Michael Ying Yang studied Communication Engineering at Sichuan University, China. From 2005 to 2008, he studied Communication and Information System at Institute of Electronics, Chinese Academy of Sciences, China, where he received Ms.Eng. in 07/2008.
From 2008 to 2012, he was a Research Assistant at Department of Photogrammetry, Institute of Geodesy and Geoinformation, UniversitĂ¤t Bonn. He was involved in the DFG project 'Semi-automatic generation of highly detailed textured building models', which is part of the Sino-German bundle project 'Interoperation of 3D Urban Geoinformation'. He received the Dr.-Ing. (summa cum laude) in 12/2011 with PhD thesis 'Hierarchical and Spatial Structures for Interpreting Images of Man-made Scenes Using Graphical Models'.
Since 05/2012, he works as PostDoc at the Institute for Information processing (TNT), Leibniz UniversitĂ¤t Hanover. His research interests include multiple object tracking and cosegmentation, graphical models, and classification.
Brain Tumor Classification Using Sparse Coding and Dictionary Learning
IEEE International Conference on Image Processing (ICIP), accepted for publication., October 2014
Feature Regression for Multimodal Image Analysis
CVPR Workshop on Multi-Sensor Fusion for Outdoor Dynamic Scene Understanding, accpeted for publication, June 2014
FEATURE EVALUATION FOR BUILDING FACADE IMAGES — AN EMPIRICAL STUDY
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Proc. of 22nd Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS), pp. 513-518, Melbourne, August 2012
COMBINE MARKOV RANDOM FIELDS AND MARKED POINT PROCESSES TO EXTRACT BUILDING FROM REMOTELY SENSED IMAGES
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Proc. of 22nd Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS) , pp. 365-370, Melbourne, August 2012
Robust Alignment of Wide Baseline Terrestrial Laser Scans via 3D Viewpoint Normalization
IEEE Workshop on Applications of Computer Vision (WACV) , IEEE, pp. 455 - 462, 2011
Wide Baseline Scene Alignment based on 3D Viewpoint Normalization
International Conference on Advances in Visual Computing, Springer-Verlag, pp. 654 - 665, 2010
Hierarchical Conditional Random Field for Multi-class Image Classification
International Conference on Computer Vision Theory and Applications (VISSAPP), pp. 464-469, 2010
Plane Detection in Point Cloud Data
Department of Photogrammetry, University of Bonn, 2010
Integration of Conditional Random Fields and Attribute Grammars for Range Data Interpretation of Man-made Objects
Annals of GIS, Vol. 15, No. 2, pp. 117--126, 2009