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Found 5 papers, 3 papers with code
E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning
While registration of 2D RGB images to 3D point clouds is a long-standing problem in computer vision, no prior work studies 2D-3D registration for event cameras.
Decoupled Local Aggregation for Point Cloud Learning
In this work, we propose to decouple the explicit modelling of spatial relations from local aggregation.
Ranked #4 on
Semantic Segmentation
on S3DIS Area5
DSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames
Second, we propose an modeling evaluation method based on HPMB for object-level modeling to overcome this limitation.
Point Cloud Registration
Simultaneous Localization and Mapping
Robust Diversified Graph Contrastive Network for Incomplete Multi-view Clustering
To address these issues, we propose a Robust Diversified Graph Contrastive Network (RDGC) for incomplete multi-view clustering, which integrates multi-view representation learning and diversified graph contrastive regularization into a unified framework.
ConTIG: Continuous Representation Learning on Temporal Interaction Graphs
Representation learning on temporal interaction graphs (TIG) is to model complex networks with the dynamic evolution of interactions arising in a broad spectrum of problems.
