5 citations · 5 across the 7 of their papers we have counts for
9 papers
Detecting Clear Contact Lenses for Iris Recognition: A Two-Stage Mask-Guided Attention Approach
Parisa Farmanifard, Arun Ross
This work focuses on the impact and detection of clear contact lenses in the context of iris recognition. While the detection of cosmetic or patterned contact lenses has been exten…
Probing Speaker Identity Sensitivity in Audio Deepfake Detectors
Daniyal Kabir Dar, Arun Ross
Audio deepfake detectors are trained to distinguish genuine speech from synthetic speech and often perform well on standard benchmarks. Yet the same detector that achieves less tha…
Impact of Phonetics on Speaker Identity in Adversarial Voice Attack
Daniyal Kabir Dar, Qiben Yan, Li Xiao +1
Adversarial perturbations in speech pose a serious threat to automatic speech recognition (ASR) and speaker verification by introducing subtle waveform modifications that remain im…
Automated Assessment of Aesthetic Outcomes in Facial Plastic Surgery
Pegah Varghaei, Kiran Abraham-Aggarwal, Manoj T. Abraham +1
We introduce a scalable, interpretable computer-vision framework for quantifying aesthetic outcomes of facial plastic surgery using frontal photographs. Our pipeline leverages auto…
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…
To Impute or Not: Recommendations for Multibiometric Fusion
Melissa R Dale, Elliot Singer, Bengt J. Borgström +1
Combining match scores from different biometric systems via fusion is a well-established approach to improving recognition accuracy. However, missing scores can degrade performance…
ChatGPT Meets Iris Biometrics
Parisa Farmanifard, Arun Ross
This study utilizes the advanced capabilities of the GPT-4 multimodal Large Language Model (LLM) to explore its potential in iris recognition - a field less common and more special…
Iris-SAM: Iris Segmentation Using a Foundation Model
Parisa Farmanifard, Arun Ross
Iris segmentation is a critical component of an iris biometric system and it involves extracting the annular iris region from an ocular image. In this work, we develop a pixel-leve…