Welcome...

dr. Y. Yang (Michael)

Assistant Professor

Expertise

Glossaries
Pedestrian
Sensor
Segmentation
Removal
Remote Sensing
Caudate Nucleus
Remote Sensing
Tumors
Alzheimer Disease
Cut
Learning
Graphical Models
Image Analysis
Learning
Image Classification
Infrared Radiation
Brain
Earth (Planet)
Segmentation
Liver
Computer Vision

Publications

Recent Articles
Heipke, C., Jacobsen, K., Stilla, U., Rottensteiner, F., Yilmaz, A., & Yang, M. Y. (2017). Proceedings of ISPRS Hannover Workshop : HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17, 6–9 June 2017, Hannover, Germany. (ISPRS Annals ; Vol. IV-1/W1). Hannover: International Society for Photogrammetry and Remote Sensing (ISPRS).
Reich, M., Yang, Y., & Heipke, C. (2017). Global robust image rotation from combined weighted averaging. ISPRS journal of photogrammetry and remote sensing, 127, 89-101. DOI: 10.1016/j.isprsjprs.2017.01.011
Al-Shaikhli, S. D. S., Yang, Y., & Rosenhahn, B. (2016). Brain tumor classification and segmentation using sparse coding and dictionary learning. Biomedical engineering = Biomedizinische Technik, 61(4), 413-429.
Al-Shaikhli, S. D. S., Yang, Y., & Rosenhahn, B. (2016). 3D automatic liver segmentation using feature-constrained Mahalanobis distance in CT images. Biomedical engineering = Biomedizinische Technik, 61(4), 401-412.
Cao, Y., Yang, Y., & Tisse, C. L. (2016). Effective strip noise removal for low-textured infrared images based on 1-D guided filtering. IEEE transactions on circuits and systems for video technology, 26(12), 2176-2188. DOI: 10.1109/TCSVT.2015.2493443
Yang, Y., Al-Shaikhli, S., Jiang, T., Cao, Y., & Rosenhahn, B. (2016). Bi-layer dictionary learning for remote sensing image classification. In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China (pp. 3059-3062). (IGARSS; No. 2016). Wasington, D.C.: IEEE. DOI: 10.1109/IGARSS.2016.7729791
Brachmann, E., Michel, F., Krull, A., Yang, Y., Gumhold, S., & Rother, C. (2016). Uncertainty-driven 6D pose estimation of objects and scenes from a single RGB image. In Proceedings of the 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 26 June - 1 July 2016, Las Vegas, United States of America (pp. 3364-3372). Washington: IEEE. DOI: 10.1109/CVPR.2016.366

UT Research Information System

Contact Details

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC (building no. 75), room 2-007
Hengelosestraat 99
7514AE  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC  2-007
P.O. Box 217
7500 AE Enschede
The Netherlands

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