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Georg Bökman
Georg Bökman
Verified email at chalmers.se
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Year
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
332022
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
222024
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
152024
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
142022
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
42024
Rigidity preserving image transformations and equivariance in perspective
L Brynte, G Bökman, A Flinth, F Kahl
Scandinavian Conference on Image Analysis, 59-76, 2023
42023
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
Investigating how ReLU-networks encode symmetries
G Bökman, F Kahl
Advances in Neural Information Processing Systems 36, 2024
32024
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
12024
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
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Articles 1–11