1 citations · 2 across the 5 of their papers we have counts for
5 papers
Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection
Jialun Pei, Ruize Cui, Yaoqian Li +3
Laparoscopic liver surgery poses a complex intraoperative dynamic environment for surgeons, where remains a significant challenge to distinguish critical or even hidden structures…
Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms
Diandian Guo, Manxi Lin, Jialun Pei +3
A comprehensive understanding of surgical scenes allows for monitoring of the surgical process, reducing the occurrence of accidents and enhancing efficiency for medical profession…
A Unified Query-based Paradigm for Camouflaged Instance Segmentation
Bo Dong, Jialun Pei, Rongrong Gao +3
Due to the high similarity between camouflaged instances and the background, the recently proposed camouflaged instance segmentation (CIS) faces challenges in accurate localization…
Partitioned Saliency Ranking with Dense Pyramid Transformers
Chengxiao Sun, Yan Xu, Jialun Pei +2
In recent years, saliency ranking has emerged as a challenging task focusing on assessing the degree of saliency at instance-level. Being subjective, even humans struggle to identi…
Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation
Jialun Pei, Zhangjun Zhou, Yueming Jin +2
High-accuracy Dichotomous Image Segmentation (DIS) aims to pinpoint category-agnostic foreground objects from natural scenes. The main challenge for DIS involves identifying the hi…