Georg Bökman
Georg Bökman is a PhD student in the computer vision group. He is participating in the Wallenberg AI, Autonomous Systems and Software Program (WASP).
Showing 8 publications
DeDoDe: Detect, Don't Describe - Describe, Don't Detect for Local Feature Matching
Steerers: A Framework for Rotation Equivariant Keypoint Descriptors
DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector
Investigating how ReLU-networks encode symmetries
Rigidity Preserving Image Transformations and Equivariance in Perspective
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds
A case for using rotation invariant features in state of the art feature matchers
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