Jianxun Li — accepted AI-conference papers

2025

TripleSolver: A Separate-Simultaneous-Separate Solving Framework for Dual-Robot Calibration

Gumin Jin, Xingkai Yu, Yuqing Chen, Liangren Shi, Jianxun Li

RA-L 2025

Calibrating unknown transformation relationships is crucial for achieving coordinated motion in dual-robot systems. This calibration process can be formulated by solving the transformation matrix equation <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1

Cited by 0 Source ↗code ↗Scholar ↗

2022

Bilateral Knowledge Distillation for Unsupervised Domain Adaptation of Semantic Segmentation

Yunnan Wang, Jianxun Li

IROS 2022poster

Unsupervised domain adaptation (UDA) aims to learn domain-invariant representations between the labeled source domain and the unlabeled target domain. Existing self- training-based UDA methods use ground truth and pseudo- labels to supervise source data and target data respectively. However, strong…

Cited by 5 Source ↗Scholar ↗