2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Raising the Ceiling: Conflict-Free Local Feature Matching with Dynamic View Switching
Xiaoyong Lu, Songlin Du
Current feature matching methods prioritize improving modeling capabilities to better align outputs with ground-truth matches, which are the theoretical upper bound on matching res…
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…