12 citations · 45 across the 18 of their papers we have counts for
4 papers · 1 filter
Coincidental Generation
Jordan W. Suchow, Necdet Gürkan
Generative A.I. models have emerged as versatile tools across diverse industries, with applications in privacy-preserving data sharing, computational art, personalization of produc…
Evaluation of Human and Machine Face Detection using a Novel Distinctive Human Appearance Dataset
Necdet Gurkan, Jordan W. Suchow
Face detection is a long-standing challenge in the field of computer vision, with the ultimate goal being to accurately localize human faces in an unconstrained environment. There…
Learning a face space for experiments on human identity
Jordan W. Suchow, Joshua C. Peterson, Thomas L. Griffiths
Generative models of human identity and appearance have broad applicability to behavioral science and technology, but the exquisite sensitivity of human face perception means that…
Capturing human category representations by sampling in deep feature spaces
Joshua C. Peterson, Jordan W. Suchow, Krisha Aghi +2
Understanding how people represent categories is a core problem in cognitive science. Decades of research have yielded a variety of formal theories of categories, but validating th…