Dr.-Ing. Martin Kiechle
Cited by
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A joint intensity and depth co-sparse analysis model for depth map super-resolution
M Kiechle, S Hawe, M Kleinsteuber
Proceedings of the IEEE International Conference on Computer Vision, 1545-1552, 2013
Model-based learning of local image features for unsupervised texture segmentation
M Kiechle, M Storath, A Weinmann, M Kleinsteuber
IEEE Transactions on Image Processing 27 (4), 1994-2007, 2018
A bimodal co-sparse analysis model for image processing
M Kiechle, T Habigt, S Hawe, M Kleinsteuber
International Journal of Computer Vision 114 (2-3), 233-247, 2015
Room segmentation in 3D point clouds using anisotropic potential fields
D Bobkov, M Kiechle, S Hilsenbeck, E Steinbach
Multimedia and Expo (ICME), 2017 IEEE International Conference on, 727-732, 2017
Noise-resistant Unsupervised Object Segmentation in Multi-view Indoor Point Clouds.
D Bobkov, S Chen, M Kiechle, S Hilsenbeck, EG Steinbach
VISIGRAPP (5: VISAPP), 149-156, 2017
Photocation: tangible learning system for DSLR photography
K Moser, M Kiechle, K Ryokai
CHI'12 Extended Abstracts on Human Factors in Computing Systems, 1691-1696, 2012
Late fusion for person detection in camera networks
M Hofmann, M Kiechle, G Rigoll
Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE …, 2011
Model-based learning of co-sparse representations for image processing applications
M Kiechle
Technische Universität München, 2019
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