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Lucas Brynte

2 accepted papers

2024

Learning Structure-from-Motion with Graph Attention Networks

CVPR 2024poster

In this paper we tackle the problem of learning Structure-from-Motion (SfM) through the use of graph attention networks. SfM is a classic computer vision problem that is solved though iterative minimization of reprojection errors referred to as Bundle Adjustment (BA) starting from a good initializat…

2018

Semantic Match Consistency for Long-Term Visual Localization

ECCV 2018poster

Robust and accurate visual localization across large appearance variations due to changes in time of day, seasons, or changes of the environment is a challenging problem which is of importance to application areas such as navigation of autonomous robots. Traditional feature-based methods often strug…

Cited by 166SourcePDFScholar