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Simon Hawe
Simon Hawe
Bestätigte E-Mail-Adresse bei tum.de
Titel
Zitiert von
Zitiert von
Jahr
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
1782013
Separable dictionary learning
S Hawe, M Seibert, M Kleinsteuber
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
1382013
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
1122013
Dense disparity maps from sparse disparity measurements
S Hawe, M Kleinsteuber, K Diepold
2011 International Conference on Computer Vision, 2126-2133, 2011
1122011
A swarm intelligence inspired algorithm for contour detection in images
U Kirchmaier, S Hawe, K Diepold
Applied soft computing 13 (6), 3118-3129, 2013
282013
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
282011
Analysis based blind compressive sensing
J Wörmann, S Hawe, M Kleinsteuber
IEEE Signal Processing Letters 20 (5), 491-494, 2013
232013
Co-sparse textural similarity for interactive segmentation
C Nieuwenhuis, S Hawe, M Kleinsteuber, D Cremers
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
222014
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
212015
Kognitive Automobile: Neue Konzepte und Ideen des Sonderforschungsbereiches/TR-28
M Thuy, M Goebl, F Rattei, M Althoff, F Obermeier, S Hawe, R Nagel, ...
Proc. of 3. Tagung Aktive Sicherheit durch Fahrerassistenz, 2008
122008
Cartoon-like image reconstruction via constrained ℓp-minimization
S Hawe, M Kleinsteuber, K Diepold
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
92012
Learning sparse data models via geometric optimization with applications to image processing
SA Hawe
Technische Universität München, 2013
42013
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
42010
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
42009
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
22009
Co-sparse textural similarity for image segmentation
C Nieuwenhuis, D Cremers, S Hawe, M Kleinsteuber
arXiv preprint arXiv:1312.4746, 2013
12013
A Discretized Newton Flow for Time-Varying Linear Inverse Problems
M Kleinsteuber, S Hawe
Mathematical Methodologies in Pattern Recognition and Machine Learning …, 2013
2013
Tracking Solutions of Time Varying Linear Inverse Problems.
M Kleinsteuber, S Hawe
ICPRAM (1), 253-257, 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
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