Roland Kwitt

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Marc NiethammerProfessor of Computer Science, UNC Chapel HillPatvirtintas el. paštas cs.unc.edu
Xiao YangBytedance Inc.Patvirtintas el. paštas cs.unc.edu
Nuno VasconcelosProfessor of Electrical and Computer Engineering, University of California San DiegoPatvirtintas el. paštas ece.ucsd.edu
Stephen AylwardNVIDIA - Global Developer Relations, Medical TechnologiesPatvirtintas el. paštas aylward.org
Peter Meerwald-StadlerUniversity of SalzburgPatvirtintas el. paštas pmeerw.net
Stefan HuberSalzburg University of Applied SciencesPatvirtintas el. paštas sthu.org
Florian GrafUniversity of SalzburgPatvirtintas el. paštas sbg.ac.at
Mandar DixitScientist, MicrosoftPatvirtintas el. paštas microsoft.com
Martin StynerProfessor of Computer Science and Psychiatry, University of North Carolina at Chapel HillPatvirtintas el. paštas unc.edu
Yi HongShanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Michael GschwandtnerPatvirtintas el. paštas ait.ac.at
Nikhil SinghUniversity of North Carolina, Chapel Hill, University of UtahPatvirtintas el. paštas cs.utah.edu
Ulrich BauerTechnical University of MunichPatvirtintas el. paštas tum.de
Jan ReininghausInstitute of Science and Technology AustriaPatvirtintas el. paštas ist.ac.at
François-Xavier VialardProfessor, Université Gustave EiffelPatvirtintas el. paštas u-pem.fr
Sebastian HegenbartUniversity of Applied Sciences VorarlbergPatvirtintas el. paštas fhv.at
Nikhil RasiwasiaAmazon, Snapdeal, Yahoo, UCSD, Google, Microsoft.Patvirtintas el. paštas amazon.com
Matthew McCormickKitware, IncPatvirtintas el. paštas kitware.com
Hastings GreerGraduate Student, UNC Chapel HillPatvirtintas el. paštas cs.unc.edu
Bastian RieckProfessor, AIDOS Lab, University of FribourgPatvirtintas el. paštas unifr.ch

Stebėti

Roland Kwitt

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

Patvirtintas el. paštas plus.ac.at - Pagrindinis puslapis

Machine Learning Computer Vision Medical Imaging Topological Deep Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Quicksilver: Fast predictive image registration–a deep learning approach X Yang, R Kwitt, M Styner, M Niethammer NeuroImage 158, 378-396, 2017	678	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	430	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	366	2011
Deep learning with topological signatures C Hofer, R Kwitt, M Niethammer, A Uhl Advances in neural information processing systems 30, 2017	292	2017
Fast predictive image registration X Yang, R Kwitt, M Niethammer Deep Learning and Data Labeling for Medical Applications: First …, 2016	173	2016
Aga: Attribute-guided augmentation M Dixit, R Kwitt, M Niethammer, N Vasconcelos Proceedings of the IEEE conference on computer vision and pattern …, 2017	150	2017
Dissecting Supervised Contrastive Learning F Graf, C Hofer, M Niethammer, R Kwitt International Conference on Machine Learning, 3821-3830, 2021	135	2021
Lightweight probabilistic texture retrieval R Kwitt, A Uhl IEEE Transactions on Image Processing 19 (1), 241-253, 2009	119	2009
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	118	2018
Scene recognition on the semantic manifold R Kwitt, N Vasconcelos, N Rasiwasia European Conference on Computer Vision (ECCV 2012), 359-372, 2012	116	2012
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	104	2015
Graph filtration learning C Hofer, F Graf, B Rieck, M Niethammer, R Kwitt International Conference on Machine Learning, 4314-4323, 2020	101	2020
Metric learning for image registration M Niethammer, R Kwitt, FX Vialard Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	99	2019
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	92	2008
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	88	2011
Connectivity-optimized representation learning via persistent homology C Hofer, R Kwitt, M Niethammer, M Dixit International conference on machine learning, 2751-2760, 2019	83	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	77	2010
Learning representations of persistence barcodes CD Hofer, R Kwitt, M Niethammer Journal of Machine Learning Research 20 (126), 1-45, 2019	76	2019
Stochastic block models with multiple continuous attributes N Stanley, T Bonacci, R Kwitt, M Niethammer, PJ Mucha Applied Network Science 4, 1-22, 2019	69	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	63	2016

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