Anselm Haselhoff

According to our database, Anselm Haselhoff authored at least 24 papers between 2007 and 2022.

Collaborative distances:

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

2022

Segmentation-guided Domain Adaptation for Efficient Depth Completion.

Fabian Märkert, Martin Sunkel, Anselm Haselhoff, Stefan Rudolph

CoRR, 2022

Confidence Calibration for Object Detection and Segmentation.

Fabian Küppers, Anselm Haselhoff, Jan Kronenberger, Jonas Schneider

CoRR, 2022

Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection.

Fabian Küppers, Jonas Schneider, Anselm Haselhoff

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety.

Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle

CoRR, 2021

Bayesian Confidence Calibration for Epistemic Uncertainty Modelling.

Fabian Küppers, Jan Kronenberger, Jonas Schneider, Anselm Haselhoff

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Towards Black-Box Explainability With Gaussian Discriminant Knowledge Distillation.

Anselm Haselhoff, Jan Kronenberger, Fabian Küppers, Jonas Schneider

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

From Black-box to White-box: Examining Confidence Calibration under different Conditions.

Franziska Schwaiger, Maximilian Henne, Fabian Küppers, Felippe Schmoeller Roza, Karsten Roscher, Anselm Haselhoff

Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021) co-located with the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021

2020

Dependency Decomposition and a Reject Option for Explainable Models.

Jan Kronenberger, Anselm Haselhoff

CoRR, 2020

Multivariate Confidence Calibration for Object Detection.

Fabian Küppers, Jan Kronenberger, Amirhossein Shantia, Anselm Haselhoff

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Random Forest on an Embedded Device for Real-time Machine State Classification.

Fabian Küppers, Jonas Albers, Anselm Haselhoff

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Do Capsule Networks Solve the Problem of Rotation Invariance for Traffic Sign Classification?

Jan Kronenberger, Anselm Haselhoff

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Markov random field for image synthesis with an application to traffic sign recognition.

Anselm Haselhoff, Christian Nunn, Dennis Müller, Mirko Meuter, Lutz Roese-Koerner

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2012

Beiträge zur Signalverarbeitung für eine kamerabasierte Erkennung von Fahrzeugen, Fußgängern und Fußgängerüberwegen: Wahl der Trainingsbildauflösung, schnelle Filterung, Sensordatenfusion und optimiertes optisches Tracking.

Anselm Haselhoff

PhD thesis, 2012

On filtering by means of generalized integral images: a review and applications.

Anselm Haselhoff, Anton Kummert

Multidimens. Syst. Signal Process., 2012

2011

Multi-camera Pedestrian Detection by Means of Track-To-Track Fusion and Car2Car Communication.

Anselm Haselhoff, Lars Hoehmann, Anton Kummert, Christian Nunn, Mirko Meuter, Stefan Müller-Schneiders

Proceedings of the VISAPP 2011, 2011

Multisensor data fusion for advanced driver assistance systems - the Active Safety Car project.

Alexandros Gavriilidis, Tim Schwerdtfeger, Jörg Velten, Sam Schauland, Lars Hoehmann, Anselm Haselhoff, Fritz Boschen, Anton Kummert

Proceedings of the 7th International Workshop on Multidimensional (nD) Systems, 2011

On Occlusion-Handling for People Detection Fusion in Multi-camera Networks.

Anselm Haselhoff, Lars Hoehmann, Christian Nunn, Mirko Meuter, Anton Kummert

Proceedings of the Multimedia Communications, Services and Security, 2011

2010

Pedestrian crossing detecting as a part of an urban pedestrian safety system.

Sebastian Sichelschmidt, Anselm Haselhoff, Anton Kummert, Martin Roehder, Bjoern Elias, Karsten Berns

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010

On visual crosswalk detection for driver assistance systems.

Anselm Haselhoff, Anton Kummert

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010

2009

An Analysis of Sampling for Filter-based Feature Extraction and AdaBoost Learning.

Anselm Haselhoff, Anton Kummert

Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

2D line filters for vision-based lane detection and tracking.

Anselm Haselhoff, Anton Kummert

Proceedings of the 2009 International Workshop on Multidimensional (nD) Systems, 2009

An evolutionary optimized vehicle tracker in collaboration with a detection system.

Anselm Haselhoff, Anton Kummert

Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, 2009

2007

Radar-Vision Fusion with an Application to Car-Following using an Improved AdaBoost Detection Algorithm.

Anselm Haselhoff, Anton Kummert, Georg Schneider

Proceedings of the IEEE Intelligent Transportation Systems Conference, 2007

Radar-vision fusion for vehicle detection by means of improved haar-like feature and AdaBoost approach.

Anselm Haselhoff, Anton Kummert, Georg Schneider

Proceedings of the 15th European Signal Processing Conference, 2007