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Julian F. P. Kooij

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Preprint Aug 2026

RVLoss: Runoff Vote Loss for Self-Supervised LiDAR Scene Flow Estimation

LiDAR scene flow estimates point-wise motion between two consecutive scans, referred to as the source and target. Leading self-supervised methods typically minimize the Chamfer loss, the nearest neighbor distance between the flow-compensated source and the target. However, nearest-neighbor search does not enforce motio...

Shiming Wang, Liang-Liang Nan, Julian F. P. Kooij et al. · 1 citation
Preprint Aug 2026

OpenCVL: An Open, Diverse, and Large-Scale Dataset for Fine-Grained Cross-View Localization

Experiments with a state-of-the-art CVL model on OpenCVL show that incorporating noisy in-the-wild data consistently improves performance on clean test sets, suggesting a promising direction for scaling CVL with diverse real-world imagery.

Zi-Min Xia, Mubariz Zaffar, Junfan Fu et al. · 0 citations
Preprint Aug 2026

Emergent 3D Instance Segmentation from Self-Supervised Point Transformers

This work investigates whether a frozen, self-supervised point transformer already contains the structural information required to isolate object instances without any handcrafted geometric prior, and develops a training-free segmenter that groups points via connected components on a key-similarity graph, using neither...

Ted Lentsch, Santiago Montiel-Mar'in, Holger Caesar et al. · 0 citations

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