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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, issue 7, pp. 1073-1083, July 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, Oct. 2014.

J4. Arashloo, S.R. and Kittler, J., “Dynamic Texture Recognition Using Binarised Statistical Image Features”, IEEE Transactions on Multimedia, 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”, IEEE Transactions on Information Forensics and Security, 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”, IEEE Transactions on Information Forensics and Security, vol. 10, no. 11, pp. 2396-2407, Nov. 2015.

J7. 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, pp. 1-14, May 2015.

J8. 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, no.8, pp. 716-723, Aug. 2015.

J9. Arashloo, S.R., “Incorporating Point Distribution Model Priors into MRFs Using Convex Quadratic Programming”, Machine Vision and Applications, Springer, vol. 27, no. 6, pp. 821-832, Aug. 2016.

J10. Arashloo, S.R., “A Comparison of Deep Multilayer Networks and MRF Matching Models for Face Recognition in the Wild”, Computer Vision, IET, vol. 10, no. 6, pp. 466-474, Sep. 2016.

J11. 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, Issue 12, pp. 1633-1644, Dec. 2016.

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., Kittler, J. and W. Christmas, “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, issue 3, pp. 575-582, Apr. 2019.

J15. Arashloo, S.R. and J. Kittler, “Robust One-Class Kernel Spectral Regression,” IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 3, pp. 999-1013, March 2021.

J16. Safari, M.J.S., Arashloo, S.R., Danandeh Mehr, A., “Rainfall-runoff modeling through Regression in the Reproducing Kernel Hilbert Space algorithm”, Journal of Hydrology, Elsevier,vol. 587, 125014, 2020.

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

J18. Safari, M.J.S., Arashloo, S.R., “Kernel Ridge Regression Model for Sediment Transport in Open Channel Flow”, Neural Computing and Applications, Springer, vol. 33, pp. 11255-11271, 2021.

J19. Safari, M.J.S., 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 Multiple Kernel Fisher Null-Space”, IEEE Transactions on Circuits and Systems for Video Technology, 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”, IEEE Transactions on Information Forensics and Security, vol. 16, pp. 4635-4647, 2021.

Conference Papers

C1. 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.

C2. 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.

C3. 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. .

C4. 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.

C5. 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.

C6. 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.

C7. 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.

C8. 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.

C9. 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.

C10. 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.

C11. 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.

C12. 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.


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)