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ORCIDYuliya Tarabalka
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2020 – today
- 2024
[c48]Jean-Philippe Bauchet, Raphael Sulzer, Florent Lafarge, Yuliya Tarabalka:
SimpliCity: Reconstructing Buildings with Simple Regularized 3D Models. CVPR Workshops 2024: 7616-7626- [c47]Nicolas Girard, Jawher Ben Abdallah, Willard Mapurisa, Arno Gobbin, Jean-Philippe Bauchet, Yuliya Tarabalka:
Automated Cartography of Buildings And Walls/Fences From Very High Resolution Satellite Imagery. IGARSS 2024: 8113-8117 - [c46]Liuyun Duan, Willard Mapurisa, Maxime Leras, Leigh Lotter, Yuliya Tarabalka:
BrightEarth Roads: Towards Fully Automatic Road Network Extraction from Satellite Imagery. IGARSS 2024: 9192-9196 - [i16]Jean-Philippe Bauchet, Raphael Sulzer, Florent Lafarge, Yuliya Tarabalka:
SimpliCity: Reconstructing Buildings with Simple Regularized 3D Models. CoRR abs/2404.08104 (2024) - [i15]Liuyun Duan, Willard Mapurisa, Maxime Leras, Leigh Lotter, Yuliya Tarabalka:
Brightearth roads: Towards fully automatic road network extraction from satellite imagery. CoRR abs/2406.14941 (2024) - 2023
- [c45]Nicolas Girard, Cedric Larrosa, Willard Mapurisa, Frederic Trastour, Yuliya Tarabalka:
Brightearth City Texturing : Faithful Procedural 3d Urban Modeling From Satellite and Ground Imagery. IGARSS 2023: 5599-5602 - [i14]Johann Lussange, Mulin Yu, Yuliya Tarabalka, Florent Lafarge:
3D detection of roof sections from a single satellite image and application to LOD2-building reconstruction. CoRR abs/2307.05409 (2023) - 2022
- [c44]Bilel Kanoun, Mohamed Abderrazak Cherif, Isabelle Manighetti, Yuliya Tarabalka, Josiane Zerubia
:
An Enhanced Deep Learning Approach for Tectonic Fault and Fracture Extraction in Very High Resolution Optical Images. ICASSP 2022: 3403-3407 - [c43]Mohamed Abderrazak Cherif, Jean-Philippe Bauchet, Yuliya Tarabalka, Isabelle Manighetti:
Vector Maps Fusion for Reliable Mapping of Building Footprints. IGARSS 2022: 115-118 - [c42]Jean-Philippe Bauchet, Arno Gobbin, Yuliya Tarabalka:
From Raster Predictions to Vector Layers of Buildings: A Computational Geometry Approach. IGARSS 2022: 795-798 - 2021
- [j22]Onur Tasar, Alain Giros, Yuliya Tarabalka, Pierre Alliez, Sébastien Clerc:
DAugNet: Unsupervised, Multisource, Multitarget, and Life-Long Domain Adaptation for Semantic Segmentation of Satellite Images. IEEE Trans. Geosci. Remote. Sens. 59(2): 1067-1081 (2021) - [c41]Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka:
Polygonal Building Extraction by Frame Field Learning. CVPR 2021: 5891-5900 - [c40]Jean-Philippe Bauchet, Willard Mapurisa, Arno Gobbin, Sébastien Tripodi, Yuliya Tarabalka, Liuyun Duan, Lionel Laurore:
Rooftops or Footprints? Reliable Building Footprint Extraction From High-Resolution Satellite Images. IGARSS 2021: 274-277 - [i13]Guillaume Charpiat, Nicolas Girard, Loris Felardos, Yuliya Tarabalka:
Input Similarity from the Neural Network Perspective. CoRR abs/2102.05262 (2021) - 2020
- [j21]José R. G. Braga, Vinícius Peripato, Ricardo Dalagnol, Matheus Pinheiro Ferreira, Yuliya Tarabalka, Luiz E. O. C. Aragão, Haroldo F. de Campos Velho, Elcio H. Shiguemori, Fabien Hubert Wagner:
Tree Crown Delineation Algorithm Based on a Convolutional Neural Network. Remote. Sens. 12(8): 1288 (2020) - [j20]Fabien Hubert Wagner, Ricardo Dalagnol, Yuliya Tarabalka, Tassiana Y. F. Segantine, Rogério Thomé, Mayumi C. M. Hirye:
U-Net-Id, an Instance Segmentation Model for Building Extraction from Satellite Images - Case Study in the Joanópolis City, Brazil. Remote. Sens. 12(10): 1544 (2020) - [j19]Onur Tasar, S. L. Happy, Yuliya Tarabalka, Pierre Alliez:
ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks. IEEE Trans. Geosci. Remote. Sens. 58(10): 7178-7193 (2020) - [c39]Onur Tasar, Yuliya Tarabalka, Alain Giros, Pierre Alliez, Sébastien Clerc:
StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization. CVPR Workshops 2020: 747-756 - [c38]Sébastien Tripodi, Liuyun Duan, Veronique Poujade, Frederic Trastour, Jean-Philippe Bauchet, Lionel Laurore, Yuliya Tarabalka:
Operational Pipeline for Large-Scale 3D Reconstruction of Buildings From Satellite Images. IGARSS 2020: 445-448 - [c37]Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka:
Regularized Building Segmentation by Frame Field Learning. IGARSS 2020: 1805-1808 - [c36]Onur Tasar, S. L. Happy, Yuliya Tarabalka, Pierre Alliez:
SEMI2I: Semantically Consistent Image-to-Image Translation for Domain Adaptation of Remote Sensing Data. IGARSS 2020: 1837-1840 - [i12]Onur Tasar, S. L. Happy, Yuliya Tarabalka, Pierre Alliez:
SemI2I: Semantically Consistent Image-to-Image Translation for Domain Adaptation of Remote Sensing Data. CoRR abs/2002.05925 (2020) - [i11]Onur Tasar, Yuliya Tarabalka, Alain Giros, Pierre Alliez, Sébastien Clerc:
StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization. CoRR abs/2004.06402 (2020) - [i10]Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka:
Polygonal Building Segmentation by Frame Field Learning. CoRR abs/2004.14875 (2020) - [i9]Onur Tasar, Alain Giros, Yuliya Tarabalka, Pierre Alliez, Sébastien Clerc:
DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images. CoRR abs/2005.06216 (2020) - [i8]Gael Kamdem De Teyou, Yuliya Tarabalka, Isabelle Manighetti, Rafael Almar, Sébastien Tripodi:
Deep Neural Networks for automatic extraction of features in time series satellite images. CoRR abs/2008.08432 (2020)
2010 – 2019
- 2019
- [j18]Onur Tasar, Yuliya Tarabalka, Pierre Alliez:
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(9): 3524-3537 (2019) - [c35]Andrew Khalel, Onur Tasar, Guillaume Charpiat, Yuliya Tarabalka:
Multi-Task Deep Learning for Satellite Image Pansharpening and Segmentation. IGARSS 2019: 4869-4872 - [c34]Onur Tasar, Yuliya Tarabalka, Pierre Alliez:
Continual Learning for Dense Labeling of Satellite Images. IGARSS 2019: 4943-4946 - [c33]Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka:
Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data. IGARSS 2019: 10103-10106 - [c32]Guillaume Charpiat, Nicolas Girard, Loris Felardos, Yuliya Tarabalka:
Input Similarity from the Neural Network Perspective. NeurIPS 2019: 5343-5352 - [i7]Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka:
Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data. CoRR abs/1903.06529 (2019) - [i6]Onur Tasar, S. L. Happy, Yuliya Tarabalka, Pierre Alliez:
ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks. CoRR abs/1907.12859 (2019) - 2018
- [c31]Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka:
Aligning and Updating Cadaster Maps with Aerial Images by Multi-task, Multi-resolution Deep Learning. ACCV (5) 2018: 675-690 - [c30]Armand Zampieri, Guillaume Charpiat, Nicolas Girard, Yuliya Tarabalka:
Multimodal Image Alignment Through a Multiscale Chain of Neural Networks with Application to Remote Sensing. ECCV (16) 2018: 679-696 - [c29]Nicolas Girard, Yuliya Tarabalka:
End-to-End Learning of Polygons for Remote Sensing Image Classification. IGARSS 2018: 2083-2086 - [c28]Onur Tasar, Emmanuel Maggiori, Pierre Alliez, Yuliya Tarabalka:
Polygonization of Binary Classification Maps Using Mesh Approximation with Right Angle Regularity. IGARSS 2018: 6404-6407 - [c27]Bohao Huang, Kangkang Lu, Nicolas Audebert, Andrew Khalel, Yuliya Tarabalka, Jordan M. Malof, Alexandre Boulch, Bertrand Le Saux, Leslie M. Collins, Kyle Bradbury, Sébastien Lefèvre, Motaz El-Saban:
Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. IGARSS 2018: 6947-6950 - [i5]Armand Zampieri, Guillaume Charpiat, Yuliya Tarabalka:
Coarse to fine non-rigid registration: a chain of scale-specific neural networks for multimodal image alignment with application to remote sensing. CoRR abs/1802.09816 (2018) - [i4]Onur Tasar, Yuliya Tarabalka, Pierre Alliez:
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data. CoRR abs/1810.12448 (2018) - 2017
- [b1]Yuliya Tarabalka:
Learning Approaches for Remote Sensing Image Classification. University of Côte d'Azur, France, 2017 - [j17]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez:
Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(2): 645-657 (2017) - [j16]Emmanuel Maggiori, Guillaume Charpiat, Yuliya Tarabalka, Pierre Alliez:
Recurrent Neural Networks to Correct Satellite Image Classification Maps. IEEE Trans. Geosci. Remote. Sens. 55(9): 4962-4971 (2017) - [j15]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez:
High-Resolution Aerial Image Labeling With Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 55(12): 7092-7103 (2017) - [c26]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez:
Polygonization of remote sensing classification maps by mesh approximation. ICIP 2017: 560-564 - [c25]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez:
Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark. IGARSS 2017: 3226-3229 - [c24]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez:
High-resolution image classification with convolutional networks. IGARSS 2017: 5157-5160 - 2016
- [c23]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez:
Fully convolutional neural networks for remote sensing image classification. IGARSS 2016: 5071-5074 - [i3]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez:
Recurrent Neural Networks to Enhance Satellite Image Classification Maps. CoRR abs/1608.03440 (2016) - [i2]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez:
High-Resolution Semantic Labeling with Convolutional Neural Networks. CoRR abs/1611.01962 (2016) - [i1]Seong-Gyun Jeong, Yuliya Tarabalka, Nicolas Nisse, Josiane Zerubia:
Progressive Tree-like Curvilinear Structure Reconstruction with Structured Ranking Learning and Graph Algorithm. CoRR abs/1612.02631 (2016) - 2015
- [j14]Bharath Bhushan Damodaran, Rama Rao Nidamanuri, Yuliya Tarabalka:
Dynamic Ensemble Selection Approach for Hyperspectral Image Classification With Joint Spectral and Spatial Information. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2405-2417 (2015) - [c22]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat:
Optimizing Partition Trees for Multi-Object Segmentation with Shape Prior. BMVC 2015: 64.1-64.12 - [c21]Seong-Gyun Jeong, Yuliya Tarabalka, Josiane Zerubia:
Stochastic model for curvilinear structure reconstruction using morphological profiles. ICIP 2015: 3575-3579 - [c20]Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat:
Improved partition trees for multi-class segmentation of remote sensing images. IGARSS 2015: 1016-1019 - [c19]Esther Alberts, Guillaume Charpiat, Yuliya Tarabalka, Thomas Huber, Marc-André Weber, Jan S. Bauer, Claus Zimmer, Bjoern H. Menze:
A Nonparametric Growth Model for Brain Tumor Segmentation in Longitudinal MR Sequences. Brainles@MICCAI 2015: 69-79 - 2014
- [j13]Hossein Aghighi, John C. Trinder, Yuliya Tarabalka, Samsung Lim:
Dynamic Block-Based Parameter Estimation for MRF Classification of High-Resolution Images. IEEE Geosci. Remote. Sens. Lett. 11(10): 1687-1691 (2014) - [j12]Yuliya Tarabalka, Guillaume Charpiat, Ludovic Brucker, Bjoern H. Menze:
Spatio-Temporal Video Segmentation With Shape Growth or Shrinkage Constraint. IEEE Trans. Image Process. 23(9): 3829-3840 (2014) - [c18]Seong-Gyun Jeong, Yuliya Tarabalka, Josiane Zerubia:
Marked Point Process Model for Curvilinear Structures Extraction. EMMCVPR 2014: 436-449 - [c17]Seong-Gyun Jeong, Yuliya Tarabalka, Josiane Zerubia:
Marked point process model for facial wrinkle detection. ICIP 2014: 1391-1394 - [c16]Yuliya Tarabalka, Aakanksha Rana:
Graph-cut-based model for spectral-spatial classification of hyperspectral images. IGARSS 2014: 3418-3421 - 2013
- [j11]Mathieu Fauvel, Yuliya Tarabalka, Jón Atli Benediktsson, Jocelyn Chanussot, James C. Tilton:
Advances in Spectral-Spatial Classification of Hyperspectral Images. Proc. IEEE 101(3): 652-675 (2013) - [c15]Yuliya Tarabalka, Guillaume Charpiat, Ludovic Brucker, Bjoern H. Menze:
Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation. BMVC 2013 - [c14]Yuliya Tarabalka, Guillaume Charpiat:
A graph-cut-based method for spatio-temporal segmentation of fire from satellite observations. IGARSS 2013: 3494-3497 - 2012
- [j10]Yuliya Tarabalka, James C. Tilton, Jón Atli Benediktsson, Jocelyn Chanussot:
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. 5(1): 262-272 (2012) - [j9]James C. Tilton, Yuliya Tarabalka, Paul M. Montesano, Emanuel Gofman:
Best Merge Region-Growing Segmentation With Integrated Nonadjacent Region Object Aggregation. IEEE Trans. Geosci. Remote. Sens. 50(11): 4454-4467 (2012) - [j8]Kévin Bernard, Yuliya Tarabalka, Jesús Angulo, Jocelyn Chanussot, Jón Atli Benediktsson:
Spectral-Spatial Classification of Hyperspectral Data Based on a Stochastic Minimum Spanning Forest Approach. IEEE Trans. Image Process. 21(4): 2008-2021 (2012) - [c13]Yuliya Tarabalka, James C. Tilton:
Improved hierarchical optimization-based classification of hyperspectral images using shape analysis. IGARSS 2012: 1409-1412 - [c12]Yuliya Tarabalka, Ludovic Brucker, Alvaro Ivanoff, James C. Tilton:
Shape-constrained segmentation approach for arctic multiyear sea ice floe analysis. IGARSS 2012: 4958-4961 - 2011
- [c11]Yuliya Tarabalka, James C. Tilton, Jón Atli Benediktsson, Jocelyn Chanussot:
Marker-based Hierarchical Segmentation and classification approach for hyperspectral imagery. ICASSP 2011: 1089-1092 - [c10]Kévin Bernard, Yuliya Tarabalka, Jesús Angulo, Jocelyn Chanussot, Jón Atli Benediktsson:
A Stochastic Minimum Spanning Forest approach for spectral-spatial classification of hyperspectral images. ICIP 2011: 1265-1268 - [c9]Yuliya Tarabalka, James C. Tilton:
Best merge region growing with integrated probabilistic classification for hyperspectral imagery. IGARSS 2011: 3724-3727 - [c8]Yuliya Tarabalka, James C. Tilton:
Spectral-spatial classification of hyperspectral images using hierarchical optimization. WHISPERS 2011: 1-4 - 2010
- [j7]Yuliya Tarabalka, Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson:
SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 7(4): 736-740 (2010) - [j6]Yuliya Tarabalka, Jocelyn Chanussot, Jón Atli Benediktsson:
Segmentation and classification of hyperspectral images using watershed transformation. Pattern Recognit. 43(7): 2367-2379 (2010) - [j5]Pierre Badin, Yuliya Tarabalka, Frédéric Elisei, Gérard Bailly:
Can you 'read' tongue movements? Evaluation of the contribution of tongue display to speech understanding. Speech Commun. 52(6): 493-503 (2010) - [j4]Yuliya Tarabalka, Jón Atli Benediktsson, Jocelyn Chanussot, James C. Tilton:
Multiple Spectral-Spatial Classification Approach for Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 48(11): 4122-4132 (2010) - [j3]Yuliya Tarabalka, Jocelyn Chanussot, Jón Atli Benediktsson:
Segmentation and Classification of Hyperspectral Images Using Minimum Spanning Forest Grown From Automatically Selected Markers. IEEE Trans. Syst. Man Cybern. Part B 40(5): 1267-1279 (2010) - [c7]Yuliya Tarabalka, Jón Atli Benediktsson, Jocelyn Chanussot, James C. Tilton:
A multiple classifier approach for spectral-spatial classification of hyperspectral data. IGARSS 2010: 1410-1413
2000 – 2009
- 2009
- [j2]Yuliya Tarabalka, Trym Vegard Haavardsholm, Ingebjørg Kåsen, Torbjørn Skauli:
Real-time anomaly detection in hyperspectral images using multivariate normal mixture models and GPU processing. J. Real Time Image Process. 4(3): 287-300 (2009) - [j1]Yuliya Tarabalka, Jón Atli Benediktsson, Jocelyn Chanussot:
Spectral-Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques. IEEE Trans. Geosci. Remote. Sens. 47(8-2): 2973-2987 (2009) - [c6]Yuliya Tarabalka, Jocelyn Chanussot, Jón Atli Benediktsson:
Classification based Marker Selection for Watershed Transform of Hyperspectral Images. IGARSS (3) 2009: 105-108 - [c5]Yuliya Tarabalka, Jocelyn Chanussot, Jón Atli Benediktsson:
Classification of hyperspectral images using automatic marker selection and Minimum Spanning Forest. WHISPERS 2009: 1-4 - 2008
- [c4]Pierre Badin, Frédéric Elisei, Gérard Bailly, Yuliya Tarabalka:
An Audiovisual Talking Head for Augmented Speech Generation: Models and Animations Based on a Real Speaker's Articulatory Data. AMDO 2008: 132-143 - [c3]Yuliya Tarabalka, Jocelyn Chanussot, Jón Atli Benediktsson, Jesús Angulo, Mathieu Fauvel:
Segmentation and Classification of Hyperspectral Data using Watershed. IGARSS (3) 2008: 652-655 - [c2]Yuliya Tarabalka, Trym Vegard Haavardsholm, Ingebjørg Kåsen, Torbjørn Skauli:
Parallel Processing for Normal Mixture Models of Hyperspectral Data Using a Graphics Processor. IGARSS (2) 2008: 990-993 - [c1]Pierre Badin, Yuliya Tarabalka, Frédéric Elisei, Gérard Bailly:
Can you "read tongue movements"? INTERSPEECH 2008: 2635-2638
Coauthor Index
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