Search Results for author: Alexander Sheshkus

Found 3 papers, 0 papers with code

MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis

no code implementations1 Jul 2021 Konstantin Bulatov, Ekaterina Emelianova, Daniil Tropin, Natalya Skoryukina, Yulia Chernyshova, Alexander Sheshkus, Sergey Usilin, Zuheng Ming, Jean-Christophe Burie, Muhammad Muzzamil Luqman, Vladimir V. Arlazarov

Identity documents recognition is an important sub-field of document analysis, which deals with tasks of robust document detection, type identification, text fields recognition, as well as identity fraud prevention and document authenticity validation given photos, scans, or video frames of an identity document capture.

Face Detection

Computational optimization of convolutional neural networks using separated filters architecture

no code implementations18 Feb 2020 Elena Limonova, Alexander Sheshkus, Dmitry Nikolaev

This paper considers a convolutional neural network transformation that reduces computation complexity and thus speedups neural network processing.

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