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Shuang Wang

5 papers hereh-index 475 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.SP1
same name
  • Shuang Wang — 81 papers, h 35
  • Shuang Wang — 34 papers, h 20
  • Shuang Wang — 10 papers, h 5
  • Shuang Wang — 8 papers, h 8
  • Shuang Wang — 8 papers, h 5
  • Shuang Wang — 5 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

Domain-aware Category-level Geometry Learning Segmentation for 3D Point Clouds

Pei He, Lingling Li, Licheng Jiao +5

Domain generalization in 3D segmentation is a critical challenge in deploying models to unseen environments. Current methods mitigate the domain shift by augmenting the data distri…

cs.CV2023

Transferring Modality-Aware Pedestrian Attentive Learning for Visible-Infrared Person Re-identification

Yuwei Guo, Wenhao Zhang, Licheng Jiao +3

Visible-infrared person re-identification (VI-ReID) aims to search the same pedestrian of interest across visible and infrared modalities. Existing models mainly focus on compensat…

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