Face Perception: Insights from artificial neural networks

Poster Session: Sunday, May 21, 2023, 2:45 – 6:45 pm, Pavilion

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Abstract# 

Poster Title

First Author

36.451

In Silico Approach for Understanding the Associations Between Vision and Emotions Underlying the Uncanny Valley Effect

Igaue, Takuya

36.452

An Enhanced Dataset for Inferential Emotion Tracking in Humans and Machines

Shedd, Ethan

36.454

Deep convolutional neural networks are sensitive to configural properties of faces

Strehle, Virginia

36.455

Recognizing people by body shape using deep networks of images and words

Myers, Blake

36.456

Comparison of human observers and a deep learning model in recognition of static robot facial expressions

Yang, Dongsheng

36.457

Comparing Humans and Deep Neural Networks on face recognition under various distance and rotation viewing conditions

Fux, Michal

36.458

Artifact magnification on deepfake videos increases human detection and subjective confidence

Josephs, Emilie

36.459

Videos, Deepfakes, and Dynamic Morphs: Neural and Perceptual Differences for Real and Artificial Faces.

Becker, Casey