Object Recognition: Features, parts

Poster Session: Monday, May 18, 2026, 8:30 am – 12:30 pm, Banyan Breezeway

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Abstract#

Poster Title 

First Author

43.314

Probing the language of perception: Object files distinguish pop-out from ancillary features

Caulfield, Avery

43.313

Low Spatial Frequency and the Human Channel Biases Emerge in Neurally Aligned Models but Do Not Explain Visual Robustness

Shao, Zhenan

43.312

Efficient encoding of dynamic visual scenes based on elementary 3D features

Castellotti, Serena

43.311

Color is Not Important for Object Recognition, Even with Low Vision

Altinordu, Nil

43.315

Behavioral and neural signatures of representational relevance for object concepts

zhuang, Tonghe

43.316

AutoPsych: Automated Psychophysics for Interpretability and Diversity Benchmarking

Issa, Habon