| Imvoxelnet: Image to voxels projection for monocular and multi-view general-purpose 3d object detection D Rukhovich, A Vorontsova, A Konushin Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 140 | 2022 |
| Fcaf3d: Fully convolutional anchor-free 3d object detection D Rukhovich, A Vorontsova, A Konushin European Conference on Computer Vision, 477-493, 2022 | 92 | 2022 |
| IterDet: Iterative Scheme for Object Detection in Crowded Environments D Rukhovich, K Sofiiuk, D Galeev, O Barinova, A Konushin Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2021 | 50 | 2021 |
| The use of deep machine learning for the automated selection of remote sensing data for the determination of areas of arable land degradation processes distribution DI Rukhovich, PV Koroleva, DD Rukhovich, NV Kalinina Remote Sensing 13 (1), 155, 2021 | 28 | 2021 |
| Location of bare soil surface and soil line on the RED–NIR spectral plane PV Koroleva, DI Rukhovich, AD Rukhovich, DD Rukhovich, AL Kulyanitsa, ... Eurasian soil science 50, 1375-1385, 2017 | 28 | 2017 |
| Maps of averaged spectral deviations from soil lines and their comparison with traditional soil maps DI Rukhovich, AD Rukhovich, DD Rukhovich, MS Simakova, ... Eurasian Soil Science 49, 739-756, 2016 | 26 | 2016 |
| The informativeness of coefficients a and b of the soil line for the analysis of remote sensing materials DI Rukhovich, AD Rukhovich, DD Rukhovich, MS Simakova, ... Eurasian Soil Science 49, 831-845, 2016 | 24 | 2016 |
| Tr3d: Towards real-time indoor 3d object detection D Rukhovich, A Vorontsova, A Konushin 2023 IEEE International Conference on Image Processing (ICIP), 281-285, 2023 | 16 | 2023 |
| Информативность коэффициентов a и b линии почв для анализа материалов дистанционного зондирования ДИ Рухович, АД Рухович, ДД Рухович, МС Симакова, АЛ Куляница, ... Почвоведение, 903-917, 2016 | 15 | 2016 |
| The application of the piecewise linear approximation to the spectral neighborhood of soil line for the analysis of the quality of normalization of remote sensing materials AL Kulyanitsa, AD Rukhovich, DD Rukhovich, PV Koroleva, DI Rukhovich, ... Eurasian Soil Science 50, 387-395, 2017 | 14 | 2017 |
| Построение карт усредненных спектральных отклонений от линии почв и их сравнение с традиционными почвенными картами ДИ Рухович, АД Рухович, ДД Рухович, МС Симакова, АЛ Куляница, ... Почвоведение, 794-812, 2016 | 13 | 2016 |
| Местоположение открытой поверхности почвы и линии почвы в спектральном пространстве RED-NIR ПВ Королева, ДИ Рухович, АД Рухович, ДД Рухович, АЛ Куляница, ... Почвоведение, 1435-1446, 2017 | 12 | 2017 |
| Применение почвенной линии для построения карт усредненных спектральных отклонений и их почвенная интерпретация ДИ Рухович, АД Рухович, ДД Рухович, ЕВ Вильчевская, ГА Сулейман, ... Информация и космос, 125-142, 2015 | 12 | 2015 |
| Top-down beats bottom-up in 3d instance segmentation M Kolodiazhnyi, A Vorontsova, A Konushin, D Rukhovich Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 11 | 2024 |
| Learning High-Resolution Domain-Specific Representations with a GAN Generator D Galeev, K Sofiiuk, D Rukhovich, M Romanov, O Barinova, A Konushin Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2021 | 11 | 2021 |
| Mixmatch domain adaptaion: Prize-winning solution for both tracks of visda 2019 challenge D Rukhovich, D Galeev arXiv preprint arXiv:1910.03903, 2019 | 11 | 2019 |
| Применение кусочно-линейной аппроксимации спектральной окрестности линии почв для анализа качества нормализации материалов дистанционного зондирования АЛ Куляница, АД Рухович, ДД Рухович, ПВ Королева, ДИ Рухович, ... Почвоведение, 401-410, 2017 | 11 | 2017 |
| Characterization of soil types and subtypes in N-dimensional space of multitemporal (empirical) soil line PV Koroleva, DI Rukhovich, AD Rukhovich, DD Rukhovich, AL Kulyanitsa, ... Eurasian soil science 51, 1021-1033, 2018 | 8 | 2018 |
| Application of soil line for creating the maps of averaged spectral deviations and their soil interpretation DI Rukhovich, AD Rukhovich, DD Rukhovich, EV Vil’chevskaya, ... Inf. Kosmos 5 (3), 125-142, 2015 | 8 | 2015 |
| Recognition of the bare soil using deep machine learning methods to create maps of arable soil degradation based on the analysis of multi-temporal remote sensing data DI Rukhovich, PV Koroleva, DD Rukhovich, AD Rukhovich Remote Sensing 14 (9), 2224, 2022 | 7 | 2022 |
Anton KonushinArtificial Intelligence Research InstituteVerified email at airi.net
