arXiv Computer Vision
MotionDLO: Hybrid Event- and Frame-Based Tracking of Deformable Linear Objects
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TAPVid-MV: A Benchmark for Tracking Any Point in 3D Across Multiple Views
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ASUMOT: Motion-Consistency-Based Asynchronous UAV Detection and Tracking with Event Cameras
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MoPe: Motion Permanence for Robust Monocular Gaussian Mapping in Dynamic Environments
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Motion-Aware Vision-Reference Alignment for Referring Multi-Object Tracking
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TFTrack: A Template-Free Framework for Efficient 3D Point Cloud Tracking
arXiv:2609.07738v1 Announce Type: cross Abstract: LiDAR-based 3D Single Object Tracking (3D SOT) is critical for robotic perception and navigation and aims to localize dynamic objects across frames i...