Chi-Fai Ng — accepted AI-conference papers

2026

Self-Supervised Adaptive Transformer for Surgical Step Recognition in Robotic-Assisted Radical Prostatectomy

Yiru Ye, Wenlong Wang, Yonghao Long, Chi-Fai Ng, QingYin Zhou, Dongren Yang +3

RA-L 2026

The automatic recognition of surgical steps is essential for enhancing situational awareness and workflow automation in robotic-assisted surgery. However, existing vision-based approaches exhibit limitations in effectively leveraging rich spatial-temporal information from surgical videos, particular

Cited by 0 Source ↗Scholar ↗

2021

One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video

Zixu Zhao, Yueming Jin, Bo Lu, Chi-Fai Ng, Qi Dou, Yun-Hui Liu +1

ICRA 2021poster

Surgical instrument segmentation in robot-assisted surgery (RAS) - especially that using learning-based models - relies on the assumption that training and testing videos are sampled from the same domain. However, it is impractical and expensive to collect and annotate sufficient data from every new…

Cited by 26 Source ↗Scholar ↗