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20192026
most citedOAMatcher: An Overlapping Areas-based Network for Accurate Local Feature Matching

19 citations · 26 across the 15 of their papers we have counts for

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Showing 2026 · cs.CVShow all

5 papers · 2 filters

cs.CV2026

MatchFusion: Explicit-Implicit Instance Matching for Spatio-Temporal Multimodal Autonomous Driving

Xiaoyu Li, Jiajia Fu, Long Shi +7

Sparse instance representations provide a compact interface for spatial LiDAR-camera and temporal past-current interaction in multimodal perception and E2EAD. Effective interaction…

cs.CV2026

LiDAR Prompted Spatio-Temporal Multi-View Stereo for Autonomous Driving

Qihao Sun, Jiarun Liu, Ziqian Ni +5

Accurate metric depth is critical for autonomous driving perception and simulation, yet current approaches struggle to achieve high metric accuracy, multi-view and temporal consist…

cs.CV2026

Fusion-Poly: A Polyhedral Framework Based on Spatial-Temporal Fusion for 3D Multi-Object Tracking

Xian Wu, Yitao Wu, Xiaoyu Li +3

LiDAR-camera 3D multi-object tracking (MOT) combines rich visual semantics with accurate depth cues to improve trajectory consistency and tracking reliability. In practice, however…

cs.CV2026

MipSLAM: Alias-Free Gaussian Splatting SLAM

Yingzhao Li, Yan Li, Shixiong Tian +3

This paper introduces MipSLAM, a frequency-aware 3D Gaussian Splatting (3DGS) SLAM framework capable of high-fidelity anti-aliased novel view synthesis and robust pose estimation u…

cs.CV2026

Offline-Poly: A Polyhedral Framework For Offline 3D Multi-Object Tracking

Xiaoyu Li, Yitao Wu, Xian Wu +3

Offline 3D multi-object tracking (MOT) is a critical component of the 4D auto-labeling (4DAL) process. It enhances pseudo-labels generated by high-performance detectors through the…