Rodner, Erik

20 publications

ICCV 2025 Is Visual In-Context Learning for Compositional Medical Tasks Within Reach? Simon Reiß, Zdravko Marinov, Alexander Jaus, Constantin Seibold, M. Saquib Sarfraz, Erik Rodner, Rainer Stiefelhagen

TMLR 2025 Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation Justus Westerhoff, Golzar Atefi, Mario Koddenbrock, Alexei Figueroa, Alexander Löser, Erik Rodner, Felix Alexander Gers

ICLRW 2024 Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications Ricardo Knauer, Erik Rodner

CVPR 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

ECCV 2022 Graph-Constrained Contrastive Regularization for Semi-Weakly Volumetric Segmentation Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen

CVPR 2021 Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation Simon Reiss, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen

ECCVW 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

ICCV 2017 Generalized Orderless Pooling Performs Implicit Salient Matching Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner

ECCV 2016 Convolutional Neural Networks as a Computational Model for the Underlying Processes of Aesthetics Perception Joachim Denzler, Erik Rodner, Marcel Simon

ECCVW 2016 Convolutional Neural Networks as a Computational Model for the Underlying Processes of Aesthetics Perception Joachim Denzler, Erik Rodner, Marcel Simon

CVPR 2015 Active Learning and Discovery of Object Categories in the Presence of Unnameable Instances Christoph Kading, Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler

WACV 2015 Local Novelty Detection in Multi-Class Recognition Problems Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler

ICCV 2015 Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks Marcel Simon, Erik Rodner

CVPR 2014 Instance-Weighted Transfer Learning of Active Appearance Models Daniel Haase, Erik Rodner, Joachim Denzler

CVPR 2014 Nonparametric Part Transfer for Fine-Grained Recognition Christoph Goring, Erik Rodner, Alexander Freytag, Joachim Denzler

ECCV 2014 Selecting Influential Examples: Active Learning with Expected Model Output Changes Alexander Freytag, Erik Rodner, Joachim Denzler

ICLR 2013 Efficient Learning of Domain-Invariant Image Representations Judy Hoffman, Erik Rodner, Jeff Donahue, Kate Saenko, Trevor Darrell

CVPR 2013 Kernel Null Space Methods for Novelty Detection Paul Bodesheim, Alexander Freytag, Erik Rodner, Michael Kemmler, Joachim Denzler

CVPR 2013 Semi-Supervised Domain Adaptation with Instance Constraints Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell

ECCV 2012 Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels Erik Rodner, Alexander Freytag, Paul Bodesheim, Joachim Denzler