Xingyu Mu

According to our database, Xingyu Mu authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dual-branch adaptive attention transformer for occluded person re-identification.

Yunhua Lu, Mingzi Jiang, Zhi Liu, Xingyu Mu

Image Vis. Comput., March, 2023

Learning transformer-based attention region with multiple scales for occluded person re-identification.

Zhi Liu, Xingyu Mu, Yunhua Lu, Tingting Zhang, Yingli Tian

Comput. Vis. Image Underst., March, 2023

Analyzing Children's Behaviors Based on AI Recognition Approach to Promote Child-Friendly School-to-Home Street Design.

Qianxi Zhang, Gang Wang, Yat Ming Loo, Xinkai Wang, Xiumin Xia, Xingyu Mu

Proceedings of the Computer Science and Education. Teaching and Curriculum, 2023

2022

Driving Tasks Transfer Using Deep Reinforcement Learning for Decision-Making of Autonomous Vehicles in Unsignalized Intersection.

Hong Shu, Teng Liu, Xingyu Mu, Dongpu Cao

IEEE Trans. Veh. Technol., 2022

Constructing Adaptive Multi-Scale Feature via Transformer-Aware Patch for Occluded Person Re-Identification.

Zhi Liu, Xingyu Mu, Shidu Dong, Yunhua Lu, Mingzi Jiang

Symmetry, 2022

2020

Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles.

Teng Liu, Xingyu Mu, Bing Huang, Yi Xie, Dongpu Cao

CoRR, 2020

A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles.

Teng Liu, Bing Huang, Xingyu Mu, Fuqing Zhao, Xiaolin Tang, Dongpu Cao

CoRR, 2020

Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study.

Teng Liu, Xingyu Mu, Xiaolin Tang, Bing Huang, Hong Wang, Dongpu Cao

CoRR, 2020

Decision-Making Strategy on Highway for Autonomous Vehicles Using Deep Reinforcement Learning.

Jiangdong Liao, Teng Liu, Xiaolin Tang, Xingyu Mu, Bing Huang, Dongpu Cao

IEEE Access, 2020