Tuchin V., Kozin R., Shumigai V., Starceva A., Efimova V. From 1D Signals to Masks: Two-Stage Image-Free Single-Pixel Person Segmentation. Wave Electronics and its Application in Information and Telecommunication Systems (WECONF 2026). 2026. pp. 1-6.. doi: 10.1109/WECONF69969.2026.11553650
Shumigai V.S., Tuchin V.S., Moreva P.E., Starceva A.M., Ismagilov A.O., Nasedkin B.A., Tcypkin A.N. Adaptive polarization-multiplexing foveated ghost imaging method based on deep learning. Optics Communications. 2025. Vol. 577. pp. 131385.. doi: 10.1016/j.optcom.2024.131385
Starceva A., Shumigai V., Tuchin V., Moreva P., Tcypkin A. Application of YOLO and R-CNN Methods for Adapted Selection of Illumination Patterns in the Ghost Polarimetry. Wave Electronics and its Application in Information and Telecommunication Systems (WECONF 2024). 2024. pp. 1-5.. doi: 10.1109/WECONF61770.2024.10564596
Исследование устойчивости системы передачи данных на основе фантомной визуализации и метода множественного доступа с кодовым разделением к основным видам атак
Shumigai V.S., Moreva P.E., Tuchin V.S., Startseva A.M., Nasedkin B.A., Tcypkin A.N. Increase the data acquisition rate of a ghost polarimetry system via deep learning. Proceedings - International Conference Laser Optics 2024, ICLO 2024. 2024. pp. 234.. doi: 10.1109/ICLO59702.2024.10624566
Анализ защищенности системы передачи данных на основе фантомной визуализации и метода множественного доступа с кодовым разделением