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@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},
}

@inproceedings{sinitsyn2025prada,
 title = {PRaDA: Projective Radial Distortion Averaging},
 author = {D Sinitsyn and L Härenstam-Nielsen and D Cremers},
 booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference(CVPR)},
 pages = {21902--21912},
 year = {2025},
 titleurl = {prada_thumb.png},
 url = {https://openaccess.thecvf.com/content/CVPR2025/papers/Sinitsyn_PRaDA_Projective_Radial_Distortion_Averaging_CVPR_2025_paper.pdf},
}

@inproceedings{solonets2026global,
 title = {Global Focal and Radial Distortion Averaging from Radial Fundamental Matrices for Robust Self-Calibration},
 author = {S Solonets and D Sinitsyn and D Cremers},
 booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
 pages = {4777--4786},
 year = {2026},
 url = {https://openaccess.thecvf.com/content/WACV2026/papers/Solonets_Global_Focal_and_Radial_Distortion_Averaging_from_Radial_Fundamental_Matrices_WACV_2026_paper.pdf},
 titleurl = {solo_dsin_2026_focal.png},
}