Erik Rodner

CoRR, 2024

"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications.

[BibT_eX]

[DOI]

Ricardo Knauer

Marvin Grimm

CoRR, 2024

Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications.

[BibT_eX]

[DOI]

Ricardo Knauer

CoRR, 2024

Eine Methode für die Potenzialanalyse zur Identifikation von Anwendungsszenarien für Maschinelles Lernen.

[BibT_eX]

[DOI]

Frank Fuchs-Kittowski

Proceedings of the 54. Jahrestagung der Gesellschaft für Informatik, 2024

Zum Einsatz von Maschinellem Lernen in der Umweltverwaltung: Der Simplex4Learning Ansatz.

[BibT_eX]

[DOI]

Andreas Abecker

Matthias Budde

Frank Fuchs-Kittowski

Proceedings of the 54. Jahrestagung der Gesellschaft für Informatik, 2024

2023

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

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

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

[BibT_eX]

[DOI]

Ricardo Knauer

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

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

[BibT_eX]

[DOI]

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

Blind Video Stabilization Quality Assessment based on convolutional LSTM.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2022

Evaluating Zero-Cost Active Learning for Object Detection.

[BibT_eX]

[DOI]

Dominik Probst

Hasnain Raza

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

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2019

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

[BibT_eX]

[DOI]

Björn Barz

Yanira Guanche Garcia

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

2018

Workshop on Interactive and Adaptive Learning in an Open World.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Active Learning for Regression Tasks with Expected Model Output Changes.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2018, 2018

2017

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

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Generalized Orderless Pooling Performs Implicit Salient Matching.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

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

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2016

ImageNet pre-trained models with batch normalization.

[BibT_eX]

[DOI]

CoRR, 2016

Maximally Divergent Intervals for Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

Clemens-Alexander Brust

CoRR, 2016

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2016, 2016

Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets.

[BibT_eX]

[DOI]

Manuel Amthor

Proceedings of the British Machine Vision Conference 2016, 2016

Vegetation Segmentation in Cornfield Images Using Bag of Words.

[BibT_eX]

[DOI]

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016

Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015

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

[BibT_eX]

[DOI]

Dagstuhl Reports, 2015

Fine-grained Recognition Datasets for Biodiversity Analysis.

[BibT_eX]

[DOI]

Johann-Wolfgang Wägele

CoRR, 2015

Local Novelty Detection in Multi-class Recognition Problems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Clemens-Alexander Brust

Proceedings of the VISAPP 2015, 2015

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Johannes Rühle

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2014

Asymmetric and Category Invariant Feature Transformations for Domain Adaptation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2014

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

[BibT_eX]

[DOI]

CoRR, 2014

ARTOS - Adaptive Real-Time Object Detection System.

[BibT_eX]

[DOI]

Björn Barz

CoRR, 2014

Open-vocabulary Object Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems X, 2014

Interactive adaptation of real-time object detectors.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Alexander Freytag

Proceedings of the Computer Vision - ECCV 2014, 2014

Exemplar-Specific Patch Features for Fine-Grained Recognition.

[BibT_eX]

[DOI]

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

Instance-Weighted Transfer Learning of Active Appearance Models.

[BibT_eX]

[DOI]

Daniel Haase

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

Nonparametric Part Transfer for Fine-Grained Recognition.

[BibT_eX]

[DOI]

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

Part Detector Discovery in Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2014, 2014

Bildverarbeitung und Objekterkennung - Computer Vision in Industrie und Medizin.

[BibT_eX]

[DOI]

Herbert Süße

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

2013

One-class classification with Gaussian processes.

[BibT_eX]

[DOI]

Esther-Sabrina Wacker

Pattern Recognit., 2013

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

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2013

Efficient Learning of Domain-invariant Image Representations

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

CoRR, 2013

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

[BibT_eX]

[DOI]

CoRR, 2013

Approximations of Gaussian Process Uncertainties for Visual Recognition Problems.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Semi-supervised Domain Adaptation with Instance Constraints.

[BibT_eX]

[DOI]

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

Kernel Null Space Methods for Novelty Detection.

[BibT_eX]

[DOI]

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

2012

Visual Transfer Learning: Informal Introduction and Literature Overview

[BibT_eX]

[DOI]

CoRR, 2012

Efficient semantic segmentation with Gaussian processes and histogram intersection kernels.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Xiaoyan Jiang

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

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

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

[BibT_eX]

[DOI]

Björn Fröhlich

Proceedings of the Pattern Recognition, 2012

Divergence-Based One-Class Classification Using Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2012

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

[BibT_eX]

[DOI]

Björn Fröhlich

Proceedings of the Computer Vision - ACCV 2012, 2012

Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2012

2011

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

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2011

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

[BibT_eX]

[DOI]

Esther-Sabrina Wacker

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

Lernen mit wenigen Beispielen für die visuelle Objekterkennung.

[BibT_eX]

[DOI]

Proceedings of the Ausgezeichnete Informatikdissertationen 2011, 2011

Learning from Few Examples for Visual Recognition Problems.

[BibT_eX]

[DOI]

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

2010

A Fast Approach for Pixelwise Labeling of Facade Images.

[BibT_eX]

[DOI]

Björn Fröhlich

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

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

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2010

One-Class Classification with Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

Learning with Few Examples by Transferring Feature Relevance.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2009

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

[BibT_eX]

[DOI]

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

Randomized Probabilistic Latent Semantic Analysis for Scene Recognition.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, 2009

2008

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

[BibT_eX]

[DOI]

Olaf Kähler

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

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

[BibT_eX]