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Роман Шаповалов

 

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 and waste my time teaching and being taught. My advisors are Anton Konushin and Alexander Velizhev. Please visit my personal web-page for getting more verbose and/or informal information.
   

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.