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20242026
most citedLPRnet: A self-supervised registration network for LiDAR and photogrammetric point clouds

16 citations · 27 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

PF-Trans: Physics-Embedded Frequency-Aware Transformer for Spectral Reconstruction

Yuzhe Gui, Tianzhu Liu, Yanfeng Gu +1

Snapshot Broadband Filter Array (BFA) imaging provides high light throughput for spectral reconstruction but introduces severe spectral aliasing due to complex modulation. Current…

cs.CV2026

Multi-Angular Reflectance Anisotropy Observed from UAV Multispectral Imagery

Zhenqiang Qin, Chenguang Dai, Min Wang +1

UAV multispectral imagery naturally contains multi-angular observations due to low flight altitude and wide field-of-view imaging, which may introduce geometry-driven radiometric v…

cs.CV2026

CAMF-Det: Closure-Aware Multimodal Fusion for LiDAR-Camera 3D Object Detection on UAV Platforms

Yanze Jiang, Yanfeng Gu, Xian Li

Multimodal 3D object detection based on LiDAR and cameras has demonstrated excellent performance in ground-vehicle scenarios, but has not been explored for Unmanned Aerial Vehicle…

cs.CV2026

Illumination-Invariant Anomaly Detection for Sub-Canopy UAV Multispectral Point Clouds

Likun Chen, Yanfeng Gu, Xian Li

Unmanned Aerial Vehicle (UAV) multispectral point clouds (MPC) provide high-dimensional spatial-spectral data for sub-canopy target detection; however, their efficacy is significan…

cs.CV2026

An Enhanced Geometric-Spectral Feature Learning Framework for Airborne Multispectral Point Cloud Classification

Xian Li, Yanfeng, Gu Linghua Xu +1

Multispectral point cloud (MPC) is composed of 3D spatial-spectral information, which holds tremendous potential for accurate land-cover classification. However, the representation…

cs.CV202511 cited

Pillar-Voxel Fusion Network for 3D Object Detection in Airborne Hyperspectral Point Clouds

Yanze Jiang, Yanfeng Gu, Xian Li

Hyperspectral point clouds (HPCs) can simultaneously characterize 3D spatial and spectral information of ground objects, offering excellent 3D perception and target recognition cap…