331 citations · 761 across the 49 of their papers we have counts for
4 papers · 1 filter
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?
Zachariah Carmichael, Walter J. Scheirer
Surging interest in deep learning from high-stakes domains has precipitated concern over the inscrutable nature of black box neural networks. Explainable AI (XAI) research has led…
Pixel-Grounded Prototypical Part Networks
Zachariah Carmichael, Suhas Lohit, Anoop Cherian +2
Prototypical part neural networks (ProtoPartNNs), namely PROTOPNET and its derivatives, are an intrinsically interpretable approach to machine learning. Their prototype learning sc…
On the Effectiveness of Image Manipulation Detection in the Age of Social Media
Rosaura G. VidalMata, Priscila Saboia, Daniel Moreira +3
Image manipulation detection algorithms designed to identify local anomalies often rely on the manipulated regions being ``sufficiently'' different from the rest of the non-tampere…
Has the Virtualization of the Face Changed Facial Perception? A Study of the Impact of Photo Editing and Augmented Reality on Facial Perception
Louisa Conwill, Sam English Anthony, Walter J. Scheirer
Augmented reality and other photo editing filters are popular methods used to modify faces online. Considering the important role of facial perception in communication, how do we p…