| RoMa: Robust dense feature matching J Edstedt, Q Sun, G Bökman, M Wadenbäck, M Felsberg Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 92 | 2024 |
| A case for using rotation invariant features in state of the art feature matchers G Bökman, F Kahl Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 41 | 2022 |
| DeDoDe: Detect, don’t describe—Describe, don’t detect for local feature matching J Edstedt, G Bökman, M Wadenbäck, M Felsberg 2024 International Conference on 3D Vision (3DV), 148-157, 2024 | 37 | 2024 |
| Zz-net: A universal rotation equivariant architecture for 2d point clouds G Bökman, F Kahl, A Flinth Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 17 | 2022 |
| Investigating how ReLU-networks encode symmetries G Bökman, F Kahl Advances in Neural Information Processing Systems 36, 13720-13744, 2023 | 7 | 2023 |
| Steerers: A framework for rotation equivariant keypoint descriptors G Bökman, J Edstedt, M Felsberg, F Kahl Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
| DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector J Edstedt, G Bökman, Z Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
| Rigidity preserving image transformations and equivariance in perspective L Brynte, G Bökman, A Flinth, F Kahl Scandinavian Conference on Image Analysis, 59-76, 2023 | 4 | 2023 |
| Azimuthal rotational equivariance in spherical convolutional neural networks C Toft, G Bökman, F Kahl 2022 26th International Conference on Pattern Recognition (ICPR), 3808-3814, 2022 | 4* | 2022 |
| Flopping for FLOPs: Leveraging equivariance for computational efficiency G Bökman, D Nordström, F Kahl arXiv preprint arXiv:2502.05169, 2025 | | 2025 |
| Affine steerers for structured keypoint description G Bökman, J Edstedt, M Felsberg, F Kahl European Conference on Computer Vision, 449-468, 2024 | | 2024 |
| From 2D to 3D: AISG-SLA visual localization challenge J Gao, B Ong, D Lwi, ZH Ng, XW Yee, MT Mak, WS Ng, SK Ng, HY Teo, ... arXiv preprint arXiv:2407.18590, 2024 | | 2024 |
| Equivariant deep learning with applications in computer vision G Bökman PQDT-Global, 2024 | | 2024 |
| In search of projectively equivariant networks G Bökman, A Flinth, F Kahl Transactions on Machine Learning Research, 2024 | | 2024 |
| Leveraging Cutting Edge Deep Learning Based Image Matching for Reconstructing a Large Scene from Sparse Images G Bökman, J Edstedt arXiv preprint arXiv:2310.01092, 2023 | | 2023 |
Fredrik KahlProfessor, Chalmers University of TechnologyAdresă de e-mail confirmată pe chalmers.se
