Joachim Denzler

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Erik RodnerUniversity of Applied Sciences (HTW Berlin)Email confirmado em htw-berlin.de
Markus ReichsteinDepartment of Biogeochemical Integration, Max-Planck-Institute for BiogeochemistryEmail confirmado em bgc-jena.mpg.de
Paul BodesheimComputer Vision Group, Friedrich Schiller University Jena, GermanyEmail confirmado em uni-jena.de
Alexander FreytagZEISS, Corporate Research and TechnologyEmail confirmado em zeiss.com
Björn BarzCarl Zeiss AGEmail confirmado em zeiss.com
Orlando Guntinas-LichiusENT Dept., Jena University Hospital, GermanyEmail confirmado em med.uni-jena.de
Marcel SimonMicrosoftEmail confirmado em microsoft.com
Maha ShadaydehResearcher, FSU Jena, GermanyEmail confirmado em uni-jena.de
Christoph RediesProfessor of Anatomy, University of JenaEmail confirmado em med.uni-jena.de
Clemens-Alexander BrustGroup Lead Secure Software Engineering at DLR Data ScienceEmail confirmado em dlr.de
Christoph Kädingmachine learning engineerEmail confirmado em ckaeding.net
Dietrich PaulusProfessor of Computational Visualistics, Koblenz University, GermanyEmail confirmado em uni-koblenz.de
Michael KemmlerEmail confirmado em uni-jena.de
Gustau Camps-Valls (ORCID: 0000-00...Professor. Image Processing Lab (IPL). Universitat de ValènciaEmail confirmado em uv.es
Gerd Fabian VolkJena University Hospital, Facial-Nerve-Center, ENT-DepartmentEmail confirmado em med.uni-jena.de
Björn FröhlichZEISS SMT GmbHEmail confirmado em zeiss.com
Oliver MothesComputer Vision Group, University of JenaEmail confirmado em uni-jena.de
Seyed Ali AmirshahiNorwegian University of Science and TechnologyEmail confirmado em ntnu.no
Daniel HaaseTechnology Specialist for Computer Vision and Machine Learning, ZEISS MicroscopyEmail confirmado em dhaase.de
Marco KörnerTechnical University of Munich (TUM)Email confirmado em tum.de

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Joachim Denzler

Professor für Informatik, Friedrich-Schiller University Jena

Email confirmado em uni-jena.de

Computer Vision Machine Learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	3871	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	345	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	306	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	267	2014
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	262	1997
One-class classification with gaussian processes M Kemmler, E Rodner, ES Wacker, J Denzler Pattern recognition 46 (12), 3507-3518, 2013	232	2013
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	212	2020
Imagenet pre-trained models with batch normalization M Simon, E Rodner, J Denzler arXiv preprint arXiv:1612.01452, 2016	208	2016
Fractal-like image statistics in visual art: similarity to natural scenes. C Redies, J Hasenstein, J Denzler Spatial vision 21, 2007	200	2007
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	173	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	167	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	162	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	157	2017
Active learning for deep object detection CA Brust, C Käding, J Denzler arXiv preprint arXiv:1809.09875, 2018	152	2018
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	150	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	132	2014
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	122	2019
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	118	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	118	2012
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	112	2018

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