Zhengzhou Zhu — accepted AI-conference papers

2026

OmniNav: A Unified Framework for Prospective Exploration and Visual-Language Navigation

Xinda Xue, Junjun Hu, Minghua Luo, Xie Shichao, Jintao Chen, Zixun Xie +5

ICLR 2026poster

Embodied navigation is a foundational challenge for intelligent robots, demanding the ability to comprehend visual environments, follow natural language instructions, and explore autonomously. However, existing models struggle to provide a unified solution across heterogeneous navigation paradigms,…

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2025

AIComposer: Any Style and Content Image Composition via Feature Integration

Haowen Li, Zhenfeng Fan, Zhang Wen, Zhengzhou Zhu, Yunjin Li

ICCV 2025poster

Image composition has advanced significantly with large-scale pre-trained T2I diffusion models. Despite progress in same-domain composition, cross-domain composition remains under-explored. The main challenges are the stochastic nature of diffusion models and the style gap between input images, lead…

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