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Roland Kwitt
Roland Kwitt
Professor, Department of Artificial Intelligence and Human Interfaces, University of Salzburg
Verified email at plus.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
5192017
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
3372015
BlenSor: Blender sensor simulation toolbox
M Gschwandtner, R Kwitt, A Uhl, W Pree
Advances in Visual Computing: 7th International Symposium, ISVC 2011, Las …, 2011
2882011
Deep learning with topological signatures
C Hofer, R Kwitt, M Niethammer, A Uhl
Advances in neural information processing systems 30, 2017
2132017
Fast predictive image registration
X Yang, R Kwitt, M Niethammer
Deep Learning and Data Labeling for Medical Applications: First …, 2016
1332016
Aga: Attribute-guided augmentation
M Dixit, R Kwitt, M Niethammer, N Vasconcelos
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1222017
Lightweight probabilistic texture retrieval
R Kwitt, A Uhl
IEEE Transactions on Image Processing 19 (1), 241-253, 2009
1182009
Scene recognition on the semantic manifold
R Kwitt, N Vasconcelos, N Rasiwasia
European Conference on Computer Vision (ECCV 2012), 359-372, 2012
1112012
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
912008
Statistical topological data analysis-a kernel perspective
R Kwitt, S Huber, M Niethammer, W Lin, U Bauer
Advances in neural information processing systems 28, 2015
862015
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
862011
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
852018
Metric learning for image registration
M Niethammer, R Kwitt, FX Vialard
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
752019
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
722010
Connectivity-optimized representation learning via persistent homology
C Hofer, R Kwitt, M Niethammer, M Dixit
International Conference on Machine Learning, 2751-2760, 2019
572019
One-shot learning of scene locations via feature trajectory transfer
R Kwitt, S Hegenbart, M Niethammer
Proceedings of The IEEE conference on computer vision and pattern …, 2016
492016
Graph filtration learning
C Hofer, F Graf, B Rieck, M Niethammer, R Kwitt
International Conference on Machine Learning, 4314-4323, 2020
482020
Learning Representations of Persistence Barcodes.
CD Hofer, R Kwitt, M Niethammer
J. Mach. Learn. Res. 20 (126), 1-45, 2019
472019
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
472015
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
472011
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