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Video post-processing

Known as: Video postprocessing, Post processing (images), Post-processing 
The term post-processing (or postproc for short) is used in the video/film business for quality-improvement image processing (specifically digital… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Spatial pyramid pooling module or encode-decoder structure are used in deep neural networks for semantic segmentation task. The… Expand
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Highly Cited
2017
Highly Cited
2017
In this work, we revisit atrous convolution, a powerful tool to explicitly adjust filter's field-of-view as well as control the… Expand
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Highly Cited
2016
Highly Cited
2016
We propose a criterion for discrimination against a specified sensitive attribute in supervised learning, where the goal is to… Expand
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Highly Cited
2015
Highly Cited
2015
Pixel-level labelling tasks, such as semantic segmentation, play a central role in image understanding. Recent approaches have… Expand
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Highly Cited
2011
Highly Cited
2011
The R package mice imputes incomplete multivariate data by chained equations. The software mice 1.0 appeared in the year 2000 as… Expand
Highly Cited
2009
Highly Cited
2009
The Open Visualization Tool (OVITO) is a new 3D visualization software designed for post-processing atomistic data obtained from… Expand
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Review
2009
Review
2009
Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing deals with various aspects of joining… Expand
Highly Cited
2006
Highly Cited
2006
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In… Expand
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Highly Cited
2004
Highly Cited
2004
In this paper we present SPADE, a new algorithm for fast discovery of Sequential Patterns. The existing solutions to this problem… Expand
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Highly Cited
2002
Highly Cited
2002
Introduction.- Physical and technical background.- Mathematical background of statistical PIV evaluation.- PIV recording… Expand