Erik Rodner

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	All	Since 2017
Citations	3734	2801
h-index	30	27
i10-index	63	49

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Joachim DenzlerProfessor für Informatik, Friedrich-Schiller University JenaVerified email at uni-jena.de
Alexander FreytagCarl Zeiss, Corporate Research and Technology & University of JenaVerified email at zeiss.com
Marcel SimonMicrosoftVerified email at microsoft.com
Paul BodesheimComputer Vision Group, Friedrich Schiller University Jena, GermanyVerified email at uni-jena.de
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Kate SaenkoBoston University & MIT-IBM Watson AI LabVerified email at bu.edu
Michael KemmlerVerified email at uni-jena.de
Jeff DonahueResearch Scientist, DeepMindVerified email at google.com
Judy HoffmanAssistant Professor, Georgia TechVerified email at gatech.edu
Björn FröhlichJenoptik AGVerified email at daimler.com
Christoph KädingInstitute of Data Science, German Aerospace Center (DLR)Verified email at dlr.de
Sven SickertComputer Vision Group, Friedrich Schiller University Jena, GermanyVerified email at uni-jena.de
Björn BarzCarl Zeiss AG, Friedrich Schiller University JenaVerified email at uni-jena.de
Yanira GuancheFriedrich Schiller University JenaVerified email at uni-jena.de
Clemens-Alexander BrustResearch Associate, DLR Data Science InstituteVerified email at dlr.de
Markus ReichsteinDepartment of Biogeochemical Integration, Max-Planck-Institute for BiogeochemistryVerified email at bgc-jena.mpg.de
Sergio GuadarramaStaff SWE at Google BrainVerified email at google.com
Andreas K. MaierUniversity of Erlangen-NurembergVerified email at fau.de
Marc AubrevilleProfessor at Technische Hochschule Ingolstadt, Ingolstadt, GermanyVerified email at thi.de
Christian JaremenkoVerified email at fau.de

Erik Rodner

University of Applied Sciences (HTW Berlin)

Verified email at htw-berlin.de - Homepage

computer vision machine learning time series analysis


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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	399	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	306	2013
One-class classification with gaussian processes M Kemmler, E Rodner, J Denzler Computer Vision–ACCV 2010, 489-500, 2011	196	2011
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), 1-10, 2017	171	2017
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	165	2013
Selecting influential examples: Active learning with expected model output changes A Freytag, E Rodner, J Denzler European conference on computer vision, 562-577, 2014	153	2014
Imagenet pre-trained models with batch normalization M Simon, E Rodner, J Denzler arXiv preprint arXiv:1612.01452, 2016	146	2016
Kernel Null Space Methods for Novelty Detection P Bodesheim, A Freytag, E Rodner, M Kemmler, J Denzler CVPR, 2013	134	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	126	2015
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	124	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 (1), 28-41, 2014	97	2014
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	86	2018
Fine-tuning deep neural networks in continuous learning scenarios C Käding, E Rodner, A Freytag, J Denzler Asian Conference on Computer Vision, 588-605, 2016	83	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	83	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 German conference on pattern recognition, 51-63, 2016	76	2016
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	66	2015
Part detector discovery in deep convolutional neural networks M Simon, E Rodner, J Denzler Asian Conference on Computer Vision, 162-177, 2014	66	2014
Local Novelty Detection in Multi-class Recognition Problems P Bodesheim, A Freytag, E Rodner, J Denzler IEEE Winter Conference on Applications of Computer Vision (WACV), 813-820, 2015	59	2015
Bildverarbeitung und Objekterkennung H Süße, E Rodner Springer Fachmedien Wiesbaden, 2014	59	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	53	2018

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