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ORCIDAlexander Sheshkus
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2020 – today
- 2024
[c30]Daria M. Ershova
, Alexander V. Gayer, Alexander Sheshkus, Vladimir V. Arlazarov:
An Ultra-lightweight Approach for Machine Readable Zone Detection via Semantic Segmentation and Fast Hough Transform. ICDAR (4) 2024: 359-374- [i8]Alexandra Zhabitskaya, Alexander Sheshkus, Vladimir L. Arlazarov:
HoughToRadon Transform: New Neural Network Layer for Features Improvement in Projection Space. CoRR abs/2402.02946 (2024) - 2023
- [c29]Konstantin K. Suloev, Yulia S. Chernyshova, Alexander V. Sheshkus:
SAIGAN: arbitrary length and out-of-vocabulary handwriting synthesis preserving geometrical annotation. ICMV 2023 - [c28]Alexandra Zhabitskaya, Alexander Sheshkus, Vladimir L. Arlazarov:
HoughToRadon transform: new neural network layer for features improvement in projection space. ICMV 2023 - 2022
- [c27]Ksenia Kryuchkova, Alexander Sheshkus, Konstantin B. Bulatov:
Neural network-based prediction of the stopping moment for text recognition in a video stream. ICPR 2022: 1450-1456 - 2021
- [j2]Andrei V. Yamaev, Marina V. Chukalina, Dmitry P. Nikolaev, Aleksander V. Sheshkus, Alexey I. Chulichkov:
Neural Network for Data Preprocessing in Computed Tomography. Autom. Remote. Control. 82(10): 1752-1762 (2021) - [c26]Yulia S. Chernyshova, Ekaterina Emelianova, Alexander Sheshkus, Vladimir V. Arlazarov:
MIDV-LAIT: A Challenging Dataset for Recognition of IDs with Perso-Arabic, Thai, and Indian Scripts. ICDAR (2) 2021: 258-272 - [c25]Pavel K. Zlobin, Alexander V. Sheshkus, Vladimir V. Arlazarov:
Character sequence prediction method for training data creation in the task of text recognition. ICMV 2021: 120840R - [c24]Arseniy K. Mokin, Alexander V. Gayer, Alexander V. Sheshkus, Vladimir L. Arlazarov:
Auto-clustering pairs generation method for Siamese neural networks training. ICMV 2021: 120841A - [c23]Alexander V. Sheshkus, Vladimir L. Arlazarov:
Method for training a compact discrete neural network descriptor. ICMV 2021: 1208411 - [i7]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:
MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis. CoRR abs/2107.00396 (2021) - [i6]Alexander Sheshkus, Anastasiya N. Chirvonaya, Vladimir L. Arlazarov:
Tiny CNN for feature point description for document analysis: approach and dataset. CoRR abs/2109.04134 (2021) - 2020
- [j1]Yulia S. Chernyshova, Alexander V. Sheshkus, Vladimir V. Arlazarov:
Two-Step CNN Framework for Text Line Recognition in Camera-Captured Images. IEEE Access 8: 32587-32600 (2020) - [c22]Alexander V. Gayer, Alexander V. Sheshkus, Dmitrii P. Nikolaev, Vladimir V. Arlazarov:
Improvement of U-Net architecture for image binarization with activation functions replacement. ICMV 2020: 116050Y - [c21]Sergey A. Ilyuhin, Alexander Sheshkus, Vladimir V. Arlazarov:
Block convolutional layer for position dependent features calculation. ICMV 2020: 116050R - [c20]Andrei V. Yamaev, Marina V. Chukalina, Dmitry Nikolaev, Alexander Sheshkus, Alexey I. Chulichkov:
Lightweight denoising filtering neural network for FBP algorithm. ICMV 2020: 116050L - [c19]Ivan V. Kondrashev, Alexander V. Sheshkus, Vladimir V. Arlazarov:
Distance-based online pairs generation method for metric networks training. ICMV 2020: 1160508 - [i5]Alexander Sheshkus, A. Chirvonaya, Dmitry P. Nikolaev, Vladimir V. Arlazarov:
Vanishing Point Detection with Direct and Transposed Fast Hough Transform inside the neural network. CoRR abs/2002.01176 (2020) - [i4]Elena Limonova, Alexander Sheshkus, Dmitry P. Nikolaev:
Computational optimization of convolutional neural networks using separated filters architecture. CoRR abs/2002.07754 (2020)
2010 – 2019
- 2019
- [c18]Alexander Sheshkus, Anastasia Ingacheva, Vladimir V. Arlazarov, Dmitry P. Nikolaev:
HoughNet: Neural Network Architecture for Vanishing Points Detection. ICDAR 2019: 844-849 - [c17]Alexey V. Buzmakov, Denis Zolotov, Marina V. Chukalina, Anastasia Ingacheva, Alexander Sheshkus, Victor E. Asadchikov:
Iterative tomography reconstruction in a limited field of view. ICMV 2019: 114331W - [c16]Yulia S. Chernyshova, Anastasiya N. Chirvonaya, Alexander V. Sheshkus:
Localization of characters horizontal bounds in text line images with fully convolutional network. ICMV 2019: 114333F - [c15]Sergey A. Ilyuhin, Alexander V. Sheshkus, Vladimir L. Arlazarov:
Recognition of images of Korean characters using embedded networks. ICMV 2019: 1143311 - [c14]Anastasiya N. Chirvonaya, Alexander V. Sheshkus, Vladimir L. Arlazarov:
Monospaced font detection using character segmentation and Fourier transform. ICMV 2019: 1143317 - [c13]Alexander V. Sheshkus, Dmitry P. Nikolaev:
Transfer of a high-level knowledge in HoughNet neural network. ICMV 2019: 1143322 - [c12]Alexander V. Gayer, Alexander V. Sheshkus:
Convolutional neural network weights regularization via orthogonalization. ICMV 2019: 1143326 - [i3]Alexander Sheshkus, Anastasia Ingacheva, Vladimir V. Arlazarov, Dmitry P. Nikolaev:
HoughNet: neural network architecture for vanishing points detection. CoRR abs/1909.03812 (2019) - [i2]Sergey A. Ilyuhin, Alexander V. Sheshkus, Vladimir V. Arlazarov:
Recognition of Images of Korean Characters Using Embedded Networks. CoRR abs/1911.04241 (2019) - 2018
- [c11]Alexander Sheshkus, Daniil Matalov, Vladimir V. Arlazarov, Dmitry P. Nikolaev:
Viability of Viola-Jones method for the problem of image classification. ICMV 2018: 110410E - [c10]Yulia S. Chernyshova, Mikhail A. Aliev, Ekaterina S. Gushchanskaia, Alexander V. Sheshkus:
Optical font recognition in smartphone-captured images and its applicability for ID forgery detection. ICMV 2018: 110411J - [c9]Alexander V. Gayer, Yulia S. Chernyshova, Alexander V. Sheshkus:
Effective real-time augmentation of training dataset for the neural networks learning. ICMV 2018: 110411I - [c8]Aleksander Lynchenko, Aleksander V. Sheshkus, Vladimir L. Arlazarov:
Document image recognition algorithm based on similarity metric robust to projective distortions for mobile devices. ICMV 2018: 110411K - [i1]Yulia S. Chernyshova, Mikhail A. Aliev, Ekaterina S. Gushchanskaia, Alexander V. Sheshkus:
Optical Font Recognition in Smartphone-Captured Images, and its Applicability for ID Forgery Detection. CoRR abs/1810.08016 (2018) - 2017
- [c7]Alexander Sheshkus, Anastasia Ingacheva, Dmitry P. Nikolaev:
Vanishing points detection using combination of fast Hough transform and deep learning. ICMV 2017: 106960H - [c6]Yulia S. Chernyshova, Alexander V. Gayer, Alexander V. Sheshkus:
Generation method of synthetic training data for mobile OCR system. ICMV 2017: 106962G - 2016
- [c5]Alexander Sheshkus, Elena Limonova, Dmitry P. Nikolaev, Valeriy E. Krivtsov:
Combining convolutional neural networks and Hough Transform for classification of images containing lines. ICMV 2016: 103411C - 2015
- [c4]Alexander Sheshkus, Vladimir L'ovovich Arlazarov:
Space Symbol Detection On Complex Background Using Visual Context. ECMS 2015: 532-536 - [c3]Alexander Sheshkus, Dmitry P. Nikolaev, Anastasia Ingacheva, Natalya Skoryukina:
Approach to recognition of flexible form for credit card expiration date recognition as example. ICMV 2015: 98750R - 2014
- [c2]Natalya Skoryukina, Dmitry P. Nikolaev, Alexander Sheshkus, Dmitry Polevoy:
Real time rectangular document detection on mobile devices. ICMV 2014: 94452A - [c1]Natalia Pritula, Dmitrii P. Nikolaev, Alexander Sheshkus, Mikhail Pritula, Petr P. Nikolaev:
Comparison of two algorithms modifications of projective-invariant recognition of the plane boundaries with the one concavity. ICMV 2014: 944508
Coauthor Index
aka: Vladimir L'ovovich Arlazarov
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