Author

Yancong Lin

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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

Jul 2026

CorrelationFlow: A Training-Free Geometric Approach for LiDAR Scene Flow Estimation

CorrelationFlow is a new paradigm that reformulates LiDAR scene flow as a correlation maximization problem between Bird's-Eye View (BEV) images, and shows that this classical, model-based approach can match or even surpass the performance of learning-based methods.

Minh-Quan Dao, Yancong Lin, J. S. B. Perez et al. · arXiv.org · 0 citations