Zhengjie Wang — accepted AI-conference papers

2026

Dynamic-Static Collaboration for Unsupervised Domain Adaptive Video-Based Visible-Infrared Person Re-Identification

Jiaxu Leng, Zhengjie Wang, Shuang Li, Xinbo Gao

AAAI 2026technical

Video-based visible-infrared person re-identification (VVI-ReID) aims to match pedestrian sequences across modalities for all-day surveillance. While supervised methods have shown progress, their dependence on large-scale cross-modal annotations limits scalability. We investigate the task of unsuper

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2026

UNeMo: Collaborative Visual-Language Reasoning and Navigation via a Multimodal World Model

Changxin Huang, Lv Tang, Zhaohuan Zhan, Lisha Yu, Runhao Zeng, Zun Liu +2

AAAI 2026technical

Vision-and-Language Navigation (VLN) requires agents to autonomously navigate complex environments via visual images and natural language instructions—remains highly challenging. Recent research on enhancing language-guided navigation reasoning using pre-trained large language models (LLMs) has show

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