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Poster Session I

Select an Abstract Title to view the poster presentation. Select a Room or Topic to filter the list.

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Poster Title

Presenter

Room

Topic Area

I19

Deep Neural Network Selectivity for Global Shape

Baker, Nicholas

Osprey

Object Recognition: Models

I20

Increasing neural network robustness improves match to V1 eigenspectrum and improves V1 predictivity

Kong, Nathan

Osprey

Object Recognition: Models

I21

Is initial training with blurry images beneficial for the development of object recognition systems?

Jang, Hojin

Osprey

Object Recognition: Models

I22

Representing contextual associations in convolutional neural networks

Roginek, Eric

Osprey

Object Recognition: Models

I23

Quantifying Adversarial Sensitivity of a Model as a Function of the Image Distribution

Kunhardt, Owen

Osprey

Object Recognition: Models

I24

A Signature of Orientation Invariance in Human fMRI & (Some) Deep Neural Networks

Conwell, Colin

Osprey

Object Recognition: Models

I25

High-performing computational models of visual cortex are marked by high intrinsic dimensionality

Elmoznino, Eric

Osprey

Object Recognition: Models

I26

Hierarchically Local Tasks and Deep Convolutional Networks

Deza, Arturo

Osprey

Object Recognition: Models

I27

VISCNN: A tool for Visualizing Interpretable Subgraphs in CNNs

Hamblin, Christopher

Osprey

Object Recognition: Models

I28

Synthesizing preferred stimuli for individual voxels in the human visual system

Seeliger, K.

Osprey

Object Recognition: Models

I29

A unifying parametric language and a toolbox for future investigations of the role of the medial axis parameters in human vision.

Morfoisse, Théo

Osprey

Object Recognition: Models

I30

Bayesian inference of population prevalence

Ince, Robin

Osprey

Object Recognition: Models