Erik Rodner

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 39

Top Topics

Histogram Intersection

Visual Recognition Tasks

Top Venues

Publications

Ricardo Knauer, Erik Rodner
Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications. CoRR (2024)
Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains. CVPR (2023)
Ricardo Knauer, Erik Rodner
Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective. KI (2023)
Ricardo Knauer, Erik Rodner
Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective. CoRR (2023)
Dennis Ritter, Mike Hemberger, Marc Hönig, Volker Stopp, Erik Rodner, Kristian Hildebrand
CAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object Classification. CoRR (2023)
Mohamed Riad Yagoubi, Seyed Ali Amirshahi, Steven Le Moan, Azeddine Beghdadi, Erik Rodner
Blind Video Stabilization Quality Assessment based on convolutional LSTM. EUVIP (2023)
Ricardo Knauer, Raphael Wallsberger, Marvin Grimm, Marian Bookhahn, Frank Neumann, Stephan Matzka, Erik Rodner
Foundations for applied artificial intelligence: enabling and supporting AI teaching and research. GI-Jahrestagung (2023)
Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation. ECCV (21) (2022)
Dominik Probst, Hasnain Raza, Erik Rodner
Evaluating Zero-cost Active Learning for Object Detection. CoRR (2022)
Dominik Probst, Hasnain Raza, Erik Rodner
Evaluating Zero-Cost Active Learning for Object Detection. SEFM Workshops (2022)
Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation. CVPR (2021)
Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation. CoRR (2021)
Marcel Simon, Erik Rodner, Trevor Darrell, Joachim Denzler
The Whole Is More Than Its Parts? From Explicit to Implicit Pose Normalization. IEEE Trans. Pattern Anal. Mach. Intell. 42 (3) (2020)
Björn Barz, Erik Rodner, Yanira Guanche Garcia, Joachim Denzler
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 41 (5) (2019)
Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner
Workshop on Interactive and Adaptive Learning in an Open World. ECCV Workshops (6) (2018)
Christoph Käding, Erik Rodner, Alexander Freytag, Oliver Mothes, Björn Barz, Joachim Denzler
Active Learning for Regression Tasks with Expected Model Output Changes. BMVC (2018)
Björn Barz, Erik Rodner, Yanira Guanche Garcia, Joachim Denzler
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection. CoRR (2018)
Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner
Generalized orderless pooling performs implicit salient matching. CoRR (2017)
Erik Rodner, Alexander Freytag, Paul Bodesheim, Björn Fröhlich, Joachim Denzler
Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks. Int. J. Comput. Vis. 121 (2) (2017)
Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner
Generalized Orderless Pooling Performs Implicit Salient Matching. ICCV (2017)
Marc Aubreville, Christian Knipfer, Nicolai Oetter, Christian Jaremenko, Erik Rodner, Joachim Denzler, Christopher Bohr, Helmut Neumann, Florian Stelzle, Andreas K. Maier
Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning. CoRR (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 R. J. Snead, Ian O. Ellis, Mohammad Ilyas, Nasir M. Rajpoot
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues. CoRR (2017)
Björn Barz, Erik Rodner, Christoph Käding, Joachim Denzler
Fast Learning and Prediction for Object Detection using Whitened CNN Features. CoRR (2017)
Joachim Denzler, Erik Rodner, Marcel Simon
Convolutional Neural Networks as a Computational Model for the Underlying Processes of Aesthetics Perception. ECCV Workshops (1) (2016)
Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler
Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios. ACCV Workshops (3) (2016)
Manuel Amthor, Erik Rodner, Joachim Denzler
Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets. CoRR (2016)
Sergio Guadarrama, Erik Rodner, Kate Saenko, Trevor Darrell
Understanding object descriptions in robotics by open-vocabulary object retrieval and detection. Int. J. Robotics Res. 35 (1-3) (2016)
Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler
Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes. CoRR (2016)
Erik Rodner, Marcel Simon, Robert B. Fisher, Joachim Denzler
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches. BMVC (2016)
Erik Rodner, Björn Barz, Yanira Guanche, Milan Flach, Miguel D. Mahecha, Paul Bodesheim, Markus Reichstein, Joachim Denzler
Maximally Divergent Intervals for Anomaly Detection. CoRR (2016)
Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler
Neither Quick Nor Proper - Evaluation of QuickProp for Learning Deep Neural Networks. CoRR (2016)
Jonas Jäger, Erik Rodner, Joachim Denzler, Viviane Wolff, Klaus Fricke-Neuderth
SeaCLEF 2016: Object Proposal Classification for Fish Detection in Underwater Videos. CLEF (Working Notes) (2016)
Marcel Simon, Erik Rodner, Joachim Denzler
ImageNet pre-trained models with batch normalization. CoRR (2016)
Erik Rodner, Marcel Simon, Robert B. Fisher, Joachim Denzler
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches. CoRR (2016)
Yerania Campos, Erik Rodner, Joachim Denzler, Humberto Sossa, Gonzalo Pajares
Vegetation Segmentation in Cornfield Images Using Bag of Words. ACIVS (2016)
Manuel Amthor, Erik Rodner, Joachim Denzler
Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets. BMVC (2016)
Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler
Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition. ESANN (2016)
Christoph Käding, Alexander Freytag, Erik Rodner, Andrea Perino, Joachim Denzler
Large-Scale Active Learning with Approximations of Expected Model Output Changes. GCPR (2016)
Alexander Freytag, Erik Rodner, Marcel Simon, Alexander Loos, Hjalmar S. Kühl, Joachim Denzler
Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates. GCPR (2016)
Johannes Rühle, Erik Rodner, Joachim Denzler
Beyond thinking in common categories: Predicting obstacle vulnerability using large random codebooks. MVA (2015)
Erik Rodner, Marcel Simon, Gunnar Brehm, Stephanie Pietsch, Johann-Wolfgang Wägele, Joachim Denzler
Fine-grained Recognition Datasets for Biodiversity Analysis. CoRR (2015)
Marcel Simon, Erik Rodner
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks. ICCV (2015)
Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler
Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding. CoRR (2015)
Trevor Darrell, Marius Kloft, Massimiliano Pontil, Gunnar Rätsch, Erik Rodner
Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152). Dagstuhl Reports 5 (4) (2015)
Marcel Simon, Erik Rodner
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks. CoRR (2015)
Marcel Simon, Erik Rodner, Joachim Denzler
Fine-grained classification of identity document types with only one example. MVA (2015)
Christoph Käding, Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler
Active learning and discovery of object categories in the presence of unnameable instances. CVPR (2015)
Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler
Local Novelty Detection in Multi-class Recognition Problems. WACV (2015)
Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler
Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding. VISAPP (2) (2015)
Alexander Freytag, Johannes Rühle, Paul Bodesheim, Erik Rodner, Joachim Denzler
Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods. CoRR (2014)
Marcel Simon, Erik Rodner, Joachim Denzler
Part Detector Discovery in Deep Convolutional Neural Networks. CoRR (2014)
Daniel Goehring, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell
Interactive adaptation of real-time object detectors. ICRA (2014)
Marcel Simon, Erik Rodner, Joachim Denzler
Part Detector Discovery in Deep Convolutional Neural Networks. ACCV (2) (2014)
Alexander Freytag, Erik Rodner, Joachim Denzler
Selecting Influential Examples: Active Learning with Expected Model Output Changes. ECCV (4) (2014)
Daniel Haase, Erik Rodner, Joachim Denzler
Instance-Weighted Transfer Learning of Active Appearance Models. CVPR (2014)
Judy Hoffman, Erik Rodner, Jeff Donahue, Brian Kulis, Kate Saenko
Asymmetric and Category Invariant Feature Transformations for Domain Adaptation. Int. J. Comput. Vis. 109 (1-2) (2014)
Sergio Guadarrama, Erik Rodner, Kate Saenko, Ning Zhang, Ryan Farrell, Jeff Donahue, Trevor Darrell
Open-vocabulary Object Retrieval. Robotics: Science and Systems (2014)
Björn Barz, Erik Rodner, Joachim Denzler
ARTOS - Adaptive Real-Time Object Detection System. CoRR (2014)
Christoph Göring, Erik Rodner, Alexander Freytag, Joachim Denzler
Nonparametric Part Transfer for Fine-Grained Recognition. CVPR (2014)
Alexander Freytag, Erik Rodner, Trevor Darrell, Joachim Denzler
Exemplar-Specific Patch Features for Fine-Grained Recognition. GCPR (2014)
Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell
Semi-supervised Domain Adaptation with Instance Constraints. CVPR (2013)
Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler
Approximations of Gaussian Process Uncertainties for Visual Recognition Problems. SCIA (2013)
Erik Rodner, Judy Hoffman, Jeff Donahue, Trevor Darrell, Kate Saenko
Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations. CoRR (2013)
Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler
Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes. GCPR (2013)
Paul Bodesheim, Alexander Freytag, Erik Rodner, Michael Kemmler, Joachim Denzler
Kernel Null Space Methods for Novelty Detection. CVPR (2013)
Christoph Göring, Alexander Freytag, Erik Rodner, Joachim Denzler
Fine-grained Categorization - Short Summary of our Entry for the ImageNet Challenge 2012. CoRR (2013)
Michael Kemmler, Erik Rodner, Esther-Sabrina Wacker, Joachim Denzler
One-class classification with Gaussian processes. Pattern Recognit. 46 (12) (2013)
Björn Fröhlich, Erik Rodner, Michael Kemmler, Joachim Denzler
Large-scale gaussian process multi-class classification for semantic segmentation and facade recognition. Mach. Vis. Appl. 24 (5) (2013)
Judy Hoffman, Erik Rodner, Jeff Donahue, Kate Saenko, Trevor Darrell
Efficient Learning of Domain-invariant Image Representations ICLR (Poster) (2013)
Erik Rodner, Alexander Freytag, Paul Bodesheim, Joachim Denzler
Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels. ECCV (4) (2012)
Björn Fröhlich, Erik Rodner, Joachim Denzler
Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach. ACCV (1) (2012)
Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler
Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels. ACCV (2) (2012)
Paul Bodesheim, Erik Rodner, Alexander Freytag, Joachim Denzler
Divergence-Based One-Class Classification Using Gaussian Processes. BMVC (2012)
Xiaoyan Jiang, Erik Rodner, Joachim Denzler
Multi-person Tracking-by-Detection Based on Calibrated Multi-camera Systems. ICCVG (2012)
Alexander Freytag, Björn Fröhlich, Erik Rodner, Joachim Denzler
Efficient semantic segmentation with Gaussian processes and histogram intersection kernels. ICPR (2012)
Björn Fröhlich, Erik Rodner, Joachim Denzler
As Time Goes by - Anytime Semantic Segmentation with Iterative Context Forests. DAGM/OAGM Symposium (2012)
Erik Rodner
Visual Transfer Learning: Informal Introduction and Literature Overview CoRR (2012)
Erik Rodner, Joachim Denzler
Learning with few examples for binary and multiclass classification using regularization of randomized trees. Pattern Recognit. Lett. 32 (2) (2011)
Erik Rodner, Esther-Sabrina Wacker, Michael Kemmler, Joachim Denzler
One-Class Classification for Anomaly Detection in Wire Ropes with Gaussian Processes in a Few Lines of Code. MVA (2011)
Erik Rodner
Lernen mit wenigen Beispielen für die visuelle Objekterkennung. Ausgezeichnete Informatikdissertationen (2011)
Erik Rodner, Joachim Denzler
One-Shot Learning of Object Categories Using Dependent Gaussian Processes. DAGM-Symposium (2010)
Björn Fröhlich, Erik Rodner, Joachim Denzler
A Fast Approach for Pixelwise Labeling of Facade Images. ICPR (2010)
Michael Kemmler, Erik Rodner, Joachim Denzler
One-Class Classification with Gaussian Processes. ACCV (2) (2010)
Erik Rodner, Joachim Denzler
Learning with Few Examples by Transferring Feature Relevance. DAGM-Symposium (2009)
Erik Rodner, Joachim Denzler
Randomized Probabilistic Latent Semantic Analysis for Scene Recognition. CIARP (2009)
Michael Kemmler, Erik Rodner, Joachim Denzler
Global Context Extraction for Object Recognition Using a Combination of Range and Visual Features. Dyn3D (2009)
Erik Rodner, Joachim Denzler
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees. VMV (2008)
Olaf Kähler, Erik Rodner, Joachim Denzler
On fusion of range and intensity information using Graph-Cut for planar patch segmentation. Int. J. Intell. Syst. Technol. Appl. 5 (3/4) (2008)
Erik Rodner, Herbert Süße, Wolfgang Ortmann, Joachim Denzler
Difference of Boxes Filters Revisited: Shadow Suppression and Efficient Character Segmentation. Document Analysis Systems (2008)