Zhaojiang Liu

2 accepted papers

2026

GEM: Generating LiDAR World Model via Deformable Mamba

Yang Wu, Zhaojiang Liu, Qiang Meng, Youquan Liu, Renliang Weng, Jianjun Qian +2

CVPR 2026

World models, which simulate environmental dynamics and generate sensor observations, are gaining increasing attention in autonomous driving. However, progress in LiDAR-based world models has lagged behind those built on camera videos or occupancy data, primarily due to two core challenges: the inhe

Cited by 0 Source ↗code ↗Scholar ↗

2024

OPUS: Occupancy Prediction Using a Sparse Set

JiaBao Wang, Zhaojiang Liu, Qiang Meng, Liujiang Yan, Ke Wang, JIE YANG +3

NeurIPS 2024poster

Occupancy prediction, aiming at predicting the occupancy status within voxelized 3D environment, is quickly gaining momentum within the autonomous driving community. Mainstream occupancy prediction works first discretize the 3D environment into voxels, then perform classification on such dense grids…

Cited by 12 Source ↗PDF ↗code ↗Scholar ↗