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ORCIDMichael Weber 0009
Person information
- affiliation: FZI Research Center for Information Technology, Karlsruhe, Germany
Other persons with the same name
- Michael Weber — disambiguation page
- Michael Weber 0001 — University of Ulm, Institute of Media Informatics, Germany
- Michael Weber 0002 — University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science
- Michael Weber 0003 — Humboldt-Universität zu Berlin
- Michael Weber 0004
![[0000-0002-8507-2219]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8507-2219")
— Medical University of Vienna, Department of Radiology, Austria - Michael Weber 0005 — RWTH Aachen, Shock Wave Laboratory
- Michael Weber 0006 — IN2 search interfaces development Ltd., Bremen, Germany
- Michael Weber 0007 — University of Vienna, Institute of Musicology, Austria
- Michael Weber 0008 — Kaiserslautern University of Technology, Germany
- Michael Weber 0010 — University of Regensburg, Department of Information Systems, Germany
- Michael Weber 0011 — Carnegie Mellon University Silicon Valley, Electrical and Computer Engineering Department, Moffett Field, CA, USA
- Michael Weber 0012 — Vienna University of Economics and Business, Vienna, Austria (and 1 more)
- Michael Weber 0013 — Neu-Ulm University of Applied Sciences, Center for Research on Service Sciences, Germany
- Michael Weber 0014 — Technical University of Munich, Department of Informatics, Garching, Germany
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Conference and Workshop Papers
- 2022
[c20]Svetlana Pavlitskaya, Nikolai Polley, Michael Weber, J. Marius Zöllner:
Adversarial Vulnerability of Temporal Feature Networks for Object Detection. ECCV Workshops (5) 2022: 510-525- 2021
- [c19]Michael Weber, Tassilo Wald, J. Marius Zöllner:
Temporal Feature Networks for CNN based Object Detection. IV 2021: 1478-1484 - 2020
- [c18]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: 1399-1406 - [c17]Michael Weber, Christof Wendenius, J. Marius Zöllner:
Runtime Optimization of a CNN Model for Environment Perception. IV 2020: 272-277 - [c16]Michael Weber, Michael Fürst, J. Marius Zöllner:
Automated Focal Loss for Image based Object Detection. IV 2020: 1423-1429 - 2019
- [c15]Michael Weber, Lucas Volkert, Christian Hubschneider, J. Marius Zöllner:
CNN based Multi-View Object Detection and Association. ITSC 2019: 73-78 - [c14]Michael Weber, Michael Fürst, J. Marius Zöllner:
Direct 3D Detection of Vehicles in Monocular Images with a CNN based 3D Decoder. IV 2019: 417-423 - [c13]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: 675-682 - 2018
- [c12]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: 964-982 - [c11]Michael Weber, Matthias Huber, J. Marius Zöllner:
HDTLR: A CNN based Hierarchical Detector for Traffic Lights. ITSC 2018: 255-260 - [c10]Marvin Teichmann, Michael Weber, J. Marius Zöllner, Roberto Cipolla, Raquel Urtasun:
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving. Intelligent Vehicles Symposium 2018: 1013-1020 - 2017
- [c9]Christian Hubschneider, André Bauer, Jens Doll, Michael Weber, Sebastian Klemm, Florian Kuhnt, J. Marius Zöllner:
Integrating end-to-end learned steering into probabilistic autonomous driving. ITSC 2017: 1-7 - [c8]Christian Hubschneider, André Bauer, Michael Weber, J. Marius Zöllner:
Adding navigation to the equation: Turning decisions for end-to-end vehicle control. ITSC 2017: 1-8 - [c7]Michael Weber, Christoph Rist, J. Marius Zöllner:
Learning temporal features with CNNs for monocular visual ego motion estimation. ITSC 2017: 1-6 - [c6]Peter Wolf, Christian Hubschneider, Michael Weber, André Bauer, Jonathan Härtl, Fabian Duerr, Johann Marius Zöllner:
Learning how to drive in a real world simulation with deep Q-Networks. Intelligent Vehicles Symposium 2017: 244-250 - [c5]Florian Piewak, Timo Rehfeld, Michael Weber, Johann Marius Zöllner:
Fully convolutional neural networks for dynamic object detection in grid maps. Intelligent Vehicles Symposium 2017: 392-398 - [c4]Sebastian Bittel, Timo Rehfeld, Michael Weber, J. Marius Zöllner:
Estimating high definition map parameters with convolutional neural networks. SMC 2017: 52-56 - 2016
- [c3]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: 1126-1133 - [c2]Michael Weber, Peter Wolf, J. Marius Zöllner:
DeepTLR: A single deep convolutional network for detection and classification of traffic lights. Intelligent Vehicles Symposium 2016: 342-348 - [c1]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: 127-134
Informal and Other Publications
- 2022
- [i6]Svetlana Pavlitskaya, Nikolai Polley, Michael Weber, J. Marius Zöllner:
Adversarial Vulnerability of Temporal Feature Networks for Object Detection. CoRR abs/2208.10773 (2022) - 2021
- [i5]Michael Weber, Tassilo Wald, J. Marius Zöllner:
Temporal Feature Networks for CNN based Object Detection. CoRR abs/2103.12213 (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) - 2019
- [i3]Michael Weber, Michael Fürst, J. Marius Zöllner:
Automated Focal Loss for Image based Object Detection. CoRR abs/1904.09048 (2019) - 2017
- [i2]Florian Piewak, Timo Rehfeld, Michael Weber, J. Marius Zöllner:
Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps. CoRR abs/1709.03139 (2017) - 2016
- [i1]Marvin Teichmann, Michael Weber, J. Marius Zöllner, Roberto Cipolla, Raquel Urtasun:
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving. CoRR abs/1612.07695 (2016)
Coauthor Index
aka: J. Marius Zöllner
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