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2020 – today
- 2020
[b1]Andreas Eitel:
Learning for interaction with objects. University of Freiburg, Freiburg im Breisgau, Germany, 2020, pp. 1-67- [c14]Jan-Philipp Exner, Michelle Krämer, Dirk Werth, Andreas Eitel
, Jochen Britz, Boris Brandherm:
Integrated Data and Service Platforms for Smart Energy Networks as a Key Component for Smart Cities. ICCSA (5) 2020: 468-483 - [c13]Arghavan Hosseinzadeh, Andreas Eitel, Christian Jung:
A Systematic Approach toward Extracting Technically Enforceable Policies from Data Usage Control Requirements. ICISSP 2020: 397-405 - [c12]Lukás Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox:
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control. ICRA 2020: 6498-6505 - [c11]Andreas Eitel:
Environmental Aware Vulnerability Scoring. IoTBDS 2020: 478-485 - [c10]Johannes Meyer, Andreas Eitel, Thomas Brox, Wolfram Burgard:
Improving Unimodal Object Recognition with Multimodal Contrastive Learning. IROS 2020: 5656-5663 - [i9]Andreas Eitel, Nico Hauff, Wolfram Burgard:
Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction. CoRR abs/2005.09484 (2020)
2010 – 2019
- 2019
- [j2]Johannes Zrenner, Frederik Möller, Christian Jung, Andreas Eitel, Boris Otto:
Usage control architecture options for data sovereignty in business ecosystems. J. Enterp. Inf. Manag. 32(3): 477-495 (2019) - [j1]Marina Kollmitz, Andreas Eitel, Andres Vasquez, Wolfram Burgard:
Deep 3D perception of people and their mobility aids. Robotics Auton. Syst. 114: 29-40 (2019) - [c9]Andreas Eitel, Nico Hauff, Wolfram Burgard:
Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction. IROS 2019: 4020-4026 - [i8]Lukás Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox:
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control. CoRR abs/1910.07972 (2019) - 2018
- [c8]Philipp Jund, Andreas Eitel, Nichola Abdo, Wolfram Burgard:
Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning. ICRA 2018: 1-7 - 2017
- [c7]Andres Vasquez, Marina Kollmitz, Andreas Eitel, Wolfram Burgard:
Deep Detection of People and their Mobility Aids for a Hospital Robot. ECMR 2017: 1-7 - [c6]Wolfram Burgard, Abhinav Valada, Noha Radwan, Tayyab Naseer, Jingwei Zhang, Johan Vertens, Oier Mees, Andreas Eitel, Gabriel L. Oliveira:
Perspectives on Deep Multimodel Robot Learning. ISRR 2017: 17-24 - [c5]Andreas Eitel, Nico Hauff, Wolfram Burgard:
Learning to Singulate Objects Using a Push Proposal Network. ISRR 2017: 405-419 - [i7]Philipp Jund, Andreas Eitel, Nichola Abdo, Wolfram Burgard:
Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning. CoRR abs/1707.00893 (2017) - [i6]Oier Mees, Andreas Eitel, Wolfram Burgard:
Choosing Smartly: Adaptive Multimodal Fusion for Object Detection in Changing Environments. CoRR abs/1707.05733 (2017) - [i5]Andreas Eitel, Nico Hauff, Wolfram Burgard:
Learning to Singulate Objects using a Push Proposal Network. CoRR abs/1707.08101 (2017) - [i4]Andres Vasquez, Marina Kollmitz, Andreas Eitel, Wolfram Burgard:
Deep Detection of People and their Mobility Aids for a Hospital Robot. CoRR abs/1708.00674 (2017) - [i3]Florian Kraemer, Alexander Schaefer, Andreas Eitel, Johan Vertens, Wolfram Burgard:
From Plants to Landmarks: Time-invariant Plant Localization that uses Deep Pose Regression in Agricultural Fields. CoRR abs/1709.04751 (2017) - 2016
- [c4]Oier Mees, Andreas Eitel, Wolfram Burgard:
Choosing smartly: Adaptive multimodal fusion for object detection in changing environments. IROS 2016: 151-156 - [i2]Philipp Jund, Nichola Abdo, Andreas Eitel, Wolfram Burgard:
The Freiburg Groceries Dataset. CoRR abs/1611.05799 (2016) - 2015
- [c3]Andreas Eitel, Jost Tobias Springenberg, Luciano Spinello, Martin A. Riedmiller, Wolfram Burgard:
Multimodal deep learning for robust RGB-D object recognition. IROS 2015: 681-687 - [c2]Matthias Naab, Susanne Braun, Torsten Lenhart, Steffen Hess, Andreas Eitel, Dominik Magin, Ralf Carbon, Felix Kiefer:
Why Data Needs more Attention in Architecture Design - Experiences from Prototyping a Large-Scale Mobile App Ecosystem. WICSA 2015: 75-84 - [i1]Andreas Eitel, Jost Tobias Springenberg, Luciano Spinello, Martin A. Riedmiller, Wolfram Burgard:
Multimodal Deep Learning for Robust RGB-D Object Recognition. CoRR abs/1507.06821 (2015) - 2014
- [c1]Christian Jung, Andreas Eitel, Reinhard Schwarz:
Enhancing Cloud Security with Context-aware Usage Control Policies. GI-Jahrestagung 2014: 211-222
Coauthor Index
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