for Lake Water Depth Modeling”, Environmental Research, Elsevier, vol. 217, 114856, 2023.

J26. Arashloo, S.R., “Unknown Face Presentation Attack Detection via Localised Learning of Multiple Kernels”, Information Forensics and Security, IEEE Transactions on, vol. 18, pp. 1421-1432, 2023.

J27. Safari, M.J.S., Arashloo, S.R. and Vaheddoost, B., “Vertical and Horizontal Water Penetration Velocity Modeling in Non-Homogenous Soil Using Fast Multi-Output Relevance Vector Regression”, Big Data, Liebert, 2023.

J28. Arashloo, S.R., “One-Class Classification Using ℓp-Norm Multiple Kernel Fisher Null Approach”, Image Processing, IEEE Transactions on, vol. 32, pp. 1843- 1856, 2023.

J29. Safari, M.J.S. and Arashloo, S.R., “Robust low-rank learning multi-output regression for sediment incipient motion in sewer pipes”, International Journal of Sediment Research, Elsevier, 2023.

J30. Arashloo, S.R., “Large-Margin Multiple Kernel ℓp-SVDD Using Frank-Wolfe Algorithm for Novelty Detection”, Pattern Recognition, Elsevier, vol. 148, 110189, 2024.

J31. Safari, M.J.S., Arashloo, S.R. and M.K. Gargari, “ℓq-Norm Multiple Kernel Fusion Regression for Self-Cleansing Sediment Transport”, Artificial Intelligence Review, Springer, 2024.

J32. S. Mohammad and Arashloo, S.R., “Robust One-Class Classification Using Deep Kernel Spectral Regression”, Neurocomputing, Elsevier, vol. 573, 127246, 2024.

J33. S. Nourmohammadi, Arashloo, S.R., and Kittler, J., “ℓp-Norm Constrained One-Class Classifier Combination”, Information Fusion, Elsevier, vol. 114, 102700, 2025.

Conference Papers

C1. Arashloo, S.R., Marvi, H. and Ahmadyfard, A., “Temporal and Frequency Domain Features for Personal Identification Based on Gait Recognition”, First Joint Congress on Intelligent and Fuzzy Systems, Iranian Fuzzy Systems Society (IFSS) and Intelligent Systems Scientific Society of Iran (ISSSI), 2007, Mashhad, Iran.

C2. Arashloo, S.R. and Ahmadyfard, A., “Fine Estimation of Blur Parameters for Image Restoration”, Digital Signal Processing, 2007 15th IEEE International Conference on, pp. 427-430, 1-4 July 2007, Cardiff, Wales, UK.

C3. Arashloo, S.R. and Kittler, J., “Hierarchical Image Matching for Pose-Invariant Face Recognition”, British Machine Vision Conference, BMVA, pp.1-11, 2009, London, UK.

C4. Arashloo, S.R. and Kittler, J. “Pose-Invariant Face Matching Using MRF Energy Minimization Framework”, Energy Minimization Methods in Computer Vision and Pattern Recognition, Lecture Notes in Computer Science, Springer, vol. 5681, pp. 56-69, 2009, Bonn, Germany.

C5. Arashloo, S.R. and Kittler, J. “Facial Feature Localization Using Graph Matching with Higher Order Statistical Shape Priors and Global Optimization”, Biometrics: Theory Applications and Systems (BTAS), 2010 Fourth IEEE International Conference on, pp.1-8, 27-29 Sept. 2010, Washington DC, USA.

C6. Arashloo, S.R. and Kittler, J. “Efficient Processing of MRFs for Unconstrained-Pose Face Recognition”, Biometrics: Theory, Applications and Systems (BTAS), 2013 IEEE Sixth International Conference on, vol., no., pp.1-8, Sept. 29 2013-Oct. 2, 2013, Washington DC, USA.

C7. Arashloo, S.R., “Multiscale Binarised Statistical Image Features for Symmetric Unconstrained Face Matching”, Electrical Engineering (ICEE), 2014 22nd Iranian Conference on, vol., no., pp.1377-1382, 20-22 May 2014, Tehran, Iran.

C8. Seyfollahzadeh, H., Arashloo, S.R. and Chehel Amirani, M., “Transfer Learning of Deep Nets for Histopathological Image Classification”, International Conference on New Perspectives in Electrical and Computer Engineering, Sep. 2016, Tehran, Iran.

C9. Arashloo, S.R. and Kittler, J. “An Anomaly Detection Approach to Face Spoofing Detection”, International Joint Conference on Biometrics (IJCB), Denver, CO, USA, 2017, pp. 80-89.

C10. Fatemifar, S., Awais, M., Arashloo, S.R. and Kittler, J. “Combining Multiple One-Class Classifiers for Anomaly-Based Face Spoofing Detection”, International Conference on Biometrics (ICB), Crete, Greece, 2019, pp. .

C11. Fatemifar, S., Arashloo, S.R., Awais, M. and Kittler, J., “Spoofing Attack Detection by Anomaly Detection,” ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, 2019, pp. 8464-8468.

C12. Vaheddoost, B., Arashloo, S.R. and Safari, M.J.S., “Simultaneous Determination of the Horizontal and the Vertical Hydraulic Conductivity in a Small and Non-Homogenous Soil Sample”, ACE 2020-21 14th, 6-8 September 2021, Yildiz Technical University, Istanbul, Turkey.

C13. Arashloo, S.R., “Vector-norm Regularised Multiple Kernel Fisher Null Learning for Novelty Detection”, ICADA 2024, March 14-15, 2024, İzmir, Turkey.

C14. Arashloo, S.R., “Using Localised Information in Learning Multiple Kernels for Zero-Shot Detection of Face Presentation Attacks”, ICADA 2024, March 14-15, 2024, İzmir, Turkey.

Book

B1. Arashloo, S.R., “Unconstrained-Pose 2D Face Recognition”, ISBN: 978-3-659-75936-9, LAP publishing, 2015.

Ph.D. Thesis

Pose-Invariant 2D Face Recognition by Matching Using Graphical Models (The Sullivan Best Doctoral Thesis Award Candidate of the British Machine Vision Association and Society for Pattern Recognition)