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Progressive Batching for Efficient Non-linear Least Squares
Non-linear least squares solvers are used across a broad range of offlin...
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Large Scale Photometric Bundle Adjustment
Direct methods have shown promise on visual odometry and SLAM, leading t...
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Y-Autoencoders: disentangling latent representations via sequential-encoding
In the last few years there have been important advancements in generati...
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Improved RANSAC performance using simple, iterative minimal-set solvers
RANSAC is a popular technique for estimating model parameters in the pre...
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Automatic creation of urban velocity fields from aerial video
In this paper, we present a system for modelling vehicle motion in an ur...
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Learning Object Location Predictors with Boosting and Grammar-Guided Feature Extraction
We present BEAMER: a new spatially exploitative approach to learning obj...
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Camera distortion self-calibration using the plumb-line constraint and minimal Hough entropy
In this paper we present a simple and robust method for self-correction ...
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Faster and better: a machine learning approach to corner detection
The repeatability and efficiency of a corner detector determines how lik...
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