Andreas Eitel
Andreas Eitel
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Multimodal Deep Learning for Robust RGB-D Object Recognition
A Eitel, JT Springenberg, L Spinello, M Riedmiller, W Burgard
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015
Choosing Smartly: Adaptive Multimodal Fusion for Object Detection in Changing Environments
O Mees, A Eitel, W Burgard
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016
Learning to Singulate Objects using a Push Proposal Network
A Eitel, N Hauff, W Burgard
International Symposium on Robotics Research (ISRR), 2017
The freiburg groceries dataset
P Jund, N Abdo, A Eitel, W Burgard
arXiv preprint arXiv:1611.05799, 2016
Optimization beyond the convolution: Generalizing spatial relations with end-to-end metric learning
P Jund, A Eitel, N Abdo, W Burgard
2018 IEEE International Conference on Robotics and Automation (ICRA), 1-7, 2018
From plants to landmarks: Time-invariant plant localization that uses deep pose regression in agricultural fields
F Kraemer, A Schaefer, A Eitel, J Vertens, W Burgard
arXiv preprint arXiv:1709.04751, 2017
Deep detection of people and their mobility aids for a hospital robot
A Vasquez, M Kollmitz, A Eitel, W Burgard
2017 European Conference on Mobile Robots (ECMR), 1-7, 2017
Deep 3D perception of people and their mobility aids
M Kollmitz, A Eitel, A Vasquez, W Burgard
Robotics and Autonomous Systems 114, 29-40, 2019
Perspectives on Deep Multimodel Robot Learning
W Burgard, A Valada, N Radwan, T Naseer, J Zhang, J Vertens, O Mees, ...
Robotics Research, 17-24, 2020
Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction
A Eitel, N Hauff, W Burgard
arXiv preprint arXiv:2005.09484, 2020
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control
L Hermann, M Argus, A Eitel, A Amiranashvili, W Burgard, T Brox
arXiv preprint arXiv:1910.07972, 2019
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