Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Tim Wirtz

Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis


Jun 10, 2021
Julia Rosenzweig, Eduardo Brito, Hans-Ulrich Kobialka, Maram Akila, Nico M. Schmidt, Peter Schlicht, Jan David Schneider, Fabian Hüger, Matthias Rottmann, Sebastian Houben, Tim Wirtz

* The first two authors contributed equally. Accepted at the 4th Workshop on "Ensuring and Validating Safety for Automated Vehicles" (WS13), IV2021. Under IEEE Copyright 

  Access Paper or Ask Questions

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


Apr 29, 2021
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

* 94 pages 

  Access Paper or Ask Questions

Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation


Apr 19, 2021
Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hueger, Tim Wirtz

* Published at SAIAD (Safe Artificial Intelligence for Automated Driving) workshop at CVPR2021 

  Access Paper or Ask Questions

Street-Map Based Validation of Semantic Segmentation in Autonomous Driving


Apr 15, 2021
Laura von Rueden, Tim Wirtz, Fabian Hueger, Jan David Schneider, Nico Piatkowski, Christian Bauckhage

* Final version accepted at the International Conference on Pattern Recognition (ICPR). arXiv admin note: substantial text overlap with arXiv:2011.08008 

  Access Paper or Ask Questions

Supporting verification of news articles with automated search for semantically similar articles


Mar 29, 2021
Vishwani Gupta, Katharina Beckh, Sven Giesselbach, Dennis Wegener, Tim Wirtz


  Access Paper or Ask Questions

Approaching Neural Network Uncertainty Realism


Jan 08, 2021
Joachim Sicking, Alexander Kister, Matthias Fahrland, Stefan Eickeler, Fabian Hüger, Stefan Rüping, Peter Schlicht, Tim Wirtz

* Accepted at the NeurIPS 2019 Workshop on Machine Learning for Autonomous Driving (ML4AD) 

  Access Paper or Ask Questions

A Novel Regression Loss for Non-Parametric Uncertainty Optimization


Jan 07, 2021
Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel

* Accepted at the 3rd Symposium on Advances in Approximate Bayesian Inference (AABI), code is available on: https://github.com/fraunhofer-iais/second-moment-loss. arXiv admin note: substantial text overlap with arXiv:2012.12687 

  Access Paper or Ask Questions

Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties


Dec 23, 2020
Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel

* Code is available on: https://github.com/fraunhofer-iais/second-moment-loss 

  Access Paper or Ask Questions

DenseHMM: Learning Hidden Markov Models by Learning Dense Representations


Dec 17, 2020
Joachim Sicking, Maximilian Pintz, Maram Akila, Tim Wirtz

* Accepted at LMRL workshop at NeurIPS 2020. Code is available on: https://github.com/fraunhofer-iais/dense-hmm 

  Access Paper or Ask Questions

Towards Map-Based Validation of Semantic Segmentation Masks


Nov 03, 2020
Laura von Rueden, Tim Wirtz, Fabian Hueger, Jan David Schneider, Christian Bauckhage


  Access Paper or Ask Questions

Characteristics of Monte Carlo Dropout in Wide Neural Networks


Jul 10, 2020
Joachim Sicking, Maram Akila, Tim Wirtz, Sebastian Houben, Asja Fischer

* Accepted at the ICML 2020 workshop for Uncertainty and Robustness in Deep Learning 

  Access Paper or Ask Questions

Efficient Decentralized Deep Learning by Dynamic Model Averaging


Jul 09, 2018
Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel


  Access Paper or Ask Questions