Michael Weber

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 26

Top Topics

Convolutional Neural Networks

Object Detection

Autonomous Driving

Scene Recognition

Top Venues

Intelligent Vehicles Symposium

Publications

Svetlana Pavlitskaya, Nikolai Polley, Michael Weber, J. Marius Zöllner
Adversarial Vulnerability of Temporal Feature Networks for Object Detection. ECCV Workshops (5) (2022)
Svetlana Pavlitskaya, Nikolai Polley, Michael Weber, J. Marius Zöllner
Adversarial Vulnerability of Temporal Feature Networks for Object Detection. CoRR (2022)
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 (2021)
Michael Weber, Tassilo Wald, J. Marius Zöllner
Temporal Feature Networks for CNN based Object Detection. IV (2021)
Michael Weber, Tassilo Wald, J. Marius Zöllner
Temporal Feature Networks for CNN based Object Detection. CoRR (2021)
Michael Weber, Michael Fürst, J. Marius Zöllner
Automated Focal Loss for Image based Object Detection. IV (2020)
Svetlana Pavlitskaya, Christian Hubschneider, Michael Weber, Ruby Moritz, Fabian Hüger, Peter Schlicht, J. Marius Zöllner
Using Mixture of Expert Models to Gain Insights into Semantic Segmentation. CVPR Workshops (2020)
Michael Weber, Christof Wendenius, J. Marius Zöllner
Runtime Optimization of a CNN Model for Environment Perception. IV (2020)
Michael Weber, Michael Fürst, J. Marius Zöllner
Automated Focal Loss for Image based Object Detection. CoRR (2019)
Michael Weber, Michael Fürst, J. Marius Zöllner
Direct 3D Detection of Vehicles in Monocular Images with a CNN based 3D Decoder. IV (2019)
Nils Gählert, Jun-Jun Wan, Michael Weber, J. Marius Zöllner, Uwe Franke, Joachim Denzler
Beyond Bounding Boxes: Using Bounding Shapes for Real-Time 3D Vehicle Detection from Monocular RGB Images. IV (2019)
Michael Weber, Lucas Volkert, Christian Hubschneider, J. Marius Zöllner
CNN based Multi-View Object Detection and Association. ITSC (2019)
Marvin Teichmann, Michael Weber, J. Marius Zöllner, Roberto Cipolla, Raquel Urtasun
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving. Intelligent Vehicles Symposium (2018)
Tobias Fleck, Karam Daaboul, Michael Weber, Philip Schörner, Marek Wehmer, Jens Doll, Stefan Orf, Nico Sußmann, Christian Hubschneider, Marc René Zofka, Florian Kuhnt, Ralf Kohlhaas, Ingmar Baumgart, Raoul Zöllner, J. Marius Zöllner
Towards Large Scale Urban Traffic Reference Data: Smart Infrastructure in the Test Area Autonomous Driving Baden-Württemberg. IAS (2018)
Michael Weber, Matthias Huber, J. Marius Zöllner
HDTLR: A CNN based Hierarchical Detector for Traffic Lights. ITSC (2018)
Michael Weber, Christoph Rist, J. Marius Zöllner
Learning temporal features with CNNs for monocular visual ego motion estimation. ITSC (2017)
Peter Wolf, Christian Hubschneider, Michael Weber, Andre Bauer, Jonathan Härtl, Fabian Durr, Johann Marius Zöllner
Learning how to drive in a real world simulation with deep Q-Networks. Intelligent Vehicles Symposium (2017)
Florian Piewak, Timo Rehfeld, Michael Weber, J. Marius Zöllner
Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps. CoRR (2017)
Florian Piewak, Timo Rehfeld, Michael Weber, Johann Marius Zöllner
Fully convolutional neural networks for dynamic object detection in grid maps. Intelligent Vehicles Symposium (2017)
Christian Hubschneider, Andre Bauer, Michael Weber, J. Marius Zöllner
Adding navigation to the equation: Turning decisions for end-to-end vehicle control. ITSC (2017)
Christian Hubschneider, Andre Bauer, Jens Doll, Michael Weber, Sebastian Klemm, Florian Kuhnt, J. Marius Zöllner
Integrating end-to-end learned steering into probabilistic autonomous driving. ITSC (2017)
Sebastian Bittel, Timo Rehfeld, Michael Weber, J. Marius Zöllner
Estimating high definition map parameters with convolutional neural networks. SMC (2017)
Sebastian Klemm, Marc Essinger, Jan Oberländer, Marc Rene Zofka, Florian Kuhnt, Michael Weber, Ralf Kohlhaas, Alexander Kohs, Arne Roennau, Thomas Schamm, Johann Marius Zöllner
Autonomous multi-story navigation for valet parking. ITSC (2016)
Marvin Teichmann, Michael Weber, J. Marius Zöllner, Roberto Cipolla, Raquel Urtasun
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving. CoRR (2016)
Michael Weber, Peter Wolf, J. Marius Zöllner
DeepTLR: A single deep convolutional network for detection and classification of traffic lights. Intelligent Vehicles Symposium (2016)
Jacques Kaiser, Juan Camilo Vasquez Tieck, Christian Hubschneider, Peter Wolf, Michael Weber, Michael Hoff, Alexander Friedrich, Konrad Wojtasik, Arne Roennau, Ralf Kohlhaas, Rüdiger Dillmann, Johann Marius Zöllner
Towards a framework for end-to-end control of a simulated vehicle with spiking neural networks. SIMPAR (2016)