2 citations · 2 across the 7 of their papers we have counts for
8 papers
KSG-Net: Key-Sparse and Global-Context Learning for Maritime 3D Ship Detection
Zhouyuan Huai, Meiqi Wan, Yan Yang +4
Accurate 3D ship detection in maritime environments is critical for autonomous navigation, yet remains challenging due to large-scale vessel variations, sparse point clouds of smal…
Structural-Semantic Reciprocal Learning for Unsupervised Visible-Infrared Person Re-Identification
Moyao Tian, Shijia Liu, Yan Yang +4
Unsupervised visible-infrared person re-identification (USVI-ReID) is challenging due to the large modality gap and the lack of cross-modal identity annotations. Progressive associ…
CouCE: A Unified Causal Framework for Debiased Deep Metric Learning
Xin Yuan, Zhenyang Niu, Meiqi Wan +3
Deep Metric Learning (DML) often struggles with zero-shot generalization because standard objectives inherently capture what co-occurs rather than what causes similarity. Consequen…
Beyond Seen Bounds: Class-Centric Polarization for Single-Domain Generalized Deep Metric Learning
Xin Yuan, Meiqi Wan, Wei Liu +2
Single-domain generalized deep metric learning (SDG-DML) faces the dual challenge of both category and domain shifts during testing, limiting real-world applications. Therefore, ai…
MambaOVSR: Multiscale Fusion with Global Motion Modeling for Chinese Opera Video Super-Resolution
Hua Chang, Xin Xu, Wei Liu +3
Chinese opera is celebrated for preserving classical art. However, early filming equipment limitations have degraded videos of last-century performances by renowned artists (e.g.,…
Event-based Video Person Re-identification via Cross-Modality and Temporal Collaboration
Renkai Li, Xin Yuan, Wei Liu +1
Video-based person re-identification (ReID) has become increasingly important due to its applications in video surveillance applications. By employing events in video-based person…
VAGeo: View-specific Attention for Cross-View Object Geo-Localization
Zhongyang Li, Xin Yuan, Wei Liu +1
Cross-view object geo-localization (CVOGL) aims to locate an object of interest in a captured ground- or drone-view image within the satellite image. However, existing works treat…
Mix-Modality Person Re-Identification: A New and Practical Paradigm
Wei Liu, Xin Xu, Hua Chang +2
Current visible-infrared cross-modality person re-identification research has only focused on exploring the bi-modality mutual retrieval paradigm, and we propose a new and more pra…