Roland Kwitt
Roland Kwitt
Professor, Department of Computer Science, University of Salzburg, Austria
Verified email at sbg.ac.at - Homepage
Title
Cited by
Cited by
Year
Quicksilver: Fast predictive image registration–a deep learning approach
X Yang, R Kwitt, M Styner, M Niethammer
NeuroImage 158, 378-396, 2017
2982017
A stable multi-scale kernel for topological machine learning
J Reininghaus, S Huber, U Bauer, R Kwitt
Proceedings of the IEEE conference on computer vision and pattern …, 2015
2322015
BlenSor: Blender sensor simulation toolbox
M Gschwandtner, R Kwitt, A Uhl, W Pree
International Symposium on Visual Computing, 199-208, 2011
1812011
Deep learning with topological signatures
C Hofer, R Kwitt, M Niethammer, A Uhl
arXiv preprint arXiv:1707.04041, 2017
1262017
Lightweight probabilistic texture retrieval
R Kwitt, A Uhl
IEEE Transactions on Image Processing 19 (1), 241-253, 2009
1072009
Scene recognition on the semantic manifold
R Kwitt, N Vasconcelos, N Rasiwasia
European Conference on Computer Vision (ECCV 2012), 359-372, 2012
992012
Fast predictive image registration
X Yang, R Kwitt, M Niethammer
Deep Learning and Data Labeling for Medical Applications, 48-57, 2016
912016
Image similarity measurement by Kullback-Leibler divergences between complex wavelet subband statistics for texture retrieval
R Kwitt, A Uhl
2008 15th IEEE International Conference on Image Processing, 933-936, 2008
852008
Efficient texture image retrieval using copulas in a Bayesian framework
R Kwitt, P Meerwald, A Uhl
IEEE transactions on image processing 20 (7), 2063-2077, 2011
802011
Aga: Attribute-guided augmentation
M Dixit, R Kwitt, M Niethammer, N Vasconcelos
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
792017
Lightweight detection of additive watermarking in the DWT-domain
R Kwitt, P Meerwald, A Uhl
IEEE transactions on image processing 20 (2), 474-484, 2010
622010
Statistical topological data analysis-a kernel perspective
R Kwitt, S Huber, M Niethammer, W Lin, U Bauer
Advances in neural information processing systems, 3070-3078, 2015
572015
Feature space transfer for data augmentation
B Liu, X Wang, M Dixit, R Kwitt, N Vasconcelos
Proceedings of the IEEE conference on computer vision and pattern …, 2018
422018
Computer-assisted pit-pattern classification in different wavelet domains for supporting dignity assessment of colonic polyps
M Häfner, R Kwitt, A Uhl, F Wrba, A Gangl, A Vécsei
Pattern Recognition 42 (6), 1180-1191, 2009
422009
Modeling the marginal distributions of complex wavelet coefficient magnitudes for the classification of zoom-endoscopy images
R Kwitt, A Uhl
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
402007
Feature extraction from multi-directional multi-resolution image transformations for the classification of zoom-endoscopy images
M Häfner, R Kwitt, A Uhl, A Gangl, F Wrba, A Vécsei
Pattern Analysis and Applications 12 (4), 407-413, 2009
392009
Low-rank to the rescue–atlas-based analyses in the presence of pathologies
X Liu, M Niethammer, R Kwitt, M McCormick, S Aylward
International Conference on Medical Image Computing and Computer-Assisted …, 2014
382014
Infrared camera calibration for dense depth map construction
M Gschwandtner, R Kwitt, A Uhl, W Pree
2011 IEEE Intelligent Vehicles Symposium (IV), 857-862, 2011
382011
Low-rank atlas image analyses in the presence of pathologies
X Liu, M Niethammer, R Kwitt, N Singh, M McCormick, S Aylward
IEEE transactions on medical imaging 34 (12), 2583-2591, 2015
352015
A joint model of complex wavelet coefficients for texture retrieval
R Kwitt, A Uhl
2009 16th IEEE International Conference on Image Processing (ICIP), 1877-1880, 2009
352009
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