Logo of Leibniz Universität Hannover
Prof. Dr.-Ing. Michael Yang
University of Twente
SUG - Scene Understanding Group
Assistant Professor
Hengelosestraat 99
Enschede
phone: +31 53 489 2916
fax: +31 53 487 4335
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


Projects
Helpful Use of Surveillance Cameras
Helpful Use of Surveillance Cameras
Object Segmentation
Object Segmentation
Relational Object Tracking
Relational Object Tracking
Video Segmentation
Video Segmentation
Object Segmentation
Publications
Show selected publications only
  • Florian Kluger, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn
    Robust Shape Fitting for 3D Scene Abstraction
    IEEE Transactions on Pattern Analysis and Machine Intelligence, March 2024
    (Arxiv.org) BibTeX
  • Yuren Cong, Michael Yang, Bodo Rosenhahn
    RelTR: Relation Transformer for Scene Graph Generation
    IEEE transactions on pattern analysis and machine intelligence (TPAMI), 2023
    (Arxiv.org, Github, DOI, IEEEexplore) BibTeX
  • Yuren Cong, Jinhui Yi, Bodo Rosenhahn, Michael Yang
    SSGVS: Semantic Scene Graph-to-Video Synthesis
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023
    (Arxiv.org) BibTeX
  • Florian Kluger, Hanno Ackermann, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn
    Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images
    CVPR, June 2021
    (Arxiv.org) BibTeX
  • Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang
    Context-Aware Layout to Image Generation with Enhanced Object Appearance
    IEEE Conference on Computer Vision and Pattern Recognition, June 2021
    (pdf) BibTeX
  • Wentong Liao, Cuiling Lan, Michael Ying Yang, Wenjung Zeng, Bodo Rosenhahn
    Target-Tailored Source-Transformation for Scene Graph Generation
    In CVPR Workshop on Multi-Sensor Fusion for Dynamic Scene Understanding, June 2021
    BibTeX
  • Cheng Hao, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn
    Exploring Dynamic Context for Multi-path Trajectory Prediction
    International Conference on Robotics and Automation , May 2021
    (pdf) BibTeX
  • Cheng Hao, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn
    AMENet: Attentive Maps Encoder Network for Trajectory Prediction
    ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, Vol. 172, pp. 253--266, 2021
    (DOI) BibTeX
  • He Sen, Liao Wentong, Hamed Rezazadegan Tavakoli, Michael Ying Yang, Bodo Rosenhahn, Nicolas Pugeault
    Image Captioning through Image Transformer
    Asian Conference on Computer Vision (ACCV), IEEE, Kyoto, November 2020
    (pdf) BibTeX
  • Tongxin Hu, Vasileios Iosifidis, Liao Wentong, Zhang Hang, Michael Ying Yang, Eirini Ntoutsi, Bodo Rosenhahn
    FairNN - Conjoint Learning of Fair Representations for Fair Decisions
    23rd International Conference on Discovery Science, October 2020
    (pdf) BibTeX
  • Wentong Liao, Xiang Cheng, Jingfeng Yang, Stefan Roth, Michael Goesele, Michael Ying Yang, Bodo Rosenhahn
    LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery
    XXIV ISPRS Congress, International Society for Photogrammetry and Remote Sensing (ISPRS), No. 381, p. 8, Nice, September 2020, edited by N. Paparoditis, C. Mallet, F. Lafarge, F. Remondino, I. Toschi, T. Fuse
    (pdf) BibTeX
  • Hao Cheng, Wentong Liao, Yang Michael Ying, Monica Sester, Bodo Rosenhahn
    MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic
    23rd International Conference on Intelligent Transportation Systems (ITSC), IEEE, September 2020
    (pdf) BibTeX
  • Yuren Cong, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn
    NODIS: Neural Ordinary Differential Scene Understanding
    European Conference on Computer Vision (ECCV), August 2020
    (Arxiv.org) BibTeX
  • Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
    Temporally Consistent Horizon Lines
    International Conference on Robotics and Automation (ICRA), Paris, France, June 2020
    (Arxiv.org) BibTeX
  • Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn
    CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
    Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, June 2020
    (Arxiv.org) BibTeX
  • Michael Ying Yang, Wentong Liao, Xinbo Li, Yanpeng Cao, Bodo Rosenhahn
    Vehicle Detection in Aerial Images
    Photogrammetric Engineering & Remote Sensing, 2019
    (pdf) BibTeX
  • Wentong Liao, Lin Shuai, Bodo Rosenhahn, Michael Ying Yang
    Natural Language Guided Visual Relationship Detection
    Conference on Computer Vision and Pattern Recognition Workshops, IEEE, 2019
    (pdf) BibTeX
  • Christoph Reinders, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
    Learning Convolutional Neural Networks for Object Detection with very little Training Data
    Multimodal Scene Understanding, Academic Press, 2019, edited by Michael Ying Yang, Bodo Rosenhahn and Vittorio Murino
    BibTeX
  • Christoph Reinders, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
    Object Recognition from very few Training Examples for Enhancing Bicycle Maps
    2018 IEEE Intelligent Vehicles Symposium (IV), June 2018
    (pdfArxiv.org) BibTeX
  • Michael Ying Yang, Wentong Liao, Yanpeng Cao, Bodo Rosenhahn
    Video event recognition and anomaly detection by combining gaussian process and hierarchical dirichlet process models
    Photogrammetric Engineering & Remote Sensing, 2018
    (pdf) BibTeX
  • Michael Ying Yang, Wentong Liao, Xinbo Li, Bodo Rosenhahn
    Deep Learning for Vehicle Detection in Aerial Images
    IEEE International Conference on Image Processing (ICIP), 2018
    (pdf) BibTeX
  • Michael Yang, Wentong Liao, Hanno Ackermann, Bodo Rosenhahn
    On support relations and semantic scene graphs
    Journal of Photogrammetry and Remote Sensin (ISPRS), Vol. 131, pp. 15 - 25, July 2017
    (DOI) BibTeX
  • Wentong Liao, Chun Yang, Michael Ying Yang, Bodo Rosenhahn
    Security Event Recognition for Visual Surveillance
    ISPRS Annals of Photogrammetry, Remote Sensing \& Spatial Information Sciences, Vol. 4, June 2017
    (pdfDOI) BibTeX
  • Wentong Liao, Michael Ying Yang, Ni Zhan, Bodo Rosenhahn
    Triplet-based Deep Similarity Learning for Person Re-Identification
    In ICCV Workshop on Multi-Sensor Fusion for Dynamic Scene Understanding, 2017
    (pdf) BibTeX
  • Saif Al-shaikhli, Michael Yang, Bodo Rosenhahn
    3D automatic liver segmentation using feature-constrained mahalanobis distance in CT images
    Biomedical Engineering / Biomedizinische Technik (BMT), 2016
    (DOI) BibTeX
  • Saif Al-shaikhli, Michael Yang, Bodo Rosenhan
    Alzheimer's disease detection via automatic 3d caudate nucleus segmentation using coupled dictionary learning with level set formulation
    Computer Methods and Programs in Biomedicine, 2016
    (DOI) BibTeX
  • Saif Al-shaikhli, Michael Yang, Bodo Rosenhan
    Brain tumor classification segmentation using sparse coding and dictionary learning
    Biomedical Engineering / Biomedi-zinische Technik (BMT), 2016
    (DOI) BibTeX
  • Michael Yang, Bodo Rosenhahn
    Superpixel cut for gure-ground image segmentation.
    In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
    BibTeX
  • Michael Yang, Saif Al-Shaikhli, Tao jiang, Cao Yanpeng, Bodo Rosenhahn
    Bi-layer dictionary learning for remote sensing image classification
    In International Geoscience and Remote Sensing Symposium (IGARSS), 2016
    (DOI) BibTeX
  • Wentong Liao, Yang Michael, Bodo Rosenhahn
    Video Event Recognition by Combining HDP and Gaussian Process
    IEEE International Conference on Computer Vision (ICCV) Workshop, pp. 19-27, Santiago, Chile, December 2015
    (pdf) BibTeX
  • 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
    (Springer) BibTeX
  • 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
    (DOI) BibTeX
  • 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)
    (DOI) BibTeX
  • 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
    (Arxiv.org) BibTeX
  • 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
    (DOI) BibTeX
  • 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
    (pdf) BibTeX
  • 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)
    (DOI) BibTeX
  • 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
    (DOI) BibTeX
  • 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
    (pdf) BibTeX
  • 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
    (DOI) BibTeX
  • 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
    (DOI) BibTeX
  • 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
    (DOI) BibTeX
  • Xuanyi Yong, Michael Yang, Yanpeng Cao, Bodo Rosenhahn
    Descriptor evaluation and feature regression for multimodal image analysis
    Machine Vision and Applications, 2015
    (DOI) BibTeX
  • Michael Yang, Tao Jiang, Saif Al-Shaikhli, Bodo Rosenhahn
    A novel dictionary learning method for remote sensing image classication
    In International Geoscience and Remote Sensing Symposium (IGARSS), 2015
    BibTeX
  • 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)
    (Link) BibTeX
  • 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
    (DOI) BibTeX
  • 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
    (Springer) BibTeX
  • Michael Ying Yang, Sitong Feng, Bodo Rosenhahn
    Sparse optimization for motion segmentation
    ACCV Workshop on Video Segmentation in Computer Vision, November 2014
    (DOI) BibTeX
  • 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
    (IEEEexplore) BibTeX
  • 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
    BibTeX
  • 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
    (DOI) BibTeX
  • 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
    (DOI) BibTeX
  • Michael Ying Yang, Bodo Rosenhahn
    Video Segmentation with Joint Object and Trajectory Labeling
    IEEE Winter Conference on Applications of Computer Vision, IEEE, March 2014
    (pdfDOI) BibTeX
  • 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
    (pdfDOI) BibTeX (paper page)
  • 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
    (pdfDOI) BibTeX
  • Michael Ying Yang
    Image Segmentation by Bilayer Superpixel Grouping
    Asian Conference on Pattern Recognition , accpeted for publication, Okinawa, Japan, November 2013
    (pdfDOI) BibTeX
  • 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
    (Springer) BibTeX
  • 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
    (pdfDOI) BibTeX
  • 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
    BibTeX
  • 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
    (DOI) BibTeX
  • 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
    (pdf) BibTeX
  • 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
    (pdf) BibTeX
  • Michael Ying Yang, Wolfgang Förstner
    Regionwise Classification of Building Facade Images
    Photogrammetric Image Analysis (PIA2011), p. 209 – 220, 2011
    (pdf) BibTeX
  • 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
    BibTeX
  • 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
    BibTeX
  • 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
    BibTeX
  • Michael Ying Yang, Wolfgang Förstner
    Plane Detection in Point Cloud Data
    Department of Photogrammetry, University of Bonn, 2010
    BibTeX
  • 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
    BibTeX
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’
Last changed: 2024-11-21