activity
20232026
most citedFRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

40 citations · 76 across the 15 of their papers we have counts for

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15 papers · 1 filter

cs.CV2026

MambaRain: Multi-Scale Mamba-Attention Framework for 0-3 Hour Precipitation Nowcasting

Chunlei Shi, Cui Wu, Xiang Xu +10

Accurate precipitation nowcasting over extended horizons (0-3 hours) is essential for disaster mitigation and operational decision-making, yet remains a critical challenge in the f…

cs.CV2026

OmniLiDAR: A Unified Diffusion Framework for Multi-Domain 3D LiDAR Generation

Youquan Liu, Weidong Yang, Ao Liang +9

LiDAR scene generation is increasingly important for scalable simulation and synthetic data creation, especially under diverse sensing conditions that are costly to capture at scal…

cs.CV2025

U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences

Xiang Xu, Alan Liang, Youquan Liu +4

Modeling dynamic 3D environments from LiDAR sequences is central to building reliable 4D worlds for autonomous driving and embodied AI. Existing generative frameworks, however, oft…

cs.CV2025

Veila: Panoramic LiDAR Generation from a Monocular RGB Image

Youquan Liu, Lingdong Kong, Weidong Yang +8

Realistic and controllable panoramic LiDAR data generation is critical for scalable 3D perception in autonomous driving and robotics. Existing methods either perform unconditional…

cs.CV2025

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations

Xiang Xu, Lingdong Kong, Song Wang +2

LiDAR representation learning aims to extract rich structural and semantic information from large-scale, readily available datasets, reducing reliance on costly human annotations.…

cs.CV2025

EventFly: Event Camera Perception from Ground to the Sky

Lingdong Kong, Dongyue Lu, Xiang Xu +3

Cross-platform adaptation in event-based dense perception is crucial for deploying event cameras across diverse settings, such as vehicles, drones, and quadrupeds, each with unique…