Erik Rodner

According to our database, Erik Rodner authored at least 80 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

CAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object Classification.

Dennis Ritter, Mike Hemberger, Marc Hönig, Volker Stopp, Erik Rodner, Kristian Hildebrand

CoRR, 2023

Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective.

Ricardo Knauer, Erik Rodner

Proceedings of the KI 2023: Advances in Artificial Intelligence, 2023

Foundations for applied artificial intelligence: enabling and supporting AI teaching and research.

Ricardo Knauer, Raphael Wallsberger, Marvin Grimm, Marian Bookhahn, Frank Neumann, Stephan Matzka, Erik Rodner

Proceedings of the 53. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2023, Designing Future, 2023

Blind Video Stabilization Quality Assessment based on convolutional LSTM.

Mohamed Riad Yagoubi, Seyed Ali Amirshahi, Steven Le Moan, Azeddine Beghdadi, Erik Rodner

Proceedings of the 11th European Workshop on Visual Information Processing, 2023

Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains.

Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Evaluating Zero-Cost Active Learning for Object Detection.

Dominik Probst, Hasnain Raza, Erik Rodner

Proceedings of the Software Engineering and Formal Methods. SEFM 2022 Collocated Workshops, 2022

Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation.

Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

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

Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

The Whole Is More Than Its Parts? From Explicit to Implicit Pose Normalization.

Marcel Simon, Erik Rodner, Trevor Darrell, Joachim Denzler

IEEE Trans. Pattern Anal. Mach. Intell., 2020

2019

Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection.

Björn Barz, Erik Rodner, Yanira Guanche Garcia, Joachim Denzler

IEEE Trans. Pattern Anal. Mach. Intell., 2019

2018

Workshop on Interactive and Adaptive Learning in an Open World.

Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Active Learning for Regression Tasks with Expected Model Output Changes.

Christoph Käding, Erik Rodner, Alexander Freytag, Oliver Mothes, Björn Barz, Joachim Denzler

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks.

Erik Rodner, Alexander Freytag, Paul Bodesheim, Björn Fröhlich, Joachim Denzler

Int. J. Comput. Vis., 2017

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

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

CoRR, 2017

Fast Learning and Prediction for Object Detection using Whitened CNN Features.

Björn Barz, Erik Rodner, Christoph Käding, Joachim Denzler

CoRR, 2017

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

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

CoRR, 2017

Generalized Orderless Pooling Performs Implicit Salient Matching.

Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Understanding object descriptions in robotics by open-vocabulary object retrieval and detection.

Sergio Guadarrama, Erik Rodner, Kate Saenko, Trevor Darrell

Int. J. Robotics Res., 2016

ImageNet pre-trained models with batch normalization.

Marcel Simon, Erik Rodner, Joachim Denzler

CoRR, 2016

Maximally Divergent Intervals for Anomaly Detection.

Erik Rodner, Björn Barz, Yanira Guanche, Milan Flach, Miguel D. Mahecha, Paul Bodesheim, Markus Reichstein, Joachim Denzler

CoRR, 2016

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

Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler

CoRR, 2016

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

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

CoRR, 2016

Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition.

Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Convolutional Neural Networks as a Computational Model for the Underlying Processes of Aesthetics Perception.

Joachim Denzler, Erik Rodner, Marcel Simon

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Large-Scale Active Learning with Approximations of Expected Model Output Changes.

Christoph Käding, Alexander Freytag, Erik Rodner, Andrea Perino, Joachim Denzler

Proceedings of the Pattern Recognition - 38th German Conference, 2016

Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates.

Alexander Freytag, Erik Rodner, Marcel Simon, Alexander Loos, Hjalmar S. Kühl, Joachim Denzler

Proceedings of the Pattern Recognition - 38th German Conference, 2016

SeaCLEF 2016: Object Proposal Classification for Fish Detection in Underwater Videos.

Jonas Jäger, Erik Rodner, Joachim Denzler, Viviane Wolff, Klaus Fricke-Neuderth

Proceedings of the Working Notes of CLEF 2016, 2016

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

Erik Rodner, Marcel Simon, Robert B. Fisher, Joachim Denzler

Proceedings of the British Machine Vision Conference 2016, 2016

Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets.

Manuel Amthor, Erik Rodner, Joachim Denzler

Proceedings of the British Machine Vision Conference 2016, 2016

Vegetation Segmentation in Cornfield Images Using Bag of Words.

Yerania Campos, Erik Rodner, Joachim Denzler, Humberto Sossa, Gonzalo Pajares

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016

Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios.

Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015

Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152).

Trevor Darrell, Marius Kloft, Massimiliano Pontil, Gunnar Rätsch, Erik Rodner

Dagstuhl Reports, 2015

Fine-grained Recognition Datasets for Biodiversity Analysis.

Erik Rodner, Marcel Simon, Gunnar Brehm, Stephanie Pietsch, Johann-Wolfgang Wägele, Joachim Denzler

CoRR, 2015

Local Novelty Detection in Multi-class Recognition Problems.

Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

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

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

Proceedings of the VISAPP 2015, 2015

Fine-grained classification of identity document types with only one example.

Marcel Simon, Erik Rodner, Joachim Denzler

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Beyond thinking in common categories: Predicting obstacle vulnerability using large random codebooks.

Johannes Rühle, Erik Rodner, Joachim Denzler

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks.

Marcel Simon, Erik Rodner

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Active learning and discovery of object categories in the presence of unnameable instances.

Christoph Käding, Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Asymmetric and Category Invariant Feature Transformations for Domain Adaptation.

Judy Hoffman, Erik Rodner, Jeff Donahue, Brian Kulis, Kate Saenko

Int. J. Comput. Vis., 2014

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

Alexander Freytag, Johannes Rühle, Paul Bodesheim, Erik Rodner, Joachim Denzler

CoRR, 2014

ARTOS - Adaptive Real-Time Object Detection System.

Björn Barz, Erik Rodner, Joachim Denzler

CoRR, 2014

Open-vocabulary Object Retrieval.

Sergio Guadarrama, Erik Rodner, Kate Saenko, Ning Zhang, Ryan Farrell, Jeff Donahue, Trevor Darrell

Proceedings of the Robotics: Science and Systems X, 2014

Interactive adaptation of real-time object detectors.

Daniel Goehring, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Selecting Influential Examples: Active Learning with Expected Model Output Changes.

Alexander Freytag, Erik Rodner, Joachim Denzler

Proceedings of the Computer Vision - ECCV 2014, 2014

Exemplar-Specific Patch Features for Fine-Grained Recognition.

Alexander Freytag, Erik Rodner, Trevor Darrell, Joachim Denzler

Proceedings of the Pattern Recognition - 36th German Conference, 2014

Instance-Weighted Transfer Learning of Active Appearance Models.

Daniel Haase, Erik Rodner, Joachim Denzler

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Nonparametric Part Transfer for Fine-Grained Recognition.

Christoph Göring, Erik Rodner, Alexander Freytag, Joachim Denzler

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Part Detector Discovery in Deep Convolutional Neural Networks.

Marcel Simon, Erik Rodner, Joachim Denzler

Proceedings of the Computer Vision - ACCV 2014, 2014

Bildverarbeitung und Objekterkennung - Computer Vision in Industrie und Medizin.

Herbert Süße, Erik Rodner

SpringerVieweg, ISBN: 978-3-8348-2605-3, 2014

2013

One-class classification with Gaussian processes.

Michael Kemmler, Erik Rodner, Esther-Sabrina Wacker, Joachim Denzler

Pattern Recognit., 2013

Large-scale gaussian process multi-class classification for semantic segmentation and facade recognition.

Björn Fröhlich, Erik Rodner, Michael Kemmler, Joachim Denzler

Mach. Vis. Appl., 2013

Efficient Learning of Domain-invariant Image Representations

Judy Hoffman, Erik Rodner, Jeff Donahue, Kate Saenko, Trevor Darrell

Proceedings of the 1st International Conference on Learning Representations, 2013

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

Erik Rodner, Judy Hoffman, Jeff Donahue, Trevor Darrell, Kate Saenko

CoRR, 2013

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

Christoph Göring, Alexander Freytag, Erik Rodner, Joachim Denzler

CoRR, 2013

Approximations of Gaussian Process Uncertainties for Visual Recognition Problems.

Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler

Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes.

Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler

Proceedings of the Pattern Recognition - 35th German Conference, 2013

Semi-supervised Domain Adaptation with Instance Constraints.

Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Kernel Null Space Methods for Novelty Detection.

Paul Bodesheim, Alexander Freytag, Erik Rodner, Michael Kemmler, Joachim Denzler

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Visual Transfer Learning: Informal Introduction and Literature Overview

Erik Rodner

CoRR, 2012

Efficient semantic segmentation with Gaussian processes and histogram intersection kernels.

Alexander Freytag, Björn Fröhlich, Erik Rodner, Joachim Denzler

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Multi-person Tracking-by-Detection Based on Calibrated Multi-camera Systems.

Xiaoyan Jiang, Erik Rodner, Joachim Denzler

Proceedings of the Computer Vision and Graphics - International Conference, 2012

Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels.

Erik Rodner, Alexander Freytag, Paul Bodesheim, Joachim Denzler

Proceedings of the Computer Vision - ECCV 2012, 2012

As Time Goes by - Anytime Semantic Segmentation with Iterative Context Forests.

Björn Fröhlich, Erik Rodner, Joachim Denzler

Proceedings of the Pattern Recognition, 2012

Divergence-Based One-Class Classification Using Gaussian Processes.

Paul Bodesheim, Erik Rodner, Alexander Freytag, Joachim Denzler

Proceedings of the British Machine Vision Conference, 2012

Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach.

Björn Fröhlich, Erik Rodner, Joachim Denzler

Proceedings of the Computer Vision - ACCV 2012, 2012

Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels.

Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler

Proceedings of the Computer Vision, 2012

2011

Learning with few examples for binary and multiclass classification using regularization of randomized trees.

Erik Rodner, Joachim Denzler

Pattern Recognit. Lett., 2011

One-Class Classification for Anomaly Detection in Wire Ropes with Gaussian Processes in a Few Lines of Code.

Erik Rodner, Esther-Sabrina Wacker, Michael Kemmler, Joachim Denzler

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2011), 2011

Lernen mit wenigen Beispielen für die visuelle Objekterkennung.

Erik Rodner

Proceedings of the Ausgezeichnete Informatikdissertationen 2011, 2011

Learning from Few Examples for Visual Recognition Problems.

Erik Rodner

Verlag Dr. Hut, ISBN: 978-3-8439-0249-6, 2011

2010

A Fast Approach for Pixelwise Labeling of Facade Images.

Björn Fröhlich, Erik Rodner, Joachim Denzler

Proceedings of the 20th International Conference on Pattern Recognition, 2010

One-Shot Learning of Object Categories Using Dependent Gaussian Processes.

Erik Rodner, Joachim Denzler

Proceedings of the Pattern Recognition, 2010

One-Class Classification with Gaussian Processes.

Michael Kemmler, Erik Rodner, Joachim Denzler

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

Learning with Few Examples by Transferring Feature Relevance.

Erik Rodner, Joachim Denzler

Proceedings of the Pattern Recognition, 2009

Global Context Extraction for Object Recognition Using a Combination of Range and Visual Features.

Michael Kemmler, Erik Rodner, Joachim Denzler

Proceedings of the Dynamic 3D Imaging, DAGM 2009 Workshop, 2009

Randomized Probabilistic Latent Semantic Analysis for Scene Recognition.

Erik Rodner, Joachim Denzler

Proceedings of the Progress in Pattern Recognition, 2009

2008

On fusion of range and intensity information using Graph-Cut for planar patch segmentation.

Olaf Kähler, Erik Rodner, Joachim Denzler

Int. J. Intell. Syst. Technol. Appl., 2008

Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees.

Erik Rodner, Joachim Denzler

Proceedings of the 13th International Fall Workshop on Vision, Modeling, and Visualization, 2008

Difference of Boxes Filters Revisited: Shadow Suppression and Efficient Character Segmentation.

Erik Rodner, Herbert Süße, Wolfgang Ortmann, Joachim Denzler

Proceedings of the Eighth IAPR International Workshop on Document Analysis Systems, 2008