Michael Weber

Affiliations:
  • FZI Research Center for Information Technology, Karlsruhe, Germany


According to our database1, Michael Weber authored at least 21 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2022
Adversarial Vulnerability of Temporal Feature Networks for Object Detection.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety.
CoRR, 2021

Temporal Feature Networks for CNN based Object Detection.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

2020
Runtime Optimization of a CNN Model for Environment Perception.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Automated Focal Loss for Image based Object Detection.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Using Mixture of Expert Models to Gain Insights into Semantic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Direct 3D Detection of Vehicles in Monocular Images with a CNN based 3D Decoder.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Beyond Bounding Boxes: Using Bounding Shapes for Real-Time 3D Vehicle Detection from Monocular RGB Images.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

CNN based Multi-View Object Detection and Association.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

HDTLR: A CNN based Hierarchical Detector for Traffic Lights.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Towards Large Scale Urban Traffic Reference Data: Smart Infrastructure in the Test Area Autonomous Driving Baden-Württemberg.
Proceedings of the Intelligent Autonomous Systems 15, 2018

2017
Estimating high definition map parameters with convolutional neural networks.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Learning how to drive in a real world simulation with deep Q-Networks.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Fully convolutional neural networks for dynamic object detection in grid maps.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Learning temporal features with CNNs for monocular visual ego motion estimation.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Adding navigation to the equation: Turning decisions for end-to-end vehicle control.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Integrating end-to-end learned steering into probabilistic autonomous driving.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2016
Towards a framework for end-to-end control of a simulated vehicle with spiking neural networks.
Proceedings of the 2016 IEEE International Conference on Simulation, 2016

DeepTLR: A single deep convolutional network for detection and classification of traffic lights.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Autonomous multi-story navigation for valet parking.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016


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