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CR2, INRIA Sophia Antipolis
Keywords: Image processing, Supervised and unsupervised classification, Hierarchical models, Segmentation, High-performance computing Contact: |
Abstract:
My work deals with the development of spatio-temporal models and methods for analysis and classification of very high-resolution imagery, with application to remote sensing images and dermato/cosmetology.
Short Bio:
Dr. Yuliya Tarabalka received the B.S. degree in computer science from Ternopil Ivan Pul’uj State Technical University, Ukraine, in 2005, M.Sc. degree in signal and image processing from the Grenoble Institute of Technology (INPG), France, in 2007, Ph.D. degree with European label in signal and image processing from INPG, and the Ph.D. degree in electrical engineering from the University of Iceland, in 2010.
From July 2007 to January 2008, she was a Researcher with the Norwegian Defence Research Establishment, Norway. From September 2010 to December 2011, she was a Postdoctoral research fellow with CISTO, NASA Goddard Space Flight Center, Greenbelt, MD, USA. From January 2012 to August 2012, she was a Postdoctoral research fellow with the INRIA Sophia Antipolis – Méditerranée, team AYIN, France, financed by the French space agency CNES. She is currently a CR2 in this team. Her research interests are in the areas of image analysis and signal processing, pattern recognition, remote sensing, imaging spectroscopy, and high-performance computing.
Last publications:
2016
Preprints, Working Papers, …
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- Seong-Gyun Jeong, Yuliya Tarabalka, Nicolas Nisse, Josiane Zerubia. Progressive Tree-like Curvilinear Structure Reconstruction with Structured Ranking Learning and Graph Algorithm. 2016. ⟨hal-01414864⟩
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2015
Journal articles
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- Hossein Aghighi, John Trinder, Samsung Lim, Yuliya Tarabalka. Fully spatially adaptive smoothing parameter estimation for Markov random field super-resolution mapping of remotely sensed images. International Journal of Remote Sensing, 2015, 36 (11), pp.2851-2879. ⟨10.1080/01431161.2015.1049381⟩. ⟨hal-01159037⟩
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- Bharath Bhushan Damodaran, Rama Rao Nidamanuri, Yuliya Tarabalka. Dynamic Ensemble Selection Approach for Hyperspectral Image Classification With Joint Spectral and Spatial Information. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8 (6), pp.2405-2417. ⟨10.1109/JSTARS.2015.2407493⟩. ⟨hal-01184338⟩
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Conference papers
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- Seong-Gyun Jeong, Yuliya Tarabalka, Josiane Zerubia. Stochastic model for curvilinear structure reconstruction using morphological profiles. ICIP 2015 – IEEE International Conference on Image Processing, IEEE, Sep 2015, Quebec City, Canada. ⟨hal-01152932⟩
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- Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat. Optimizing Partition Trees for Multi-Object Segmentation with Shape Prior. 26th British Machine Vision Conference, Sep 2015, Swansea, United Kingdom. ⟨hal-01182776⟩
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- Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat. Improved Partition Trees for Multi-Class Segmentation of Remote Sensing Images. 2015 IEEE International Geoscience and Remote Sensing Symposium – IGARSS 2015, IEEE, Jul 2015, Milan, Italy. ⟨hal-01182772⟩
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- Seong-Gyun Jeong, Yuliya Tarabalka, Josiane Zerubia. Marked Point Process Model for Curvilinear Structures Extraction. EMMCVPR 2015, Jan 2015, Hong Kong, Hong Kong SAR China. pp.436-449, ⟨10.1007/978-3-319-14612-6_32⟩. ⟨hal-01084939⟩
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Book sections
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- James Tilton, Aksoy Selim, Yuliya Tarabalka. Image segmentation algorithms for land categorization. P. S. Thenkabail. Remote Sensing Handbook, Taylor and Francis, 2015. ⟨hal-01068167⟩
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Reports
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- Seong-Gyun Jeong, Yuliya Tarabalka, Nicolas Nisse, Josiane Zerubia. Inference of Curvilinear Structure based on Learning a Ranking Function and Graph Theory. [Research Report] RR-8789, Inria Sophia Antipolis. 2015. ⟨hal-01214932⟩
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2014
Journal articles
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- Hossein Aghighi, John Trinder, Yuliya Tarabalka, Samsung Lim. Dynamic Block-Based Parameter Estimation for MRF Classification of High-Resolution Images. IEEE Geoscience and Remote Sensing Letters, 2014, 11 (10), pp.1687-1691. ⟨hal-01016505⟩
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- Yuliya Tarabalka, Guillaume Charpiat, Ludovic Brucker, Bjoern Menze. Spatio-Temporal Video Segmentation with Shape Growth or Shrinkage Constraint. IEEE Transactions on Image Processing, 2014, 23 (9), pp.3829-3840. ⟨hal-01052543⟩
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Conference papers
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- Seong-Gyun Jeong, Yuliya Tarabalka, Josiane Zerubia. Marked point process model for facial wrinkle detection. IEEE ICIP – International Conference on Image Processing, Oct 2014, Paris, France. pp.1391-1394. ⟨hal-01066231⟩
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- Hossein Aghighi, John Trinder, Ke Wang, Yuliya Tarabalka, Samsung Lim. Smoothing parameter estimation for Markov random field classification of non-Gaussian distribution image. ISPRS TC VII Symposium, Sep 2014, Istanbul, Turkey. ⟨hal-01068242⟩
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- Yuliya Tarabalka, Aakanksha A Rana. Graph-Cut-Based Model for Spectral-Spatial Classification of Hyperspectral Images. IEEE IGARSS – International Geoscience and Remote Sensing Symposium, Jul 2014, Quebec, Canada. ⟨hal-01011495⟩
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Reports
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- Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat. Multi-label segmentation of images with partition trees. [Research Report] Inria Sophia Antipolis. 2014. ⟨hal-01084166⟩
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2013
Journal articles
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- Yuliya Tarabalka, Guillaume Charpiat. Exploiting Temporal Coherence for Fire Mapping from MODIS Spaceborne Observations. IEEE Earthzine, 2013. ⟨hal-00915245⟩
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- Mathieu Fauvel, Yuliya Tarabalka, Jon Atli Benediktsson, Jocelyn Chanussot, James Tilton. Advances in Spectral-Spatial Classification of Hyperspectral Images. Proceedings of the IEEE, 2013, 101 (3), pp.652-675. ⟨10.1109/JPROC.2012.2197589⟩. ⟨hal-00737075⟩
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Conference papers
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- Claudio Price, Yuliya Tarabalka, Ludovic Brucker. Graph-Based Method for Multitemporal Segmentation of Sea Ice Floes from Satellite Data. Latin American Remote Sensing Week, Oct 2013, Santiago, Chile. ⟨hal-00874537⟩
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- Yuliya Tarabalka, Guillaume Charpiat, Ludovic Brucker, Bjoern H. Menze. Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation. BMVC – British Machine Vision Conference, Sep 2013, Bristol, United Kingdom. ⟨hal-00856634⟩
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- Yuliya Tarabalka, Guillaume Charpiat. A Graph-Cut-Based Method for Spatio-Temporal Segmentation of Fire from Satellite Observations. IEEE IGARSS – International Geoscience and Remote Sensing Symposium, Jul 2013, Melbourne, Australia. ⟨hal-00845691⟩
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2012
Journal articles
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- James Tilton, Yuliya Tarabalka, Paul Montesano, Emanuel Gofman. Best Merge Region-Growing Segmentation with Intergrated Nonadjacent Region Object Aggregation. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50 (11), pp.4454-4467. ⟨10.1109/TGRS.2012.2190079⟩. ⟨hal-00737067⟩
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- Kevin Bernard, Yuliya Tarabalka, Jesus Angulo, Jocelyn Chanussot, Jon Atli Benediktsson. Spectral-Spatial Classification of Hyperspectral Data based on a Stochastic Minimum Spanning Forest Approach. IEEE Transactions on Image Processing, 2012, 21 (4), pp.2008-2021. ⟨10.1109/TIP.2011.2175741⟩. ⟨hal-00728498⟩
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- Yuliya Tarabalka, James Tilton, Jon Atli Benediktsson, Jocelyn Chanussot. A marker-based approach for the automated selection of a single segmentation from a hierarchical set of image segmentations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2012, 5 (1), pp.262-272. ⟨10.1109/JSTARS.2011.2173466⟩. ⟨hal-00729001⟩
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Conference papers
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- Yuliya Tarabalka. Overview of Hierarchical Models for Hyperspectral Image Classification. UkrOBRAZ – Signal/Image Processing and Pattern Recognition Conference, Oct 2012, Kyiv, Ukraine. pp.1-4. ⟨hal-00752928⟩
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- Yuliya Tarabalka, Ludovic Brucker, Alvaro Ivanoff, James Tilton. Shape-constrained segmentation approach for Arctic multiyear sea ice floe analysis. IEEE IGARSS – International Geoscience and Remote Sensing Symposium, IEEE, Jul 2012, Munich, Germany. ⟨hal-00729033⟩
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- Yuliya Tarabalka, James Tilton. Improved hierarchical optimization-based classification of hyperspectral images using shape analysis. IEEE IGARSS – International Geoscience and Remote Sensing Symposium, IEEE, Jul 2012, Munich, Germany. ⟨hal-00729038⟩
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