2022

Weakly-Supervised Localization of Multiple Objects in Images using Cosine Loss
Björn Barz and Joachim Denzler.
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 287-296. 2022.
[bibtex] [abstract]
Image Classification with Small Datasets: Overview and Benchmark
Lorenzo Brigato and Björn Barz and Luca Iocchi and Joachim Denzler.
IEEE Access. 10: pages 49233-49250. 2022.
[bibtex] [pdf] [web] [abstract]

2021

WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges
Björn Barz and Joachim Denzler.
NeurIPS 2021 Track on Datasets and Benchmarks. 2021.
[bibtex] [pdf] [presentation] [abstract]
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity
Bernd Gruner and Matthias Körschens and Björn Barz and Joachim Denzler.
Findings of the CVPR Workshop on Continual Learning in Computer Vision (CLVision). 2021.
[bibtex] [abstract]
Self-Supervised Learning from Semantically Imprecise Data
Clemens-Alexander Brust and Björn Barz and Joachim Denzler.
arXiv preprint arXiv:2104.10901. 2021.
[bibtex] [pdf] [abstract]
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning
Violeta Teodora Trifunov and Maha Shadaydeh and Björn Barz and Joachim Denzler.
IEEE International Conference on Machine Learning and Applications (ICMLA). Pages 166-172. 2021.
[bibtex] [pdf] [web] [abstract]
Finding Relevant Flood Images on Twitter using Content-based Filters
Björn Barz and Kai Schröter and Ann-Christin Kra and Joachim Denzler.
ICPR Workshop on Machine Learning Advances Environmental Science (MAES). Pages 5-14. 2021.
[bibtex] [pdf] [web] [abstract]
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
Lorenzo Brigato and Björn Barz and Luca Iocchi and Joachim Denzler.
ICCV Workshop on Visual Inductive Priors for Data-Efficient Deep Learning. 2021.
[bibtex] [pdf] [abstract]
Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era
Björn Barz and Joachim Denzler.
ICPR Workshop on Content-Based Image Retrieval (CBIR2020). Pages 245-260. 2021.
[bibtex] [pdf] [abstract]
Carpe Diem: A Lifelong Learning Tool for Automated Wildlife Surveillance
Clemens-Alexander Brust and Björn Barz and Joachim Denzler.
Computer Science for Biodiversity Workshop (CS4Biodiversity), INFORMATIK 2021. Pages 417-423. 2021.
[bibtex] [pdf]
Data-Driven Detection of General Chiasmi Using Lexical and Semantic Features
Felix Schneider and Phillip Brandes and Björn Barz and Sophie Marshall and Joachim Denzler.
SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature. Pages 96-100. 2021.
[bibtex] [web] [abstract]
Detecting Scenes in Fiction Using the Embedding Delta Signal
Felix Schneider and Björn Barz and Joachim Denzler.
KONVENS Shared Task on Scene Segmentation. 2021.
[bibtex]

2020

Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge
Clemens-Alexander Brust and Björn Barz and Joachim Denzler.
International Conference on Pattern Recognition (ICPR). 2020.
[bibtex] [pdf] [abstract]
Deep Learning on Small Datasets without Pre-Training using Cosine Loss
Björn Barz and Joachim Denzler.
IEEE Winter Conference on Applications of Computer Vision (WACV). Pages 1360-1369. 2020.
[bibtex] [pdf] [code] [abstract]
Do We Train on Test Data? Purging CIFAR of Near-Duplicates
Björn Barz and Joachim Denzler.
Journal of Imaging. 6 (6): 2020.
[bibtex] [pdf] [web] [abstract]
Semantic and Interactive Content-based Image Retrieval
Björn Barz. 2020. Dissertation. ISBN 978-3-7369-7346-6.
[bibtex] [web]

2019

Hierarchy-based Image Embeddings for Semantic Image Retrieval
Björn Barz and Joachim Denzler.
IEEE Winter Conference on Applications of Computer Vision (WACV). Pages 638-647. 2019. Best Paper Award
[bibtex] [pdf] [web] [code] [presentation] [supplementary] [abstract]
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection
Björn Barz and Erik Rodner and Yanira Guanche Garcia and Joachim Denzler.
IEEE Transactions on Pattern Analysis and Machine Intelligence. 41 (5): pages 1088-1101. 2019. (Pre-print published in 2018.)
[bibtex] [pdf] [web] [code] [abstract]
Information-Theoretic Active Learning for Content-Based Image Retrieval
Björn Barz and Christoph Käding and Joachim Denzler.
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 650-666. 2019.
[bibtex] [pdf] [code] [supplementary] [abstract]
Diverse Perspectives on the Relationship between Artificial Intelligence and Pattern Recognition
Björn Barz and Prerana Mukherjee and Brejesh Lall and Elham Vahdati. 2019.
[bibtex] [web] [abstract]

2018

Deep Learning is not a Matter of Depth but of Good Training
Björn Barz and Joachim Denzler.
International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI). Pages 683-687. 2018.
[bibtex] [pdf] [abstract]
Active Learning for Regression Tasks with Expected Model Output Changes
Christoph Käding and Erik Rodner and Alexander Freytag and Oliver Mothes and Björn Barz and Joachim Denzler.
British Machine Vision Conference (BMVC). 2018.
[bibtex] [pdf] [code] [supplementary] [abstract]
On the Relation Between Artifical Intelligence and Pattern Recognition
Björn Barz.
ICPRAI 2018 Competition. 2018. Award-winning Entry
[bibtex] [pdf]
Towards Automatic Identification of Elephants in the Wild
Matthias Körschens and Björn Barz and Joachim Denzler.
AI for Wildlife Conservation Workshop (AIWC). 2018.
[bibtex] [pdf] [abstract]
Automatic Query Image Disambiguation for Content-Based Image Retrieval
Björn Barz and Joachim Denzler.
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 249-256. 2018.
[bibtex] [pdf] [code] [abstract]
Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images
Björn Barz and Kai Schröter and Moritz Münch and Bin Yang and Andrea Unger and Doris Dransch and Joachim Denzler.
Archives of Data Science, Series A. 5 (1): pages A06, 21 S. online. 2018.
[bibtex] [pdf] [abstract]
Putting User Reputation on the Map: Unsupervised Quality Control for Crowdsourced Historical Data
Björn Barz and Thomas C. van Dijk and Bert Spaan and Joachim Denzler.
2nd ACM SIGSPATIAL Workshop on Geospatial Humanities. Pages 3:1-3:6. 2018.
[bibtex] [pdf] [abstract]

2017

Fast Learning and Prediction for Object Detection using Whitened CNN Features
Björn Barz and Erik Rodner and Christoph Käding and Joachim Denzler.
arXiv preprint arXiv:1704.02930. 2017.
[bibtex] [pdf] [web]
Maximally Divergent Intervals for Extreme Weather Event Detection
Björn Barz and Yanira Guanche and Erik Rodner and Joachim Denzler.
MTS/IEEE OCEANS Conference Aberdeen. Pages 1-9. 2017.
[bibtex] [pdf] [abstract]

2016

Maximally Divergent Intervals for Anomaly Detection
Erik Rodner and Björn Barz and Yanira Guanche and Milan Flach and Miguel Mahecha and Paul Bodesheim and Markus Reichstein and Joachim Denzler.
Workshop on Anomaly Detection (ICML-WS). 2016. Best Paper Award
[bibtex] [pdf] [web] [code] [abstract]

2014

ARTOS -- Adaptive Real-Time Object Detection System
Björn Barz and Erik Rodner and Joachim Denzler.
arXiv preprint arXiv:1407.2721. 2014.
[bibtex] [pdf] [web] [code] [abstract]