Mahfod K., Belitsckiy A., Belyaev E. Multi-Hypothesis based Distributed Video Coding using Error-Correction Decoder Feedback. 2025 27th International Conference on Digital Signal Processing and its Applications (DSPA). 2025. pp. 1-6.. doi: 10.1109/DSPA64310.2025.10977881
Kim Y., Belyaev E.A. An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling. Proceedings of the 2025 Conference of Young Researchers in Electrical and Electronic Engineering, ElCon. 2025. pp. 1686-1688.
Su B., Li S., Zhang J., Belyaev E. A Non-Binary Dual Cascade Polar Codes Construction and Low-Complexity SCL Decoding. Electronics Letters. 2025. Vol. 61. No. 1. pp. e70306.. doi: 10.1049/ell2.70306
Belyaev E. An Efficient Soft Decoding for Wavelet Video Compression with Global Motion Compensation. 2025 27th International Conference on Digital Signal Processing and its Applications (DSPA). 2025. pp. 1-6.. doi: 10.1109/DSPA64310.2025.10977879
Belyaev E. Compressive Sensed Video Recovery Using Iterative Thresholding with Quality Enhancing Neural Networks. 2024 26th International Conference on Digital Signal Processing and its Applications, DSPA. 2024. pp. 1-6.. doi: 10.1109/DSPA60853.2024.10510112
Подцепко И.С., Беляев Е.А. Транскодирование JPEG-изображений при помощи нейросетевого предсказания коэффициентов ДКП. V Международная конференция по нейронным сетям и нейротехнологиям (NeuroNT'2024): сборник докладов. 2024. С. 12-16.
Belyaev E. An Efficient Compressive Sensed Video Codec with Inter-Frame Decoding and Low-Complexity Intra-Frame Encoding. Sensors. 2023. Vol. 23. No. 3. pp. 1368.. doi: 10.3390/s23031368
Belyaev E., Kai L. An Adaptive Binary rANS With Probability Estimation in Reverse Order. IEEE Signal Processing Letters. 2023. Vol. 30. pp. 1487-1491.. doi: 10.1109/LSP.2023.3324247
Trofimiuk G., Belyaev E., Trifonov P. Distributed Video Coding Based on Polar Codes. IEEE Communications Letters. 2023. Vol. 27. No. 3. pp. 778-781.. doi: 10.1109/LCOMM.2023.3237285
Беляев Е.А., Шалыто А.А. Яаков Зив – «отец» современных архиваторов. Виртуальный компьютерный музей. Проект Эдуарда Пройдакова [электронный сайт]. 2022.
Ding C., Wen S., Ding W., Liu K., Belyaev E. Temporal segment graph convolutional networks for skeleton-based action recognition. Engineering Applications of Artificial Intelligence. 2022. Vol. 110. pp. 104675.. doi: 10.1016/j.engappai.2022.104675
Ding C., Liu K., Cheng F., Belyaev E.A. Spatio-temporal attention on manifold space for 3D human action recognition. Applied Intelligence. 2021. Vol. 51. No. 1. pp. 560-570.. doi: 10.1007/s10489-020-01803-3
Belyaev E. Fast Decoding and Parameters Selection for CS-JPEG Video Codec. 23rd IEEE International Workshop on Multimedia Signal Processing, MMSP 2021. 2021. pp. 1-6.. doi: 10.1109/MMSP53017.2021.9733642
Ding C.Y., Liu K., Korhonen J., Belyaev E. Spatio-Temporal Difference Descriptor for Skeleton-Based Action Recognition. 35th AAAI Conference on Artificial Intelligence, AAAI 2021. 2021. Vol. 35. pp. 1227-1235.
Li G., Liu K., Ding C., Ding W., Belyaev E.A., Cheng F. A New Method for Mapping Active Joint Locations of Skeletons to Pre-Shape Space for Action Recognition. International Journal of Pattern Recognition and Artificial Intelligence. 2021. Vol. 35. No. 3. pp. 2150009.. doi: 10.1142/S0218001421500099
Belyaev E.A., Forchhammer S. Low-complexity open-loop coding of IDR infrared images having JPEG compatibility. Journal of Real-Time Image Processing. 2020. Vol. 17. No. 5. pp. 1547-1565.. doi: 10.1007/s11554-019-00898-3
Yan L., Liu K., Belyaev E.A. Revisiting Sparsity Invariant Convolution: A Network for Image Guided Depth Completion. IEEE Access. 2020. Vol. 8. pp. 126323-126332.. doi: 10.1109/ACCESS.2020.3008404
Belyaev E.A., Codrenau M., Juntti M., Egiazarian K. Compressive sensed video recovery via iterative thresholding with random transforms. IET Image Processing. 2020. Vol. 14. No. 6. pp. 1187 – 1199.. doi: 10.1049/iet-ipr.2019.0661
Belyaev E. Compressive sensed video coding having jpeg compatibility. 2020 IEEE International Conference on Image Processing, ICIP 2020. 2020. pp. 1128-1132.. doi: 10.1109/ICIP40778.2020.9190857
Беляев Е.А. Восстановление изображений по неполным псеводослучайным измерениям при помощи итеративного применения пороговой функции. Интеллектуальные информационные системы: теория и практика: сборник научных трудов I Всероссийской научно-технической конференции (Курск, 20-22апреля 2020г.). 2020. Т. Часть 1. С. 15-21.
Georgiev M., Belyaev E.A., Gotchev A. A General Framework for Depth Compression and Multi-Sensor Fusion in Asymmetric View-Plus-Depth 3D Representation. IEEE Access. 2020. Vol. 8. pp. 97516-97528.. doi: 10.1109/ACCESS.2020.2996689
Chen B., Liu K., Belyaev E.A. An Efficient Hardware Implementation of Multialphabet Adaptive Arithmetic Encoder Based on Generalized Virtual Sliding Window. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 2020. Vol. 28. No. 5. pp. 1326-1330.. doi: 10.1109/TVLSI.2020.2966306
Belyaev E.A., Bie L., Korhonen J. Motion JPEG Decoding via Iterative Thresholding and Motion-Compensated Deflickering. 22nd IEEE International Workshop on Multimedia Signal Processing, MMSP 2020. 2020. pp. 9287147.. doi: 10.1109/MMSP48831.2020.9287147
Yan L., Liu K., Belyaev E.A., Duan M. RTL3D: Real-time LIDAR-based 3D object detection with sparse CNN. IET Computer Vision. 2020. Vol. 14. No. 5. pp. 224-232.. doi: 10.1049/iet-cvi.2019.0508
Belyaev E. Fast Recovery of Compressive Sensed Images via Multiple Thresholding Operators. Proceedings of the 26th Conference of Open Innovations Association FRUCT. 2020. pp. 684-686.
Liu K., Belyaev E.A., Li Y.S. A High Throughput JPEG2000 Entropy Decoding Unit Architecture. Journal of Signal Processing Systems. 2019. Vol. 91. No. 8. pp. 899-913.. doi: 10.1007/s11265-018-1411-6
Belyaev E., Forchhammer S. An efficient storage of infrared video of drone inspections via iterative aerial map construction. IEEE Signal Processing Letters. 2019. Vol. 26. No. 8. pp. 1157-1161.. doi: 10.1109/LSP.2019.2921250
Belyaev E., Forchhammer S. Drone Infrared Video Coding Using Virtual View Generated from Iteratively Constructed Aerial Map and Historical Data. EUSIPCO 2019: Signal Processing, Computer Vision and Deep Learning for Autonomous Systems. 2019. pp. 1-5.
Ding W., Liu K., Belyaev E., Cheng F. Tensor-based linear dynamical systems for action recognition from 3D skeletons. Pattern Recognition. 2018. Vol. 77. pp. 75-86.. doi: 10.1016/j.patcog.2017.12.004
Belyaev E., Forchhammer S. Drone HDR Infrared Video Coding via Aerial Map Prediction. 25th IEEE International Conference on Image Processing (ICIP). 2018. pp. 1733-1736.. doi: 10.1109/ICIP.2018.8451554
Сухов Т.М., Страхов С.Ю., Кочин Л.Б., Беляев Е.А. Применение и реализации принципа постоянной цветовой яркости в цифровых системах кодирования видеоинформации [Application and implementations of the principle of constant color luminance in digital video coding systems]. Труды СПИИРАН [SPIIRAS Proceedings]. 2017. № 5(54). С. 84-105.. doi: 10.15622/sp.54.4
Belyaev E., Forchhammer S., Liu K. An adaptive multialphabet arithmetic coding based on generalized virtual sliding window. IEEE Signal Processing Letters. 2017. Vol. 24. No. 7. pp. 1034–1038.. doi: 10.1109/LSP.2017.2705250
Belyaev E., Forchhammer S., Codrenau M. Error concealment for 3-D DWT based video codec using iterative thresholding. IEEE Communications Letters. 2017. Vol. 21. No. 8. pp. 1731–1734.. doi: 10.1109/LCOMM.2017.2697428
Теория информации. Кодирование дискретных источников: методические указания к выполнению лабораторных работ
Теория информации. Помехоустойчивое кодирование дискретных сообщений : методические указания к выполнению лабораторных работ
Российская Федерация, Санкт-Петербург
Российская Федерация, Санкт-Петербург