Qisen Xu — accepted AI-conference papers

2025

DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation

Xiaowei Mao, Yan Lin, Shengnan Guo, Yubin Chen, Xingyu Xian, Haomin Wen +3

AAAI 2025technical

Uncertainty quantification in travel time estimation (TTE) aims to estimate the confidence interval for travel time, given the origin (O), destination (D), and departure time (T). Accurately quantifying this uncertainty requires generating the most likely path and assessing travel time uncertainty a…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗

2020

Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning

Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang +2

CVPR 2020poster

Existing automatic 3D image segmentation methods usually fail to meet the clinic use. Many studies have explored an interactive strategy to improve the image segmentation performance by iteratively incorporating user hints. However, the dynamic process for successive interactions is largely ignored.…

Cited by 130 PDF ↗Scholar ↗