322 citations · 1.4k across the 18 of their papers we have counts for
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cs.LG2015★ 204 cited
All you need is a good init
Dmytro Mishkin, Jiri Matas
Layer-sequential unit-variance (LSUV) initialization - a simple method for weight initialization for deep net learning - is proposed. The method consists of the two steps. First, p…
cs.CV2015
WxBS: Wide Baseline Stereo Generalizations
Dmytro Mishkin, Jiri Matas, Michal Perdoch +1
We have presented a new problem -- the wide multiple baseline stereo (WxBS) -- which considers matching of images that simultaneously differ in more than one image acquisition fact…
cs.CV2015★ 164 cited
MODS: Fast and Robust Method for Two-View Matching
Dmytro Mishkin, Jiri Matas, Michal Perdoch
A novel algorithm for wide-baseline matching called MODS - Matching On Demand with view Synthesis - is presented. The MODS algorithm is experimentally shown to solve a broader rang…