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ORCIDAnselm Haselhoff
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2020 – today
- 2024
[c19]Anselm Haselhoff
, Kevin Trelenberg, Fabian Küppers, Jonas Schneider:
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-explainable Model with Counterfactual Explanations. ECCV (53) 2024: 305-322- [i10]Sven Lämmle, Can Bogoclu, Robert Vosshall, Anselm Haselhoff, Dirk Roos:
Quantifying Local Model Validity using Active Learning. CoRR abs/2406.07474 (2024) - [i9]Anselm Haselhoff, Kevin Trelenberg, Fabian Küppers, Jonas Schneider:
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations. CoRR abs/2409.12952 (2024) - 2022
- [c18]Fabian Küppers, Jonas Schneider, Anselm Haselhoff:
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection. ECCV Workshops (5) 2022: 426-442 - [i8]Fabian Küppers, Anselm Haselhoff, Jan Kronenberger, Jonas Schneider:
Confidence Calibration for Object Detection and Segmentation. CoRR abs/2202.12785 (2022) - [i7]Fabian Küppers, Jonas Schneider, Anselm Haselhoff:
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection. CoRR abs/2207.01242 (2022) - [i6]Fabian Märkert, Martin Sunkel, Anselm Haselhoff, Stefan Rudolph:
Segmentation-guided Domain Adaptation for Efficient Depth Completion. CoRR abs/2210.09213 (2022) - 2021
- [c17]Franziska Schwaiger, Maximilian Henne, Fabian Küppers, Felippe Schmoeller Roza, Karsten Roscher, Anselm Haselhoff:
From Black-box to White-box: Examining Confidence Calibration under different Conditions. SafeAI@AAAI 2021 - [c16]Anselm Haselhoff, Jan Kronenberger, Fabian Küppers, Jonas Schneider:
Towards Black-Box Explainability With Gaussian Discriminant Knowledge Distillation. CVPR Workshops 2021: 21-28 - [c15]Fabian Küppers, Jan Kronenberger, Jonas Schneider, Anselm Haselhoff:
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling. IV 2021: 466-472 - [i5]Franziska Schwaiger, Maximilian Henne, Fabian Küppers, Felippe Schmoeller Roza, Karsten Roscher, Anselm Haselhoff:
From Black-box to White-box: Examining Confidence Calibration under different Conditions. CoRR abs/2101.02971 (2021) - [i4]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:
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. CoRR abs/2104.14235 (2021) - [i3]Fabian Küppers, Jan Kronenberger, Jonas Schneider, Anselm Haselhoff:
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling. CoRR abs/2109.10092 (2021) - 2020
- [c14]Fabian Küppers, Jan Kronenberger, Amirhossein Shantia, Anselm Haselhoff:
Multivariate Confidence Calibration for Object Detection. CVPR Workshops 2020: 1322-1330 - [i2]Fabian Küppers, Jan Kronenberger, Amirhossein Shantia, Anselm Haselhoff:
Multivariate Confidence Calibration for Object Detection. CoRR abs/2004.13546 (2020) - [i1]Jan Kronenberger, Anselm Haselhoff:
Dependency Decomposition and a Reject Option for Explainable Models. CoRR abs/2012.06523 (2020)
2010 – 2019
- 2019
- [c13]Fabian Küppers, Jonas Albers, Anselm Haselhoff:
Random Forest on an Embedded Device for Real-time Machine State Classification. EUSIPCO 2019: 1-5 - 2018
- [c12]Jan Kronenberger, Anselm Haselhoff:
Do Capsule Networks Solve the Problem of Rotation Invariance for Traffic Sign Classification? ICANN (3) 2018: 33-40 - 2017
- [c11]Anselm Haselhoff, Christian Nunn, Dennis Müller, Mirko Meuter, Lutz Roese-Koerner:
Markov random field for image synthesis with an application to traffic sign recognition. Intelligent Vehicles Symposium 2017: 1407-1412 - 2012
- [b1]Anselm Haselhoff:
Beiträge zur Signalverarbeitung für eine kamerabasierte Erkennung von Fahrzeugen, Fußgängern und Fußgängerüberwegen: Wahl der Trainingsbildauflösung, schnelle Filterung, Sensordatenfusion und optimiertes optisches Tracking. University of Wuppertal, Der Andere Verlag 2012, ISBN 978-3-86247-251-2, pp. 1-176 - [j1]Anselm Haselhoff, Anton Kummert:
On filtering by means of generalized integral images: a review and applications. Multidimens. Syst. Signal Process. 23(1-2): 291-312 (2012) - 2011
- [c10]Anselm Haselhoff, Lars Hoehmann, Christian Nunn, Mirko Meuter, Anton Kummert:
On Occlusion-Handling for People Detection Fusion in Multi-camera Networks. MCSS 2011: 113-119 - [c9]Alexandros Gavriilidis, Tim Schwerdtfeger, Jörg Velten, Sam Schauland, Lars Hoehmann, Anselm Haselhoff, Fritz Boschen, Anton Kummert:
Multisensor data fusion for advanced driver assistance systems - the Active Safety Car project. nDS 2011: 1-5 - [c8]Anselm Haselhoff, Lars Hoehmann, Anton Kummert, Christian Nunn, Mirko Meuter, Stefan Müller-Schneiders:
Multi-camera Pedestrian Detection by Means of Track-To-Track Fusion and Car2Car Communication. VISAPP 2011: 307-312 - 2010
- [c7]Sebastian Sichelschmidt, Anselm Haselhoff, Anton Kummert, Martin Roehder, Bjoern Elias, Karsten Berns:
Pedestrian crossing detecting as a part of an urban pedestrian safety system. Intelligent Vehicles Symposium 2010: 840-844 - [c6]Anselm Haselhoff, Anton Kummert:
On visual crosswalk detection for driver assistance systems. Intelligent Vehicles Symposium 2010: 883-888
2000 – 2009
- 2009
- [c5]Anselm Haselhoff, Anton Kummert:
An evolutionary optimized vehicle tracker in collaboration with a detection system. ITSC 2009: 1-6 - [c4]Anselm Haselhoff, Anton Kummert:
2D line filters for vision-based lane detection and tracking. nDS 2009: 1-5 - [c3]Anselm Haselhoff, Anton Kummert:
An Analysis of Sampling for Filter-based Feature Extraction and AdaBoost Learning. VISAPP (2) 2009: 180-185 - 2007
- [c2]Anselm Haselhoff, Anton Kummert, Georg Schneider:
Radar-vision fusion for vehicle detection by means of improved haar-like feature and AdaBoost approach. EUSIPCO 2007: 2070-2074 - [c1]Anselm Haselhoff, Anton Kummert, Georg Schneider:
Radar-Vision Fusion with an Application to Car-Following using an Improved AdaBoost Detection Algorithm. ITSC 2007: 854-858
Coauthor Index
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