| NTIRE 2022 challenge on night photography rendering E Ershov, A Savchik, D Shepelev, N Banić, MS Brown, R Timofte, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 37 | 2022 |
| Deep learning-based video stream reconstruction in mass-production diffractive optical systems V Evdokimova, M Petrov, M Klyueva, E Zybin, V Kosianchuk, ... Computer Optics 45 (1), 130-141, 2021 | 29 | 2021 |
| The Cube++ Illumination Estimation Dataset E Ershov, A Savchik, I Semenkov, N Banić, A Belokopytov, D Senshina, ... IEEE Access 8, 227511-227527, 2020 | 26 | 2020 |
| Probabilistic choice between symmetric disparities in motion stereo matching for a lateral navigation system E Ershov, V Karnaukhov, M Mozerov Optical Engineering 55 (2), 023101-023101, 2016 | 26 | 2016 |
| Поиск стохастических равновесий в транспортных моделях равновесного распределения потоков АВ Гасников, ЕВ Гасникова, ПЕ Двуреченский, ЕИ Ершов, ... Труды Московского физико-технического института 7 (4 (28)), 114-128, 2015 | 26 | 2015 |
| Fast Hough transform analysis: pattern deviation from line segment E Ershov, A Terekhin, D Nikolaev, V Postnikov, S Karpenko Eighth International Conference on Machine Vision (ICMV 2015) 9875, 42-46, 2015 | 23 | 2015 |
| NTIRE 2023 challenge on night photography rendering A Shutova, E Ershov, G Perevozchikov, I Ermakov, N Banić, R Timofte, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 19 | 2023 |
| Learned smartphone ISP on mobile GPUs with deep learning, mobile AI & AIM 2022 challenge: report A Ignatov, R Timofte, S Liu, C Feng, F Bai, X Wang, L Lei, Z Yi, Y Xiang, ... European Conference on Computer Vision, 44-70, 2022 | 18 | 2022 |
| A generalization of Otsu method for linear separation of two unbalanced classes in document image binarization EI Ershov, SA Korchagin, VV Kokhan, PV Bezmaternykh Компьютерная оптика 45 (1), 66-76, 2021 | 18 | 2021 |
| A generalization of Otsu method for linear separation of two unbalanced classes in document image binarization EI Ershov, SA Korchagin, VV Kokhan, PV Bezmaternykh Компьютерная оптика 45 (1), 66-76, 2021 | 18 | 2021 |
| Generalization of the Fast Hough Transform for Three-Dimensional Images EI Ershov, AP Terekhin, DP Nikolaev Journal of Communications Technology and Electronics 63 (6), 626-636, 2018 | 15 | 2018 |
| Multiple light source dataset for colour research A Smagina, E Ershov, A Grigoryev Twelfth International Conference on Machine Vision (ICMV 2019) 11433, 635-642, 2020 | 14 | 2020 |
| Color Cerberus A Savchik, E Ershov, S Karpenko 2019 11th International Symposium on Image and Signal Processing and …, 2019 | 13 | 2019 |
| On the use of FHT, its modification for practical applications and the structure of Hough image M Aliev, EI Ershov, DP Nikolaev Eleventh International Conference on Machine Vision (ICMV 2018) 11041, 320-328, 2019 | 11 | 2019 |
| Simulation Of Underwater Color Images Using Banded Spectral Model. DA Shepelev, VP Bozhkova, EI Ershov, DP Nikolaev ECMS, 11-18, 2020 | 10 | 2020 |
| Fast 3D Hough Transform Computation. EI Ershov, AP Terekhin, SM Karpenko, DP Nikolaev, VV Postnikov ECMS, 227-230, 2016 | 10 | 2016 |
| Search for the stochastic equilibria in the transport models of equilibrium flow distribution A Gasnikov, EV Gasnikova, PE Dvurechensky, E Ershov, A Lagunovskaya Proceedings of MIPT 7 (4), 114-128, 2015 | 10 | 2015 |
| Universal similar triangulars method for searching equilibriums in traffic flow distribution models D Baimurzina, A Gasnikov, E Gasnikova, P Dvurechensky, E Ershov, ... arXiv preprint arXiv:1701.02473, 2017 | 9 | 2017 |
| Обобщение быстрого преобразования Хафа для трехмерных изображений ЕИ Ершов, АП Терехин, ДП Николаев Информационные процессы 17 (4), 294-308, 2017 | 9 | 2017 |
| Робастная ортогональная линейная регрессия для маломерных гистограмм ЕИ Ершов, ЕН Асватов, ДП Николаев Сенсорные системы 31 (4), 331-342, 2017 | 8 | 2017 |
Dmitry NikolaevHead of the Lab at Institute for Information Transmission Problems RAS, CTO at Smart EnginesEmail verificata su iitp.ru
