Prof Vladimir Krylov

Publications by Vladimir Krylov

• Road Extraction and Road Width Estimation Via Fusion of Aerial Optical Imagery, Geospatial Data, and Street-Level Images

  PUBLICATION:	IGARSS 2021 - 41st International Geoscience and Remote Sensing Symposium
  AUTHOR(S):	Andrea Grillo, Vladimir Krylov, Gabriele Moser, Sebastiano Serpico
  DATE:	12 October 2021
  TYPE:	Conf papers

• Harmonic Networks with Limited Training Samples

  PUBLICATION:	EUSIPCO 2019 - 27th European Signal Processing Conference
  AUTHOR(S):	Matej Ulicny, Vladimir Krylov, Rozenn Dahyot
  DATE:	02 September 2019
  TYPE:	Conf papers

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

  PUBLICATION:	EUSIPCO 2019 - 27th European Signal Processing Conference
  AUTHOR(S):	F. Albluwi, Vladimir Krylov, Rozenn Dahyot
  DATE:	01 January 2019
  TYPE:	Conf papers

• Object Geolocation using MRF based Multi-Sensor Fusion 

  PUBLICATION:	ICIP 2018 - 25th IEEE International Conference on Image Processing
  AUTHOR(S):	Vladimir Krylov, Rozenn Dahyot
  DATE:	17 October 2018
  TYPE:	Conf papers

• Object Geolocation from Crowdsourced Street Level Imagery 

  PUBLICATION:	UrbReas 2018 - International Workshop on Urban Reasoning in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)
  AUTHOR(S):	Vladimir Krylov, Rozenn Dahyot
  DATE:	14 September 2018
  TYPE:	Conf papers

• Artifacts reduction in JPEG-Compressed Images using CNNs 

  PUBLICATION:	IMVIP 2018 - 20th Irish Machine Vision and Image Processing conference
  AUTHOR(S):	F. Albluwi, Vladimir Krylov, Rozenn Dahyot
  DATE:	29 August 2018
  TYPE:	Conf papers

• 3D point cloud segmentation using GIS 

  PUBLICATION:	IMVIP 2018 - 20th Irish Machine Vision and Image Processing conference
  AUTHOR(S):	C.-J. Liu, Vladimir Krylov, Rozenn Dahyot
  DATE:	29 August 2018
  TYPE:	Conf papers

• Automatic Discovery and Geotagging of Objects from Street View Imagery

  PUBLICATION:	Remote sensing
  AUTHOR(S):	Vladimir Krylov, Eamonn Kenny, Rozenn Dahyot
  DATE:	24 April 2018
  TYPE:	Journal Articles