Concepedia

Georg Bökman

GB

4

Publications

259

Citations

4

H-Index

2022

Active since

Affiliations

Chalmers University of Technology(Current)

Georg Bökman is an author at Chalmers University of Technology specializing in computer vision, computational geometry, and deep learning.

Top concepts

EngineeringData ScienceDeep LearningImage AnalysisMachine VisionComputer VisionComputer ScienceMachine LearningFeature DetectionPattern Recognition

Publications per year

2022–2024

4

Publications

4

RoMa: Robust Dense Feature Matching

Johan Edstedt, Qiyu Sun, Georg Bökman et al. · 2024 · 142 citations

DeDoDe: Detect, Don’t Describe — Describe, Don’t Detect for Local Feature Matching

Johan Edstedt, Georg Bökman, Mårten Wadenbäck et al. · 2024 · 64 citations

K Points, Machine Learning, Feature Detection +21

A case for using rotation invariant features in state of the art feature matchers

Georg Bökman, Fredrik Kahl · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2022 · 42 citations

Engineering, Machine Learning, Feature Detection +20

Steerers: A Framework for Rotation Equivariant Keypoint Descriptors

Georg Bökman, Johan Edstedt, Michael Felsberg et al. · 2024 · 11 citations

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