90 citations · 152 across the 13 of their papers we have counts for
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cs.CV2024
Leveraging Semantic Cues from Foundation Vision Models for Enhanced Local Feature Correspondence
Felipe Cadar, Guilherme Potje, Renato Martins +2
Visual correspondence is a crucial step in key computer vision tasks, including camera localization, image registration, and structure from motion. The most effective techniques fo…
cs.CV2024★ 1 cited
XFeat: Accelerated Features for Lightweight Image Matching
Guilherme Potje, Felipe Cadar, Andre Araujo +2
We introduce a lightweight and accurate architecture for resource-efficient visual correspondence. Our method, dubbed XFeat (Accelerated Features), revisits fundamental design choi…