1 citations · 1 across the 8 of their papers we have counts for
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Generalist Multimodal LLMs Gain Biometric Expertise via Human Salience
Jacob Piland, Byron Dowling, Christopher Sweet +1
Iris presentation attack detection (PAD) is critical for secure biometric deployments, yet developing specialized models faces significant practical barriers: collecting data repre…
VISER: Visually-Informed System for Enhanced Robustness in Iris Presentation Attack Detection
Byron Dowling, Jacob Piland, Eleanor Frederick +2
Human perceptual priors have shown promise in saliency-guided deep learning training, particularly in the domain of iris presentation attack detection (PAD). Common saliency approa…
Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks
Jacob Piland, Chris Sweet, Adam Czajka
Existing saliency-guided training approaches improve model generalization by incorporating a loss term that compares the model's class activation map (CAM) for a sample's true-clas…
Explain To Me: Salience-Based Explainability for Synthetic Face Detection Models
Colton Crum, Patrick Tinsley, Aidan Boyd +5
The performance of convolutional neural networks has continued to improve over the last decade. At the same time, as model complexity grows, it becomes increasingly more difficult…
Improving Model's Focus Improves Performance of Deep Learning-Based Synthetic Face Detectors
Jacob Piland, Adam Czajka, Christopher Sweet
Deep learning-based models generalize better to unknown data samples after being guided "where to look" by incorporating human perception into training strategies. We made an obser…