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Brian Ringer

dblp:182/6815 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Segmentation and scene understanding · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Segmentation and scene understanding
perceptual completion		 0.011992
Neural network models for illusory contour perception · CVPR 1992

Methods — techniques the papers use, named apart from their topics

recurrent processing · 0.0bottom-up feature aggregation · 0.0
YearPublicationVenuePosition
1992 Neural network models for illusory contour perception
abstract
A physiologically motivated model of illusory contour perception is examined by simulating a neural network architecture that was tested with gray-level images. The results indicate that a model that combines a bottom-up feature aggregation strategy with recurrent processing is best suited for describing this type of perceptual completion.>
Josef Skrzypek, Brian Ringer
 CVPR2