38 citations · 73 across the 6 of their papers we have counts for
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cs.CV2018★ 7 cited
Matching Features without Descriptors: Implicitly Matched Interest Points
Titus Cieslewski, Michael Bloesch, Davide Scaramuzza
The extraction and matching of interest points is a prerequisite for many geometric computer vision problems. Traditionally, matching has been achieved by assigning descriptors to…
cs.CV2018
SIPs: Succinct Interest Points from Unsupervised Inlierness Probability Learning
Titus Cieslewski, Konstantinos G. Derpanis, Davide Scaramuzza
A wide range of computer vision algorithms rely on identifying sparse interest points in images and establishing correspondences between them. However, only a subset of the initial…