Poster Session

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

#	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