Joachim Denzler

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Coauteurs

Erik RodnerUniversity of Applied Sciences (HTW Berlin)Adresse e-mail validée de htw-berlin.de
Markus ReichsteinDepartment of Biogeochemical Integration, Max-Planck-Institute for BiogeochemistryAdresse e-mail validée de bgc-jena.mpg.de
Paul BodesheimComputer Vision Group, Friedrich Schiller University Jena, GermanyAdresse e-mail validée de uni-jena.de
Alexander FreytagZEISS, Corporate Research and TechnologyAdresse e-mail validée de zeiss.com
Björn BarzCarl Zeiss AGAdresse e-mail validée de zeiss.com
Orlando Guntinas-LichiusENT Dept., Jena University Hospital, GermanyAdresse e-mail validée de med.uni-jena.de
Marcel SimonMicrosoftAdresse e-mail validée de microsoft.com
Christoph RediesProfessor of Anatomy, University of JenaAdresse e-mail validée de med.uni-jena.de
Clemens-Alexander BrustGroup Lead Secure Software Engineering at DLR Data ScienceAdresse e-mail validée de dlr.de
Maha ShadaydehResearcher, FSU Jena, GermanyAdresse e-mail validée de uni-jena.de
Christoph Kädingmachine learning engineerAdresse e-mail validée de ckaeding.net
Dietrich PaulusProfessor of Computational Visualistics, Koblenz University, GermanyAdresse e-mail validée de uni-koblenz.de
Michael KemmlerAdresse e-mail validée de uni-jena.de
Gustau Camps-VallsProfessor. Image Processing Lab (IPL). Universitat de ValènciaAdresse e-mail validée de uv.es
Björn FröhlichZEISS SMT GmbHAdresse e-mail validée de zeiss.com
Gerd Fabian VolkJena University Hospital, Facial-Nerve-Center, ENT-DepartmentAdresse e-mail validée de med.uni-jena.de
Oliver MothesComputer Vision Group, University of JenaAdresse e-mail validée de uni-jena.de
Seyed Ali AmirshahiNorwegian University of Science and TechnologyAdresse e-mail validée de ntnu.no
Daniel HaaseTechnology Specialist for Computer Vision and Machine Learning, ZEISS MicroscopyAdresse e-mail validée de dhaase.de
Marco KörnerTechnical University of Munich (TUM)Adresse e-mail validée de tum.de

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Joachim Denzler

Professor für Informatik, Friedrich-Schiller University Jena

Adresse e-mail validée de uni-jena.de

Computer Vision Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Deep learning and process understanding for data-driven Earth system science M Reichstein, G Camps-Valls, B Stevens, M Jung, J Denzler, ... Nature 566 (7743), 195-204, 2019	3479	2019
Information theoretic sensor data selection for active object recognition and state estimation J Denzler, CM Brown IEEE Transactions on pattern analysis and machine intelligence 24 (2), 145-157, 2002	342	2002
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	286	2017
Model based extraction of articulated objects in image sequences for gait analysis D Meyer, J Denzler, H Niemann Proceedings of International Conference on Image Processing 3, 78-81, 1997	261	1997
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	250	2014
One-class classification with gaussian processes M Kemmler, E Rodner, ES Wacker, J Denzler Pattern recognition 46 (12), 3507-3518, 2013	230	2013
Imagenet pre-trained models with batch normalization M Simon, E Rodner, J Denzler arXiv preprint arXiv:1612.01452, 2016	201	2016
Fractal-like image statistics in visual art: similarity to natural scenes. C Redies, J Hasenstein, J Denzler Spatial vision 21, 2007	191	2007
Deep learning on small datasets without pre-training using cosine loss B Barz, J Denzler Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020	190	2020
Plenoptic modeling and rendering from image sequences taken by a hand-held camera B Heigl, R Koch, M Pollefeys, J Denzler, L Van Gool Mustererkennung 1999: 21. DAGM-Symposium Bonn, 15.–17. September 1999, 94-101, 1999	170	1999
Kernel null space methods for novelty detection P Bodesheim, A Freytag, E Rodner, M Kemmler, J Denzler Proceedings of the IEEE conference on computer vision and pattern …, 2013	164	2013
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	152	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	149	2017
Convolutional patch networks with spatial prior for road detection and urban scene understanding CA Brust, S Sickert, M Simon, E Rodner, J Denzler arXiv preprint arXiv:1502.06344, 2015	147	2015
Active learning for deep object detection CA Brust, C Käding, J Denzler arXiv preprint arXiv:1809.09875, 2018	146	2018
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	131	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	112	2016
PHOG-derived aesthetic measures applied to color photographs of artworks, natural scenes and objects C Redies, SA Amirshahi, M Koch, J Denzler Computer Vision–ECCV 2012. Workshops and Demonstrations: Florence, Italy …, 2012	112	2012
Hierarchy-based image embeddings for semantic image retrieval B Barz, J Denzler 2019 IEEE winter conference on applications of computer vision (WACV), 638-647, 2019	109	2019
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	103	2018

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