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Reference Work Entry In depth
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Chapter and Conference Paper
Semantic Segmentation Datasets for Resource Constrained Training
Several large scale datasets, coupled with advances in deep neural network architectures have been greatly successful in pushing the boundaries of performance in semantic segmentation in recent years. However,...
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Reference Work Entry In depth
Bas-Relief Ambiguity
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Article
Open AccessGlobally Optimal Algorithms for Stratified Autocalibration
We present practical algorithms for stratified autocalibration with theoretical guarantees of global optimality. Given a projective reconstruction, we first upgrade it to affine by estimating the position of t...
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Chapter and Conference Paper
A Dual Theory of Inverse and Forward Light Transport
Inverse light transport seeks to undo global illumination effects, such as interreflections, that pervade images of most scenes. This paper presents the theoretical and computational foundations for inverse li...