24 citations · 81 across the 9 of their papers we have counts for
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cs.CV2016
Set2Model Networks: Learning Discriminatively To Learn Generative Models
A. Vakhitov, A. Kuzmin, V. Lempitsky
We present a new "learning-to-learn"-type approach that enables rapid learning of concepts from small-to-medium sized training sets and is primarily designed for web-initialized im…
cs.CV2016★ 1 cited
End-to-end Learning of Cost-Volume Aggregation for Real-time Dense Stereo
Andrey Kuzmin, Dmitry Mikushin, Victor Lempitsky
We present a new deep learning-based approach for dense stereo matching. Compared to previous works, our approach does not use deep learning of pixel appearance descriptors, employ…