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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://dblp1.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
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2020 – today
- 2021
[i4]Michael Weber, Tassilo Wald, J. Marius Zöllner:
Temporal Feature Networks for CNN based Object Detection. CoRR abs/2103.12213 (2021)- 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
2010 – 2019
- 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 - [i3]Michael Weber, Michael Fürst, J. Marius Zöllner:
Automated Focal Loss for Image based Object Detection. CoRR abs/1904.09048 (2019) - 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, 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: 1-7 - [c8]Christian Hubschneider, Andre 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, 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: 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 - [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
- [c3]Sebastian Klemm, Marc Essinger, Jan Oberländer, Marc Rene Zofka, Florian Kuhnt, Michael Weber, Ralf Kohlhaas, Alexander Kohs, Arne Rönnau, 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 Rönnau, 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 - [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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