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Vladimir A. Krylov
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2020 – today
- 2023
- [i7]Matej Ulicny, Vladimir A. Krylov, Julie Connelly, Rozenn Dahyot
:
Combining geolocation and height estimation of objects from street level imagery. CoRR abs/2305.08232 (2023) - 2022
- [j11]Matej Ulicny
, Vladimir A. Krylov, Rozenn Dahyot
:
Harmonic convolutional networks based on discrete cosine transform. Pattern Recognit. 129: 108707 (2022) - 2021
- [c22]Matej Ulicny
, Vladimir A. Krylov, Rozenn Dahyot
:
Tensor Reordering for CNN Compression. ICASSP 2021: 3930-3934 - [c21]Andrea Grillo, Vladimir A. Krylov, Gabriele Moser, Sebastiano B. Serpico:
Road Extraction and Road Width Estimation Via Fusion of Aerial Optical Imagery, Geospatial Data, and Street-Level Images. IGARSS 2021: 2413-2416 - [i6]Chao-Jung Liu, Vladimir A. Krylov, Rozenn Dahyot:
3D point cloud segmentation using GIS. CoRR abs/2108.06306 (2021) - 2020
- [j10]Chao-Jung Liu, Vladimir A. Krylov
, Paul Kane, Geraldine Kavanagh, Rozenn Dahyot
:
IM2ELEVATION: Building Height Estimation from Single-View Aerial Imagery. Remote. Sens. 12(17): 2719 (2020) - [i5]Matej Ulicny, Vladimir A. Krylov, Rozenn Dahyot:
Harmonic Convolutional Networks based on Discrete Cosine Transform. CoRR abs/2001.06570 (2020) - [i4]Matej Ulicny, Vladimir A. Krylov, Rozenn Dahyot:
Tensor Reordering for CNN Compression. CoRR abs/2010.12110 (2020)
2010 – 2019
- 2019
- [c20]Matej Ulicny, Vladimir A. Krylov, Rozenn Dahyot
:
Harmonic Networks for Image Classification. BMVC 2019: 202 - [c19]Fatma Albluwi, Vladimir A. Krylov, Rozenn Dahyot
:
Super-Resolution on Degraded Low-Resolution Images Using Convolutional Neural Networks. EUSIPCO 2019: 1-5 - [c18]Matej Ulicny
, Vladimir A. Krylov, Rozenn Dahyot
:
Harmonic Networks with Limited Training Samples. EUSIPCO 2019: 1-5 - [i3]Matej Ulicny, Vladimir A. Krylov, Rozenn Dahyot
:
Harmonic Networks with Limited Training Samples. CoRR abs/1905.00135 (2019) - 2018
- [j9]Vladimir A. Krylov
, Eamonn Kenny
, Rozenn Dahyot
:
Automatic Discovery and Geotagging of Objects from Street View Imagery. Remote. Sens. 10(5): 661 (2018) - [c17]Vladimir A. Krylov, Rozenn Dahyot
:
Object Geolocation Using MRF Based Multi-Sensor Fusion. ICIP 2018: 2745-2749 - [c16]Fatma Albluwi, Vladimir A. Krylov, Rozenn Dahyot
:
Image Deblurring and Super-Resolution Using Deep Convolutional Neural Networks. MLSP 2018: 1-6 - [c15]Vladimir A. Krylov, Rozenn Dahyot
:
Object Geolocation from Crowdsourced Street Level Imagery. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: 79-83 - [i2]Matej Ulicny, Vladimir A. Krylov, Rozenn Dahyot:
Harmonic Networks: Integrating Spectral Information into CNNs. CoRR abs/1812.03205 (2018) - 2017
- [c14]Katerina Jupova, T. Bartalos, Tomás Soukup, Gabriele Moser
, Sebastiano B. Serpico, Vladimir A. Krylov
, Michaela De Martino, N. Manzke, N. Rochard:
Monitoring of green, open and sealed urban space. JURSE 2017: 1-4 - [i1]Vladimir A. Krylov, Eamonn Kenny, Rozenn Dahyot
:
Automatic Discovery and Geotagging of Objects from Street View Imagery. CoRR abs/1708.08417 (2017) - 2016
- [j8]Heng-Chao Li, Vladimir A. Krylov
, Ping-Zhi Fan, Josiane Zerubia
, William J. Emery:
Unsupervised Learning of Generalized Gamma Mixture Model With Application in Statistical Modeling of High-Resolution SAR Images. IEEE Trans. Geosci. Remote. Sens. 54(4): 2153-2170 (2016) - [j7]Vladimir A. Krylov
, Gabriele Moser
, Sebastiano B. Serpico, Josiane Zerubia
:
False Discovery Rate Approach to Unsupervised Image Change Detection. IEEE Trans. Image Process. 25(10): 4704-4718 (2016) - [c13]Vladimir A. Krylov
, Michaela De Martino, Gabriele Moser
, Sebastiano B. Serpico:
Large urban zone classification on SPOT-5 imagery with convolutional neural networks. IGARSS 2016: 1796-1799 - [c12]Fabrizio Crismer, Gabriele Moser
, Vladimir A. Krylov
, Sebastiano B. Serpico:
Unsupervised change detection on synthetic aperture radar images with generalized gamma distribution. IGARSS 2016: 3350-3353 - 2015
- [c11]Gabriele Moser
, Vladimir A. Krylov
, Michaela De Martino, Sebastiano B. Serpico:
The URBIS project: Vacant urban area classification and detection of changes. JURSE 2015: 1-4 - 2014
- [j6]Aurélie Voisin, Vladimir A. Krylov
, Gabriele Moser
, Sebastiano B. Serpico, Josiane Zerubia
:
Supervised Classification of Multisensor and Multiresolution Remote Sensing Images With a Hierarchical Copula-Based Approach. IEEE Trans. Geosci. Remote. Sens. 52(6): 3346-3358 (2014) - [j5]Vladimir A. Krylov
, James D. B. Nelson:
Stochastic Extraction of Elongated Curvilinear Structures With Applications. IEEE Trans. Image Process. 23(12): 5360-5373 (2014) - 2013
- [j4]Aurélie Voisin, Vladimir A. Krylov
, Gabriele Moser
, Sebastiano B. Serpico, Josiane Zerubia
:
Classification of Very High Resolution SAR Images of Urban Areas Using Copulas and Texture in a Hierarchical Markov Random Field Model. IEEE Geosci. Remote. Sens. Lett. 10(1): 96-100 (2013) - [j3]Vladimir A. Krylov
, Gabriele Moser
, Sebastiano B. Serpico, Josiane Zerubia
:
On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation. IEEE Trans. Image Process. 22(10): 3791-3806 (2013) - [c10]Vladimir A. Krylov
, James D. B. Nelson:
Fast Road Network Extraction from Remotely Sensed Images. ACIVS 2013: 227-237 - [c9]Vladimir A. Krylov
, Stuart Taylor
, James D. B. Nelson:
Stochastic Extraction of Elongated Curvilinear Structures in Mammographic Images. ICIAR 2013: 475-484 - [c8]Vladimir A. Krylov
, Gabriele Moser
, Sebastiano B. Serpico, Josiane Zerubia
:
False discovery rate approach to image change detection. ICIP 2013: 3820-3824 - 2012
- [c7]Aurélie Voisin, Vladimir A. Krylov
, Gabriele Moser
, Sebastiano B. Serpico, Josiane Zerubia
:
Multichannel hierarchical image classification using multivariate copulas. Computational Imaging 2012: 82960K - [c6]Aurélie Voisin, Vladimir A. Krylov, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia
:
Classification of multi-sensor remote sensing images using an adaptive hierarchical Markovian model. EUSIPCO 2012: 2511-2515 - [c5]Vladimir A. Krylov
, Gabriele Moser
, Aurélie Voisin, Sebastiano B. Serpico, Josiane Zerubia
:
Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test. ICIP 2012: 2093-2096 - [c4]Sebastiano B. Serpico, Lorenzo Bruzzone
, Giovanni Corsini
, William J. Emery
, Paolo Gamba
, Andrea Garzelli
, Grégoire Mercier, Josiane Zerubia
, Nicola Acito, Bruno Aiazzi
, Francesca Bovolo
, Fabio Dell'Acqua, Michaela De Martino, Marco Diani
, Vladimir A. Krylov
, Gianni Lisini, Carlo Marin, Gabriele Moser
, Aurélie Voisin, Claudia Zoppetti:
Development and validation of multitemporal image analysis methodologies for multirisk monitoring of critical structures and infrastructures. IGARSS 2012: 5506-5509 - 2011
- [j2]Vladimir A. Krylov
, Gabriele Moser
, Sebastiano B. Serpico, Josiane Zerubia
:
Supervised High-Resolution Dual-Polarization SAR Image Classification by Finite Mixtures and Copulas. IEEE J. Sel. Top. Signal Process. 5(3): 554-566 (2011) - [j1]Vladimir A. Krylov
, Gabriele Moser
, Sebastiano B. Serpico, Josiane Zerubia
:
Enhanced Dictionary-Based SAR Amplitude Distribution Estimation and Its Validation With Very High-Resolution Data. IEEE Geosci. Remote. Sens. Lett. 8(1): 148-152 (2011) - [c3]Koray Kayabol, Vladimir A. Krylov
, Josiane Zerubia
:
Unsupervised Classification of SAR Images Using Hierarchical Agglomeration and EM. MUSCLE 2011: 54-65 - 2010
- [c2]Gabriele Moser
, Vladimir A. Krylov
, Sebastiano B. Serpico, Josiane Zerubia
:
High resolution SAR-image classification by Markov random fields and finite mixtures. Computational Imaging 2010: 753308
2000 – 2009
- 2009
- [c1]Vladimir A. Krylov
, Gabriele Moser
, Sebastiano B. Serpico, Josiane Zerubia
:
Dictionary-based probability density function estimation for high-resolution SAR data. Computational Imaging 2009: 72460
Coauthor Index
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