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Michael Weber
Michael Weber
Senior Scientist
Verified email at fzi.de
Title
Cited by
Cited by
Year
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
M Teichmann, M Weber, M Zoellner, R Cipolla, R Urtasun
2018 IEEE Intelligent Vehicles Symposium (IV), 2018
8122018
Learning how to drive in a real world simulation with deep q-networks
P Wolf, C Hubschneider, M Weber, A Bauer, J Härtl, F Dürr, JM Zöllner
2017 IEEE Intelligent Vehicles Symposium (IV), 244-250, 2017
1242017
DeepTLR: A single deep convolutional network for detection and classification of traffic lights
M Weber, P Wolf, JM Zöllner
2016 IEEE Intelligent Vehicles Symposium (IV), 342-348, 2016
1242016
Towards a framework for end-to-end control of a simulated vehicle with spiking neural networks
J Kaiser, JCV Tieck, C Hubschneider, P Wolf, M Weber, M Hoff, ...
2016 IEEE International Conference on Simulation, Modeling, and Programming …, 2016
642016
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
S Houben, S Abrecht, M Akila, A Bär, F Brockherde, P Feifel, ...
Deep Neural Networks and Data for Automated Driving, 3-78, 2022
532022
Adding Navigation to the Equation: Turning Decisions for End-to-End Vehicle Control
C Hubschneider, A Bauer, M Weber, JM Zöllner
2017 IEEE International Conference on Intelligent Transportation Systems …, 2017
512017
Part-based clothing segmentation for person retrieval
M Weber, M Bauml, R Stiefelhagen
2011 IEEE International Conference on Advanced Video and Signal-Based …, 2011
512011
Autonomous multi-story navigation for valet parking
S Klemm, M Essinger, J Oberländer, MR Zofka, F Kuhnt, M Weber, ...
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
452016
Towards Large Scale Urban Traffic Reference Data: Smart Infrastructure in the Test Area Autonomous Driving Baden-Württemberg
T Fleck, K Daaboul, M Weber, P Schörner, M Wehmer, J Doll, S Orf, ...
International Conference on Intelligent Autonomous Systems, 964-982, 2018
352018
Integrating End-to-End Learned Steering into Probabilistic Autonomous Driving
C Hubschneider, A Bauer, J Doll, M Weber, S Klemm, F Kuhnt, JM Zöllner
2017 IEEE International Conference on Intelligent Transportation Systems (ITSC), 2017
352017
Automated focal loss for image based object detection
M Weber, M Fürst, JM Zöllner
2020 IEEE Intelligent Vehicles Symposium (IV), 1423-1429, 2020
252020
Fully convolutional neural networks for dynamic object detection in grid maps
F Piewak, T Rehfeld, M Weber, JM Zöllner
2017 IEEE Intelligent Vehicles Symposium (IV), 392-398, 2017
252017
Using Mixture of Expert Models to Gain Insights Into Semantic Segmentation
S Pavlitskaya, C Hubschneider, M Weber, R Moritz, F Huger, P Schlicht, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
222020
HDTLR: A CNN based Hierarchical Detector for Traffic Lights
M Weber, M Huber, JM Zöllner
2018 IEEE International Conference on Intelligent Transportation Systems …, 2018
222018
Beyond Bounding Boxes: Using Bounding Shapes for Real-Time 3D Vehicle Detection from Monocular RGB Images
N Gählert, JJ Wan, M Weber, JM Zöllner, U Franke, J Denzler
2019 IEEE Intelligent Vehicles Symposium (IV), 675-682, 2019
122019
Direct 3D Detection of Vehicles in Monocular Images with a CNN based 3D Decoder
M Weber, M Fürst, JM Zöllner
2019 IEEE Intelligent Vehicles Symposium (IV), 417-423, 2019
122019
Estimating High Definition Map Parameters with Convolutional Neural Networks
S Bittel, T Rehfeld, M Weber, JM Zöllner
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017
92017
Learning Temporal Features with CNNs for Monocular Visual Ego Motion Estimation
M Weber, C Rist, M Zöllner
2017 IEEE International Conference on Intelligent Transportation Systems …, 2017
72017
Adversarial Vulnerability of Temporal Feature Networks for Object Detection
S Pavlitskaya, N Polley, M Weber, JM Zöllner
European Conference on Computer Vision, 510-525, 2022
42022
Evaluating Mixture-of-Experts Architectures for Network Aggregation
S Pavlitskaya, C Hubschneider, M Weber
Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty …, 2022
32022
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