Our Research

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The human face is a captivating and compelling visual stimulus that provides us an entry point into our interactions with others. From the face, we can perceive a unique identity, a gender, an ethnicity/race and an approximate age. We can remember hundreds, if not thousands, of individual faces. As the face changes, it provides us with moment-to-moment emotional and social signals in the form of facial expressions and gestures. These signals guide us through social interactions and help us to form memories.

In our research, we study human perception and memory for faces , bodies, and people, using methods from experimental psychological,  computational vision, and cognitive neuroscience. The projects in our lab can be divided into categories. The first includes studies of human perception and memory for faces, bodies, and people. The second involves the study of visual representations formed by state-of-the-art face recognition algorithms, based on deep convolutional neural networks. In the third category, we are conducting studies comparing face recognition experts, untrained people, and algorithms on face identification tasks.

See all of our individual research projects.

(Left to right) Ginni Strehle, Archana Pandarangan, Connor Parde, Alice O’Toole, Gerie Jeckeln, Blake Myers, Matt Hill, Veda Gandi, Thomas Metz

News

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Nov. 2024

Congratulations to Ginni Strehle! Her paper “Deep convolutional neural networks are sensitive to face configuration.” just appeared in the Journal of Vision. doi.org/10.1167/jov.24.12.6

Congratulations to the UTD-NIST Team (Amy Yates, Jackie Cavazos, Gerie Jeckeln, Ying Hu, Eilidh Noyes, Carina Hahn, and P. Jonathon Phillips. Our paper “Perceptual expertise of forensic examiners and reviewers on tests of cross-race and disguised face identification and face memory” will be appearing soon in Applied Cognitive Psychology.

Can’t resist congratulating the body perception group for ChatGPT 4o’s recent response to the following query

Congratulations to Gerie Jeckeln and our NIST collaborators. Her paper “Designing cross-race tests for forensic facial examiners, super-recognizers, and face recognition algorithms.” was just published (2024) in the Proceedings of the IEEE International Conference on Face and Gesture Recognition.

Congratulations to the Body Recognition Team (Blake Myers, Lucas Jaggernauth, Thomas Metz, Matt Hill, Veda Gandi, Carlos Castillo, and Alice O’Toole for their paper “Recognizing People by Body Shape Using Deep Networks of Images and Words.” was published in the 2023 Proceedings of the IEEE International Joint Conference on Biometrics. (also available arXiv:2305.19160)