4 citations · 4 across the 11 of their papers we have counts for
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MAG-VLAQ: Multi-modal Aerial-Ground Query Aggregation for Cross-View Place Recognition
Zhengyi Xu, Yuhang Ming, Zhihao Zhan +3
Multi-modal cross-view place recognition remains a fundamental challenge in computer vision and robotics due to the severe viewpoint, modality, and spatial-structure discrepancies…
VFM-Recon: Unlocking Cross-Domain Scene-Level Neural Reconstruction with Scale-Aligned Foundation Priors
Yuhang Ming, Tingkang Xi, Xingrui Yang +4
Scene-level neural volumetric reconstruction from monocular videos remains challenging, especially under severe domain shifts. Although recent advances in vision foundation models…
Keyframe-Based Feed-Forward Visual Odometry
Weichen Dai, Wenhan Su, Da Kong +2
The emergence of visual foundation models has revolutionized visual odometry~(VO) and SLAM, enabling pose estimation and dense reconstruction within a single feed-forward network.…
DC-VLAQ: Query-Residual Aggregation for Robust Visual Place Recognition
Hanyu Zhu, Zhihao Zhan, Yuhang Ming +4
One of the central challenges in visual place recognition (VPR) is learning a robust global representation that remains discriminative under large viewpoint changes, illumination v…