Research
My research focuses on robotics and computer vision,
specifically on multi-agent systems and collaborative perception.
Currently, I am interested in the efficiency aspect of collaborative perception and making use of the complementary strengths of agents in heterogeneous systems.
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Communication-Efficient Collaborative Perception via Information Filling with Codebook
Yue Hu,
Juntong Peng,
Sifei Liu, Junhao Ge, Si Liu, Siheng Chen
CVPR, 2024
We proposed a Communication-Efficient collaboration method, which enhances the tradeoff between performance and communication cost by optimizing information selection and representation.
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Communication-Efficient Multi-Agent 3D Detection via Hybrid Collaboration
Yue Hu,
Juntong Peng,
Yunqiao Yang, Xiaoqi Qin, Zhiyong Feng, Wenjun Zhang, Siheng Chen
2024, Under review
We utilized the confidence and uncertainty of single perception to guide the information sharing process, combining the benefits of both sparse and dense information form. Our method consumes far less communication resources than the previous SOTA.
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Service & Teaching
Reviewer: IEEE Robotics and Automation Letters
2023
TA: CS1108 - Introduction to Data Science, fall 2023
Fall, 2023
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Internship
Working on the topic of reliable distributed system for V2X collaboration.
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This homepage is designed based on Jon Barron's website.
© 2024 Juntong Peng
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