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20172021
most citedSaccade Sequence Prediction: Beyond Static Saliency Maps

7 citations · 15 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV20211 cited

Edge Detection for Satellite Images without Deep Networks

Joshua Abraham, Calden Wloka

Satellite imagery is widely used in many application sectors, including agriculture, navigation, and urban planning. Frequently, satellite imagery involves both large numbers of im…

cs.CV2020

An Empirical Method to Quantify the Peripheral Performance Degradation in Deep Networks

Calden Wloka, John K. Tsotsos

When applying a convolutional kernel to an image, if the output is to remain the same size as the input then some form of padding is required around the image boundary, meaning tha…

cs.CV2019

Rapid Visual Categorization is not Guided by Early Salience-Based Selection

John K. Tsotsos, Iuliia Kotseruba, Calden Wloka

The current dominant visual processing paradigm in both human and machine research is the feedforward, layered hierarchy of neural-like processing elements. Within this paradigm, v…

cs.CV20187 cited

SMILER: Saliency Model Implementation Library for Experimental Research

Calden Wloka, Toni Kunić, Iuliia Kotseruba +4

The Saliency Model Implementation Library for Experimental Research (SMILER) is a new software package which provides an open, standardized, and extensible framework for maintainin…

cs.CV20177 cited

Saccade Sequence Prediction: Beyond Static Saliency Maps

Calden Wloka, Iuliia Kotseruba, John K. Tsotsos

Visual attention is a field with a considerable history, with eye movement control and prediction forming an important subfield. Fixation modeling in the past decades has been larg…