| [1] | Benbarka*, Nuri and Höfer*, Timon and Zell, Andreas and others. Seeing implicit neural representations as fourier series. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pages 2041--2050,January, 2022. [url]Bibtex@inproceedings{benbarka2022seeing,title = {Seeing implicit neural representations as fourier series}, author = {Benbarka*, Nuri and Höfer*, Timon and Zell, Andreas and others}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision}, pages = {2041--2050}, year = {2022}, month = {January}, url = {https://openaccess.thecvf.com/content/WACV2022/html/Benbarka_Seeing_Implicit_Neural_Representations_As_Fourier_Series_WACV_2022_paper.html}, project = {abt_zell}, } |
| [2] | Varga*, Leon Amadeus and Kiefer*, Benjamin and Messmer*, Martin and Zell, Andreas. {SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water}. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pages 2260-2270,January, 2022. [pdf]Bibtex@inproceedings{Varga_2022_WACV,title = {{SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water}}, author = {Varga*, Leon Amadeus and Kiefer*, Benjamin and Messmer*, Martin and Zell, Andreas}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}, month = {January}, year = {2022}, pages = {2260-2270}, note = {(*Equal contribution)}, project = {abt_zell}, pdf = {https://openaccess.thecvf.com/content/WACV2022/html/Varga_SeaDronesSee_A_Maritime_Benchmark_for_Detecting_Humans_in_Open_Water_WACV_2022_paper.html}, } |
| [3] | Shamsafar*, Faranak and Woerz*, Samuel and Rahim, Rafia and Zell, Andreas. MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pages 2417-2426,January, 2022. [pdf]Bibtex@inproceedings{shamsafar2021mobilestereonet,title = {MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching}, author = {Shamsafar*, Faranak and Woerz*, Samuel and Rahim, Rafia and Zell, Andreas}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}, pages = {2417-2426}, note = {(*Equal contribution)}, year = {2022}, month = {January}, project = {abt_zell, DeepStereoVision}, pdf = {https://arxiv.org/abs/2108.09770}, } |
| [4] | Weber, Daniel and Kasneci, Enkelejda and Zell, Andreas. Exploiting Augmented Reality for Extrinsic Robot Calibration and Eye-Based Human-Robot Collaboration. In Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction, pages 284–293,March, 2022. [url]Bibtex@inproceedings{weber2022exploiting,author = {Weber, Daniel and Kasneci, Enkelejda and Zell, Andreas}, title = {Exploiting Augmented Reality for Extrinsic Robot Calibration and Eye-Based Human-Robot Collaboration}, year = {2022}, month = {March}, booktitle = {Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction}, pages = {284–293}, numpages = {10}, location = {Sapporo, Hokkaido, Japan}, series = {HRI '22}, url = {https://dl.acm.org/doi/10.5555/3523760.3523800}, project = {abt_zell}, } |
| [5] | Riaz, Hamd and Benbarka, Nuri and Hoefer, Timon and Zell, Andreas and others. FourierMask: Instance Segmentation Using Fourier Mapping in Implicit Neural Networks. In International Conference on Image Analysis and Processing, pages 587--598,April, 2022. [url]Bibtex@inproceedings{benbarka2022fouriermask,title = {FourierMask: Instance Segmentation Using Fourier Mapping in Implicit Neural Networks}, author = {Riaz, Hamd and Benbarka, Nuri and Hoefer, Timon and Zell, Andreas and others}, booktitle = {International Conference on Image Analysis and Processing}, pages = {587--598}, year = {2022}, organization = {Springer}, month = {April}, url = {https://link.springer.com/chapter/10.1007/978-3-031-06430-2_49}, project = {abt_zell}, } |
| [6] | Höfer, Timon and Zell, Andreas. Automatic Adjustment of Fourier Embedding Parametrizations for Implicit Neural Representations. In 2022 26th International Conference on Pattern Recognition (ICPR), pages 2307--2313,August, 2022. [url]Bibtex@inproceedings{hofer2022automatic,title = {Automatic Adjustment of Fourier Embedding Parametrizations for Implicit Neural Representations}, author = {Höfer, Timon and Zell, Andreas}, booktitle = {2022 26th International Conference on Pattern Recognition (ICPR)}, pages = {2307--2313}, year = {2022}, month = {August}, url = {https://ieeexplore.ieee.org/document/9956387}, organization = {IEEE}, project = {abt_zell}, } |
| [7] | Gao, Yapeng
and Tebbe, Jonas
and Zell, Andreas. Optimal stroke learning with policy gradient approach for robotic table tennis. Oct, 2022. [url]Bibtex@article{gao2022optimal,author = {Gao, Yapeng and Tebbe, Jonas and Zell, Andreas}, title = {Optimal stroke learning with policy gradient approach for robotic table tennis}, journal = {Applied Intelligence}, year = {2022}, month = {Oct}, day = {08}, issn = {1573-7497}, doi = {10.1007/s10489-022-04131-w}, url = {https://doi.org/10.1007/s10489-022-04131-w}, project = {abt_zell}, } |
| [8] | Weber*, Daniel and Fuhl*, Wolfgang and Zell, Andreas and Kasneci, Enkelejda. Gaze-Based Object Detection in the Wild. In 2022 Sixth IEEE International Conference on Robotic Computing (IRC)2022. Bibtex@inproceedings{weber2022gazebased,title = {Gaze-Based Object Detection in the Wild}, author = {Weber*, Daniel and Fuhl*, Wolfgang and Zell, Andreas and Kasneci, Enkelejda}, booktitle = {2022 Sixth IEEE International Conference on Robotic Computing (IRC)}, year = {2022}, organization = {IEEE}, note = {(*Equal contribution)}, project = {abt_zell}, } |
| [9] | Varga, Leon Amadeus and Koch, Sebastian and Zell, Andreas. Comprehensive Analysis of the Object Detection Pipeline on UAVs. 2022. [url]Bibtex@Article{rs14215508,author = {Varga, Leon Amadeus and Koch, Sebastian and Zell, Andreas}, title = {Comprehensive Analysis of the Object Detection Pipeline on UAVs}, journal = {Remote Sensing}, volume = {14}, year = {2022}, number = {5508}, url = {https://www.mdpi.com/2072-4292/14/21/5508}, issn = {2072-4292}, abstract = {An object detection pipeline comprises a camera that captures the scene and an object detector that processes these images. The quality of the images directly affects the performance of the object detector. Current works focus on independently improving the image quality or object detection models but neglect the importance of joint optimization of the two subsystems. This paper aims to tune the detection throughput and accuracy of existing object detectors in the remote sensing scenario by optimizing the input images tailored to the object detector. We empirically analyze the influence of two selected camera calibration parameters (camera distortion correction and gamma correction) and five image parameters (quantization, compression, resolution, color model, and additional channels) for these applications. For our experiments, we utilize three Unmanned Aerial Vehicle (UAV) data sets from different domains and a mixture of large and small state-of-the-art object detector models to provide an extensive evaluation of the influence of the pipeline parameters. Finally, we realize an object detection pipeline prototype on an embedded platform for a UAV and give a best practice recommendation for building object detection pipelines based on our findings. We show that not all parameters have an equal impact on detection accuracy and data throughput. Using a suitable compromise between parameters, we can achieve higher detection accuracy for lightweight object detection models while keeping the same data throughput.}, doi = {10.3390/rs14215508}, project = {abt_zell}, } |
| [10] | Messmer*, Martin and Kiefer*, Benjamin and Zell, Andreas. Gaining Scale Invariance in UAV Bird’s Eye View Object Detection by Adaptive Resizing. In 2022 26th International Conference on Pattern Recognition (ICPR), pages 3588-3594,2022. Bibtex@INPROCEEDINGS{9956122,author = {Messmer*, Martin and Kiefer*, Benjamin and Zell, Andreas}, booktitle = {2022 26th International Conference on Pattern Recognition (ICPR)}, title = {Gaining Scale Invariance in UAV Bird’s Eye View Object Detection by Adaptive Resizing}, year = {2022}, volume = {}, number = {}, pages = {3588-3594}, doi = {10.1109/ICPR56361.2022.9956122}, note = {(*Equal contribution)}, project = {abt_zell}, } |
| [11] | Gao, Yapeng and Tebbe, Jonas and Zell, Andreas. A Model-free Approach to Stroke Learning for Robotic Table Tennis. In 2022 International Joint Conference on Neural Networks (IJCNN), pages 1-8,2022. Bibtex@inproceedings{gao2022ijcnn,author = {Gao, Yapeng and Tebbe, Jonas and Zell, Andreas}, booktitle = {2022 International Joint Conference on Neural Networks (IJCNN)}, title = {A Model-free Approach to Stroke Learning for Robotic Table Tennis}, year = {2022}, volume = {}, number = {}, pages = {1-8}, doi = {10.1109/IJCNN55064.2022.9892776}, project = {abt_zell}, } |
| [12] | Kiefer, Benjamin and Ott, David and Zell, Andreas. Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles. In 2022 26th International Conference on Pattern Recognition (ICPR), pages 3564-3571,2022. Bibtex@INPROCEEDINGS{9956710,author = {Kiefer, Benjamin and Ott, David and Zell, Andreas}, booktitle = {2022 26th International Conference on Pattern Recognition (ICPR)}, title = {Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles}, year = {2022}, volume = {}, number = {}, pages = {3564-3571}, doi = {10.1109/ICPR56361.2022.9956710}, project = {abt_zell}, } |