3 papers
cs.CV2025
DistillMatch: Leveraging Knowledge Distillation from Vision Foundation Model for Multimodal Image Matching
Meng Yang, Fan Fan, Zizhuo Li +3
Multimodal image matching seeks pixel-level correspondences between images of different modalities, crucial for cross-modal perception, fusion and analysis. However, the significan…
cs.CV2025
Real-World Depth Recovery via Structure Uncertainty Modeling and Inaccurate GT Depth Fitting
Delong Suzhang, Meng Yang
The low-quality structure in raw depth maps is prevalent in real-world RGB-D datasets, which makes real-world depth recovery a critical task in recent years. However, the lack of p…
cs.CV2025
Multimodal Image Matching based on Frequency-domain Information of Local Energy Response
Meng Yang, Jun Chen, Wenping Gong +2
Complicated nonlinear intensity differences, nonlinear local geometric distortions, noises and rotation transformation are main challenges in multimodal image matching. In order to…