Now showing items 1-5 of 5

    • Client-specific anomaly detection for face presentation attack detection 

      Fatemifar, S.; Arashloo, Shervin Rahimzadeh; Awais, M.; Kittler, J. (Elsevier, 2020)
      One-class anomaly detection approaches are particularly appealing for use in face presentation attack detection (PAD), especially in an unseen attack scenario, where the system is exposed to novel types of attacks. This ...
    • Rainfall-runoff modeling through regression in the reproducing kernel Hilbert space algorithm 

      Safari, M. J. S.; Arashloo, Shervin Rahimzadeh; Mehr, A. D. (Elsevier, 2020)
      In this study, Regression in the Reproducing Kernel Hilbert Space (RRKHS) technique which is a non-linear regression approach formulated in the reproducing kernel Hilbert space (RRKHS) is applied for rainfall-runoff (R-R) ...
    • Sparse binarised statistical dynamic features for spatio-temporal texture analysis 

      Arashloo, Shervin Rahimzadeh (Springer, 2019)
      The paper presents a new spatio-temporal learning-based descriptor called binarised statistical dynamic features (BSDF) for representation and classification of dynamic texture. The BSDF descriptor operates by applying ...
    • Spoofing attack detection by anomaly detection 

      Fatemifar, S.; Arashloo, Shervin Rahimzadeh; Awais, M.; Kittler, J. (Institute of Electrical and Electronics Engineers Inc., 2019)
      Spoofing attacks on biometric systems can seriously compromise their practical utility. In this paper we focus on face spoofing detection. The majority of papers on spoofing attack detection formulate the problem as a two ...
    • Unseen face presentation attack detection using sparse multiple kernel fisher null-space 

      Arashloo, Shervin Rahimzadeh (IEEE, 2020)
      We address the face presentation attack detection problem in the challenging conditions of an unseen attack scenario where the system is exposed to novel presentation attacks that were not available in the training stage. ...