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@inproceedings{klenk2022masked,
 title = {Masked Event Modeling: Self-Supervised Pretraining for Event Cameras},
 author = {S Klenk and D Bonello and L Koestler and N Araslanov and D Cremers},
 journal = {arXiv preprint arXiv:2212.10368},
 year = {2024},
 eprint = {2212.10368},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 booktitle = {{IEEE Winter Conference on Applications of Computer Vision (WACV)}},
 month = {January},
 address = {Hawaii, USA},
}

@inproceedings{solonets2024analytical,
 title = {An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment},
 author = {S Solonets and D Sinitsyn and L von Stumberg and N Araslanov and D Cremers},
 booktitle = {{International Conference on Learning Representations (ICLR)}},
 month = {May},
 address = {Vienna, Austria},
 year = {2024},
 award = {Oral Presentation},
 titleurl = {solonets2024gnloss.png},
}

@article{bahmani2023ssa,
 title = {Semantic Self-adaptation: Enhancing Generalization with a Single Sample},
 author = {S Bahmani and O Hahn and E Zamfir and N Araslanov and D Cremers and S Roth},
 journal = {Transactions on Machine Learning Research (TMLR)},
 issn = {2835-8856},
 year = {2023},
 eprint = {2208.05788},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 titleurl = {bahmani2023ssa.png},
}

@inproceedings{weber2024flattening,
 title = {Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball},
 author = {S Weber and B Zöngür and N Araslanov and D Cremers},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 keywords = {segmentation, hyperbolic, calibration},
 titleurl = {weber_hyperbolic.png},
 year = {2024},
 eprint = {2404.03778},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
}

@inproceedings{haerenstam2024diffcd,
 title = {DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting},
 author = {L Härenstam-Nielsen and L Sang and A Saroha and N Araslanov and D Cremers},
 booktitle = {European Conference on Computer Vision (ECCV)},
 year = {2024},
 eprinttype = {arXiv},
 eprint = {2407.17058},
 titleurl = {diffcd.png},
}

@inproceedings{meier-CDrone,
 author = {JM Meier and L Scalerandi and O Dhaouadi and J Kaiser and N Araslanov and D Cremers},
 title = {{CARLA Drone:} Monocular 3D Object Detection from a Different Perspective},
 booktitle = {46th German Conference on Pattern Recognition (GCPR)},
 year = {2024},
 titleurl = {meier2024cdrone.png},
 award = {Oral Presentation},
 url = {https://www.arxiv.org/pdf/2408.11958},
}

@inproceedings{reich2025cups,
 title = {Scene-Centric Unsupervised Panoptic Segmentation},
 author = {C Reich* and O Hahn* and N Araslanov and D Cremers and C Rupprecht and S Roth},
 booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2025},
 pages = {24485-24495},
 award = {Highlight Paper (top 3% of submitted papers)},
 titleurl = {reich2025cups.png},
 eprint = {2504.01955},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
}

@inproceedings{schnaus2025match,
 title = {It’s a (Blind) Match! Towards Vision-Language Correspondence without Parallel Data},
 author = {D Schnaus and N Araslanov and D Cremers},
 booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2025},
 titleurl = {schnaus2025match.png},
}