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Evgeny Shvets
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Year
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
242011
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
232015
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
152021
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
152018
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
152012
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
122016
Stochastic Multi-Agent Patrolling Using Social Potential Fields.
E Shvets
ECMS, 42-49, 2015
122015
Lsdnet: Trainable modification of lsd algorithm for real-time line segment detection
L Teplyakov, L Erlygin, E Shvets
IEEE Access 10, 45256-45265, 2022
112022
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
112018
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
92015
Generation Algorithms Of Fast Generalized Hough Transform.
EI Ershov, EA Shvets, TM Khanipov, DP Nikolaev
ECMS, 534-538, 2017
72017
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
62020
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
62019
Veiling glare removal: synthetic dataset generation, metrics and neural network architecture
AV Shoshin, EA Shvets
Компьютерная оптика 45 (4), 615-626, 2021
42021
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
42020
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
32016
Восстановление карты проходимости с использованием прямой модели сонаров методом градиентного спуска
ЕА Швец, ДА Шепелев, ДП Николаев
Информационные процессы 16 (1), 61-71, 2016
32016
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
22018
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
12021
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
12020
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Articles 1–20