82 citations · 324 across the 42 of their papers we have counts for
6 papers · 1 filter
Learning a model of shape selectivity in V4 cells reveals shape encoding mechanisms in the brain
Paria Mehrani, John K. Tsotsos
The mechanisms involved in transforming early visual signals to curvature representations in V4 are unknown. We propose a hierarchical model that reveals V1/V2 encodings that are e…
Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification
Christian Korbach, Markus D. Solbach, Raphael Memmesheimer +2
The presentation and analysis of image data from a single viewpoint are often not sufficient to solve a task. Several viewpoints are necessary to obtain more information. The next-…
Active Observer Visual Problem-Solving Methods are Dynamically Hypothesized, Deployed and Tested
Markus D. Solbach, John K. Tsotsos
The STAR architecture was designed to test the value of the full Selective Tuning model of visual attention for complex real-world visuospatial tasks and behaviors. However, knowle…
Probing the Effect of Selection Bias on Generalization: A Thought Experiment
John K. Tsotsos, Jun Luo
Learned systems in the domain of visual recognition and cognition impress in part because even though they are trained with datasets many orders of magnitude smaller than the full…
Blocks World Revisited: The Effect of Self-Occlusion on Classification by Convolutional Neural Networks
Markus D. Solbach, John K. Tsotsos
Despite the recent successes in computer vision, there remain new avenues to explore. In this work, we propose a new dataset to investigate the effect of self-occlusion on deep neu…
Video action recognition for lane-change classification and prediction of surrounding vehicles
Mahdi Biparva, David Fernández-Llorca, Rubén Izquierdo-Gonzalo +1
In highway scenarios, an alert human driver will typically anticipate early cut-in/cut-out maneuvers of surrounding vehicles using visual cues mainly. Autonomous vehicles must anti…