Andreas Eitel

Orcid: 0000-0003-2799-2794

According to our database1, Andreas Eitel authored at least 19 papers between 2014 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Learning for interaction with objects.
PhD thesis, 2020

Improving Unimodal Object Recognition with Multimodal Contrastive Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Environmental Aware Vulnerability Scoring.
Proceedings of the 5th International Conference on Internet of Things, 2020

Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

A Systematic Approach toward Extracting Technically Enforceable Policies from Data Usage Control Requirements.
Proceedings of the 6th International Conference on Information Systems Security and Privacy, 2020

Integrated Data and Service Platforms for Smart Energy Networks as a Key Component for Smart Cities.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019
Deep 3D perception of people and their mobility aids.
Robotics Auton. Syst., 2019

Usage control architecture options for data sovereignty in business ecosystems.
J. Enterp. Inf. Manag., 2019

Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
From Plants to Landmarks: Time-invariant Plant Localization that uses Deep Pose Regression in Agricultural Fields.
CoRR, 2017

Learning to Singulate Objects Using a Push Proposal Network.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Perspectives on Deep Multimodel Robot Learning.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Deep Detection of People and their Mobility Aids for a Hospital Robot.
Proceedings of the 2017 European Conference on Mobile Robots, 2017

2016
The Freiburg Groceries Dataset.
CoRR, 2016

Choosing smartly: Adaptive multimodal fusion for object detection in changing environments.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015
Why Data Needs more Attention in Architecture Design - Experiences from Prototyping a Large-Scale Mobile App Ecosystem.
Proceedings of the 12th Working IEEE/IFIP Conference on Software Architecture, 2015

Multimodal deep learning for robust RGB-D object recognition.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014
Enhancing Cloud Security with Context-aware Usage Control Policies.
Proceedings of the 44. Jahrestagung der Gesellschaft für Informatik, Big Data, 2014


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