36 citations · 36 across the 11 of their papers we have counts for
11 papers
TAR: Text Semantic Assisted Cross-modal Image Registration Framework for Optical and SAR Images
Zhuoyu Cai, Dou Quan, Ning Huyan +3
Existing deep learning-based methods can capture shared features from optical and synthetic aperture radar (SAR) images for spatial alignment. However, optical-SAR registration rem…
BGG: Bridging the Geometric Gap between Cross-View images by Vision Foundation Model Adaptation for Geo-Localization
Wei Wang, Dou Quan, Ning Huyan +4
Geometric differences between cross-view images, such as drone and satellite views, significantly increase the challenge of Cross-View Geo-Localization (CVGL), which aims to acquir…
Learning What Matters Now: Dynamic Preference Inference under Contextual Shifts
Xianwei Cao, Dou Quan, Zhenliang Zhang +1
Humans often juggle multiple, sometimes conflicting objectives and shift their priorities as circumstances change, rather than following a fixed objective function. In contrast, mo…
Generalizable Knowledge Distillation from Vision Foundation Models for Semantic Segmentation
Chonghua Lv, Dong Zhao, Shuang Wang +4
Knowledge distillation (KD) has been widely applied in semantic segmentation to compress large models, but conventional approaches primarily preserve in-domain accuracy while negle…
CLNet: Cross-View Correspondence Makes a Stronger Geo-Localizationer
Xianwei Cao, Dou Quan, Shuang Wang +4
Image retrieval-based cross-view geo-localization (IRCVGL) aims to match images captured from significantly different viewpoints, such as satellite and street-level images. Existin…
Multi-Expert Learning Framework with the State Space Model for Optical and SAR Image Registration
Wei Wang, Dou Quan, Ning Huyan +4
Optical and Synthetic Aperture Radar (SAR) image registration is crucial for multi-modal image fusion and applications. However, several challenges limit the performance of existin…
Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection
Dou Quan, Rufan Zhou, Shuang Wang +4
Deep learning methods have shown promising performances in remote sensing image change detection (CD). However, existing methods usually train a dataset-specific deep network for e…
Generalization-aware Remote Sensing Change Detection via Domain-agnostic Learning
Qi Zang, Shuang Wang, Dong Zhao +3
Change detection has essential significance for the region's development, in which pseudo-changes between bitemporal images induced by imaging environmental factors are key challen…
Transcending Fusion: A Multi-Scale Alignment Method for Remote Sensing Image-Text Retrieval
Rui Yang, Shuang Wang, Yingping Han +5
Remote Sensing Image-Text Retrieval (RSITR) is pivotal for knowledge services and data mining in the remote sensing (RS) domain. Considering the multi-scale representations in imag…
Relational Representation Learning Network for Cross-Spectral Image Patch Matching
Chuang Yu, Yunpeng Liu, Jinmiao Zhao +3
Recently, feature relation learning has drawn widespread attention in cross-spectral image patch matching. However, existing related research focuses on extracting diverse relation…
Unsupervised Outlier Detection using Memory and Contrastive Learning
Ning Huyan, Dou Quan, Xiangrong Zhang +3
Outlier detection is one of the most important processes taken to create good, reliable data in machine learning. The most methods of outlier detection leverage an auxiliary recons…