Joachim Denzler

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Erik RodnerUniversity of Applied Sciences (HTW Berlin)Verified email at htw-berlin.de
Markus ReichsteinDepartment of Biogeochemical Integration, Max-Planck-Institute for BiogeochemistryVerified email at bgc-jena.mpg.de
Paul BodesheimComputer Vision Group, Friedrich Schiller University Jena, GermanyVerified email at uni-jena.de
Alexander FreytagZEISS, Corporate Research and TechnologyVerified email at zeiss.com
Björn BarzCarl Zeiss AGVerified email at zeiss.com
Orlando Guntinas-LichiusENT Dept., Jena University Hospital, GermanyVerified email at med.uni-jena.de
Marcel SimonMicrosoftVerified email at microsoft.com
Christoph RediesProfessor of Anatomy, University of JenaVerified email at med.uni-jena.de
Maha ShadaydehResearcher, FSU Jena, GermanyVerified email at uni-jena.de
Clemens-Alexander BrustGroup Lead Secure Software Engineering at DLR Data ScienceVerified email at dlr.de
Christoph Kädingmachine learning engineerVerified email at ckaeding.net
Dietrich PaulusProfessor of Computational Visualistics, Koblenz University, GermanyVerified email at uni-koblenz.de
Michael KemmlerVerified email at uni-jena.de
Gustau Camps-VallsProfessor. Image Processing Lab (IPL). Universitat de ValènciaVerified email at uv.es
Gerd Fabian VolkJena University Hospital, Facial-Nerve-Center, ENT-DepartmentVerified email at med.uni-jena.de
Björn FröhlichZEISS SMT GmbHVerified email at zeiss.com
Oliver MothesComputer Vision Group, University of JenaVerified email at uni-jena.de
Seyed Ali AmirshahiNorwegian University of Science and TechnologyVerified email at ntnu.no
Daniel HaaseTechnology Specialist for Computer Vision and Machine Learning, ZEISS MicroscopyVerified email at dhaase.de
Marco KörnerTechnical University of Munich (TUM)Verified email at tum.de

Joachim Denzler

Professor für Informatik, Friedrich-Schiller University Jena

Verified email at uni-jena.de

Computer Vision Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	3680	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	293	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	262	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	256	2014
One-class classification with gaussian processes M Kemmler, E Rodner, ES Wacker, J Denzler Pattern recognition 46 (12), 3507-3518, 2013	231	2013
Imagenet pre-trained models with batch normalization M Simon, E Rodner, J Denzler arXiv preprint arXiv:1612.01452, 2016	204	2016
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	201	2020
Fractal-like image statistics in visual art: similarity to natural scenes. C Redies, J Hasenstein, J Denzler Spatial vision 21, 2007	196	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	171	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	166	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	155	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	155	2017
Active learning for deep object detection CA Brust, C Käding, J Denzler arXiv preprint arXiv:1809.09875, 2018	148	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	146	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	131	2014
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	116	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	114	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	114	2016
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	108	2018

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