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08/03/2023
Quantification of Predictive Uncertainty via Inference-Time Sampling
Predictive variability due to data ambiguities has typically been addres...
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06/25/2019
Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction
Dense semantic 3D reconstruction is typically formulated as a discrete o...
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05/19/2017
Matching neural paths: transfer from recognition to correspondence search
Many machine learning tasks require finding per-part correspondences bet...
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04/12/2017
Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark
This paper presents a new 3D point cloud classification benchmark data s...
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11/22/2016
Quad-networks: unsupervised learning to rank for interest point detection
Several machine learning tasks require to represent the data using only ...
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04/11/2016
Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint
We propose an approach for dense semantic 3D reconstruction which uses a...
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02/02/2015
Learning the Matching Function
The matching function for the problem of stereo reconstruction or optica...
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09/11/2011