Alexander Sheshkus

According to our database, Alexander Sheshkus authored at least 35 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

HoughToRadon Transform: New Neural Network Layer for Features Improvement in Projection Space.

Alexandra Zhabitskaya, Alexander Sheshkus, Vladimir L. Arlazarov

CoRR, 2024

2022

Neural network-based prediction of the stopping moment for text recognition in a video stream.

Ksenia Kryuchkova, Alexander Sheshkus, Konstantin B. Bulatov

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Tiny CNN for feature point description for document analysis: approach and dataset.

Alexander Sheshkus, Anastasiya N. Chirvonaya, Vladimir L. Arlazarov

CoRR, 2021

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

Konstantin B. Bulatov, Ekaterina Emelianova, Daniil V. Tropin, Natalya Skoryukina, Yulia S. Chernyshova, Alexander Sheshkus, Sergey A. Usilin, Zuheng Ming, Jean-Christophe Burie, Muhammad Muzzamil Luqman, Vladimir V. Arlazarov

CoRR, 2021

Neural Network for Data Preprocessing in Computed Tomography.

Andrei V. Yamaev, Marina V. Chukalina, Dmitry P. Nikolaev, Aleksander V. Sheshkus, Alexey I. Chulichkov

Autom. Remote. Control., 2021

Character sequence prediction method for training data creation in the task of text recognition.

Pavel K. Zlobin, Alexander V. Sheshkus, Vladimir V. Arlazarov

Proceedings of the Fourteenth International Conference on Machine Vision, 2021

Method for training a compact discrete neural network descriptor.

Alexander V. Sheshkus, Vladimir L. Arlazarov

Proceedings of the Fourteenth International Conference on Machine Vision, 2021

Auto-clustering pairs generation method for Siamese neural networks training.

Arseniy K. Mokin, Alexander V. Gayer, Alexander V. Sheshkus, Vladimir L. Arlazarov

Proceedings of the Fourteenth International Conference on Machine Vision, 2021

MIDV-LAIT: A Challenging Dataset for Recognition of IDs with Perso-Arabic, Thai, and Indian Scripts.

Yulia S. Chernyshova, Ekaterina Emelianova, Alexander Sheshkus, Vladimir V. Arlazarov

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2020

Computational optimization of convolutional neural networks using separated filters architecture.

Elena Limonova, Alexander Sheshkus, Dmitry P. Nikolaev

CoRR, 2020

Vanishing Point Detection with Direct and Transposed Fast Hough Transform inside the neural network.

Alexander Sheshkus, A. Chirvonaya, Dmitry P. Nikolaev, Vladimir V. Arlazarov

CoRR, 2020

Two-Step CNN Framework for Text Line Recognition in Camera-Captured Images.

Yulia S. Chernyshova, Alexander V. Sheshkus, Vladimir V. Arlazarov

IEEE Access, 2020

Lightweight denoising filtering neural network for FBP algorithm.

Andrei V. Yamaev, Marina V. Chukalina, Dmitry Nikolaev, Alexander Sheshkus, Alexey I. Chulichkov

Proceedings of the Thirteenth International Conference on Machine Vision, 2020

Distance-based online pairs generation method for metric networks training.

Ivan V. Kondrashev, Alexander V. Sheshkus, Vladimir V. Arlazarov

Proceedings of the Thirteenth International Conference on Machine Vision, 2020

Block convolutional layer for position dependent features calculation.

Sergey A. Ilyuhin, Alexander Sheshkus, Vladimir V. Arlazarov

Proceedings of the Thirteenth International Conference on Machine Vision, 2020

Improvement of U-Net architecture for image binarization with activation functions replacement.

Alexander V. Gayer, Alexander V. Sheshkus, Dmitrii P. Nikolaev, Vladimir V. Arlazarov

Proceedings of the Thirteenth International Conference on Machine Vision, 2020

2019

Recognition of Images of Korean Characters Using Embedded Networks.

Sergey A. Ilyuhin, Alexander V. Sheshkus, Vladimir V. Arlazarov

CoRR, 2019

Transfer of a high-level knowledge in HoughNet neural network.

Alexander V. Sheshkus, Dmitry P. Nikolaev

Proceedings of the Twelfth International Conference on Machine Vision, 2019

Recognition of images of Korean characters using embedded networks.

Sergey A. Ilyuhin, Alexander V. Sheshkus, Vladimir L. Arlazarov

Proceedings of the Twelfth International Conference on Machine Vision, 2019

Convolutional neural network weights regularization via orthogonalization.

Alexander V. Gayer, Alexander V. Sheshkus

Proceedings of the Twelfth International Conference on Machine Vision, 2019

Monospaced font detection using character segmentation and Fourier transform.

Anastasiya N. Chirvonaya, Alexander V. Sheshkus, Vladimir L. Arlazarov

Proceedings of the Twelfth International Conference on Machine Vision, 2019

Localization of characters horizontal bounds in text line images with fully convolutional network.

Yulia S. Chernyshova, Anastasiya N. Chirvonaya, Alexander V. Sheshkus

Proceedings of the Twelfth International Conference on Machine Vision, 2019

Iterative tomography reconstruction in a limited field of view.

Alexey V. Buzmakov, Denis Zolotov, Marina V. Chukalina, Anastasia Ingacheva, Alexander Sheshkus, Victor E. Asadchikov

Proceedings of the Twelfth International Conference on Machine Vision, 2019

HoughNet: Neural Network Architecture for Vanishing Points Detection.

Alexander Sheshkus, Anastasia Ingacheva, Vladimir V. Arlazarov, Dmitry P. Nikolaev

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2018

Viability of Viola-Jones method for the problem of image classification.

Alexander Sheshkus, Daniil Matalov, Vladimir V. Arlazarov, Dmitry P. Nikolaev

Proceedings of the Eleventh International Conference on Machine Vision, 2018

Document image recognition algorithm based on similarity metric robust to projective distortions for mobile devices.

Aleksander Lynchenko, Aleksander V. Sheshkus, Vladimir L. Arlazarov

Proceedings of the Eleventh International Conference on Machine Vision, 2018

Effective real-time augmentation of training dataset for the neural networks learning.

Alexander V. Gayer, Yulia S. Chernyshova, Alexander V. Sheshkus

Proceedings of the Eleventh International Conference on Machine Vision, 2018

Optical font recognition in smartphone-captured images and its applicability for ID forgery detection.

Yulia S. Chernyshova, Mikhail A. Aliev, Ekaterina S. Gushchanskaia, Alexander V. Sheshkus

Proceedings of the Eleventh International Conference on Machine Vision, 2018

2017

Vanishing points detection using combination of fast Hough transform and deep learning.

Alexander Sheshkus, Anastasia Ingacheva, Dmitry P. Nikolaev

Proceedings of the Tenth International Conference on Machine Vision, 2017

Generation method of synthetic training data for mobile OCR system.

Yulia S. Chernyshova, Alexander V. Gayer, Alexander V. Sheshkus

Proceedings of the Tenth International Conference on Machine Vision, 2017

2016

Combining convolutional neural networks and Hough Transform for classification of images containing lines.

Alexander Sheshkus, Elena Limonova, Dmitry P. Nikolaev, Valeriy E. Krivtsov

Proceedings of the Ninth International Conference on Machine Vision, 2016

2015

Approach to recognition of flexible form for credit card expiration date recognition as example.

Alexander Sheshkus, Dmitry P. Nikolaev, Anastasia Ingacheva, Natalya Skoryukina

Proceedings of the Eighth International Conference on Machine Vision, 2015

Space Symbol Detection On Complex Background Using Visual Context.

Alexander Sheshkus, Vladimir L'ovovich Arlazarov

Proceedings of the 29th European Conference on Modelling and Simulation, 2015

2014

Real time rectangular document detection on mobile devices.

Natalya Skoryukina, Dmitry P. Nikolaev, Alexander Sheshkus, Dmitry Polevoy

Proceedings of the Seventh International Conference on Machine Vision, 2014

Comparison of two algorithms modifications of projective-invariant recognition of the plane boundaries with the one concavity.

Natalia Pritula, Dmitrii P. Nikolaev, Alexander Sheshkus, Mikhail Pritula, Petr P. Nikolaev

Proceedings of the Seventh International Conference on Machine Vision, 2014