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Zengyuan Guo

2 accepted papers

2025

World Knowledge-Enhanced Reasoning Using Instruction-Guided Interactor in Autonomous Driving

AAAI 2025technical

The Multi-modal Large Language Models (MLLMs) with extensive world knowledge have revitalized autonomous driving, particularly in reasoning tasks within perceivable regions. However, when faced with perception-limited areas (dynamic or static occlusion regions), MLLMs struggle to effectively integra…

Cited by 2SourcePDFScholar
2023

StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training

ICLR 2023poster

In this paper, we present StrucTexTv2, an effective document image pre-training framework, by performing masked visual-textual prediction. It consists of two self-supervised pre-training tasks: masked image modeling and masked language modeling, based on text region-level image masking. The proposed…