3 papers
cs.CV2026
What's Old is New Again: Classical Dimensionality Reduction for Efficient Saliency-Guided Biometric Attack Detection
Samuel Webster, Walter Scheirer
Saliency-guided training is a paradigm in visual recognition that encourages models to focus on the most relevant image regions during learning. While its application in biometric…
cs.CL2026
Emotion is Not Just a Label: Latent Emotional Factors in LLM Processing
Benjamin Reichman, Adar Avsian, Samuel Webster +1
Large language models are routinely deployed on text that varies widely in emotional tone, yet their reasoning behavior is typically evaluated without accounting for emotion as a s…
cs.CV2025
Saliency-Guided Training for Fingerprint Presentation Attack Detection
Samuel Webster, Adam Czajka
Saliency-guided training, which directs model learning to important regions of images, has demonstrated generalization improvements across various biometric presentation attack det…