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Tian-Bao Zhang

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Preprint Sep 2026

Drive-HWM: Hierarchical World Models for Dynamic-Latent Guided Autonomous Driving

World models offer a promising paradigm for autonomous driving by predicting how traffic scenes may evolve and using such predictions to support action generation. However, existing approaches either separate future prediction from action generation or jointly predict them at the same temporal scale, making it difficul...

Zhao-Xin Fan, Tian-Bao Zhang, Wen-Jun Wu et al. · 0 citations
Jul 2026

Learning Agile Navigation in Crowded Environments for Quadruped Robots

This work proposes VOP-Nav, a novel navigation system that combines the geometric safety of VO with the agile adaptability of end-to-end learning and validates the system's robustness and efficiency in complex indoor and outdoor dynamic environments.

Shuyu Wu, Zeyu Liu, Tian-Bao Zhang et al. · 1 citation
Preprint Aug 2026

LiteMVS: Efficient Multi-View Stereo with Foundation Distillation and Expert Aggregation

LiteMVS is a lightweight multi-view depth estimation model that integrates plane-sweep geometric reasoning with strong monocular semantic and structural priors and employs a Mixture-of-Experts (MoE) formulation to enable adaptive geometric aggregation across depth hypotheses.

Tian-Bao Zhang, Zeyu Liu, Shuyu Wu et al. · 0 citations

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