Study of methods for searching and localizing objects in images from aircraft using convolutional neural networks R Tsekhmystro, O Rubel, V Lukin Radioelectronic and Computer Systems 2024 (1), 87-98, 2024 | 3 | 2024 |
INVESTIGATION OF THE EFFECT OF OBJECT SIZE ON ACCURACY OF HUMAN LOCALISATION IN IMAGES ACQUIRED FROM UNMANNED AERIAL VEHICLES R TSEKHMYSTRO, O RUBEL, V LUKIN | 2 | 2024 |
Web assembled benchmark for image visual quality assesment, prediction and improvement R Tsekhmystro, V Oliinyk, G Proskura, O Rubel 2020 IEEE 15th International Conference on Advanced Trends in …, 2020 | 2 | 2020 |
Automatic Decision Undertaking on Expedience of Image Denoising Based on Filter Efficiency Prediction A Rubel, O Rubel, R Tsekhmystro, V Rebrov, V Lukin International Symposium of Space Optical Instruments and Applications, 504-524, 2022 | 1 | 2022 |
Mobile Deployment of NoiseNet: Noise Characteristics Assessment in Real-World Images R Tsekhmystro, O Rubel, V Abramova, M Zriakhov, M Uss 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering …, 2019 | 1 | 2019 |
NOISE CHARACTERISTICS ESTIMATION IN REAL-WORLD IMAGES USING CONVOLUTIONAL NEURAL NETWORK IN MOBILE PLATFORM РВ Цехмистро, ВВ Абрамова, АС Рубель, МЛ Усс, ГА Проскура, ... Radioelectronic and Computer Systems, 60-70, 2019 | 1 | 2019 |
Benchmark of similar blocks search under noisy conditions O Rubel, R Tsekhmystro, V Lukin, K Egiazarian Electronic Imaging 33, 1-7, 2021 | | 2021 |