Object Recognition: Features and parts

Poster Session: Wednesday, May 24, 2023, 8:30 am – 12:30 pm, Banyan Breezeway

Abstract# 

Poster Title

First Author

63.314

Temporal-spatial configuration of musical notation: Distinguishing visual and conceptual influences on expert and novice performance

Verosky, Niels J.

63.315

Perception of retinal images: Can artificial intelligence help us discover new diagnostic features?

Yuan, Lei

63.316

Revisiting the animacy, size, and curvature organization of human visual cortex

Stoinski, Laura M.

63.317

Different tasks performed on same objects result in functionally distinct activation of LOTC and IPS

Biswas, Arnab

63.318

Functional contributions of the dorsal pathway to shape perception: Evidence from intracranial recording

Kramer, Max

63.319

The impact of culture on the processing of spatial frequencies during the recognition of homogenous objects

Cousineau, Alexandre

63.320

The Signal and the Noise: Optimizing the Reverse Correlation Technique via Noise Selection

Gurariy, Gennadiy

63.321

The spatiotemporal neural dynamics of Braille letter representations in individuals with congenital blindness

Haupt, Marleen

63.322

Uncovering the hidden computations of deep neural networks by tracing the trajectory manifold from images to feature activations

Hamblin, Christopher

63.323

Unsupervised feature selection methods for modeling human similarity judgments with deep neural networks

Truong, Nhut

63.324

Which fragments support object recognition best?

Scialom, Elsa

63.325

Delayed foveal noise affects performance in a vernier offset discrimination task

Morea, Martina

63.326

Effect of Radial Frequency and Amplitude on Target Detection

Smithers, Samuel