V. Krylov

发表

Image Deblurring and Super-Resolution Using Deep Convolutional Neural Networks

Rozenn Dahyot, Vladimir A. Krylov, Fatma Albluwi, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

Modeling the Statistics of High Resolution Sar Images Modeling the Statistics of High Resolution Sar Images Modélisation Des Statistiques Des Images Radar (rso) Haute Résolution

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2022 .

Probability Density Function Estimation for Classification of High Resolution SAR Images

J. Zerubia, V. Krylov, G. Moser, 2012 .

Probability Density Function Estimation for Classification of High Resolution SAR Images

J. Zerubia, V. Krylov, G. Moser, 2012 .

Multichannel SAR Image Classification by Finite Mixtures, Copula Theory and Markov Random Fields

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2011 .

Local characteristics of a gas-liquid layer in a sectionalized bubble reactor

V. Krylov, A. Abishev, S. Zagidullin, 2013, Chemistry and Technology of Fuels and Oils.

Multiscale classification of very high resolution SAR images of urban areas by Markov random fields, copula functions, and texture extraction

J. Zerubia, V. Krylov, G. Moser, 2012 .

Approximating the synthetic aperture radar image amplitude distribution by finite mixtures

V. Krylov, 2010 .

The oscillator approach in the mean field model of the highly ordered Langmuir monolayer

V. Krylov, S. Balashov, 1994 .

Harmonic Convolutional Networks based on Discrete Cosine Transform pdf

Rozenn Dahyot, Matej Ulicny, Vladimir A. Krylov, 2020, Pattern Recognit..

Harmonic Networks with Limited Training Samples

Rozenn Dahyot, Matej Ulicny, Vladimir A. Krylov, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Harmonic Networks for Image Classification

Rozenn Dahyot, Matej Ulicny, Vladimir A. Krylov, 2019, BMVC.

Harmonic Networks: Integrating Spectral Information into CNNs pdf

Rozenn Dahyot, Matej Ulicny, Vladimir A. Krylov, 2018, ArXiv.

Unsupervised Learning of Generalized Gamma Mixture Model With Application in Statistical Modeling of High-Resolution SAR Images

William J. Emery, Josiane Zerubia, Heng-Chao Li, 2016, IEEE Transactions on Geoscience and Remote Sensing.

On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2013, IEEE Transactions on Image Processing.

Generalized gamma mixtures for supervised SAR image classification

Vladimir A. Krylov, V. Krylov, 2010 .

Super-Resolution on Degraded Low-Resolution Images Using Convolutional Neural Networks

Rozenn Dahyot, Vladimir A. Krylov, Fatma Albluwi, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Optical spectra of off-centre Ni2+ ions in SrO

V. Krylov, L. S. Sochava, W. Ulrici, 1979 .

Determination of the probability of spontaneous fracture of metal from the acoustic emission spectrum at the prefracture stage

V. Krylov, 2007 .

The URBIS project: Vacant urban area classification and detection of changes

Gabriele Moser, Sebastiano B. Serpico, Vladimir A. Krylov, 2015, 2015 Joint Urban Remote Sensing Event (JURSE).

Object Geolocation from Crowdsourced Street Level Imagery

Rozenn Dahyot, Vladimir A. Krylov, V. Krylov, 2018, Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML.

Automatic Discovery and Geotagging of Objects from Street View Imagery pdf

Rozenn Dahyot, Vladimir A. Krylov, Eamonn Kenny, 2017, Remote. Sens..

Monitoring of green, open and sealed urban space

Gabriele Moser, Sebastiano B. Serpico, Vladimir A. Krylov, 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

Remote Sensing Data Fusion: Markov Models and Mathematical Morphology for Multisensor, Multiresolution, and Multiscale Image Classification

Jon Atli Benediktsson, Gabriele Moser, Sebastiano B. Serpico, 2018 .

IM2ELEVATION: Building Height Estimation from Single-View Aerial Imagery

Rozenn Dahyot, Vladimir A. Krylov, Chao-Jung Liu, 2020, Remote. Sens..

Synthetic aperture radar image classification via mixture approaches

Josiane Zerubia, Vladimir A. Krylov, J. Zerubia, 2011, 2011 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS 2011).

Dictionary-based probability density function estimation for high-resolution SAR data

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2009, Electronic Imaging.

Enhanced Dictionary-Based SAR Amplitude Distribution Estimation and Its Validation With Very High-Resolution Data

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2011, IEEE Geoscience and Remote Sensing Letters.

Trinity College Dublin Drone Survey Dataset

David Moloney, Rozenn Dahyot, Vladimir A. Krylov, 2017 .

3D point cloud segmentation using GIS pdf

Rozenn Dahyot, Chao-Jung Liu, Vladimir Krylov, 2021, ArXiv.

Object Geolocation Using MRF Based Multi-Sensor Fusion

Rozenn Dahyot, Vladimir A. Krylov, V. Krylov, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Influence of an electric field on the Jahn‐Teller split absorption band 4A2g → 4T1g(P) of Co2+ in CdF2 and CaF2

V. Krylov, W. Ulrici, 1977 .

False Discovery Rate Approach to Unsupervised Image Change Detection

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2016, IEEE Transactions on Image Processing.

False discovery rate approach to image change detection

J. Zerubia, V. Krylov, G. Moser, 2013, ICIP.

Stochastic Extraction of Elongated Curvilinear Structures With Applications

Vladimir A. Krylov, James D. B. Nelson, V. Krylov, 2014, IEEE Transactions on Image Processing.

Unsupervised Classification of SAR Images Using Hierarchical Agglomeration and EM

Josiane Zerubia, Vladimir A. Krylov, Koray Kayabol, 2011, MUSCLE.

Denoising RENOIR Image Dataset with DBSR

Rozenn Dahyot, Vladimir A. Krylov, Fatma Albluwi, 2019 .

Classification of very high resolution SAR images of urban areas

J. Zerubia, V. Krylov, G. Moser, 2011 .

Image Deblurring and Super-Resolution Using Deep Convolutional Neural Networks

Fatma Albluwi, V. Krylov, Rozenn Dahyot, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

Classification of Very High Resolution SAR Images of Urban Areas Using Copulas and Texture in a Hierarchical Markov Random Field Model

Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia, 2013, IEEE Geoscience and Remote Sensing Letters.

On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation

V. Krylov, G. Moser, S. Serpico, 2013, IEEE Transactions on Image Processing.