2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2026
SceneGlue: Scene-Aware Transformer for Feature Matching without Scene-Level Annotation
Songlin Du, Xiaoyong Lu, Yaping Yan +3
Local feature matching plays a critical role in understanding the correspondence between cross-view images. However, traditional methods are constrained by the inherent local natur…
cs.CV2023
Scene-Aware Feature Matching
Xiaoyong Lu, Yaping Yan, Tong Wei +1
Current feature matching methods focus on point-level matching, pursuing better representation learning of individual features, but lacking further understanding of the scene. This…
cs.CV2023★ 2 cited
ParaFormer: Parallel Attention Transformer for Efficient Feature Matching
Xiaoyong Lu, Yaping Yan, Bin Kang +1
Heavy computation is a bottleneck limiting deep-learningbased feature matching algorithms to be applied in many realtime applications. However, existing lightweight networks optimi…