Erik Rodner

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Joachim DenzlerProfessor für Informatik, Friedrich-Schiller University JenaDirección de correo verificada de uni-jena.de
Alexander FreytagZEISS, Corporate Research and TechnologyDirección de correo verificada de zeiss.com
Marcel SimonMicrosoftDirección de correo verificada de microsoft.com
Paul BodesheimComputer Vision Group, Friedrich Schiller University Jena, GermanyDirección de correo verificada de uni-jena.de
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyDirección de correo verificada de eecs.berkeley.edu
Kate SaenkoBoston UniversityDirección de correo verificada de bu.edu
Jeff DonahueResearch Scientist, DeepMindDirección de correo verificada de google.com
Michael KemmlerDirección de correo verificada de uni-jena.de
Judy HoffmanAssistant Professor, Georgia TechDirección de correo verificada de gatech.edu
Björn FröhlichJenoptik AGDirección de correo verificada de daimler.com
Christoph Kädingfreelance machine learning engineerDirección de correo verificada de ckaeding.net
Sven SickertComputer Vision Group, Friedrich Schiller University Jena, GermanyDirección de correo verificada de uni-jena.de
Björn BarzCarl Zeiss AGDirección de correo verificada de zeiss.com
Yanira GuancheFriedrich Schiller University JenaDirección de correo verificada de uni-jena.de
Rainer StiefelhagenKarlsruhe Institute of Technology, Karlsruhe, GermanyDirección de correo verificada de kit.edu
Constantin SeiboldUK-Essen, Clinic for Nuclear MedicineDirección de correo verificada de kit.edu
Clemens-Alexander BrustGroup Lead Secure Software Engineering at DLR Data ScienceDirección de correo verificada de dlr.de
Markus ReichsteinDepartment of Biogeochemical Integration, Max-Planck-Institute for BiogeochemistryDirección de correo verificada de bgc-jena.mpg.de
Simon ReißKarlsruhe Institute of TechnologyDirección de correo verificada de kit.edu
Andreas K. MaierUniversity of Erlangen-NurembergDirección de correo verificada de fau.de

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Erik Rodner

University of Applied Sciences (HTW Berlin)

Dirección de correo verificada de htw-berlin.de - Página principal

computer vision machine learning time series analysis


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Neural activation constellations: Unsupervised part model discovery with convolutional networks M Simon, E Rodner Proceedings of the IEEE international conference on computer vision, 1143-1151, 2015	465	2015
Efficient Learning of Domain-invariant Image Representations J Hoffman, E Rodner, J Donahue, K Saenko, T Darrell International Conference on Learning Representations (ICLR 2013), 2013	354	2013
Automatic classification of cancerous tissue in laserendomicroscopy images of the oral cavity using deep learning M Aubreville, C Knipfer, N Oetter, C Jaremenko, E Rodner, J Denzler, ... Scientific reports 7 (1), 11979, 2017	260	2017
Selecting influential examples: Active learning with expected model output changes A Freytag, E Rodner, J Denzler Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014	229	2014
One-class classification with gaussian processes M Kemmler, E Rodner, J Denzler Computer Vision–ACCV 2010, 489-500, 2011	223	2011
Semi-supervised domain adaptation with instance constraints J Donahue, J Hoffman, E Rodner, K Saenko, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2013	202	2013
Imagenet pre-trained models with batch normalization M Simon, E Rodner, J Denzler arXiv preprint arXiv:1612.01452, 2016	183	2016
Kernel Null Space Methods for Novelty Detection P Bodesheim, A Freytag, E Rodner, M Kemmler, J Denzler CVPR, 2013	155	2013
Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding CA Brust, S Sickert, M Simon, E Rodner, J Denzler VISAPP, 2015	145	2015
Her 2 challenge contest: a detailed assessment of automated her 2 scoring algorithms in whole slide images of breast cancer tissues T Qaiser, A Mukherjee, C Reddy Pb, SD Munugoti, V Tallam, T Pitkäaho, ... Histopathology 72 (2), 227-238, 2018	140	2018
Fine-tuning deep neural networks in continuous learning scenarios C Käding, E Rodner, A Freytag, J Denzler Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops …, 2017	136	2017
Nonparametric part transfer for fine-grained recognition C Goring, E Rodner, A Freytag, J Denzler Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014	129	2014
Asymmetric and category invariant feature transformations for domain adaptation J Hoffman, E Rodner, J Donahue, B Kulis, K Saenko International journal of computer vision 109, 28-41, 2014	118	2014
Chimpanzee faces in the wild: Log-euclidean CNNs for predicting identities and attributes of primates A Freytag, E Rodner, M Simon, A Loos, HS Kühl, J Denzler Pattern Recognition: 38th German Conference, GCPR 2016, Hannover, Germany …, 2016	101	2016
Open-vocabulary Object Retrieval. S Guadarrama, E Rodner, K Saenko, N Zhang, R Farrell, J Donahue, ... Robotics: science and systems 2 (5), 6, 2014	93	2014
Detecting regions of maximal divergence for spatio-temporal anomaly detection B Barz, E Rodner, YG Garcia, J Denzler IEEE transactions on pattern analysis and machine intelligence 41 (5), 1088-1101, 2018	89	2018
Bildverarbeitung und Objekterkennung H Süße, E Rodner Springer Fachmedien Wiesbaden, 2014	87	2014
Part detector discovery in deep convolutional neural networks M Simon, E Rodner, J Denzler Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015	80	2015
Every annotation counts: Multi-label deep supervision for medical image segmentation S Reiß, C Seibold, A Freytag, E Rodner, R Stiefelhagen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	73	2021
Active learning and discovery of object categories in the presence of unnameable instances C Kading, A Freytag, E Rodner, P Bodesheim, J Denzler Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	70	2015

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