Articole cu mandate pentru acces public - Georg BökmanAflați mai multe
Disponibile undeva: 9
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
Mandate: Knut and Alice Wallenberg Foundation, Swedish Research Council
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
Mandate: Knut and Alice Wallenberg Foundation, Swedish Research Council
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
Mandate: Knut and Alice Wallenberg Foundation, Swedish Research Council
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
Mandate: Knut and Alice Wallenberg Foundation
Investigating how ReLU-networks encode symmetries
G Bökman, F Kahl
Advances in Neural Information Processing Systems 36, 13720-13744, 2023
Mandate: Knut and Alice Wallenberg Foundation, Swedish Research Council
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
Mandate: Knut and Alice Wallenberg Foundation, Swedish Research Council
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
Mandate: Knut and Alice Wallenberg Foundation, Swedish Research Council
Rigidity preserving image transformations and equivariance in perspective
L Brynte, G Bökman, A Flinth, F Kahl
Scandinavian Conference on Image Analysis, 59-76, 2023
Mandate: Knut and Alice Wallenberg Foundation, Swedish Research Council
Affine steerers for structured keypoint description
G Bökman, J Edstedt, M Felsberg, F Kahl
European Conference on Computer Vision, 449-468, 2024
Mandate: Knut and Alice Wallenberg Foundation, Swedish Research Council
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