Erik Rodner

发表

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

Joachim Denzler, Trevor Darrell, Marcel Simon, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Joachim Denzler, Marcel Simon, Erik Rodner, 2016, GCPR.

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

Joachim Denzler, Marcel Simon, Erik Rodner, 2016, ECCV Workshops.

Maximally Divergent Intervals for Anomaly Detection pdf

Joachim Denzler, Markus Reichstein, Erik Rodner, 2016, ICML 2016.

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

Olaf Kähler, Joachim Denzler, Erik Rodner, 2008, Int. J. Intell. Syst. Technol. Appl..

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

Joachim Denzler, Erik Rodner, Johannes Rühle, 2015, 2015 14th IAPR International Conference on Machine Vision Applications (MVA).

Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels

Joachim Denzler, Erik Rodner, Alexander Freytag, 2012, ECCV.

Part Detector Discovery in Deep Convolutional Neural Networks pdf

Joachim Denzler, Marcel Simon, Erik Rodner, 2014, ACCV.

Learning from Few Examples for Visual Recognition Problems

Erik Rodner, E. Rodner, 2011 .

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

Robert B. Fisher, Joachim Denzler, Marcel Simon, 2016, BMVC.

One-Shot Learning of Object Categories Using Dependent Gaussian Processes

Joachim Denzler, Erik Rodner, E. Rodner, 2010, DAGM-Symposium.

ARTOS - Adaptive Real-Time Object Detection System pdf

Joachim Denzler, Erik Rodner, Björn Barz, 2014, ArXiv.

Vegetation Segmentation in Cornfield Images Using Bag of Words

Joachim Denzler, Gonzalo Pajares, Juan Humberto Sossa Azuela, 2016, ACIVS.

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

Joachim Denzler, Marc Aubreville, Andreas K. Maier, 2017, Scientific Reports.

Transform-based Domain Adaptation for Big Data

Erik Rodner, E. Rodner, 2013 .

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

Joachim Denzler, Erik Rodner, Alexander Freytag, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques

Joachim Denzler, Markus Reichstein, Erik Rodner, 2016 .

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

Joachim Denzler, Erik Rodner, Alexander Freytag, 2016, GCPR.

Fine-grained Recognition Datasets for Biodiversity Analysis pdf

Joachim Denzler, Marcel Simon, Erik Rodner, 2015, ArXiv.

Kernel Null Space Methods for Novelty Detection

Joachim Denzler, Erik Rodner, Alexander Freytag, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

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

Joachim Denzler, Erik Rodner, Björn Barz, 2017, ArXiv.

One-class classification with Gaussian processes

Joachim Denzler, Erik Rodner, Esther-Sabrina Wacker, 2013, Pattern Recognit..

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

Joachim Denzler, Erik Rodner, Alexander Freytag, 2016, ESANN.

Bildverarbeitung und Objekterkennung - Computer Vision in Industrie und Medizin

Erik Rodner, Herbert Süße, 2014 .

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

Joachim Denzler, Marcel Simon, Erik Rodner, 2016, ArXiv.

A Fast Approach for Pixelwise Labeling of Facade Images

Joachim Denzler, Erik Rodner, Björn Fröhlich, 2010, 2010 20th International Conference on Pattern Recognition.

Efficient Learning of Domain-invariant Image Representations pdf

Trevor Darrell, Kate Saenko, Jeff Donahue, 2013, ICLR.

Generalized Orderless Pooling Performs Implicit Salient Matching

Joachim Denzler, Yang Gao, Trevor Darrell, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

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

Joachim Denzler, Erik Rodner, Herbert Süße, 2008, 2008 The Eighth IAPR International Workshop on Document Analysis Systems.

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

Joachim Denzler, Erik Rodner, Björn Fröhlich, 2012, ACCV.

Divergence-Based One-Class Classification Using Gaussian Processes

Joachim Denzler, Erik Rodner, Alexander Freytag, 2012, BMVC.

Learning with Few Examples by Transferring Feature Relevance

Joachim Denzler, Erik Rodner, 2009, DAGM-Symposium.

Efficient semantic segmentation with Gaussian processes and histogram intersection kernels

Joachim Denzler, Erik Rodner, Alexander Freytag, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

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

Joachim Denzler, Erik Rodner, Björn Fröhlich, 2012, DAGM/OAGM Symposium.

Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels

Joachim Denzler, Erik Rodner, Alexander Freytag, 2012, ACCV.

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

Joachim Denzler, Marcel Simon, Erik Rodner, 2015, VISAPP.

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

Joachim Denzler, Erik Rodner, Esther-Sabrina Wacker, 2011, MVA.

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

Joachim Denzler, Erik Rodner, Alexander Freytag, 2016, ArXiv.

Visual Transfer Learning: Informal Introduction and Literature Overview pdf

Erik Rodner, E. Rodner, 2012, ArXiv.

Local Novelty Detection in Multi-class Recognition Problems

Joachim Denzler, Erik Rodner, Alexander Freytag, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

ImageNet pre-trained models with batch normalization pdf

Joachim Denzler, Marcel Simon, Erik Rodner, 2016, ArXiv.

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

Joachim Denzler, Erik Rodner, Alexander Freytag, 2013, ArXiv.

Randomized Probabilistic Latent Semantic Analysis for Scene Recognition

Joachim Denzler, Erik Rodner, 2009, CIARP.

Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios

Joachim Denzler, Erik Rodner, Alexander Freytag, 2016, ACCV Workshops.

Evaluation of QuickProp for Learning Deep Neural Networks -- A Critical Review

Joachim Denzler, Marcel Simon, Erik Rodner, 2016 .

Instance-Weighted Transfer Learning of Active Appearance Models

Joachim Denzler, Daniel Haase, Erik Rodner, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

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

Joachim Denzler, Erik Rodner, Alexander Freytag, 2016, International Journal of Computer Vision.

Approximations of Gaussian Process Uncertainties for Visual Recognition Problems

Joachim Denzler, Erik Rodner, Alexander Freytag, 2013, SCIA.

Exemplar-Specific Patch Features for Fine-Grained Recognition

Joachim Denzler, Trevor Darrell, Erik Rodner, 2014, GCPR.

Interactive adaptation of real-time object detectors

Trevor Darrell, Kate Saenko, Erik Rodner, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

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

Gunnar Rätsch, Trevor Darrell, Marius Kloft, 2015, Dagstuhl Reports.

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

Joachim Denzler, Erik Rodner, Michael Kemmler, 2009, Dyn3D.

Selecting Influential Examples: Active Learning with Expected Model Output Changes

Joachim Denzler, Erik Rodner, Alexander Freytag, 2014, ECCV.

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

Trevor Darrell, Kate Saenko, Jeff Donahue, 2013, ArXiv.

Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection

Joachim Denzler, Erik Rodner, Björn Barz, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Joachim Denzler, Erik Rodner, 2008, VMV.

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

Joachim Denzler, Marcel Simon, Erik Rodner, 2015, 2015 14th IAPR International Conference on Machine Vision Applications (MVA).

Semi-supervised Domain Adaptation with Instance Constraints

Trevor Darrell, Kate Saenko, Jeff Donahue, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Workshop on Interactive and Adaptive Learning in an Open World

Mario Fritz, Juergen Gall, Angela Yao, 2018, ECCV Workshops.

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

Joachim Denzler, Erik Rodner, Xiaoyan Jiang, 2012, ICCVG.

Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks

Marcel Simon, Erik Rodner, E. Rodner, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Efficient Convolutional Patch Networks for Scene Understanding

Joachim Denzler, Marcel Simon, Erik Rodner, 2015 .

One-class classification with Gaussian processes

Joachim Denzler, Erik Rodner, Michael Kemmler, 2010, Pattern Recognit..

HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues

Ramakrishnan Mukundan, Joachim Denzler, Mohammad Ilyas, 2017, Histopathology.

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

Trevor Darrell, Kate Saenko, Sergio Guadarrama, 2016, Int. J. Robotics Res..

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

Joachim Denzler, Erik Rodner, Alexander Freytag, 2014, ArXiv.

Proceedings of 27th British Machine Vision Conference (BMVC 2016)

Joachim Denzler, Erik Rodner, Bob Fisher, 2016 .

Lernen mit wenigen Beispielen für die visuelle Objekterkennung

Erik Rodner, 2011, Ausgezeichnete Informatikdissertationen.

Nonparametric Part Transfer for Fine-Grained Recognition

Joachim Denzler, Erik Rodner, Alexander Freytag, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Bildverarbeitung und Objekterkennung

Erik Rodner, Herbert Süße, Herbert Süße, 2014 .

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

Joachim Denzler, Erik Rodner, Björn Fröhlich, 2013, Machine Vision and Applications.

Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets pdf

Joachim Denzler, Manuel Amthor, Erik Rodner, 2016, BMVC.

Open-vocabulary Object Retrieval

Trevor Darrell, Kate Saenko, Jeff Donahue, 2014, Robotics: Science and Systems.

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

Joachim Denzler, Erik Rodner, Alexander Freytag, 2013, GCPR.

Asymmetric and Category Invariant Feature Transformations for Domain Adaptation

Kate Saenko, Jeff Donahue, Erik Rodner, 2014, International Journal of Computer Vision.

Active Learning for Regression Tasks with Expected Model Output Changes

Joachim Denzler, Erik Rodner, Alexander Freytag, 2018, BMVC.

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

Rainer Stiefelhagen, Erik Rodner, Alexander Freytag, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Beyond the closed-world assumption : The importance of novelty detection and open set recognition Computer Vision Group Jena

Joachim Denzler, Erik Rodner, Alexander Freytag, 2013 .

Beyond Classification – Large-scale Gaussian Process Inference and Uncertainty Prediction

Joachim Denzler, Erik Rodner, Alexander Freytag, 2012 .

Automated analysis of confocal laser endomicroscopy images to detect head and neck cancer

Joachim Denzler, Erik Rodner, Wolfgang Ortmann, 2016, Head & neck.

Detecting multivariate biosphere extremes

Joachim Denzler, Erik Rodner, Miguel D. Mahecha, 2016 .

Maximally divergent intervals for extreme weather event detection

Joachim Denzler, Erik Rodner, Björn Barz, 2017, OCEANS 2017 - Aberdeen.

Multiple kernel Gaussian process classification for generic 3D object recognition

Joachim Denzler, Erik Rodner, Doaa Hegazy, 2010, 2010 25th International Conference of Image and Vision Computing New Zealand.

Theory of Learning with Few Examples and Object Localization

Joachim Denzler, Erik Rodner, 2009 .

Deep bilinear features for Her2 scoring in digital pathology

Joachim Denzler, Erik Rodner, Marcel Simon, 2017 .

Fully convolutional networks in multimodal nonlinear microscopy images for automated detection of head and neck carcinoma: Pilot study

Joachim Denzler, Jürgen Popp, Erik Rodner, 2018, Head & neck.

An Efficient Approximation for Gaussian Process Regression

Joachim Denzler, Erik Rodner, Alexander Freytag, 2013 .