| 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 | 820 | 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 | 136 | 2016 |
| Learning to Singulate Objects using a Push Proposal Network A Eitel, N Hauff, W Burgard International Symposium on Robotics Research (ISRR), 2017 | 90 | 2017 |
| The freiburg groceries dataset P Jund, N Abdo, A Eitel, W Burgard arXiv preprint arXiv:1611.05799, 2016 | 89 | 2016 |
| 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 | 46 | 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 | 38 | 2019 |
| Adaptive curriculum generation from demonstrations for sim-to-real visuomotor control L Hermann, M Argus, A Eitel, A Amiranashvili, W Burgard, T Brox 2020 IEEE International Conference on Robotics and Automation (ICRA), 6498-6505, 2020 | 31 | 2020 |
| 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), 4510-4516, 2018 | 22 | 2018 |
| Improving unimodal object recognition with multimodal contrastive learning J Meyer, A Eitel, T Brox, W Burgard 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 21 | 2020 |
| 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 | 20 | 2017 |
| Self-supervised transfer learning for instance segmentation through physical interaction A Eitel, N Hauff, W Burgard 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 19 | 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 | 11 | 2020 |
| Learning for Interaction with Objects A Eitel Albert-Ludwigs-Universität Freiburg, 2020 | | 2020 |
Wolfram BurgardProfessor of Computer Science, Technical University of NurembergEmail verificata su utn.de
