Christian Hubschneider

According to our database1, Christian Hubschneider authored at least 13 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Balancing Expert Utilization in Mixture-of-Experts Layers Embedded in CNNs.
CoRR, 2022

2021
Unsupervised Domain Adaptation via Shared Content Representation for Semantic Segmentation.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
Unsupervised Evaluation of Lidar Domain Adaptation.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 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
CNN based Multi-View Object Detection and Association.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Grid-Based Micro Traffic Prediction using Fully Convolutional Networks.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Calibrating Uncertainty Models for Steering Angle Estimation.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

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


  Loading...