Publications

Most of our work can be found on ResearchGate and GoogleScholar

2025

Haselhoff, Anselm; Trelenberg, Kevin; Küppers, Fabian; Schneider, Jonas

The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-explainable Model with Counterfactual Explanations (Proceedings Article)

In: Leonardis, Aleš; Ricci, Elisa; Roth, Stefan; Russakovsky, Olga; Sattler, Torsten; Varol, Gül (Ed.): Computer Vision – ECCV 2024, pp. 305–322, Springer Nature Switzerland, Cham, 2025, ISBN: 978-3-031-73668-1.

(BibTeX)

2024

Lämmle, Sven; Bogoclu, Can; Vosshall, Robert; Haselhoff, Anselm; Roos, Dirk

Quantifying Local Model Validity using Active Learning (Proceedings Article)

In: Kiyavash, Negar; Mooij, Joris M. (Ed.): Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence (UAI), pp. 2113–2135, PMLR, 2024.

(Links | BibTeX)

2023

Küppers, Fabian

Uncertainty Calibration and its Application to Object Detection (PhD Thesis)

University of Wuppertal, 2023.

(Links | BibTeX)

Küppers, Fabian; Schneider, Jonas; Haselhoff, Anselm

Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection (Proceedings Article)

In: Karlinsky, Leonid; Michaeli, Tomer; Nishino, Ko (Ed.): Computer Vision – ECCV 2022 Workshops, pp. 426–442, Springer Nature Switzerland, Cham, 2023, ISBN: 978-3-031-25072-9.

(BibTeX)

2022

Märkert, F.; Sunkel, M.; Haselhoff, A.; Rudolph, S.

Segmentation-guided Domain Adaptation for Efficient Depth Completion (Journal Article)

In: ArXiv, vol. abs/2210.09213, 2022.

(Links | BibTeX)

Küppers, F.; Kronenberger, J.; Schneider, J.; Haselhoff, A.

Calibration of Neural Networks for Detection Models (German original: Kalibrierung von Neuronalen Netzen für Detektionsmodelle) (Proceedings Article)

In: Fahrerassistenzsysteme und automatisiertes Fahren, pp. 49-61, VDI-Verlag, 2022.

(Links | BibTeX)

Küppers, F.; Haselhoff, A.; Kronenberger, J.; Schneider, J.

Confidence Calibration for Object Detection and Segmentation (Book Section)

In: Fingscheidt, T.; Houben, S.; Gottschalk, H. (Ed.): Deep Neural Networks and Data for Automated Driving - Robustness, Uncertainty Quantification, and Insights Towards Safety, pp. 255-282, Springer Nature, 2022.

(Links | BibTeX)

Detjen, H.; Kronenberger, J.; Trelenberg, K.; Mattick, X.; Kohl, P.; Lämmer-Gamp, T.; Geisler, S.; Handmann, U.; Haselhoff, A.; Malzahn, N.

Der Mensch im Zentrum der automatisierten Mobilität (Technical Report)

Centrum für automatisierte Mobilität (CAMO) 2022.

(Links | BibTeX)

Kronenberger, J.; Trelenberg, K.; Detjen, H.; Geisler, S.; Handmann, U.; Haselhoff, A.; Malzahn, N.

Automatisierte Mobilität: Überblick über die technologischen Grundlagen (Technical Report)

Centrum für automatisierte Mobilität (CAMO) 2022.

(Links | BibTeX)

2021

Küppers, F.; Kronenberger, J.; Schneider, J.; Haselhoff, A.

Bayesian Confidence Calibration for Epistemic Uncertainty Modelling (Proceedings Article)

In: 2021 IEEE Intelligent Vehicles Symposium (IV), pp. 466–472, IEEE Press, Nagoya, Japan, 2021.

(Links | BibTeX)

Haselhoff, A.; Kronenberger, J.; Küppers, F.; Schneider, J.

Towards Black-Box Explainability with Gaussian Discriminant Knowledge Distillation (Proceedings Article)

In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021.

(Links | BibTeX)

Houben, S.; Abrecht, S.; Akila, M.; Bär, A.; Brockherde, F.; Feifel, P.; Fingscheidt, T.; Gannamaneni, Sai S.; Ghobadi, Eghbal S.; Hammam, A.; Haselhoff, A.; Hauser, F.; Heinzemann, C.; Hoffmann, M.; Kapoor, N.; Kappel, F.; Klingner, M.; Kronenberger, J.; Küppers, F.; Löhdefink, J.; Mlynarski, M.; Mock, M.; Mualla, F.; Pavlitskaya, S.; Poretschkin, M.; Pohl, A.; Ravi-Kumar, V.; Rosenzweig, J.; Rottmann, M.; Rüping, S.; Sämann, T.; Schneider, J. D.; Schulz, E.; Schwalbe, G.; Sicking, J.; Srivastava, T.; Varghese, S.; Weber, M.; Wirkert, S.; Wirtz, T.; Woehrle, M.

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety (Journal Article)

In: ArXiv, vol. abs/2101.02971, 2021.

(Links | BibTeX)

Schwaiger, F.; Henne, M.; Küppers, F.; Roza, Schmoeller F.; Roscher, K.; Haselhoff, A.

From Black-box to White-box: Examining Confidence Calibration under different Conditions (Proceedings Article)

In: Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021), 2021.

(Links | BibTeX)

Kronenberger, J.; Trelenberg, K.; Detjen, H.; Geisler, S.; Handmann, U.; Haselhoff, A.; Malzahn, N.

Künstliche Intelligenz in der automatisierten Mobilität (Technical Report)

Centrum für automatisierte Mobilität (CAMO) 2021.

(Links | BibTeX)

2020

Küppers, F.; Kronenberger, J.; Shantia, A.; Haselhoff, A.

Multivariate Confidence Calibration for Object Detection (Proceedings Article)

In: Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1322-1330, 2020.

(Links | BibTeX)

2019

Kronenberger, J.; Haselhoff, A.

Dependency Decomposition and a Reject Option for Explainable Models (Proceedings Article)

In: Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019.

(Links | BibTeX)

Küppers, F.; Albers, J.; Haselhoff, A.

Random Forest on an Embedded Device for Real-time Machine State Classification (Proceedings Article)

In: Proceedings of 27th European Signal Processing Conference (EUSIPCO 2019), pp. 1-5, 2019.

(Links | BibTeX)

2018

Kronenberger, J.; Haselhoff, A.

Do Capsule Networks Solve the Problem of Rotation Invariance for Traffic Sign Classification? (Proceedings Article)

In: Proceedings of the 27th International Conference on Artificial Neural Networks (ICANN 2018), pp. 33-40, 2018.

(Links | BibTeX)

2017

Haselhoff, A.; Nunn, C.; Meuter, M.; Müller, D.; Roese-Koerner, L.

Markov Random Field for Image Synthesis with an Application to Traffic Sign Recognition (Proceedings Article)

In: Proceedings of the 2017 IEEE Intelligent Vehicles Symposium (IV'17), pp. 1407-1412, 2017.

(Links | BibTeX)

2012

Haselhoff, A.; Kummert, A.

On filtering by means of generalized integral images: a review and applications (Book Section)

In: Multidimensional Systems and Signal Processing, vol. 23, pp. 291-312, Springer, Netherlands, 2012.

(Links | BibTeX)

2011

Haselhoff, A.; Höhmann, L.; Kummert, A.; Nunn, C.; Meuter, M.; Müller-Schneiders, S.

Multi-Camera Pedestrian Detection by Means of Track-To-Track Fusion and Car2Car Communication (Proceedings Article)

In: Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP 2011), pp. 307-312, 2011.

(Links | BibTeX)

2010

Haselhoff, A.; Kummert, A.

On Visual Crosswalk Detection for Driver Assistance Systems (Proceedings Article)

In: Proceedings of the 2010 IEEE Intelligent Vehicles Symposium (IV'10), pp. 883-888, 2010.

(Links | BibTeX)

Sichelschmidt, S.; Haselhoff, A.; Kummert, A.; Roehder, M.; Elias, B.; Berns, K.

Pedestrian Crossing Detection as a Part of an Urban Pedestrian Safety System (Proceedings Article)

In: Proceedings of the 2010 IEEE Intelligent Vehicles Symposium (IV'10), pp. 840-844, 2010.

(Links | BibTeX)

2009

Haselhoff, A.; Kummert, A.

An Evolutionary Optimized Vehicle Tracker in Collaboration with a Detection System (Proceedings Article)

In: Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems (ITSC'09), pp. 208-213, 2009.

(Links | BibTeX)

Haselhoff, A.; Kummert, A.

2D Line Filters for Vision-based Lane Detection and Tracking (Proceedings Article)

In: Proceedings of the 6th International Workshop on Multidimensional (nD) Systems (NDS09), pp. 1-5, 2009.

(Links | BibTeX)

Haselhoff, A.; Kummert, A.

A Vehicle Detection System based on Haar and Triangle Features (Proceedings Article)

In: Proceedings of the 2009 IEEE Intelligent Vehicles Symposium (IV'09), pp. 261-266, 2009.

(Links | BibTeX)

Haselhoff, A.; Kummert, A.

An Analysis of Sampling for Filter-based Feature Extraction and AdaBoost Learning (Proceedings Article)

In: Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP 2009), pp. 180-185, 2009.

(Links | BibTeX)

2008

Haselhoff, A.; Schauland, S.; Kummert, A.

A Signal Theoretic Approach to Measure the Influence of Image Resolution for Appearance-based Vehicle Detection (Proceedings Article)

In: Proceedings of the 2008 IEEE Intelligent Vehicles Symposium (IV'08), pp. 822-827, 2008.

(Links | BibTeX)

2007

Haselhoff, A.; Kummert, A.; Schneider, G.

Radar-Vision Fusion for Vehicle Detection by Means of Improved Haar-Like Feature and AdaBoost Approach (Proceedings Article)

In: Proceedings of the 15th Conference on European Signal Processing Conference (EUSIPCO 2007), pp. 2070-2074, 2007, ISBN: 978-839-2134-04-6.

(BibTeX)

0000

Haselhoff, Anselm Stephan; Müller, Dennis; Meuter, Mirko Nicolas; Nunn, Christian Markus

Verfahren zum Erzeugen eines Trainingsbildes (Miscellaneous)

0000.

(BibTeX)

Kummert, Anton; Schauland, Sam; Haselhoff, Anselm; Jörg, Velten; Georgios, Keremis; Marco, Krips

Verfahren und Vorrichtung zur Erzeugung von Bildinformationen (Miscellaneous)

0000.

(BibTeX)