2019

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]
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]
Information-Theoretic Active Learning for Content-Based Image Retrieval.
Björn Barz and Christoph Käding and Joachim Denzler.
German Conference on Pattern Recognition (GCPR) 2018. Lecture Notes in Computer Science. Pages 650-666. 2019.
[bibtex] [pdf] [code] [supplementary] [abstract]
Do we train on test data? Purging CIFAR of near-duplicates.
Björn Barz and Joachim Denzler.
arXiv preprint arXiv:1902.00423. 2019.
[bibtex] [pdf] [web] [abstract]
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]

2018

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]
On the relation between Artifical Intelligence and Pattern Recognition.
Björn Barz. (2018) Award-winning entry in the ICPRAI 2018 Competition
[bibtex] [pdf]
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]
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]

2017

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]
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]

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.
ICML Workshop on Anomaly Detection (ICML-WS). 2016. Best Paper Award
[bibtex] [pdf] [code]

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]