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Found 8 papers, 5 papers with code
A New Adversarial Perspective for LiDAR-based 3D Object Detection
Autonomous vehicles (AVs) rely on LiDAR sensors for environmental perception and decision-making in driving scenarios.
LiSA: LiDAR Localization with Semantic Awareness
In SCR a scene is represented as a neural network which outputs the world coordinates for each point in the input point cloud.
Global and Hierarchical Geometry Consistency Priors for Few-shot NeRFs in Indoor Scenes
In this work we present P\textsuperscript 2 NeRF to capture global and hierarchical geometry consistency priors from pretrained models thus facilitating few-shot NeRFs in 360^\circ outward-facing indoor scenes.
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.
Semantic Segmentation
Supervised Only 3D Point Cloud Classification
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.
