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cs.CV2025★ 1 cited
Rethinking Multimodal Point Cloud Completion: A Completion-by-Correction Perspective
Wang Luo, Di Wu, Hengyuan Na +3
Point cloud completion aims to reconstruct complete 3D shapes from partial observations, which is a challenging problem due to severe occlusions and missing geometry. Despite recen…
cs.LG2025
Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement
Yinlin Zhu, Xunkai Li, Jishuo Jia +3
Recent advances in graph machine learning have shifted to data-centric paradigms, driven by two emerging fields: (1) Federated graph learning (FGL) enables multi-client collaborati…