ARTOS - Adaptive Real-Time Object Detection System. - Björn Barz; Erik Rodner; Joachim Denzler (CoRR, 2014)

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)

Fast Learning and Prediction for Object Detection using Whitened CNN Features. - Björn Barz; Erik Rodner; Christoph Käding; Joachim Denzler (CoRR, 2017)

Active Learning for Regression Tasks with Expected Model Output Changes. - Christoph Käding; Erik Rodner; Alexander Freytag; Oliver Mothes; Björn Barz; Joachim Denzler (BMVC, 2018)

Information-Theoretic Active Learning for Content-Based Image Retrieval. - Björn Barz; Christoph Käding; Joachim Denzler (GCPR, 2018)

Putting User Reputation on the Map: Unsupervised Quality Control for Crowdsourced Historical Data. - Björn Barz; Thomas C. van Dijk; Bert Spaan; Joachim Denzler (GeoHumanities@SIGSPATIAL, 2018)

Automatic Query Image Disambiguation for Content-based Image Retrieval. - Björn Barz; Joachim Denzler (VISIGRAPP (5: VISAPP), 2018)

Towards Automatic Identification of Elephants in the Wild. - Matthias Körschens; Björn Barz; Joachim Denzler (CoRR, 2018)

Hierarchy-Based Image Embeddings for Semantic Image Retrieval. - Björn Barz; Joachim Denzler (WACV, 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)

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)

Content-Based Image Retrieval and the Semantic Gap in the Deep Learning Era. - Björn Barz; Joachim Denzler (ICPR Workshops (2), 2020)

Finding Relevant Flood Images on Twitter Using Content-Based Filters. - Björn Barz; Kai Schröter; Ann-Christin Kra; Joachim Denzler (ICPR Workshops (6), 2020)

Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge. - Clemens-Alexander Brust; Björn Barz; Joachim Denzler (ICPR, 2020)

Deep Learning on Small Datasets without Pre-Training using Cosine Loss. - Björn Barz; Joachim Denzler (WACV, 2020)

Do We Train on Test Data? Purging CIFAR of Near-Duplicates. - Björn Barz; Joachim Denzler (J. Imaging, 2020)

Semantic and interactive content-based image retrieval. - Björn Barz (Cuvillier Verlag, 2020)

Semantische und Interaktive Inhaltsbasierte Bildersuche. - Björn Barz (Ausgezeichnete Informatikdissertationen, 2020)

Carpe Diem: A Lifelong Learning Tool for Automated Wildlife Surveillance. - Clemens-Alexander Brust; Björn Barz; Joachim Denzler (GI-Jahrestagung, 2021)

Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification. - Lorenzo Brigato; Björn Barz; Luca Iocchi; Joachim Denzler (ICCVW, 2021)

Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning. - Violeta Teodora Trifunov; Maha Shadaydeh; Björn Barz; Joachim Denzler (ICMLA, 2021)

Detecting Scenes in Fiction Using the Embedding Delta Signal. - Felix Schneider; Björn Barz; Joachim Denzler (STSS@KONVENS, 2021)

WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges. - Björn Barz; Joachim Denzler (NeurIPS Datasets and Benchmarks, 2021)

A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge. - Björn Barz; Lorenzo Brigato; Luca Iocchi; Joachim Denzler (CoRR, 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)

WikiChurches - A Fine-Grained Dataset of Architectural Styles with Real-World Challenges. - Björn Barz; Joachim Denzler (Zenodo, 2021)

Weakly-supervised Localization of Multiple Objects in Images using Cosine Loss. - Björn Barz; Joachim Denzler (VISIGRAPP (5: VISAPP), 2022)

Self-supervised Learning from Semantically Imprecise Data. - Clemens-Alexander Brust; Björn Barz; Joachim Denzler (VISIGRAPP (5: VISAPP), 2022)

Image Classification With Small Datasets: Overview and Benchmark. - Lorenzo Brigato; Björn Barz; Luca Iocchi; Joachim Denzler (IEEE Access, 2022)

Efficient and Discriminative Image Feature Extraction for Universal Image Retrieval. - Morris Florek; David Tschirschwitz; Björn Barz; Volker Rodehorst (GCPR (1), 2024)

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 (GCPR (1), 2024)

Prompt-Tuning SAM: From Generalist to Specialist with only 2048 Parameters and 16 Training Images. - Tristan Piater; Björn Barz; Alexander Freytag (CVPR Workshops, 2025)