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ORCIDMartin Kiechle
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2010 – 2019
- 2019
[b1]Martin Kiechle:
Model-based learning of co-sparse representations for image processing applications. Technical University of Munich, Germany, 2019- 2018
- [j2]Martin Kiechle
, Martin Storath, Andreas Weinmann, Martin Kleinsteuber:
Model-Based Learning of Local Image Features for Unsupervised Texture Segmentation. IEEE Trans. Image Process. 27(4): 1994-2007 (2018) - 2017
- [c5]Dmytro Bobkov, Martin Kiechle, Sebastian Hilsenbeck, Eckehard G. Steinbach:
Room segmentation in 3D point clouds using anisotropic potential fields. ICME 2017: 727-732 - [c4]Dmytro Bobkov, Sili Chen, Martin Kiechle, Sebastian Hilsenbeck, Eckehard G. Steinbach:
Noise-resistant Unsupervised Object Segmentation in Multi-view Indoor Point Clouds. VISIGRAPP (5: VISAPP) 2017: 149-156 - [i3]Martin Kiechle, Martin Storath, Andreas Weinmann, Martin Kleinsteuber:
Model-based learning of local image features for unsupervised texture segmentation. CoRR abs/1708.00180 (2017) - 2015
- [j1]Martin Kiechle, Tim Habigt, Simon Hawe, Martin Kleinsteuber:
A Bimodal Co-sparse Analysis Model for Image Processing. Int. J. Comput. Vis. 114(2-3): 233-247 (2015) - 2014
- [i2]Martin Kiechle, Tim Habigt, Simon Hawe, Martin Kleinsteuber:
A Bimodal Co-Sparse Analysis Model for Image Processing. CoRR abs/1406.6538 (2014) - 2013
- [c3]Martin Kiechle, Simon Hawe, Martin Kleinsteuber:
A Joint Intensity and Depth Co-sparse Analysis Model for Depth Map Super-resolution. ICCV 2013: 1545-1552 - [i1]Martin Kiechle, Simon Hawe, Martin Kleinsteuber:
A Joint Intensity and Depth Co-Sparse Analysis Model for Depth Map Super-Resolution. CoRR abs/1304.5319 (2013) - 2012
- [c2]Kilian Moser, Martin Kiechle, Kimiko Ryokai:
Photocation: tangible learning system for DSLR photography. CHI Extended Abstracts 2012: 1691-1696 - 2011
- [c1]Martin Hofmann, Martin Kiechle, Gerhard Rigoll:
Late fusion for person detection in camera networks. CVPR Workshops 2011: 41-46
Coauthor Index
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