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[1]Hamd ul Moqeet Riaz* and Nuri Benbarka* and Andreas Zell. FourierNet: Compact Mask Representation for Instance Segmentation Using Differentiable Shape Decoders. In International Conference on Pattern Recognition (ICPR 2020), Milan, Italy (Virtual),January, 2021.
Bibtex@inproceedings{RiazICPR2020,
      title = {FourierNet: Compact Mask Representation for Instance Segmentation Using Differentiable Shape Decoders},
      author = {Hamd ul Moqeet Riaz* and Nuri Benbarka* and Andreas Zell},
      booktitle = {International Conference on Pattern Recognition (ICPR 2020)},
      address = {Milan, Italy (Virtual)},
      year = {2021},
      note = {(Accepted for publication) (*Equal contribution)},
      month = {January},
      owner = {Riaz},
      project = {abt_zell},
}
[2]Ya Wang and Andreas Zell. {Yolo+FPN: 2D and 3D Fused Object Detection With an RGB-D Camera}. In 25th International Conference on Pattern Recognition (ICPR), pages 4657--4664,, Milan, Italy (Virtually online),January, 2021.
Bibtex@inproceedings{WangICPR2020,
      title = {{Yolo+FPN: 2D and 3D Fused Object Detection With an RGB-D Camera}},
      author = {Ya Wang and Andreas Zell},
      booktitle = {25th International Conference on Pattern Recognition (ICPR)},
      pages = {4657--4664},
      address = {Milan, Italy (Virtually online)},
      year = {2021},
      month = {January},
      days = {10--15},
      owner = {wang},
      doi = {10.1109/ICPR48806.2021.9413066},
      project = {abt_zell},
      timestamp = {2021.01.12},
}
[3]Höfer, Timon and Shamsafar, Faranak and Benbarka, Nuri and Zell, Andreas. Object detection and Autoencoder-based 6D pose estimation for highly cluttered Bin Picking. In 2021 IEEE International Conference on Image Processing (ICIP), pages 704--708,February, 2021. [url]
Bibtex@inproceedings{hofer2021object,
      title = {Object detection and Autoencoder-based 6D pose estimation for highly cluttered Bin Picking},
      author = {Höfer, Timon and Shamsafar, Faranak and Benbarka, Nuri and Zell, Andreas},
      booktitle = {2021 IEEE International Conference on Image Processing (ICIP)},
      pages = {704--708},
      year = {2021},
      month = {February},
      organization = {IEEE},
      url = {https://ieeexplore.ieee.org/abstract/document/9506304},
      project = {abt_zell},
}
[4]Jonas Tebbe and Lukas Krauch and Yapeng Gao and Andreas Zell. {Sample-efficient Reinforcement Learning in Robotic Table Tennis}. In 2021 IEEE International Conference on Robotics and Automation (ICRA), Xian, China,May, 2021. [pdf]
Bibtex@inproceedings{TebbeICRA2021,
      title = {{Sample-efficient Reinforcement Learning in Robotic Table Tennis}},
      author = {Jonas Tebbe and Lukas Krauch and Yapeng Gao and Andreas Zell},
      booktitle = {2021 IEEE International Conference on Robotics and Automation (ICRA)},
      address = {Xian, China},
      year = {2021},
      month = {May},
      owner = {tebbe},
      project = {abt_zell, robotics},
      pdf = {https://arxiv.org/pdf/2011.03275},
}
[5]Mario Laux and Andreas Zell. {Robot Arm Motion Planning Based on Geodesics}. In 2021 IEEE International Conference on Robotics and Automation (ICRA), Xian, China,May, 2021.
Bibtex@inproceedings{LauxICRA2021,
      title = {{Robot Arm Motion Planning Based on Geodesics}},
      author = {Mario Laux and Andreas Zell},
      booktitle = {2021 IEEE International Conference on Robotics and Automation (ICRA)},
      address = {Xian, China},
      year = {2021},
      month = {May},
      owner = {Laux},
      project = {abt_zell, robotics},
}
[6]Varga, Leon Amadeus and Makowski, Jan and Zell, Andreas. {Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning}. In IEEE International Joint Conference on Neural Networks (IJCNN) 2021, Shenzhen, China (virtual),July, 2021. [pdf]
Bibtex@inproceedings{Varga2021,
      title = {{Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning}},
      author = {Varga, Leon Amadeus and Makowski, Jan and Zell, Andreas},
      booktitle = {IEEE International Joint Conference on Neural Networks (IJCNN) 2021},
      address = {Shenzhen, China (virtual)},
      note = {(Accepted for publication)},
      year = {2021},
      month = {July},
      owner = {varga},
      project = {abt_zell},
      pdf = {https://arxiv.org/abs/2104.09808},
      doi = {10.1109/IJCNN52387.2021.9533728},
}
[7]Rahim, Rafia and Shamsafar, Faranak and Zell, Andreas. Separable Convolutions for Optimizing 3D Stereo Networks. In 2021 IEEE International Conference on Image Processing (ICIP), pages 3208--3212,September, 2021. [pdf , url]
Bibtex@inproceedings{rahim2021separable,
      title = {Separable Convolutions for Optimizing 3D Stereo Networks},
      author = {Rahim, Rafia and Shamsafar, Faranak and Zell, Andreas},
      booktitle = {2021 IEEE International Conference on Image Processing (ICIP)},
      pages = {3208--3212},
      year = {2021},
      month = {September},
      organization = {IEEE},
      project = {abt_zell, DeepStereoVision},
      pdf = {https://arxiv.org/abs/2108.10216},
      url = {https://github.com/cogsys-tuebingen/separable-3D-convs-for-stereo-matching},
      doi = {10.1109/ICIP42928.2021.9506330},
}
[8]Varga, Leon Amadeus and Zell, Andreas. {Tackling the Background Bias in Sparse Object Detection via Cropped Windows}. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, pages 2768-2777,October, 2021. [pdf]
Bibtex@inproceedings{Varga_2021_ICCV,
      title = {{Tackling the Background Bias in Sparse Object Detection via Cropped Windows}},
      author = {Varga, Leon Amadeus and Zell, Andreas},
      booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
      month = {October},
      year = {2021},
      pages = {2768-2777},
      project = {abt_zell},
      pdf = {https://arxiv.org/abs/2106.02288},
}
[9]Kiefer*, Benjamin and Messmer*, Martin and Zell, Andreas. {Diminishing Domain Bias by Leveraging Domain Labels in Object Detection on UAVs}. In 2021 20th International Conference on Advanced Robotics (ICAR), pages 523-530,December, 2021. [pdf]
Bibtex@inproceedings{9659357,
      author = {Kiefer*, Benjamin and Messmer*, Martin and Zell, Andreas},
      booktitle = {2021 20th International Conference on Advanced Robotics (ICAR)},
      title = {{Diminishing Domain Bias by Leveraging Domain Labels in Object Detection on UAVs}},
      month = {December},
      year = {2021},
      volume = {},
      number = {},
      pages = {523-530},
      note = {(*Equal contribution)},
      project = {abt_zell},
      pdf = {https://arxiv.org/abs/2101.12677},
      doi = {10.1109/ICAR53236.2021.9659357},
}
[10]Yang, Chenhao and Liu, Yuyi and Zell, Andreas. Relative Camera Pose Estimation using Synthetic Data with Domain Adaptation via Cycle-Consistent Adversarial Networks. 2021.
Bibtex@article{YangJINT2021,
      title = {Relative Camera Pose Estimation using Synthetic Data with Domain Adaptation via Cycle-Consistent Adversarial Networks},
      author = {Yang, Chenhao and Liu, Yuyi and Zell, Andreas},
      journal = {Journal of Intelligent \& Robotic Systems},
      year = {2021},
      volume = {102},
      number = {79},
      publisher = {Springer},
      project = {abt_zell},
      doi = {https://doi.org/10.1007/s10846-021-01439-6},
}
[11]Yang, Chenhao and Liu, Yuyi and Zell, Andreas. Learning-based Camera Relocalization with Domain Adaptation via Image-to-Image Translation. In 2021 International Conference on Unmanned Aircraft Systems (ICUAS), pages 1047-1054,, Athens, Greece,2021.
Bibtex@INPROCEEDINGS{YangICUAS2021,
      author = {Yang, Chenhao and Liu, Yuyi and Zell, Andreas},
      booktitle = {2021 International Conference on Unmanned Aircraft Systems (ICUAS)},
      title = {Learning-based Camera Relocalization with Domain Adaptation via Image-to-Image Translation},
      address = {Athens, Greece},
      year = {2021},
      volume = {},
      number = {},
      project = {abt_zell},
      pages = {1047-1054},
}
[12]Gao, Yapeng and Tebbe, Jonas and Zell, Andreas. Robust Stroke Recognition via Vision and IMU in Robotic Table Tennis. In International Conference on Artificial Neural Networks, pages 379--390,, Cham,2021.
Bibtex@InProceedings{Gao2021_robust_stroke_recog,
      author = {Gao, Yapeng and Tebbe, Jonas and Zell, Andreas},
      title = {Robust Stroke Recognition via Vision and IMU in Robotic Table Tennis},
      booktitle = {International Conference on Artificial Neural Networks},
      year = {2021},
      publisher = {Springer International Publishing},
      address = {Cham},
      pages = {379--390},
      isbn = {978-3-030-86362-3},
      project = {abt_zell, robotics},
      organization = {Springer},
}