Simon Hawe
Simon Hawe
Zweryfikowany adres z tum.de
Cytowane przez
Cytowane przez
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
Separable dictionary learning
S Hawe, M Seibert, M Kleinsteuber
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
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
Dense disparity maps from sparse disparity measurements
S Hawe, M Kleinsteuber, K Diepold
2011 International Conference on Computer Vision, 2126-2133, 2011
A swarm intelligence inspired algorithm for contour detection in images
U Kirchmaier, S Hawe, K Diepold
Applied soft computing 13 (6), 3118-3129, 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
Analysis based blind compressive sensing
J Wörmann, S Hawe, M Kleinsteuber
IEEE Signal Processing Letters 20 (5), 491-494, 2013
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
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
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
Cartoon-like image reconstruction via constrained ℓp-minimization
S Hawe, M Kleinsteuber, K Diepold
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
Learning sparse data models via geometric optimization with applications to image processing
SA Hawe
Technische Universität München, 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
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
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
Co-sparse textural similarity for image segmentation
C Nieuwenhuis, D Cremers, S Hawe, M Kleinsteuber
arXiv preprint arXiv:1312.4746, 2013
A Discretized Newton Flow for Time-Varying Linear Inverse Problems
M Kleinsteuber, S Hawe
Mathematical Methodologies in Pattern Recognition and Machine Learning …, 2012
Tracking Solutions of Time Varying Linear Inverse Problems.
M Kleinsteuber, S Hawe
ICPRAM (1), 253-257, 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
Image Processing: Machine Vision Applications III
M Ritter, CW Frey, G Chareyron, J Da Rugna, A Darsch, J Stavnitzky, ...
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