Face and Body Perception: Models

Poster Session: Wednesday, May 22, 2024, 8:30 am – 12:30 pm, Pavilion

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Poster Title 

First Author

1.

Bayesian adaptive estimation of high-dimensional psychometric functions: A particle filtering approach

Reining, Lars

2.

Efficient Inverse Graphics with Differentiable Generative Models Explains Trial-level Face Discriminations and Robustness of Face Perception to Unusual Viewing Angles

Yilmaz, Hakan

3.

Evidence for efficient inverse graphics in the human brain using large-scale ECoG data

Calbick, Daniel

4.

FaReT 2.1: Anatomically precise manipulation of race in 3D face models and a pipeline to import real face scans

Martin, Emily

5.

From Perception to Algorithm: Quantifying Facial Distinctiveness with a Deep Convolutional Neural Network

Boutet, Isabelle

6.

Modeling face-Identity “likeness” with a convolutional neural network trained for face identification

Parde, Connor J.

7.

Norm-referenced Encoding Supports Transfer Learning of Expressions across Strongly Different Head Shapes

Giese, Martin A.

8.

Reading minds in the eyes with GPT4-vision

Murray, Scott

9.

Training deep learning algorithms for face recognition with large datasets improves performance but reduces similarity to human representations

Guy, Nitzan

10.

View-symmetric representations of faces in human and artificial neural networks

Andrews, Tim

11.

Visualizing the Other-Race Effect with GAN-based Image Reconstruction

Shoura, Moaz