5 papers
On pluricanonical locally conformally almost Kähler metrics
Ethan Addison, Tedi Draghici, Mehdi Lejmi
On an almost complex manifold , a pluricanonical locally conformally almost Kähler (LCAK) metric is induced by a locally conformally symplectic structure of the…
Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition
Redwan Sony, Parisa Farmanifard, Arun Ross +1
In this paper, we address the following question: How do generic foundation models (e.g., CLIP, BLIP, GPT-4o, Grok-4) compare against a domain-specific face recognition model (viz.…
Benchmarking Foundation Models for Zero-Shot Biometric Tasks
Redwan Sony, Parisa Farmanifard, Hamzeh Alzwairy +2
The advent of foundation models, particularly Vision-Language Models (VLMs) and Multi-modal Large Language Models (MLLMs), has redefined the frontiers of artificial intelligence, e…
A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection
Debasmita Pal, Redwan Sony, Arun Ross
Iris-based biometric systems are vulnerable to presentation attacks (PAs), where adversaries present physical artifacts (e.g., printed iris images, textured contact lenses) to defe…
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detection
Renu Sharma, Redwan Sony, Arun Ross
Deep neural networks (DNNs) exhibit superior performance in various machine learning tasks, e.g., image classification, speech recognition, biometric recognition, object detection,…