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Roland Kwitt
Roland Kwitt
Professor, Department of Artificial Intelligence and Human Interfaces, University of Salzburg
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Quicksilver: Fast predictive image registration–a deep learning approach
X Yang, R Kwitt, M Styner, M Niethammer
NeuroImage 158, 378-396, 2017
7282017
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
4492015
BlenSor: Blender sensor simulation toolbox
M Gschwandtner, R Kwitt, A Uhl, W Pree
Advances in Visual Computing: 7th International Symposium, ISVC 2011, Las …, 2011
3892011
Deep learning with topological signatures
C Hofer, R Kwitt, M Niethammer, A Uhl
Advances in neural information processing systems 30, 2017
3272017
Fast predictive image registration
X Yang, R Kwitt, M Niethammer
Deep Learning and Data Labeling for Medical Applications: First …, 2016
1782016
Dissecting Supervised Contrastive Learning
F Graf, C Hofer, M Niethammer, R Kwitt
International Conference on Machine Learning, 3821-3830, 2021
1632021
Aga: Attribute-guided augmentation
M Dixit, R Kwitt, M Niethammer, N Vasconcelos
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1542017
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
1252018
Graph filtration learning
C Hofer, F Graf, B Rieck, M Niethammer, R Kwitt
International Conference on Machine Learning, 4314-4323, 2020
1242020
Scene recognition on the semantic manifold
R Kwitt, N Vasconcelos, N Rasiwasia
European Conference on Computer Vision (ECCV 2012), 359-372, 2012
1192012
Lightweight probabilistic texture retrieval
R Kwitt, A Uhl
IEEE Transactions on Image Processing 19 (1), 241-253, 2009
1192009
Metric learning for image registration
M Niethammer, R Kwitt, FX Vialard
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1102019
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
1012015
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
992008
Connectivity-optimized representation learning via persistent homology
C Hofer, R Kwitt, M Niethammer, M Dixit
International conference on machine learning, 2751-2760, 2019
962019
Learning representations of persistence barcodes
CD Hofer, R Kwitt, M Niethammer
Journal of Machine Learning Research 20 (126), 1-45, 2019
882019
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
872011
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
792010
Stochastic block models with multiple continuous attributes
N Stanley, T Bonacci, R Kwitt, M Niethammer, PJ Mucha
Applied Network Science 4, 1-22, 2019
772019
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
712016
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