3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CV2025
PromptMID: Modal Invariant Descriptors Based on Diffusion and Vision Foundation Models for Optical-SAR Image Matching
Han Nie, Bin Luo, Jun Liu +4
The ideal goal of image matching is to achieve stable and efficient performance in unseen domains. However, many existing learning-based optical-SAR image matching methods, despite…
cs.CV2024
REMM:Rotation-Equivariant Framework for End-to-End Multimodal Image Matching
Han Nie, Bin Luo, Jun Liu +3
We present REMM, a rotation-equivariant framework for end-to-end multimodal image matching, which fully encodes rotational differences of descriptors in the whole matching pipeline…
cs.CV2024★ 3 cited
Source-free Domain Adaptive Object Detection in Remote Sensing Images
Weixing Liu, Jun Liu, Xin Su +2
Recent studies have used unsupervised domain adaptive object detection (UDAOD) methods to bridge the domain gap in remote sensing (RS) images. However, UDAOD methods typically assu…