Björn Barz

According to our database, Björn Barz authored at least 29 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks.

Mayar Lotfy, Anna Alperovich, Tommaso Giannantonio, Björn Barz, Xiaohan Zhang, Felix Holm, Nassir Navab, Felix Boehm, Carolin Schwamborn, Thomas K. Hoffmann, Patrick J. Schuler

CoRR, 2023

2022

Image Classification With Small Datasets: Overview and Benchmark.

Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler

IEEE Access, 2022

Self-supervised Learning from Semantically Imprecise Data.

Clemens-Alexander Brust, Björn Barz, Joachim Denzler

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Weakly-supervised Localization of Multiple Objects in Images using Cosine Loss.

Björn Barz, Joachim Denzler

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021

Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity.

Bernd Gruner, Matthias Körschens, Björn Barz, Joachim Denzler

CoRR, 2021

A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge.

Björn Barz, Lorenzo Brigato, Luca Iocchi, Joachim Denzler

CoRR, 2021

WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges.

Björn Barz, Joachim Denzler

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Detecting Scenes in Fiction Using the Embedding Delta Signal.

Felix Schneider, Björn Barz, Joachim Denzler

Proceedings of the Shared Task on Scene Segmentation co-located with the 17th Conference on Natural Language Processing (KONVENS 2021), 2021

Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning.

Violeta Teodora Trifunov, Maha Shadaydeh, Björn Barz, Joachim Denzler

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification.

Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Carpe Diem: A Lifelong Learning Tool for Automated Wildlife Surveillance.

Clemens-Alexander Brust, Björn Barz, Joachim Denzler

Proceedings of the 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September, 2021

2020

Semantische und Interaktive Inhaltsbasierte Bildersuche.

Björn Barz

Proceedings of the Ausgezeichnete Informatikdissertationen 2020., 2020

Semantic and interactive content-based image retrieval.

Björn Barz

PhD thesis, 2020

Do We Train on Test Data? Purging CIFAR of Near-Duplicates.

Björn Barz, Joachim Denzler

J. Imaging, 2020

Deep Learning on Small Datasets without Pre-Training using Cosine Loss.

Björn Barz, Joachim Denzler

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge.

Clemens-Alexander Brust, Björn Barz, Joachim Denzler

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Finding Relevant Flood Images on Twitter Using Content-Based Filters.

Björn Barz, Kai Schröter, Ann-Christin Kra, Joachim Denzler

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Content-Based Image Retrieval and the Semantic Gap in the Deep Learning Era.

Björn Barz, Joachim Denzler

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

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

Björn Barz, Erik Rodner, Yanira Guanche Garcia, Joachim Denzler

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

Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images.

Björn Barz, Kai Schröter, Moritz Münch, Bin Yang, Andrea Unger, Doris Dransch, Joachim Denzler

CoRR, 2019

Hierarchy-Based Image Embeddings for Semantic Image Retrieval.

Björn Barz, Joachim Denzler

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

2018

Towards Automatic Identification of Elephants in the Wild.

Matthias Körschens, Björn Barz, Joachim Denzler

CoRR, 2018

Automatic Query Image Disambiguation for Content-based Image Retrieval.

Björn Barz, Joachim Denzler

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Putting User Reputation on the Map: Unsupervised Quality Control for Crowdsourced Historical Data.

Björn Barz, Thomas C. van Dijk, Bert Spaan, Joachim Denzler

Proceedings of the 2nd ACM SIGSPATIAL Workshop on Geospatial Humanities, 2018

Information-Theoretic Active Learning for Content-Based Image Retrieval.

Björn Barz, Christoph Käding, Joachim Denzler

Proceedings of the Pattern Recognition - 40th German Conference, 2018

Active Learning for Regression Tasks with Expected Model Output Changes.

Christoph Käding, Erik Rodner, Alexander Freytag, Oliver Mothes, Björn Barz, Joachim Denzler

Proceedings of the British Machine Vision Conference 2018, 2018

2017

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

Björn Barz, Erik Rodner, Christoph Käding, Joachim Denzler

CoRR, 2017

2016

Maximally Divergent Intervals for Anomaly Detection.

Erik Rodner, Björn Barz, Yanira Guanche, Milan Flach, Miguel D. Mahecha, Paul Bodesheim, Markus Reichstein, Joachim Denzler

CoRR, 2016

2014

ARTOS - Adaptive Real-Time Object Detection System.

Björn Barz, Erik Rodner, Joachim Denzler

CoRR, 2014