Zongchuang Zhao — accepted AI-conference papers

2025

NAUTILUS: A Large Multimodal Model for Underwater Scene Understanding

Wei Xu, Cheng Wang, Dingkang Liang, Zongchuang Zhao, Xingyu Jiang, Peng Zhang +1

NeurIPS 2025poster

Underwater exploration offers critical insights into our planet and attracts increasing attention for its broader applications in resource exploration, national security, etc. We study the underwater scene understanding methods, which aim to achieve automated underwater exploration. The underwater s…

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2025

ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation

Haoyu Fu, Diankun Zhang, Zongchuang Zhao, Jianfeng Cui, Dingkang Liang, Chong Zhang +4

ICCV 2025poster

End-to-end (E2E) autonomous driving methods still struggle to make correct decisions in interactive closed-loop evaluation due to limited causal reasoning capability. Current methods attempt to leverage the powerful understanding and reasoning abilities of Vision-Language Models (VLMs) to resolve th…

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