Zhonghan Zhao is a PhD student at Zhejiang University, with CVNext Lab advised by Prof. Gaoang Wang. His research interests include human perception model, embodied AI, multi-agent planning and multi-modality learning.
Selected Publications:
Also see Publications Page and Google Scholar.
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See and think: Embodied agent in virtual environment
Zhonghan Zhao*, Wenhao Chai, Xuan Wang, Li Boyi, Shengyu Hao, Shidong Cao, Tian Ye, Jenq-Neng Hwang, Gaoang Wang✉ [Paper] [Code]
A comprehensive and visionary embodied agent in the Minecraft virtual environment comprises three key components: vision perception, language instruction, and code action. -
UniAP: Towards Universal Animal Perception in Vision via Few-shot Learning
Meiqi Sun*, Zhonghan Zhao*, Wenhao Chai, Hanjun Luo, Shidong Cao, Yanting Zhang, Jenq-Neng Hwang, Gaoang Wang✉
Association for the Advancement of Artificial Intelligence (AAAI), 2024
[Paper] [Code]
A novel Universal Animal Perception model, UniAP that leverages few-shot learning to enable cross-species perception among various visual tasks. -
A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision
Zhonghan Zhao, Wenhao Chai, Shengyu Hao, Wenhao Hu, Guanhong Wang, Shidong Cao, Mingli Song, Jenq-Neng Hwang, Gaoang Wang✉ [Paper] [Code]
A survey of Deep Learning in Sports Applications.
Updates:
- November 2023: Our paper See and think: Embodied agent in virtual environment.
- August 2023: Our paper UniAP: Towards Universal Animal Perception in Vision via Few-shot Learning.
- June 2023: Our paper A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision.
- July 2022: Start my research on the Active Tracking task, advised by Professor Gaoang Wang.