82 citations · 324 across the 42 of their papers we have counts for
11 papers · 1 filter
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…
Development of spatial suppression surrounding the focus of visual attention
Audrey M. B. Wong-Kee-You, John K. Tsotsos, Scott A. Adler
The capacity to filter out irrelevant information from our environment is critical to efficient processing. Yet, during development, when building a knowledge base of the world is…
Attention-based Active Visual Search for Mobile Robots
Amir Rasouli, Pablo Lanillos, Gordon Cheng +1
We present an active visual search model for finding objects in unknown environments. The proposed algorithm guides the robot towards the sought object using the relevant stimuli p…
Visual Attention and its Intimate Links to Spatial Cognition
John K. Tsotsos, Iuliia Kotseruba, Amir Rasouli +1
It is almost universal to regard attention as the facility that permits an agent, human or machine, to give priority processing resources to relevant stimuli while ignoring the irr…
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice
Amir Rasouli, John K. Tsotsos
One of the major challenges that autonomous cars are facing today is driving in urban environments. To make it a reality, autonomous vehicles require the ability to communicate wit…
Random Polyhedral Scenes: An Image Generator for Active Vision System Experiments
Markus D. Solbach, Stephen Voland, Jeff Edmonds +1
We present a Polyhedral Scene Generator system which creates a random scene based on a few user parameters, renders the scene from random view points and creates a dataset containi…
Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice
Amir Rasouli, John K. Tsotsos
Today, one of the major challenges that autonomous vehicles are facing is the ability to drive in urban environments. Such a task requires communication between autonomous vehicles…
Totally Looks Like - How Humans Compare, Compared to Machines
Amir Rosenfeld, Markus D. Solbach, John K. Tsotsos
Perceptual judgment of image similarity by humans relies on rich internal representations ranging from low-level features to high-level concepts, scene properties and even cultural…
Bridging Cognitive Programs and Machine Learning
Amir Rosenfeld, John K. Tsotsos
While great advances are made in pattern recognition and machine learning, the successes of such fields remain restricted to narrow applications and seem to break down when trainin…
Challenging Images For Minds and Machines
Amir Rosenfeld, John K. Tsotsos
There is no denying the tremendous leap in the performance of machine learning methods in the past half-decade. Some might even say that specific sub-fields in pattern recognition,…
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing
Amir Rosenfeld, John K. Tsotsos
Training deep neural networks results in strong learned representations that show good generalization capabilities. In most cases, training involves iterative modification of all w…