82 citations · 324 across the 42 of their papers we have counts for
11 papers · 1 filter
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…
STAR-RT: Visual attention for real-time video game playing
Iuliia Kotseruba, John K. Tsotsos
In this paper we present STAR-RT - the first working prototype of Selective Tuning Attention Reference (STAR) model and Cognitive Programs (CPs). The Selective Tuning (ST) model re…
Priming Neural Networks
Amir Rosenfeld, Mahdi Biparva, John K. Tsotsos
Visual priming is known to affect the human visual system to allow detection of scene elements, even those that may have been near unnoticeable before, such as the presence of camo…
STNet: Selective Tuning of Convolutional Networks for Object Localization
Mahdi Biparva, John Tsotsos
Visual attention modeling has recently gained momentum in developing visual hierarchies provided by Convolutional Neural Networks. Despite recent successes of feedforward processin…
Vision-Based Fallen Person Detection for the Elderly
Markus D. Solbach, John K. Tsotsos
Falls are serious and costly for elderly people. The Centers for Disease Control and Prevention of the US reports that millions of older people, 65 and older, fall each year at lea…
Color-opponent mechanisms for local hue encoding in a hierarchical framework
Paria Mehrani, Andrei Mouraviev, Oscar J. Avella Gonzalez +1
A biologically plausible computational model for color representation is introduced. We present a mechanistic hierarchical model of neurons that not only successfully encodes local…
Active Control of Camera Parameters for Object Detection Algorithms
Yulong Wu, John Tsotsos
Camera parameters not only play an important role in determining the visual quality of perceived images, but also affect the performance of vision algorithms, for a vision-guided r…
Incremental Learning Through Deep Adaptation
Amir Rosenfeld, John K. Tsotsos
Given an existing trained neural network, it is often desirable to learn new capabilities without hindering performance of those already learned. Existing approaches either learn s…
The Effect of Color Space Selection on Detectability and Discriminability of Colored Objects
Amir Rasouli, John K. Tsotsos
In this paper, we investigate the effect of color space selection on detectability and discriminability of colored objects under various conditions. 20 color spaces from the litera…
Integrating Three Mechanisms of Visual Attention for Active Visual Search
Amir Rasouli, John K. Tsotsos
Algorithms for robotic visual search can benefit from the use of visual attention methods in order to reduce computational costs. Here, we describe how three distinct mechanisms of…
Agreeing to Cross: How Drivers and Pedestrians Communicate
Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos
The contribution of this paper is twofold. The first is a novel dataset for studying behaviors of traffic participants while crossing. Our dataset contains more than 650 samples of…