Erik Rodner - RankMe

109 papers A* 11A 5B 5C 1Misc 6Journal 46Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Embedding World Knowledge into Tabular Models: Towards Best Practices for Embedding Pipeline Design. CoRR Oksana Kolomenko, Ricardo Knauer, Erik Rodner
2026	J	`jnl`	In Search of Grandmother Cells: Tracing Interpretable Neurons in Tabular Representations. CoRR Ricardo Knauer, Erik Rodner
2026	J	`jnl`	LLMStructBench: Benchmarking Large Language Model Structured Data Extraction. CoRR Sönke Tenckhoff, Mario Koddenbrock, Erik Rodner
2026	J	`jnl`	SCAM: A Real-World Typographic Robustness Evaluation for Multimodal Foundation Models. J. Data-centric Mach. Learn. Res. Justus Westerhoff, Erblina Purelku, Jakob Hackstein, Jonas Loos, Leo Pinetzki, Erik Rodner, Lorenz Hufe
2025	—	`conf`	'Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree': Zero-Shot Decision Tree Induction and Embedding with Large Language Models. KDD (2) Ricardo Knauer, Mario Koddenbrock, Raphael Wallsberger, Nicholas M. Brisson, Georg N. Duda, Deborah Falla, David W. Evans, Erik Rodner
2025	—	`conf`	Early Insights on an Open-Source Assistant Framework for Student Service Interaction. INFORMATIK Florian Dewes, Erik Rodner, Tilo Wendler
2025	J	`jnl`	Is Visual in-Context Learning for Compositional Medical Tasks within Reach? CoRR Simon Reiß, Zdravko Marinov, Alexander Jaus, Constantin Seibold, M. Saquib Sarfraz, Erik Rodner, Rainer Stiefelhagen
2025	Misc	`conf`	On the Domain Robustness of Contrastive Vision-Language Models. KI Mario Koddenbrock, Rudolf Hoffmann, David Brodmann, Erik Rodner
2025	J	`jnl`	On the Domain Robustness of Contrastive Vision-Language Models. CoRR Mario Koddenbrock, Rudolf Hoffmann, David Brodmann, Erik Rodner
2025	J	`jnl`	Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation. CoRR Justus Westerhoff, Golzar Atefi, Mario Koddenbrock, Alexei Figueroa, Alexander Löser, Erik Rodner, Felix A. Gers
2025	J	`jnl`	Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation. Trans. Mach. Learn. Res. Justus Westerhoff, Golzar Atefi, Mario Koddenbrock, Alexei Figueroa, Alexander Löser, Erik Rodner, Felix Alexander Gers
2024	J	`jnl`	"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models. CoRR Ricardo Knauer, Mario Koddenbrock, Raphael Wallsberger, Nicholas M. Brisson, Georg N. Duda, Deborah Falla, David W. Evans, Erik Rodner
2024	—	`conf`	Eine Methode für die Potenzialanalyse zur Identifikation von Anwendungsszenarien für Maschinelles Lernen. INFORMATIK Frank Fuchs-Kittowski, Paul Schulze, Andreas Abecker, Jonas Lachowitzer, Stefan Lossow, Heino Rudolf, Erik Rodner
2024	J	`jnl`	Feedback-driven object detection and iterative model improvement. CoRR Sönke Tenckhoff, Mario Koddenbrock, Erik Rodner
2024	—	`conf`	Lecturers' Perspectives Regarding AI Competencies for Non-computer Science Students in Undergraduate Education. OCCE Kamilla Tenório, Ricardo Knauer, Raphael Wallsberger, Erik Rodner, Ralf Romeike
2024	J	`jnl`	PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications. CoRR Ricardo Knauer, Marvin Grimm, Erik Rodner
2024	J	`jnl`	Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications. CoRR Ricardo Knauer, Erik Rodner
2024	—	`conf`	Zum Einsatz von Maschinellem Lernen in der Umweltverwaltung: Der Simplex4Learning Ansatz. INFORMATIK Andreas Abecker, Matthias Budde, Frank Fuchs-Kittowski, Janik Großmann, Werner Koch, Jonas Lachowitzer, Stefan Lossow, Erik Rodner, Heino Rudolf, Paul Schulze
2023	—	`conf`	Blind Video Stabilization Quality Assessment based on convolutional LSTM. EUVIP Mohamed Riad Yagoubi, Seyed Ali Amirshahi, Steven Le Moan, Azeddine Beghdadi, Erik Rodner
2023	—	`conf`	CAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object Classification. PKDD/ECML Workshops (4) Dennis Ritter, Mike Hemberger, Marc Hönig, Volker Stopp, Erik Rodner, Kristian Hildebrand
2023	J	`jnl`	CAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object Classification. CoRR Dennis Ritter, Mike Hemberger, Marc Hönig, Volker Stopp, Erik Rodner, Kristian Hildebrand
2023	Misc	`conf`	Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective. KI Ricardo Knauer, Erik Rodner
2023	J	`jnl`	Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective. CoRR Ricardo Knauer, Erik Rodner
2023	A*	`conf`	Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains. CVPR Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
2023	—	`conf`	Foundations for applied artificial intelligence: enabling and supporting AI teaching and research. GI-Jahrestagung Ricardo Knauer, Raphael Wallsberger, Marvin Grimm, Marian Bookhahn, Frank Neumann, Stephan Matzka, Erik Rodner
2022	—	`conf`	Evaluating Zero-Cost Active Learning for Object Detection. SEFM Workshops Dominik Probst, Hasnain Raza, Erik Rodner
2022	J	`jnl`	Evaluating Zero-cost Active Learning for Object Detection. CoRR Dominik Probst, Hasnain Raza, Erik Rodner
2022	—	`conf`	Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation. ECCV (21) Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
2021	A*	`conf`	Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation. CVPR Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
2021	J	`jnl`	Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation. CoRR Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
2020	J	`jnl`	The Whole Is More Than Its Parts? From Explicit to Implicit Pose Normalization. IEEE Trans. Pattern Anal. Mach. Intell. Marcel Simon, Erik Rodner, Trevor Darrell, Joachim Denzler
2019	J	`jnl`	Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. Björn Barz, Erik Rodner, Yanira Guanche Garcia, Joachim Denzler
2018	A	`conf`	Active Learning for Regression Tasks with Expected Model Output Changes. BMVC Christoph Käding, Erik Rodner, Alexander Freytag, Oliver Mothes, Björn Barz, Joachim Denzler
2018	J	`jnl`	Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection. CoRR Björn Barz, Erik Rodner, Yanira Guanche Garcia, Joachim Denzler
2018	—	`conf`	Workshop on Interactive and Adaptive Learning in an Open World. ECCV Workshops (6) Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner
2017	J	`jnl`	Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning. CoRR Marc Aubreville, Christian Knipfer, Nicolai Oetter, Christian Jaremenko, Erik Rodner, Joachim Denzler, Christopher Bohr, Helmut Neumann, Florian Stelzle, Andreas K. Maier
2017	J	`jnl`	Fast Learning and Prediction for Object Detection using Whitened CNN Features. CoRR Björn Barz, Erik Rodner, Christoph Käding, Joachim Denzler
2017	A*	`conf`	Generalized Orderless Pooling Performs Implicit Salient Matching. ICCV Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner
2017	J	`jnl`	Generalized orderless pooling performs implicit salient matching. CoRR Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner
2017	J	`jnl`	Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues. CoRR 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
2017	J	`jnl`	Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks. Int. J. Comput. Vis. Erik Rodner, Alexander Freytag, Paul Bodesheim, Björn Fröhlich, Joachim Denzler
2016	J	`jnl`	Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes. CoRR Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler
2016	—	`conf`	Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates. GCPR Alexander Freytag, Erik Rodner, Marcel Simon, Alexander Loos, Hjalmar S. Kühl, Joachim Denzler
2016	—	`conf`	Convolutional Neural Networks as a Computational Model for the Underlying Processes of Aesthetics Perception. ECCV Workshops (1) Joachim Denzler, Erik Rodner, Marcel Simon
2016	—	`conf`	Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios. ACCV Workshops (3) Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler
2016	A	`conf`	Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches. BMVC Erik Rodner, Marcel Simon, Robert B. Fisher, Joachim Denzler
2016	J	`jnl`	Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches. CoRR Erik Rodner, Marcel Simon, Robert B. Fisher, Joachim Denzler
2016	J	`jnl`	ImageNet pre-trained models with batch normalization. CoRR Marcel Simon, Erik Rodner, Joachim Denzler
2016	A	`conf`	Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets. BMVC Manuel Amthor, Erik Rodner, Joachim Denzler
2016	J	`jnl`	Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets. CoRR Manuel Amthor, Erik Rodner, Joachim Denzler
2016	—	`conf`	Large-Scale Active Learning with Approximations of Expected Model Output Changes. GCPR Christoph Käding, Alexander Freytag, Erik Rodner, Andrea Perino, Joachim Denzler
2016	J	`jnl`	Maximally Divergent Intervals for Anomaly Detection. CoRR Erik Rodner, Björn Barz, Yanira Guanche, Milan Flach, Miguel D. Mahecha, Paul Bodesheim, Markus Reichstein, Joachim Denzler
2016	J	`jnl`	Neither Quick Nor Proper - Evaluation of QuickProp for Learning Deep Neural Networks. CoRR Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler
2016	—	`conf`	SeaCLEF 2016: Object Proposal Classification for Fish Detection in Underwater Videos. CLEF (Working Notes) Jonas Jäger, Erik Rodner, Joachim Denzler, Viviane Wolff, Klaus Fricke-Neuderth
2016	J	`jnl`	Understanding object descriptions in robotics by open-vocabulary object retrieval and detection. Int. J. Robotics Res. Sergio Guadarrama, Erik Rodner, Kate Saenko, Trevor Darrell
2016	B	`conf`	Vegetation Segmentation in Cornfield Images Using Bag of Words. ACIVS Yerania Campos, Erik Rodner, Joachim Denzler, Humberto Sossa, Gonzalo Pajares
2016	B	`conf`	Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition. ESANN Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler
2015	A*	`conf`	Active learning and discovery of object categories in the presence of unnameable instances. CVPR Christoph Käding, Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler
2015	Misc	`conf`	Beyond thinking in common categories: Predicting obstacle vulnerability using large random codebooks. MVA Johannes Rühle, Erik Rodner, Joachim Denzler
2015	—	`conf`	Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding. VISAPP (2) Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler
2015	J	`jnl`	Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding. CoRR Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler
2015	J	`jnl`	Fine-grained Recognition Datasets for Biodiversity Analysis. CoRR Erik Rodner, Marcel Simon, Gunnar Brehm, Stephanie Pietsch, Johann-Wolfgang Wägele, Joachim Denzler
2015	Misc	`conf`	Fine-grained classification of identity document types with only one example. MVA Marcel Simon, Erik Rodner, Joachim Denzler
2015	A	`conf`	Local Novelty Detection in Multi-class Recognition Problems. WACV Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler
2015	J	`jnl`	Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152). Dagstuhl Reports Trevor Darrell, Marius Kloft, Massimiliano Pontil, Gunnar Rätsch, Erik Rodner
2015	A*	`conf`	Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks. ICCV Marcel Simon, Erik Rodner
2015	J	`jnl`	Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks. CoRR Marcel Simon, Erik Rodner
2014	J	`jnl`	ARTOS - Adaptive Real-Time Object Detection System. CoRR Björn Barz, Erik Rodner, Joachim Denzler
2014	J	`jnl`	Asymmetric and Category Invariant Feature Transformations for Domain Adaptation. Int. J. Comput. Vis. Judy Hoffman, Erik Rodner, Jeff Donahue, Brian Kulis, Kate Saenko
2014	—	`book`	Bildverarbeitung und Objekterkennung - Computer Vision in Industrie und Medizin. Herbert Süße, Erik Rodner
2014	—	`conf`	Exemplar-Specific Patch Features for Fine-Grained Recognition. GCPR Alexander Freytag, Erik Rodner, Trevor Darrell, Joachim Denzler
2014	A*	`conf`	Instance-Weighted Transfer Learning of Active Appearance Models. CVPR Daniel Haase, Erik Rodner, Joachim Denzler
2014	A*	`conf`	Interactive adaptation of real-time object detectors. ICRA Daniel Goehring, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell
2014	A*	`conf`	Nonparametric Part Transfer for Fine-Grained Recognition. CVPR Christoph Göring, Erik Rodner, Alexander Freytag, Joachim Denzler
2014	—	`conf`	Open-vocabulary Object Retrieval. Robotics: Science and Systems Sergio Guadarrama, Erik Rodner, Kate Saenko, Ning Zhang, Ryan Farrell, Jeff Donahue, Trevor Darrell
2014	—	`conf`	Part Detector Discovery in Deep Convolutional Neural Networks. ACCV (2) Marcel Simon, Erik Rodner, Joachim Denzler
2014	J	`jnl`	Part Detector Discovery in Deep Convolutional Neural Networks. CoRR Marcel Simon, Erik Rodner, Joachim Denzler
2014	J	`jnl`	Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods. CoRR Alexander Freytag, Johannes Rühle, Paul Bodesheim, Erik Rodner, Joachim Denzler
2014	—	`conf`	Selecting Influential Examples: Active Learning with Expected Model Output Changes. ECCV (4) Alexander Freytag, Erik Rodner, Joachim Denzler
2013	—	`conf`	Approximations of Gaussian Process Uncertainties for Visual Recognition Problems. SCIA Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler
2013	A*	`conf`	Efficient Learning of Domain-invariant Image Representations ICLR (Poster) Judy Hoffman, Erik Rodner, Jeff Donahue, Kate Saenko, Trevor Darrell
2013	J	`jnl`	Fine-grained Categorization - Short Summary of our Entry for the ImageNet Challenge 2012. CoRR Christoph Göring, Alexander Freytag, Erik Rodner, Joachim Denzler
2013	A*	`conf`	Kernel Null Space Methods for Novelty Detection. CVPR Paul Bodesheim, Alexander Freytag, Erik Rodner, Michael Kemmler, Joachim Denzler
2013	—	`conf`	Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes. GCPR Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler
2013	J	`jnl`	Large-scale gaussian process multi-class classification for semantic segmentation and facade recognition. Mach. Vis. Appl. Björn Fröhlich, Erik Rodner, Michael Kemmler, Joachim Denzler
2013	J	`jnl`	One-class classification with Gaussian processes. Pattern Recognit. Michael Kemmler, Erik Rodner, Esther-Sabrina Wacker, Joachim Denzler
2013	A*	`conf`	Semi-supervised Domain Adaptation with Instance Constraints. CVPR Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell
2013	J	`jnl`	Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations. CoRR Erik Rodner, Judy Hoffman, Jeff Donahue, Trevor Darrell, Kate Saenko
2012	—	`conf`	As Time Goes by - Anytime Semantic Segmentation with Iterative Context Forests. DAGM/OAGM Symposium Björn Fröhlich, Erik Rodner, Joachim Denzler
2012	A	`conf`	Divergence-Based One-Class Classification Using Gaussian Processes. BMVC Paul Bodesheim, Erik Rodner, Alexander Freytag, Joachim Denzler
2012	B	`conf`	Efficient semantic segmentation with Gaussian processes and histogram intersection kernels. ICPR Alexander Freytag, Björn Fröhlich, Erik Rodner, Joachim Denzler
2012	—	`conf`	Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels. ECCV (4) Erik Rodner, Alexander Freytag, Paul Bodesheim, Joachim Denzler
2012	Misc	`conf`	Multi-person Tracking-by-Detection Based on Calibrated Multi-camera Systems. ICCVG Xiaoyan Jiang, Erik Rodner, Joachim Denzler
2012	—	`conf`	Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels. ACCV (2) Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler
2012	—	`conf`	Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach. ACCV (1) Björn Fröhlich, Erik Rodner, Joachim Denzler
2012	J	`jnl`	Visual Transfer Learning: Informal Introduction and Literature Overview CoRR Erik Rodner
2011	—	`book`	Learning from Few Examples for Visual Recognition Problems. Erik Rodner
2011	J	`jnl`	Learning with few examples for binary and multiclass classification using regularization of randomized trees. Pattern Recognit. Lett. Erik Rodner, Joachim Denzler
2011	—	`ch.`	Lernen mit wenigen Beispielen für die visuelle Objekterkennung. Ausgezeichnete Informatikdissertationen Erik Rodner
2011	Misc	`conf`	One-Class Classification for Anomaly Detection in Wire Ropes with Gaussian Processes in a Few Lines of Code. MVA Erik Rodner, Esther-Sabrina Wacker, Michael Kemmler, Joachim Denzler
2010	B	`conf`	A Fast Approach for Pixelwise Labeling of Facade Images. ICPR Björn Fröhlich, Erik Rodner, Joachim Denzler
2010	—	`conf`	One-Class Classification with Gaussian Processes. ACCV (2) Michael Kemmler, Erik Rodner, Joachim Denzler
2010	—	`conf`	One-Shot Learning of Object Categories Using Dependent Gaussian Processes. DAGM-Symposium Erik Rodner, Joachim Denzler
2009	—	`conf`	Global Context Extraction for Object Recognition Using a Combination of Range and Visual Features. Dyn3D Michael Kemmler, Erik Rodner, Joachim Denzler
2009	—	`conf`	Learning with Few Examples by Transferring Feature Relevance. DAGM-Symposium Erik Rodner, Joachim Denzler
2009	C	`conf`	Randomized Probabilistic Latent Semantic Analysis for Scene Recognition. CIARP Erik Rodner, Joachim Denzler
2008	B	`conf`	Difference of Boxes Filters Revisited: Shadow Suppression and Efficient Character Segmentation. Document Analysis Systems Erik Rodner, Herbert Süße, Wolfgang Ortmann, Joachim Denzler
2008	—	`conf`	Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees. VMV Erik Rodner, Joachim Denzler
2008	J	`jnl`	On fusion of range and intensity information using Graph-Cut for planar patch segmentation. Int. J. Intell. Syst. Technol. Appl. Olaf Kähler, Erik Rodner, Joachim Denzler