| Analysis operator learning and its application to image reconstruction S Hawe, M Kleinsteuber, K Diepold IEEE Transactions on Image Processing 22 (6), 2138-2150, 2013 | 185 | 2013 |
| Separable dictionary learning S Hawe, M Seibert, M Kleinsteuber Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 147 | 2013 |
| Dense disparity maps from sparse disparity measurements S Hawe, M Kleinsteuber, K Diepold 2011 International Conference on Computer Vision, 2126-2133, 2011 | 132 | 2011 |
| 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 | 126 | 2013 |
| A swarm intelligence inspired algorithm for contour detection in images U Kirchmaier, S Hawe, K Diepold Applied soft computing 13 (6), 3118-3129, 2013 | 38 | 2013 |
| Dynamical information fusion of heterogeneous sensors for 3D tracking using particle swarm optimization U Kirchmaier, S Hawe, K Diepold Information Fusion 12 (4), 275-283, 2011 | 28 | 2011 |
| Analysis based blind compressive sensing J Wörmann, S Hawe, M Kleinsteuber IEEE Signal Processing Letters 20 (5), 491-494, 2013 | 24 | 2013 |
| Co-sparse textural similarity for interactive segmentation C Nieuwenhuis, S Hawe, M Kleinsteuber, D Cremers European conference on computer vision, 285-301, 2014 | 23 | 2014 |
| A bimodal co-sparse analysis model for image processing M Kiechle, T Habigt, S Hawe, M Kleinsteuber International Journal of Computer Vision 114, 233-247, 2015 | 21 | 2015 |
| Kognitive automobile-neue konzepte und ideen des sonderforschungsbereiches/tr-28 M Thuy, M Althoff, M Buss, K Diepold, J Eberspächer, G Färber, M Goebl, ... 3. Tagung Aktive Sicherheit durch Fahrerassistenz, 2008 | 13 | 2008 |
| Cartoon-like image reconstruction via constrained ℓp-minimization S Hawe, M Kleinsteuber, K Diepold 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 9 | 2012 |
| Learning sparse data models via geometric optimization with applications to image processing SA Hawe Technische Universität München, 2013 | 5 | 2013 |
| A line detection and description algorithm based on swarm intelligence U Kirchmaier, S Hawe, K Diepold Image Processing: Machine Vision Applications III 7538, 217-225, 2010 | 4 | 2010 |
| Mutant: A modular and generic tool for multi-sensor data processing S Hawe, U Kirchmaier, K Diepold 2009 12th International Conference on Information Fusion, 1304-1309, 2009 | 4 | 2009 |
| Optical flow reliability measures and their applicability for multi-sensor fusion F Obermeier, S Hawe, M Zwick, K Diepold 2009 IEEE Intelligent Vehicles Symposium, 527-531, 2009 | 2 | 2009 |
| Co-sparse textural similarity for image segmentation C Nieuwenhuis, D Cremers, S Hawe, M Kleinsteuber arXiv preprint arXiv:1312.4746, 2013 | 1 | 2013 |
| A Discretized Newton Flow for Time-Varying Linear Inverse Problems M Kleinsteuber, S Hawe Mathematical Methodologies in Pattern Recognition and Machine Learning …, 2012 | | 2012 |
| Tracking Solutions of Time Varying Linear Inverse Problems M Kleinsteuber, S Hawe International Conference on Pattern Recognition Applications and Methods 2 …, 2012 | | 2012 |
| Analysis of a multimodal-camera and its advantages for autonomous vehicles S Hawe, U Kirchmaier, K Diepold Image Processing: Machine Vision Applications III 7538, 39-47, 2010 | | 2010 |
| Image Processing: Machine Vision Applications III M Ritter, CW Frey, G Chareyron, J Da Rugna, A Darsch, J Stavnitzky, ... | | 2010 |
Martin KleinsteuberCIO & Lead Data Scientist, Mercateo AG, MunichEmail yang diverifikasi di tum.de