| Analytical model of IEEE 802.11 s MCCAbased streaming in the presence of noise E Shvets, A Lyakhov, A Safonov, E Khorov ACM SIGMETRICS Performance Evaluation Review 39 (2), 38-40, 2011 | 25 | 2011 |
| Viola-Jones based hybrid framework for real-time object detection in multispectral images E Kuznetsova, E Shvets, D Nikolaev Eighth international conference on machine vision (ICMV 2015) 9875, 124-129, 2015 | 23 | 2015 |
| Line detection via a lightweight CNN with a Hough layer L Teplyakov, K Kaymakov, E Shvets, D Nikolaev Thirteenth International Conference on Machine Vision 11605, 376-385, 2021 | 16 | 2021 |
| Neural network-based feature point descriptors for registration of optical and SAR images D Abulkhanov, I Konovalenko, D Nikolaev, A Savchik, E Shvets, ... Tenth International Conference on Machine Vision (ICMV 2017) 10696, 135-142, 2018 | 16 | 2018 |
| Mathematical model of MCCA-based streaming process in mesh networks in the presence of noise E Shvets, A Lyakhov 2012 IEEE Wireless Communications and Networking Conference (WCNC), 1887-1892, 2012 | 16 | 2012 |
| Lsdnet: Trainable modification of lsd algorithm for real-time line segment detection L Teplyakov, L Erlygin, E Shvets IEEE Access 10, 45256-45265, 2022 | 13 | 2022 |
| Stochastic Multi-Agent Patrolling Using Social Potential Fields. E Shvets ECMS, 42-49, 2015 | 13 | 2015 |
| Occupancy grid mapping with the use of a forward sonar model by gradient descent EA Shvets, DA Shepelev, DP Nikolaev Journal of Communications Technology and Electronics 61, 1474-1480, 2016 | 12 | 2016 |
| Methods of training data augmentation in the task of image classification SO Emelyanov, AA Ivanova, EA Shvets, DP Nikolaev Sensory systems 32 (3), 236-245, 2018 | 11 | 2018 |
| Optical-to-SAR image registration using a combination of CNN descriptors and cross-correlation coefficient A Shabanov, S Gladilin, E Shvets Twelfth International Conference on Machine Vision (ICMV 2019) 11433, 440-449, 2020 | 10 | 2020 |
| Complex approach to long-term multi-agent mapping in low dynamic environments EA Shvets, DP Nikolaev Eighth International Conference on Machine Vision (ICMV 2015) 9875, 484-493, 2015 | 9 | 2015 |
| Training of neural network-based cascade classifiers LM Teplyakov, SA Gladilin, EA Shvets, DP Nikolaev Journal of Communications Technology and Electronics 64, 846-853, 2019 | 7 | 2019 |
| Generation Algorithms Of Fast Generalized Hough Transform. EI Ershov, EA Shvets, TM Khanipov, DP Nikolaev ECMS, 534-538, 2017 | 7 | 2017 |
| Veiling glare removal: synthetic dataset generation, metrics and neural network architecture AV Shoshin, EA Shvets Компьютерная оптика 45 (4), 615-626, 2021 | 4 | 2021 |
| Segmentation criteria in the problem of porosity determination based on CT scans V Kokhan, M Grigoriev, A Buzmakov, V Uvarov, A Ingacheva, E Shvets Twelfth International Conference on Machine Vision (ICMV 2019) 11433, 378-385, 2020 | 4 | 2020 |
| Dataset and method for evaluating optical-to-sar image registration algorithms based on keypoints VV Volkov, EA Shvets Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 44-57, 2021 | 3 | 2021 |
| Построение карты проходимости на основе показаний датчиков расстояния методом стохастического градиента ДП Николаев, ЕА Швец, ДА Шепелев Труды Института системного анализа Российской академии наук 66 (1), 64-69, 2016 | 3 | 2016 |
| Восстановление карты проходимости с использованием прямой модели сонаров методом градиентного спуска ЕА Швец, ДА Шепелев, ДП Николаев Информационные процессы 16 (1), 61-71, 2016 | 3 | 2016 |
| Algorithm for covert convoy of a moving target using a group of autonomous robots I Polyakov, E Shvets Tenth International Conference on Machine Vision (ICMV 2017) 10696, 119-127, 2018 | 2 | 2018 |
| Complexity-aware loss function for fast neural networks with early exits L Teplyakov, S Gladilin, E Shvets Twelfth International Conference on Machine Vision (ICMV 2019) 11433, 955-961, 2020 | 1 | 2020 |
Dmitry NikolaevHead of the Lab at Institute for Information Transmission Problems RAS, CTO at Smart Engines在 iitp.ru 的电子邮件经过验证
