26 citations · 70 across the 9 of their papers we have counts for
10 papers
Industry and Academic Research in Computer Vision
Iuliia Kotseruba, Manos Papagelis, John K. Tsotsos
This work aims to study the dynamic between research in the industry and academia in computer vision. The results are demonstrated on a set of top-5 vision conferences that are rep…
On the Control of Attentional Processes in Vision
John K. Tsotsos, Omar Abid, Iuliia Kotseruba +1
The study of attentional processing in vision has a long and deep history. Recently, several papers have presented insightful perspectives into how the coordination of multiple att…
Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs
Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos
One of the major challenges for autonomous vehicles in urban environments is to understand and predict other road users' actions, in particular, pedestrians at the point of crossin…
A Possible Reason for why Data-Driven Beats Theory-Driven Computer Vision
John K. Tsotsos, Iuliia Kotseruba, Alexander Andreopoulos +1
Why do some continue to wonder about the success and dominance of deep learning methods in computer vision and AI? Is it not enough that these methods provide practical solutions t…
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…
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…