Yuliya Tarabalka

According to our database1, Yuliya Tarabalka authored at least 79 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Automated Cartography of Buildings And Walls/Fences From Very High Resolution Satellite Imagery.
Proceedings of the IGARSS 2024, 2024

BrightEarth Roads: Towards Fully Automatic Road Network Extraction from Satellite Imagery.
Proceedings of the IGARSS 2024, 2024

SimpliCity: Reconstructing Buildings with Simple Regularized 3D Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
3D detection of roof sections from a single satellite image and application to LOD2-building reconstruction.
CoRR, 2023

Brightearth City Texturing : Faithful Procedural 3d Urban Modeling From Satellite and Ground Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Vector Maps Fusion for Reliable Mapping of Building Footprints.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

From Raster Predictions to Vector Layers of Buildings: A Computational Geometry Approach.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

An Enhanced Deep Learning Approach for Tectonic Fault and Fracture Extraction in Very High Resolution Optical Images.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
DAugNet: Unsupervised, Multisource, Multitarget, and Life-Long Domain Adaptation for Semantic Segmentation of Satellite Images.
IEEE Trans. Geosci. Remote. Sens., 2021

Rooftops or Footprints? Reliable Building Footprint Extraction From High-Resolution Satellite Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Polygonal Building Extraction by Frame Field Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks.
IEEE Trans. Geosci. Remote. Sens., 2020

U-Net-Id, an Instance Segmentation Model for Building Extraction from Satellite Images - Case Study in the Joanópolis City, Brazil.
Remote. Sens., 2020

Tree Crown Delineation Algorithm Based on a Convolutional Neural Network.
Remote. Sens., 2020

Deep Neural Networks for automatic extraction of features in time series satellite images.
CoRR, 2020

DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images.
CoRR, 2020

Polygonal Building Segmentation by Frame Field Learning.
CoRR, 2020

Operational Pipeline for Large-Scale 3D Reconstruction of Buildings From Satellite Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

SEMI2I: Semantically Consistent Image-to-Image Translation for Domain Adaptation of Remote Sensing Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Regularized Building Segmentation by Frame Field Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Input Similarity from the Neural Network Perspective.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Continual Learning for Dense Labeling of Satellite Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Multi-Task Deep Learning for Satellite Image Pansharpening and Segmentation.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Coarse to fine non-rigid registration: a chain of scale-specific neural networks for multimodal image alignment with application to remote sensing.
CoRR, 2018

Polygonization of Binary Classification Maps Using Mesh Approximation with Right Angle Regularity.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

End-to-End Learning of Polygons for Remote Sensing Image Classification.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Multimodal Image Alignment Through a Multiscale Chain of Neural Networks with Application to Remote Sensing.
Proceedings of the Computer Vision - ECCV 2018, 2018

Aligning and Updating Cadaster Maps with Aerial Images by Multi-task, Multi-resolution Deep Learning.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
High-Resolution Aerial Image Labeling With Convolutional Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2017

Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2017

Recurrent Neural Networks to Correct Satellite Image Classification Maps.
IEEE Trans. Geosci. Remote. Sens., 2017

High-resolution image classification with convolutional networks.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Polygonization of remote sensing classification maps by mesh approximation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Learning Approaches for Remote Sensing Image Classification.
, 2017

2016
High-Resolution Semantic Labeling with Convolutional Neural Networks.
CoRR, 2016

Recurrent Neural Networks to Enhance Satellite Image Classification Maps.
CoRR, 2016

Progressive Tree-like Curvilinear Structure Reconstruction with Structured Ranking Learning and Graph Algorithm.
CoRR, 2016

Fully convolutional neural networks for remote sensing image classification.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Dynamic Ensemble Selection Approach for Hyperspectral Image Classification With Joint Spectral and Spatial Information.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

A Nonparametric Growth Model for Brain Tumor Segmentation in Longitudinal MR Sequences.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Improved partition trees for multi-class segmentation of remote sensing images.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Stochastic model for curvilinear structure reconstruction using morphological profiles.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Optimizing Partition Trees for Multi-Object Segmentation with Shape Prior.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Spatio-Temporal Video Segmentation With Shape Growth or Shrinkage Constraint.
IEEE Trans. Image Process., 2014

Dynamic Block-Based Parameter Estimation for MRF Classification of High-Resolution Images.
IEEE Geosci. Remote. Sens. Lett., 2014

Graph-cut-based model for spectral-spatial classification of hyperspectral images.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Marked point process model for facial wrinkle detection.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Marked Point Process Model for Curvilinear Structures Extraction.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

2013
Advances in Spectral-Spatial Classification of Hyperspectral Images.
Proc. IEEE, 2013

A graph-cut-based method for spatio-temporal segmentation of fire from satellite observations.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation.
Proceedings of the British Machine Vision Conference, 2013

2012
Spectral-Spatial Classification of Hyperspectral Data Based on a Stochastic Minimum Spanning Forest Approach.
IEEE Trans. Image Process., 2012

Best Merge Region-Growing Segmentation With Integrated Nonadjacent Region Object Aggregation.
IEEE Trans. Geosci. Remote. Sens., 2012

A Marker-Based Approach for the Automated Selection of a Single Segmentation From a Hierarchical Set of Image Segmentations.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

Improved hierarchical optimization-based classification of hyperspectral images using shape analysis.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Shape-constrained segmentation approach for arctic multiyear sea ice floe analysis.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Spectral-spatial classification of hyperspectral images using hierarchical optimization.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

Best merge region growing with integrated probabilistic classification for hyperspectral imagery.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

A Stochastic Minimum Spanning Forest approach for spectral-spatial classification of hyperspectral images.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Marker-based Hierarchical Segmentation and classification approach for hyperspectral imagery.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Segmentation and Classification of Hyperspectral Images Using Minimum Spanning Forest Grown From Automatically Selected Markers.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Multiple Spectral-Spatial Classification Approach for Hyperspectral Data.
IEEE Trans. Geosci. Remote. Sens., 2010

Can you 'read' tongue movements? Evaluation of the contribution of tongue display to speech understanding.
Speech Commun., 2010

Segmentation and classification of hyperspectral images using watershed transformation.
Pattern Recognit., 2010

SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2010

A multiple classifier approach for spectral-spatial classification of hyperspectral data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
Spectral-Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques.
IEEE Trans. Geosci. Remote. Sens., 2009

Real-time anomaly detection in hyperspectral images using multivariate normal mixture models and GPU processing.
J. Real Time Image Process., 2009

Classification of hyperspectral images using automatic marker selection and Minimum Spanning Forest.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Classification based Marker Selection for Watershed Transform of Hyperspectral Images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2008
Can you "read tongue movements"?
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Parallel Processing for Normal Mixture Models of Hyperspectral Data Using a Graphics Processor.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Segmentation and Classification of Hyperspectral Data using Watershed.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

An Audiovisual Talking Head for Augmented Speech Generation: Models and Animations Based on a Real Speaker's Articulatory Data.
Proceedings of the Articulated Motion and Deformable Objects, 5th International Conference, 2008


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