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Author

Zehao Huang

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Preprint Sep 2026

DriveZero: End-to-End Driving Beyond Human Demonstrations

DriveZero is presented, an end-to-end system that learns driving behavior beyond human demonstrations that achieves state-of-the-art performance on NAVSIMv1, NAVSIMv2 and the closed-loop HUGSIM benchmark without any human trajectory supervision.

Hao He, Cheng-Cheng Hu, Zi-Run Su et al. · 2 citations
Preprint Sep 2026

RoGe: Novel View Synthesis via End-to-End Implicit Reconstruction and Generation

RoGe is an end-to-end unified reconstruction and generation framework that removes this explicit bridge between reconstruction and generation, and outperforms reconstruction-based, generation-based, and hybrid baselines in terms of image-level quality and video-level temporal and geometric consistency.

Xiaolei Lang, Ze Kang, Ze-Hao Huang et al. · 0 citations
Preprint Aug 2026

Geometry-Grounded Unified 3D Perception for Autonomous Driving

A Geometry-grounded Unified 3D Perception (GeoUP) framework that adapts the reconstruction-oriented latent of VGGT to calibrated, streaming multi-camera driving scenes and achieves SOTA performance across detection, occupancy, and depth estimation is presented.

Longfei Xu, Xiao-Hui Wang, Ze-Hao Huang et al. · 2 citations
Jul 2026

ViSTR-Bench: Can MLLMs Reason from Continuous Visual Cues in Dynamic Scenes?

The ViSTR-Bench is introduced, a novel evaluation suite designed to systematically assess whether MLLMs can perform qualitative reasoning from continuous visual cues in dynamic scenes and establishes a comprehensive four-dimensional evaluations covering Motion Perception, Spatial Relations, Outcome Prediction, and Phys...

Han Li, Si Liu, Zehao Huang et al. · 1 citation

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