Roland Kwitt

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Marc NiethammerProfessor of Computer Science, UC San DiegoPatvirtintas 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
François-Xavier VialardProfessor, Université Gustave EiffelPatvirtintas el. paštas u-pem.fr
Hastings GreerGraduate Student, UNC Chapel HillPatvirtintas el. paštas cs.unc.edu
Jan ReininghausInstitute of Science and Technology AustriaPatvirtintas el. paštas ist.ac.at
Sebastian HegenbartUniversity of Applied Sciences VorarlbergPatvirtintas el. paštas fhv.at
Nikhil RasiwasiaAmazon, Snapdeal, Yahoo, UCSD, Google, Microsoft.Patvirtintas el. paštas amazon.com
Bastian RieckProfessor, AIDOS Lab, University of FribourgPatvirtintas el. paštas unifr.ch
Matthew McCormickKitware, IncPatvirtintas el. paštas kitware.com

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	728	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	449	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	391	2011
Deep learning with topological signatures C Hofer, R Kwitt, M Niethammer, A Uhl Advances in neural information processing systems 30, 2017	328	2017
Fast predictive image registration X Yang, R Kwitt, M Niethammer Deep Learning and Data Labeling for Medical Applications: First …, 2016	179	2016
Dissecting Supervised Contrastive Learning F Graf, C Hofer, M Niethammer, R Kwitt International Conference on Machine Learning, 3821-3830, 2021	164	2021
Aga: Attribute-guided augmentation M Dixit, R Kwitt, M Niethammer, N Vasconcelos Proceedings of the IEEE conference on computer vision and pattern …, 2017	154	2017
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	125	2018
Graph filtration learning C Hofer, F Graf, B Rieck, M Niethammer, R Kwitt International Conference on Machine Learning, 4314-4323, 2020	124	2020
Scene recognition on the semantic manifold R Kwitt, N Vasconcelos, N Rasiwasia European Conference on Computer Vision (ECCV 2012), 359-372, 2012	119	2012
Lightweight probabilistic texture retrieval R Kwitt, A Uhl IEEE Transactions on Image Processing 19 (1), 241-253, 2009	119	2009
Metric learning for image registration M Niethammer, R Kwitt, FX Vialard Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	111	2019
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	101	2015
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	99	2008
Connectivity-optimized representation learning via persistent homology C Hofer, R Kwitt, M Niethammer, M Dixit International conference on machine learning, 2751-2760, 2019	97	2019
Learning representations of persistence barcodes CD Hofer, R Kwitt, M Niethammer Journal of Machine Learning Research 20 (126), 1-45, 2019	88	2019
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	87	2011
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	79	2010
Stochastic block models with multiple continuous attributes N Stanley, T Bonacci, R Kwitt, M Niethammer, PJ Mucha Applied Network Science 4, 1-22, 2019	77	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	71	2016

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