Object Recognition: Models

Poster Session: Tuesday, May 20, 2025, 8:30 am – 12:30 pm, Banyan Breezeway

Abstract#

Poster Title 

First Author

53.336

A unified computational framework for visual dysfunctions in psychosis

Toosi, Tahereh

53.325

Assaying the effect of recent sensory history on object categorization via human psychophysics and computational modeling

Sörensen, Lynn K. A.

53.326

Capturing the representational dynamics of face perception in deep recurrent neural networks

Adeli, Hossein

53.327

Do deep neural networks perceive contextual visual illusions?

Jang, Hojin

53.328

Feature accentuation along the encoding axes of IT neurons uncovers hidden differences in model-brain alignment

Prince, Jacob S.

53.329

Foveated sensing with KNN-convolutional neural networks

Blauch, Nicholas M.

53.330

Population Receptive Field Modeling: Methods, Challenges, and Insights

Lerma-Usabiaga, Garikoitz

53.331

Quantifying the similarity of neural representations using decision variable correlation

Qian, Yu

53.332

Representational Geometry Dynamics in Networks After Long-Range Modulatory Feedback

Luo, Kexin Cindy

53.333

Small-scale adversarial perturbations expose key differences between ANN-based vision encoding models

McNeal, Nikolas

53.334

Towards Holistic Vision in Deep Neural Networks: Disentangling Local and Global Processing

Doshi, Fenil R.

53.335

Tracing the origins of privileged axes in artificial neural networks

Srivastava, Sudhanshu