Search Results for author:
Found 2 papers, 1 papers with code
What Matters for 3D Scene Flow Network
Our proposed model surpasses all existing methods by at least 38. 2% on FlyingThings3D dataset and 24. 7% on KITTI Scene Flow dataset for EPE3D metric.
Residual 3D Scene Flow Learning with Context-Aware Feature Extraction
To solve the first problem, a novel context-aware set convolution layer is proposed in this paper to exploit contextual structure information of Euclidean space and learn soft aggregation weights for local point features.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
