9 citations · 15 across the 2 of their papers we have counts for
3 papers
cs.NE2019★ 6 cited
Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods
Karel Lenc, Erich Elsen, Tom Schaul +1
In this work we show that Evolution Strategies (ES) are a viable method for learning non-differentiable parameters of large supervised models. ES are black-box optimization algorit…
cs.CV2015★ 9 cited
R-CNN minus R
Karel Lenc, Andrea Vedaldi
Deep convolutional neural networks (CNNs) have had a major impact in most areas of image understanding, including object category detection. In object detection, methods such as R-…
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…