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Sparse LiDAR Point Cloud Classification: An Efficient FCNN for Autonomous Vehicles

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.aei.2025.103373openalex-snapshot

An efficient 2D-3D fusion method for bridge damage detection under complex backgrounds with imbalanced training data

inferredcites →https://doi.org/10.1016/j.ast.2025.110334openalex-snapshot

Spacecraft depth completion from sparse LiDAR data under adverse illumination

inferredcites →https://doi.org/10.1016/j.autcon.2025.106006openalex-snapshot

Cost-effective LiDAR for pothole detection and quantification using a low-point-density approach

inferredcites →https://doi.org/10.1016/j.buildenv.2025.113309openalex-snapshot

An accurate reconstruction method for indoor bioaerosol concentration field from asynchronous and sparse LiDAR measurements based on latent diffusion models

inferredcites →https://doi.org/10.1016/j.cma.2025.117888openalex-snapshot

Kolmogorov–Arnold PointNet: Deep learning for prediction of fluid fields on irregular geometries

inferredcites →https://doi.org/10.1016/j.compag.2024.109826openalex-snapshot

Handling intra-class imbalance in part-segmentation of different wheat cultivars

inferredcites →https://doi.org/10.1016/j.knosys.2025.114265openalex-snapshot

DFOcc: Enhanced 3D occupancy perception based on scene flow and class-guided sampling

inferredcites →https://doi.org/10.1016/j.knosys.2025.114350openalex-snapshot

LFE-PointMamba: Point cloud learning via local feature enhancement and state space model

inferredcites →https://doi.org/10.1016/j.knosys.2025.114369openalex-snapshot

Enhanced prototype network with gated point recyclable feature mining for few-shot 3D point cloud classification

inferredcites →https://doi.org/10.1016/j.neucom.2023.01.080openalex-snapshot

Probabilistic instance shape reconstruction with sparse LiDAR for monocular 3D object detection

inferredcites →https://doi.org/10.1016/j.neucom.2024.129313openalex-snapshot

Geometric edge convolution for rigid transformation invariant features in 3D point clouds

inferredcites →https://doi.org/10.1016/j.neucom.2025.130350openalex-snapshot

Deep scene flow learning from point cloud with Transformer

inferredcites →https://doi.org/10.1016/j.patcog.2024.110557openalex-snapshot

Composite convolution: A flexible operator for deep learning on 3D point clouds

inferredcites →https://doi.org/10.1016/j.patcog.2024.110858openalex-snapshot

PointSurFace: Discriminative point cloud surface feature extraction for 3D face recognition

inferredcites →https://doi.org/10.1016/j.patcog.2024.111154openalex-snapshot

DyConfidMatch: Dynamic thresholding and re-sampling for 3D semi-supervised learning

inferredcites →https://doi.org/10.1109/tpami.2023.3319005openalex-snapshot

Re-Thinking the Effectiveness of Batch Normalization and Beyond

inferredcites →https://doi.org/10.32604/cmes.2025.064775openalex-snapshot

FastSECOND: Real-Time 3D Detection via Swin-Transformer Enhanced SECOND with Geometry-Aware Learning

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