2 papers
cs.CV2024
PARE-Net: Position-Aware Rotation-Equivariant Networks for Robust Point Cloud Registration
Runzhao Yao, Shaoyi Du, Wenting Cui +2
Learning rotation-invariant distinctive features is a fundamental requirement for point cloud registration. Existing methods often use rotation-sensitive networks to extract featur…
cs.AI2024
Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?
Yifan Feng, Chengwu Yang, Xingliang Hou +4
Existing benchmarks like NLGraph and GraphQA evaluate LLMs on graphs by focusing mainly on pairwise relationships, overlooking the high-order correlations found in real-world data.…