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- T. A. Soomro, O. Hellwich, A. J. Afifi, M. Paul, J. Gao and L. Zheng,
"Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss,"
2018 Digital Image Computing: Techniques and Applications (DICTA), Canberra, Australia, 2018, pp. 1-8.
- Wöllhaf M., Hänsch R. and Hellwich O.,
Leveraging the Spatial Label Structure for Semantic Image Labeling using Random Forests,
VISAPP 2018 Funchal, Portugal, Vol 5 pages 193-200 - Le Saux B., Yokoya N., Hänsch R., and Prasad S.,
Report on the 2018 IEEE GRSS Data Fusion Contest - Advanced multi-sensor optical remote sensing for urban land use and land cover classification
IEEE Geoscience and Remote Sensing Magazine. Schulz K., Hänsch R., and Sörgel U.,
Machine learning methods for remote sensing applications: an overview
SPIE Remote Sensing 2018 Berlin, Germany
Proc. SPIE 10790, Earth Resources and Environmental Remote Sensing/GIS Applications IX, 1079002Hänsch R. and Hellwich O.,
A comparative evaluation of polarimetric distance measures within the Random Forest framework for the classification of PolSAR images
IGARSS 2018 Valencia, SpainD’Hondt O., Hänsch R., and Hellwich O.,
Supervised classification from TomoSAR data
IGARSS 2018 Valencia, SpainEichelbaum J., Hänsch R., and Hellwich O.,
Classification of Icon Type and Cooldown State in Video Game Replays
ICIAR 2018 Póvoa de Varzim, Portugal
pages 227-234D’Hondt O., Hänsch R., Hellwich O.,
Supervised classification from TomoSAR data
EUSAR 2018 Aachen, Germany
pages 1-6Ley A., D’Hondt O., Valade S., Hänsch R., and Hellwich O.,
Exploiting GAN-Based SAR to Optical Image Transcoding for Improved Classification via Deep Learning
EUSAR 2018 Aachen, Germany
pages 1-6Hänsch R. and Hellwich O.
Faster Trees: Strategies for accelerated training and prediction of Random Forests for classification of PolSAR images
ISPRS TCIII Midterm 2018 Beijing, China
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., Volume IV-3, pages 105-112Le Saux B., Yokoya N., Hänsch R., and Prasad S.,
2018 IEEE GRSS Data Fusion Contest: Multi-modal land use classification
IEEE Geoscience and Remote Sensing Magazine.
Volume 6, Issue 1, pages 52-54Hänsch R. and Hellwich O.,
Classification of PolSAR Images by Stacked Random Forests
ISPRS International Journal of Geo-Information
Volume 7, Number 2Mohn H., Gaebelein M., Hänsch R., and Hellwich O.,
Towards Image Colorization with Random Forests
VISAPP 2018 Funchal, Portugal
Volume 4, pages 270-278- Afifi A. J., Hellwich O., and Soomro T. A.,
"Simultaneous Object Classification and Viewpoint Estimation using Deep Multi-Task Convolutional Neural Network,"
In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, pages 177-184