5 citations · 18 across the 7 of their papers we have counts for
9 papers
TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery
Zixu Zhao, Yueming Jin, Pheng-Ann Heng
Surgical instrument segmentation -- in general a pixel classification task -- is fundamentally crucial for promoting cognitive intelligence in robot-assisted surgery (RAS). However…
Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning
Zixu Zhao, Yueming Jin, Pheng-Ann Heng
This paper presents a self-supervised method for learning reliable visual correspondence from unlabeled videos. We formulate the correspondence as finding paths in a joint space-ti…
Temporal Memory Relation Network for Workflow Recognition from Surgical Video
Yueming Jin, Yonghao Long, Cheng Chen +3
Automatic surgical workflow recognition is a key component for developing context-aware computer-assisted systems in the operating theatre. Previous works either jointly modeled th…
One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video
Zixu Zhao, Yueming Jin, Bo Lu +4
Surgical instrument segmentation in robot-assisted surgery (RAS) - especially that using learning-based models - relies on the assumption that training and testing videos are sampl…
Future Frame Prediction for Robot-assisted Surgery
Xiaojie Gao, Yueming Jin, Zixu Zhao +2
Predicting future frames for robotic surgical video is an interesting, important yet extremely challenging problem, given that the operative tasks may have complex dynamics. Existi…
Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video
Zixu Zhao, Yueming Jin, Xiaojie Gao +2
Performing low hertz labeling for surgical videos at intervals can greatly releases the burden of surgeons. In this paper, we study the semi-supervised instrument segmentation from…