| 2025 | ICDAR | MIDV-UP: A Dataset of Pakistani and Iranian ID Documents. | Yulia S. Chernyshova, Daniil A. Ilyukhin, Vladimir V. Arlazarov |
| 2023 | ICMV | Multilanguage ID document images synthesis for testing recognition pipelines. | Yulia S. Chernyshova, Konstantin K. Suloev, Vladimir V. Arlazarov |
| 2023 | ICMV | SAIGAN: arbitrary length and out-of-vocabulary handwriting synthesis preserving geometrical annotation. | Konstantin K. Suloev, Yulia S. Chernyshova, Alexander V. Sheshkus |
| 2021 | ICDAR | 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 |
| 2019 | ICMV | Localization of characters horizontal bounds in text line images with fully convolutional network. | Yulia S. Chernyshova, Anastasiya N. Chirvonaya, Alexander V. Sheshkus |
| 2018 | ICMV | 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 |
| 2018 | ICMV | Effective real-time augmentation of training dataset for the neural networks learning. | Alexander V. Gayer, Yulia S. Chernyshova, Alexander V. Sheshkus |
| 2017 | ICMV | Generation method of synthetic training data for mobile OCR system. | Yulia S. Chernyshova, Alexander V. Gayer, Alexander V. Sheshkus |