Shidong Cao — accepted AI-conference papers

2024

See and Think: Embodied Agent in Virtual Environment

Zhonghan Zhao, Xuan Wang, Wenhao Chai, Boyi Li, Shengyu Hao, Shidong Cao +2

ECCV 2024poster

"Large language models (LLMs) have achieved impressive pro-gress on several open-world tasks. Recently, using LLMs to build embodied agents has been a hotspot. This paper proposes STEVE, a comprehensive and visionary embodied agent in the Minecraft virtual environment. STEVE comprises three key comp…

Cited by 37 Source ↗PDF ↗Scholar ↗

2024

UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning

Meiqi Sun, Zhonghan Zhao, Wenhao Chai, Hanjun Luo, Shidong Cao, Yanting Zhang +2

AAAI 2024technical

Animal visual perception is an important technique for automatically monitoring animal health, understanding animal behaviors, and assisting animal-related research. However, it is challenging to design a deep learning-based perception model that can freely adapt to different animals across various…

Cited by 9 Source ↗PDF ↗Scholar ↗