Dr.-Ing. Martin Kiechle

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Martin KleinsteuberCIO & Lead Data Scientist, Mercateo AG, MunichVerified email at tum.de
Simon HaweTechnische Universität MünchenVerified email at tum.de
Dmytro BobkovSW engineer in computer vision and artificial intelligence at Artisense GmbHVerified email at tum.de
Eckehard SteinbachProfessor for Media TechnologyVerified email at tum.de
Sebastian HilsenbeckNavVisVerified email at navvis.com
Tim HabigtPhD candidate, Institute for Data Processing, Technische Universität MünchenVerified email at tum.de
Kimiko RyokaiUniversity of California BerkeleyVerified email at ischool.berkeley.edu

Dr.-Ing. Martin Kiechle

TU München

Verified email at tum.de

representation learning image processing geometric optimization


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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	117	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	33	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	21	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	15	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	3	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	3	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	2	2011
Model-based learning of co-sparse representations for image processing applications M Kiechle Technische Universität München, 2019		2019

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