11 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
FMRT: Learning Accurate Feature Matching with Reconciliatory Transformer
Xinyu Zhang, Li Wang, Zhiqiang Jiang +6
Local Feature Matching, an essential component of several computer vision tasks (e.g., structure from motion and visual localization), has been effectively settled by Transformer-b…
cs.CV2023★ 11 cited
YOWOv2: A Stronger yet Efficient Multi-level Detection Framework for Real-time Spatio-temporal Action Detection
Jianhua Yang, Kun Dai
Designing a real-time framework for the spatio-temporal action detection task is still a challenge. In this paper, we propose a novel real-time action detection framework, YOWOv2.…
cs.CV2023★ 3 cited
DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature Matching
Tao Xie, Kun Dai, Ke Wang +2
Local feature matching between images remains a challenging task, especially in the presence of significant appearance variations, e.g., extreme viewpoint changes. In this work, we…