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Zhenglong Guo

2 accepted papers

2026

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model

CVPR 2026

This paper introduces a novel architecture for trajectory-conditioned forecasting of future 3D scene occupancy. In contrast to methods that rely on variational autoencoders (VAEs) to generate discrete occupancy tokens, which inherently limit representational capacity, our approach predicts multi-fra

Cited by 0SourcecodeScholar
2022

DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection

CVPR 2022poster

Autonomous driving faces great safety challenges for a lack of global perspective and the limitation of long-range perception capabilities. It has been widely agreed that vehicle-infrastructure cooperation is required to achieve Level 5 autonomy. However, there is still NO dataset from real scenario…

Cited by 428PDFcodeScholar