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Qingliang Luo

2 accepted papers

2026

GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception

ICLR 2026poster

The bird’s-eye view (BEV) representation enables multi-sensor features to be fused within a unified space, serving as the primary approach for achieving comprehensive multi-task perception. However, the discrete grid representation of BEV leads to significant detail loss and limits feature alignment…

Cited by 0SourceScholar
2025

TAD-E2E: A Large-scale End-to-end Autonomous Driving Dataset

ICCV 2025poster

End-to-end autonomous driving technology has recently become a focal point of research and application in autonomous driving. State-of-the-art (SOTA) methods are often trained and evaluated on the NuScenes dataset. However, the NuScenes dataset, introduced in 2019 for 3D perception tasks, faces seve…

Cited by 0SourcePDFScholar