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cs.CV2026
Deep Convolutional Large-Margin -SVDD for Visual Anomaly Detection
Alireza Dastmalchi Saei, Shervin Rahimzadeh Arashloo
Visual anomaly detection requires adaptive representations and reliable decision boundaries, particularly when anomalous training samples are scarce and class distributions are hig…
cs.CV2019
Unseen Face Presentation Attack Detection Using Class-Specific Sparse One-Class Multiple Kernel Fusion Regression
Shervin Rahimzadeh Arashloo
The paper addresses face presentation attack detection in the challenging conditions of an unseen attack scenario where the system is exposed to novel presentation attacks that wer…
cs.CV2018
Client-Specific Anomaly Detection for Face Presentation Attack Detection
Shervin Rahimzadeh Arashloo, Josef Kittler
The one-class anomaly detection approach has previously been found to be effective in face presentation attack detection, especially in an \textit{unseen} attack scenario, where th…