arXiv AI
Training-Free Global Geometric Association for 4D LiDAR Panoptic Segmentation
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Towards Foundation Models for 3D Scene Understanding: Instance-Aware Self-Supervised Learning for Point Clouds
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Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching
arXiv:2506. 22784v2 Announce Type: replace-cross Abstract: Point-pixel registration between LiDAR point clouds and camera images is a fundamental yet challenging task in autonomous driving and robotic perception.
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Bootstrapping a 4D LiDAR Annotation Tool from Video Foundation Models
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Unsupervised Point Cloud Registration via Training-Time Semantic Guidance
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arXiv AI
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GVC-Seg: Training-Free 3D Instance Segmentation via Geometric Visual Correspondence
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arXiv AI
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A Survey on Deep Learning Architectures for Point Cloud Classification and Segmentation
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