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Andreas Kuhn

3 accepted papers

2024

GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring

ECCV 2024poster

"The extraction of keypoints in images is at the basis of many computer vision applications, from localization to 3D reconstruction. Keypoints come with a score permitting to rank them according to their quality. While learned keypoints often exhibit better properties than handcrafted ones, their sc…

Cited by 1SourcePDFScholar
2023

S-TREK: Sequential Translation and Rotation Equivariant Keypoints for Local Feature Extraction

ICCV 2023poster

In this work we introduce S-TREK, a novel local feature extractor that combines a deep keypoint detector, which is both translation and rotation equivariant by design, with a lightweight deep descriptor extractor. We train the S-TREK keypoint detector within a framework inspired by reinforcement lea…

Cited by 17PDFScholar