Roland Kwitt

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Citations	3784	2671
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Marc NiethammerProfessor of Computer Science, UNC Chapel HillVerified email at cs.unc.edu
Christoph HoferPostDoc, University of SalzburgVerified email at cosy.sbg.ac.at
Xiao YangBytedance Inc.Verified email at cs.unc.edu
Nuno VasconcelosProfessor of Electrical and Computer Engineering, University of California San DiegoVerified email at ece.ucsd.edu
Peter Meerwald-StadlerUniversity of SalzburgVerified email at pmeerw.net
Stephen R. AylwardSenior Director of Strategic Initiatives, North Carolina, KitwareVerified email at kitware.com
Stefan HuberSalzburg University of Applied SciencesVerified email at sthu.org
Yi HongShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Mandar DixitScientist, MicrosoftVerified email at microsoft.com
Martin StynerAssociate Professor of Computer Science and Psychiatry, University of North Carolina at Chapel HillVerified email at unc.edu
Nikhil SinghUniversity of North Carolina, Chapel Hill, University of UtahVerified email at cs.utah.edu
Florian GrafUniversity of SalzburgVerified email at sbg.ac.at
Ulrich BauerTechnical University of MunichVerified email at tum.de
Jan ReininghausInstitute of Science and Technology AustriaVerified email at ist.ac.at
Nikhil RasiwasiaAmazon, Snapdeal, Yahoo, UCSD, Google, Microsoft.Verified email at amazon.com
Sebastian HegenbartUniversity of Applied Sciences VorarlbergVerified email at fhv.at
Matthew McCormickKitware, IncVerified email at kitware.com
Xu HanPhD student of Computer Science, UNC Chapel HillVerified email at cs.unc.edu
Sharif RazzaqueMedtronicVerified email at medtronic.com
François-Xavier VialardProfessor, Université Gustave EiffelVerified email at u-pem.fr

Roland Kwitt

Professor, Department of Artificial Intelligence and Human Interfaces, University of Salzburg

Verified email at plus.ac.at - Homepage

Machine Learning Computer Vision Medical Imaging


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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	519	2017
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	337	2015
BlenSor: Blender sensor simulation toolbox M Gschwandtner, R Kwitt, A Uhl, W Pree Advances in Visual Computing: 7th International Symposium, ISVC 2011, Las …, 2011	288	2011
Deep learning with topological signatures C Hofer, R Kwitt, M Niethammer, A Uhl Advances in neural information processing systems 30, 2017	213	2017
Fast predictive image registration X Yang, R Kwitt, M Niethammer Deep Learning and Data Labeling for Medical Applications: First …, 2016	133	2016
Aga: Attribute-guided augmentation M Dixit, R Kwitt, M Niethammer, N Vasconcelos Proceedings of the IEEE conference on computer vision and pattern …, 2017	122	2017
Lightweight probabilistic texture retrieval R Kwitt, A Uhl IEEE Transactions on Image Processing 19 (1), 241-253, 2009	118	2009
Scene recognition on the semantic manifold R Kwitt, N Vasconcelos, N Rasiwasia European Conference on Computer Vision (ECCV 2012), 359-372, 2012	111	2012
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	91	2008
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	86	2015
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	86	2011
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	85	2018
Metric learning for image registration M Niethammer, R Kwitt, FX Vialard Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	75	2019
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	72	2010
Connectivity-optimized representation learning via persistent homology C Hofer, R Kwitt, M Niethammer, M Dixit International Conference on Machine Learning, 2751-2760, 2019	57	2019
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	49	2016
Graph filtration learning C Hofer, F Graf, B Rieck, M Niethammer, R Kwitt International Conference on Machine Learning, 4314-4323, 2020	48	2020
Learning Representations of Persistence Barcodes. CD Hofer, R Kwitt, M Niethammer J. Mach. Learn. Res. 20 (126), 1-45, 2019	47	2019
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	47	2015
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	47	2011

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