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Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation


Apr 27, 2021
Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen

* Accepted at CVPR 2021 

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Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection


Apr 19, 2018
Björn Barz, Erik Rodner, Yanira Guanche Garcia, Joachim Denzler

* Accepted by TPAMI. Examples and code: https://cvjena.github.io/libmaxdiv/ 

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Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues


Jul 24, 2017
Talha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb, Sai Dileep Munugoti, Vamsi Tallam, Tomi Pitkäaho, Taina Lehtimäki, Thomas Naughton, Matt Berseth, Aníbal Pedraza, Ramakrishnan Mukundan, Matthew Smith, Abhir Bhalerao, Erik Rodner, Marcel Simon, Joachim Denzler, Chao-Hui Huang, Gloria Bueno, David Snead, Ian Ellis, Mohammad Ilyas, Nasir Rajpoot


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Generalized orderless pooling performs implicit salient matching


Jul 20, 2017
Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner

* Published at International Conference on Computer Vision (ICCV) 2017 

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Fast Learning and Prediction for Object Detection using Whitened CNN Features


Apr 12, 2017
Björn Barz, Erik Rodner, Christoph Käding, Joachim Denzler

* Technical Report about the possibilities introduced with ARTOS v2, originally created March 2016 

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Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning


Mar 10, 2017
Marc Aubreville, Christian Knipfer, Nicolai Oetter, Christian Jaremenko, Erik Rodner, Joachim Denzler, Christopher Bohr, Helmut Neumann, Florian Stelzle, Andreas Maier

* Scientific Reports 7, Article number: 11979 (2017) 
* 12 pages, 5 figures 

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Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes


Dec 19, 2016
Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler

* accepted contribution at NIPS 2016 Workshop on Continual Learning and Deep Networks 

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ImageNet pre-trained models with batch normalization


Dec 06, 2016
Marcel Simon, Erik Rodner, Joachim Denzler


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Maximally Divergent Intervals for Anomaly Detection


Oct 21, 2016
Erik Rodner, Björn Barz, Yanira Guanche, Milan Flach, Miguel Mahecha, Paul Bodesheim, Markus Reichstein, Joachim Denzler

* ICML Workshop on Anomaly Detection 

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Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches


Oct 21, 2016
Erik Rodner, Marcel Simon, Robert B. Fisher, Joachim Denzler

* BMVC 2016 Paper 

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Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets


Oct 10, 2016
Manuel Amthor, Erik Rodner, Joachim Denzler

* British Machine Vision Conference (BMVC) 2016 

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Neither Quick Nor Proper -- Evaluation of QuickProp for Learning Deep Neural Networks


Jun 15, 2016
Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler

* Technical Report, 11 pages, 6 figures 

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Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks


Dec 05, 2015
Marcel Simon, Erik Rodner

* Published at IEEE International Conference on Computer Vision (ICCV) 2015 

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Fine-grained Recognition Datasets for Biodiversity Analysis


Jul 03, 2015
Erik Rodner, Marcel Simon, Gunnar Brehm, Stephanie Pietsch, J. Wolfgang Wägele, Joachim Denzler

* CVPR FGVC Workshop 2015; dataset available 

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Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding


Feb 23, 2015
Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler

* VISAPP 2015 paper 

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Part Detector Discovery in Deep Convolutional Neural Networks


Nov 14, 2014
Marcel Simon, Erik Rodner, Joachim Denzler

* Accepted for publication on Asian Conference on Computer Vision (ACCV) 2014 

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ARTOS -- Adaptive Real-Time Object Detection System


Aug 25, 2014
Björn Barz, Erik Rodner, Joachim Denzler

* http://cvjena.github.io/artos/ 

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Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods


Aug 20, 2014
Alexander Freytag, Johannes Rühle, Paul Bodesheim, Erik Rodner, Joachim Denzler

* An abstract version of this paper was accepted for the ICPR FEAST Workshop 

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Fine-grained Categorization -- Short Summary of our Entry for the ImageNet Challenge 2012


Oct 17, 2013
Christoph Göring, Alexander Freytag, Erik Rodner, Joachim Denzler


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Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations


Aug 20, 2013
Erik Rodner, Judy Hoffman, Jeff Donahue, Trevor Darrell, Kate Saenko


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Efficient Learning of Domain-invariant Image Representations


Apr 09, 2013
Judy Hoffman, Erik Rodner, Jeff Donahue, Trevor Darrell, Kate Saenko

* ICLR 2013 

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Visual Transfer Learning: Informal Introduction and Literature Overview


Nov 06, 2012
Erik Rodner

* part of my PhD thesis 

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