Rukhin, A.
Co Author Listing * Dependence characteristics of face recognition algorithms
Rukhin, A.L.[Andrew L.]
Co Author Listing * Fusion of biometric algorithms in the recognition problem
Rukhkhattak, G.
Co Author Listing * Three Dimensional Energy Parametrized Generative Adversarial Networks for Electromagnetic Shower Simulation
Rukhovich, A.D.[Alexey D.]
Co Author Listing * Informativeness of the Long-Term Average Spectral Characteristics of the Bare Soil Surface for the Detection of Soil Cover Degradation with the Neural Network Filtering of Remote Sensing Data
* 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
Rukhovich, D.
Co Author Listing * Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data
* FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
* ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
* TR3D: Towards Real-Time Indoor 3D Object Detection
Includes: Rukhovich, D. Rukhovich, D.[Danila]
Rukhovich, D.D.[Danila D.]
Co Author Listing * 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
* Use of Deep Machine Learning for the Automated Selection of Remote Sensing Data for the Determination of Areas of Arable Land Degradation Processes Distribution, The
Rukhovich, D.I.[Dmitry I.]
Co Author Listing * Informativeness of the Long-Term Average Spectral Characteristics of the Bare Soil Surface for the Detection of Soil Cover Degradation with the Neural Network Filtering of Remote Sensing Data
* 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
* Use of Deep Machine Learning for the Automated Selection of Remote Sensing Data for the Determination of Areas of Arable Land Degradation Processes Distribution, The