Krylov, A.[Andrey]
* 2014: Image Warping in Dermatological Image Hair Removal
* 2015: Cross-Frame Ultrasonic Color Doppler Flow Heart Image Unwrapping
* 2015: Deblurred Images Post-Processing by Poisson Warping
* 2017: CNN Based Retinal Image Upscaling Using Zero Component Analysis
* 2017: Fast medical image registration using bidirectional empirical mode decomposition
* 2017: Image Ridge Denoising Using No-Reference Metric
* 2017: Single parameter post-processing method for image deblurring
* 2017: Ultrasound despeckling by anisotropic diffusion and total variation methods for liver fibrosis diagnostics
* 2018: Evaluating Landsat and RapidEye Data for Winter Wheat Mapping and Area Estimation in Punjab, Pakistan
* 2018: Vessel Preserving CNN-Based Image Resampling of Retinal Images
* 2019: Automatic Mucous Glands Segmentation in Histological Images
* 2019: Dermatological Image Denoising Using Adaptive Henlm Method
* 2019: Image Sharpening With Blur Map Estimation Using Convolutional Neural Network
Includes: Krylov, A.[Andrey] Krylov, A. Krylov, A.[Alexander]
13 for Krylov, A.
Krylov, A.S.[Andrey S.]
* 2006: Fast Hermite Projection Method
* 2008: Adaptive total variation deringing method for image interpolation
* 2009: Edge-preserving nonlinear iterative image resampling method
* 2009: Scale-space method of image ringing estimation
* 2010: Fast Super-Resolution Using Weighted Median Filtering
* 2011: Edge-Directed Image Interpolation Using Color Gradient Information
* 2011: Gauss-Laguerre keypoints descriptors for color images
* 2011: Gauss-Laguerre Keypoints Extraction Using Fast Hermite Projection Method
* 2011: Graph-cut based antialiasing for Doppler ultrasound color flow medical imaging
* 2011: Using Blood Vessels Location Information in Optic Disk Segmentation
* 2012: Efficient sampling strategy and refinement strategy for randomized circle detection
* 2014: Grid warping in total variation image enhancement methods
* 2017: Correlation-based 2D registration method for single particle cryo-EM images
* 2020: Learning Local Quality-Aware Structures of Salient Regions for Stereoscopic Images via Deep Neural Networks
Includes: Krylov, A.S.[Andrey S.] Krylov, A.S.
14 for Krylov, A.S.
Krylov, V.A.[Vladimir A.]
* 2012: Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test
* 2013: False discovery rate approach to image change detection
* 2013: Fast Road Network Extraction from Remotely Sensed Images
* 2013: On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation
* 2013: Stochastic Extraction of Elongated Curvilinear Structures in Mammographic Images
* 2014: Stochastic Extraction of Elongated Curvilinear Structures With Applications
* 2014: Supervised Classification of Multisensor and Multiresolution Remote Sensing Images With a Hierarchical Copula-Based Approach
* 2016: False Discovery Rate Approach to Unsupervised Image Change Detection
* 2016: Unsupervised Learning of Generalized Gamma Mixture Model With Application in Statistical Modeling of High-Resolution SAR Images
* 2018: Automatic Discovery and Geotagging of Objects from Street View Imagery
* 2018: Object Geolocation Using MRF Based Multi-Sensor Fusion
* 2020: IM2ELEVATION: Building Height Estimation from Single-View Aerial Imagery
* 2022: Harmonic convolutional networks based on discrete cosine transform
Includes: Krylov, V.A.[Vladimir A.] Krylov, V.A.
13 for Krylov, V.A.