322 citations · 1.4k across the 18 of their papers we have counts for
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cs.CV2016
In the Saddle: Chasing Fast and Repeatable Features
Javier Aldana-Iuit, Dmytro Mishkin, Ondrej Chum +1
A novel similarity-covariant feature detector that extracts points whose neighbourhoods, when treated as a 3D intensity surface, have a saddle-like intensity profile. The saddle co…
cs.NE2016★ 315 cited
Systematic evaluation of CNN advances on the ImageNet
Dmytro Mishkin, Nikolay Sergievskiy, Jiri Matas
The paper systematically studies the impact of a range of recent advances in CNN architectures and learning methods on the object categorization (ILSVRC) problem. The evalution tes…