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 Michael Weber

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

Temporal Feature Networks for CNN based Object Detection


Mar 22, 2021
Michael Weber, Tassilo Wald, J. Marius Zöllner


  Access Paper or Ask Questions

Automated Focal Loss for Image based Object Detection


Apr 19, 2019
Michael Weber, Michael Fürst, J. Marius Zöllner


  Access Paper or Ask Questions

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving


May 08, 2018
Marvin Teichmann, Michael Weber, Marius Zoellner, Roberto Cipolla, Raquel Urtasun

* 9 pages, 7 tables and 9 figures; first place on Kitti Road Segmentation; Code on GitHub (https://github.com/MarvinTeichmann/MultiNet

  Access Paper or Ask Questions

Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps


Sep 10, 2017
Florian Piewak, Timo Rehfeld, Michael Weber, J. Marius Zöllner

* This is a shorter version of the masters thesis of Florian Piewak and it was accapted at IV 2017 

  Access Paper or Ask Questions