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Publications in Math-Net.Ru |
Citations |
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2022 |
| 1. |
A. Sheshkus, A. Chirvonaya, V. Arlazarov, “Tiny CNN for feature point description for document analysis: approach and dataset”, Computer Optics, 46:3 (2022), 429–435  |
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| 2. |
K. B. Bulatov, E. V. Emelianova, D. V. Tropin, N. S. Skoryukina, Y. S. Chernyshova, A. V. Sheshkus, S. A. Usilin, Z. Ming, J.-Ch. Burie, M. M. Luqman, V. V. Arlazarov, “MIDV-2020: a comprehensive benchmark dataset for identity document analysis”, Computer Optics, 46:2 (2022), 252–270 |
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| 3. |
N. Z. Valishina, S. A. Ilyuhin, A. V. Sheshkus, V. L. Arlazarov, “Automatic training data filtering for errors removing and improving the quality of the final neural network”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2022, no. 3, 35–42  |
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2021 |
| 4. |
A. V. Yamaev, M. V. Chukalina, D. P. Nikolaev, A. V. Sheshkus, A. I. Chulichkov, “Neural network for data preprocessing in computed tomography”, Avtomat. i Telemekh., 2021, no. 10, 152–164 ; Autom. Remote Control, 82:10 (2021), 1752–1762   |
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2020 |
| 5. |
A. V. Sheshkus, A. N. Chirvonaya, D. M. Matveev, D. P. Nikolaev, V. L. Arlazarov, “Vanishing point detection with direct and transposed fast Hough transform inside the neural network”, Computer Optics, 44:5 (2020), 737–745 |
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2019 |
| 6. |
E. I. Andreeva, V. V. Arlazarov, A. V. Gayer, E. P. Dorokhov, A. V. Sheshkus, O. A. Slavin, “Document recognition method based on convolutional neural network invariant to 180 degree rotation angle”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2019, no. 4, 87–93 |
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