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Dr.-Ing. Michael Yang
Michael Yang left the Institut für Informationsverabeitung.
Publications and research activities from the time after the departure are not listed here.

Email: yang(at)tnt.uni-hannover.de


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, Universität 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 Universität Hanover. His research interests include multiple object tracking and cosegmentation, graphical models, and classification.



Research Interests


  • Probabilistic Graphical Models
  • Scene Understanding
  • Object Segmentation and Tracking
  • Digital Photogrammetry

News



Show selected publications only
  • Wentong Liao, Yang Michael, Bodo Rosenhahn
    Video Event Recognition by Combining HDP and Gaussian Process
    IEEE International Conference on Computer Vision (ICCV) Workshops, pp. 19-27, Santiago, Chile, December 2015
  • Michael Yang, Matthias Reso, Jun Tang, Wentong Liao, Bodo Rosenhahn
    Temporally Object-based Video Co-Segmentation
    Advances in Visual Computing, The final publication is available at link.springer.com, Springer-Verlag, Las Vegas, NV, USA, December 2015
  • Wentong Liao, Bodo Rosenhahn, Yang Michael
    Gaussian Process for Activity Modeling and Anomaly Detection
    International Society for Photogrammetry and Remote Sensing ISA workshop, La Grande Motte, France, September 2015
  • Saif Al-Shaikhli, Michael Yang, Bodo Rosenhahn
    3D Automatic Liver Segmentation Using Feature-Constrained Mahalanobis Distance in CT Images
    Biomedical Engineering / Biomedizinische Technik (BMT) Journal , De Gruyter, VDE, DGBMT, Karlsruhe, Germany, September 2015, edited by Olaf Dössel. (Impact Factor: 1.458)
  • Saif Al-Shaikhli, Michael Yang, Bodo Rosenhahn
    Automatic 3D Liver Segmentation Using Sparse Representation of Global and Local Image Information via Level Set Formulation
    Technical Report, arXiv, Subjects: Computer Vision and Pattern Recognition (cs.CV), August 2015
  • Michael Yang, Tao Jiang, Saif Al-Shaikhli, Bodo Rosenhahn
    A Novel Dictionary Learning Method For Remote Sensing Image Classification
    International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, IEEE Xplore Digital Library, July 2015
  • Michael Yang, Wentong Liao, Bodo Rosenhahn, Zheng Zhang
    Hyperspectral Image Classification Using Gaussian Process Models
    International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, IEEE Xplore Digital Library, July 2015
  • Saif Al-Shaikhli, Michael Yang, Bodo Rosenhahn
    Brain Tumor Classification and Segmentation Using Sparse Coding and Dictionary Learning
    Biomedical Engineering / Biomedizinische Technik (BMT) Journal , De Gruyter, VDE, DGBMT, Karlsruhe, Germany, July 2015, edited by Olaf Dössel. (Impact Factor: 1.458)
  • Michael Ying Yang
    A Generic Probabilistic Graphical Model for Region-based Scene Interpretation
    International Conference on Computer Vision Theory and Applications, accpeted for publication, March 2015
  • Wentong Liao, Jun Tang, Bodo Rosenhahn, Micheal Ying Yang
    Integration of Gaussian Process and MRF for Hyperspectral Image Classification
    Joint Urban Remote Sensing Event, IEEE, March 2015
  • Zheng Zhang, Michael Ying Yang, Mei Zhou
    Multi-source multi-scale hierarchical conditional random field model for remote sensing image classification
    ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; PIA15+HRIGI15, accpeted for publication, Munich, Germany, March 2015
  • Michael Ying Yang, Yu Qiang, Bodo Rosenhahn
    A global-to-local framework for infrared and visible image sequence registration
    IEEE Winter Conference on Applications of Computer Vision, accpeted for publication, January 2015
  • W. Huang, X. Gong, Michael Ying Yang
    Joint object segmentation and depth upsampling
    Signal Processing Letters, IEEE, Vol. 22, No. 2, p. 192–196, 2015
  • Saif Al-shaikhli, Michael Yang, Bodo Rosenhahn
    Multi-Region Labeling and Segmentation Using a Graph Topology Prior and Atlas Information in Brain Images
    Computerized Medical Imaging and Graphics Journal (CMIG), Elsevier, Vol. 38, No. 8, pp. 725-734, December 2014, edited by Stephen Wong, Ph.D., P.E. (Impact Factor: 1.588)
  • Muhammad Shoaib, Michael Ying Yang, Bodo Rosenhahn, Jörn Ostermann
    Estimating layout of cluttered indoor scenes using trajectory based priors
    Image and Vision Computing, December 2014
  • Saif Al-Shaikhli, Michael Yang, Bodo Rosenhahn
    Coupled Dictionary Learning for Multi-Label Brain Tumor Segmentation in Flair MRI images
    Advances in Visual Computing - 10th International Symposium on Visual Computing (ISVC), accepted for publication (oral presentation), Lecture Notes in Computer Science (LNCS 8887),Springer International Publishing Switzerland, pp. 489-500, USA, December 2014, edited by George Bebis et al
  • Michael Ying Yang, Sitong Feng, Bodo Rosenhahn
    Sparse optimization for motion segmentation
    ACCV Workshop on Video Segmentation in Computer Vision, November 2014
  • Saif Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn
    Brain Tumor Classification Using Sparse Coding and Dictionary Learning
    IEEE International Conference on Image Processing (ICIP), accepted for publication (oral presentation)., IEEE Xplore Digital Library, pp. 2752-2756, France (Paris), October 2014
  • Yongsheng Zhou, Chuanrong Li, Lingling Ma, Michael Ying Yang, Qi Liu
    IMPROVED TRIHEDRAL CORNER REFLECTOR FOR HIGH-PRECISION SAR CALIBRATION AND VALIDATION
    International Geoscience and Remote Sensing Symposium, IEEE, July 2014
  • Zheng Zhang, Michael Ying Yang, Mei Zhou, Xiang Zhao Zeng
    SIMULTANEOUS REMOTE SENSING IMAGE CLASSIFICATION AND ANNOTATION BASED ON THE SPATIAL COHERENT TOPIC MODEL
    International Geoscience and Remote Sensing Symposium, IEEE, July 2014
  • Michael Ying Yang, Xuanzi Yong, Bodo Rosenhahn
    Feature Regression for Multimodal Image Analysis
    CVPR Workshop on Multi-Sensor Fusion for Outdoor Dynamic Scene Understanding, accpeted for publication, June 2014
  • Michael Ying Yang, Bodo Rosenhahn
    Video Segmentation with Joint Object and Trajectory Labeling
    IEEE Winter Conference on Applications of Computer Vision, IEEE, March 2014
  • Oliver Müller, Michael Y. Yang, Bodo Rosenhahn
    Slice Sampling Particle Belief Propagation
    IEEE International Conference on Computer Vision (ICCV), pp. 1129--1136, Sydney, Australia, December 2013
  • Yibo Guo, Michael Ying Yang, Bodo Rosenhahn
    INTERACTIVE MULTI-OBJECT TRACKING FOR VIRTUAL OBJECT MANIPULATION
    ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS ISA13 - Image Sequence Analysis 2013, Antalya, Turkey, November 2013
  • Michael Ying Yang
    Image Segmentation by Bilayer Superpixel Grouping
    Asian Conference on Pattern Recognition , accpeted for publication, Okinawa, Japan, November 2013
  • Saif Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn
    Medical Image Segmentation Using Multi-level Set Partitioning with Topological Graph Prior
    PSIVT 2013 Workshops, Springer Lecture Notes on Computer Sciences (LNCS), pp. 157--168,, Springer, October 2013
  • Zheng Zhang, Michael Ying Yang, Mei Zhou
    MULTI-SOURCE HIERARCHICAL CONDITIONAL RANDOM FIELD MODEL FOR FEATURE FUSION OF REMOTE SENSING IMAGES AND LIDAR DATA
    International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Hannover Workshop 2013, pp. 389-392, Hannover, Germany, May 2013
  • Michael Ying Yang, Wolfgang Förstner, Dengfeng Chai
    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
  • Dengfeng Chai, Wolfgang Förstner, Michael Ying Yang
    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
  • Michael Ying Yang, Yanpeng Cao, John McDonald
    Fusion of camera images and laser scans for wide baseline 3D scene alignment in urban environments
    ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 66, No. 6, pp. S52-S61, 2011
  • Michael Ying Yang, Wolfgang Förstner
    A Hierarchical Conditional Random Field Model for Labeling and Classifying Images of Man-made Scenes
    ICCV Workshop on Computer Vision for Remote Sensing of the Environment , IEEE, p. 196 – 203, 2011
  • Michael Ying Yang, Wolfgang Förstner
    Regionwise Classification of Building Facade Images
    Photogrammetric Image Analysis (PIA2011), p. 209 – 220, 2011
  • Yanpeng Cao, Michael Ying Yang, John McDonald
    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
  • Michael Ying Yang, Yanpeng Cao, Wolfgang Förstner, John McDonald
    Wide Baseline Scene Alignment based on 3D Viewpoint Normalization
    International Conference on Advances in Visual Computing, Springer-Verlag, pp. 654 - 665, 2010
  • Michael Ying Yang, Wolfgang Förstner, Martin Drauschke
    Hierarchical Conditional Random Field for Multi-class Image Classification
    International Conference on Computer Vision Theory and Applications (VISSAPP), pp. 464-469, 2010
  • Michael Ying Yang, Wolfgang Förstner
    Plane Detection in Point Cloud Data
    Department of Photogrammetry, University of Bonn, 2010
  • Jörg Schmittwilken, Michael Ying Yang, Wolfgang Förstner, Lutz Plümer
    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
Other activities

Professional Activities


  • Since 2009    Member of German Association for Pattern Recognition (DAGM)
  • 2012-2016    Secretary of ISPRS WG III/3 ‘Image Sequence Analysis