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Roman Shapovalov

 

E-mail: shapovalov [at] graphics [dot] cs [dot] msu [dot] ru		 I am a PhD student at Graphics & Media Lab since 2010. My primary research interests are computer vision, machine learning and subordination disobedience. I am a developer of the LidarK library for spatial data processing. I have also participated in the Road Monitor project where I was developing an on-line learning algorithm for road defects and marking detection. During my PhD studies I am working on structured prediction and learning, and their applications to 2D and 3D image analysis.

My thesis advisor is Dmitry Vetrov.
Please visit my personal web-page for getting more verbose and/or informal information.
   

Projects:

Object class segmentation of point clouds (2009 — 2010)
Road monitoring (2008 — 2010)

Code:

GML LidarK: Data structure for indexing in 3D
GML Balanced On-line Learning Toolkit

Publications(in English):

2012
Velizhev A, Shapovalov R, Schindler K. Implicit shape models for object detection in 3D point clouds. In: International Society of Photogrammetry and Remote Sensing Congress. Melbourne, AU; 2012. Abstract
Barinova O, Shapovalov R, Sudakov S, Velizhev A. Online Random Forest for Interactive Image Segmentation. In: International Workshop on Experimental Economics and Machine Learning. Leuven, BE; 2012. Abstract
2011
Shapovalov R, Velizhev A. Cutting-Plane Training of Non-associative Markov Network for 3D Point Cloud Segmentation. In: IEEE International Conference on 3D Imaging, Modeling, Processing, Visualisation and Transmission. Hangzhou, China; 2011. p. 1-8. Abstract
2010
Shapovalov R, Velizhev A, Barinova O. Non-Associative Markov Networks for 3D Point Cloud Classification. In: Photogrammetric Computer Vision and Image Analysis. Paris: ISPRS; 2010. Abstract
2009
Barinova O, Shapovalov R, Sudakov S, Velizhev A, Konushin A. Efficient Road Mapping via Interactive Image Segmentation. In: Object Extraction for 3D City Models, Road Databases and Traffic Monitoring (CMRT). Vol XXXVIII.; 2009. Abstract

Publications(in Russian):

2012
Шаповалов Р, Велижев А, Баринова О, Конушин А. Семантическая сегментация данных лазерного сканирования. Программные продукты и системы. 2012;(1).
2011
Ветров Д, Осокин А, Шаповалов Р. Использование субмодулярного разложения в релаксационном подходе к обучению структурного метода опорных векторов. In: Математические методы распознавания образов.; 2011.
2009
Велижев А, Шаповалов Р, Потапов Д, Третьяк Е, Конушин А. Автоматическая сегментация облаков точек на основе элементов поверхности. In: GraphiCon.; 2009. p. 241-5. Abstract
2008
Шаповалов Р, Баринова О, Велижев А, Конушин А. Онлайн-бэггинг, чувствительный к стоимости ошибок на разных классах. In: Труды 51-й научной конференции МФТИ «Современные проблемы фундаментальных и прикладных наук»: Часть IX. – М. : МФТИ.; 2008. p. 79-82.