6 citations · 22 across the 45 of their papers we have counts for
6 papers · 1 filter
GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives
Zuyao Chen, Jinlin Wu, Zhen Lei +2
Training Scene Graph Generation (SGG) models with natural language captions has become increasingly popular due to the abundant, cost-effective, and open-world generalization super…
SurgPLAN: Surgical Phase Localization Network for Phase Recognition
Xingjian Luo, You Pang, Zhen Chen +4
Surgical phase recognition is crucial to providing surgery understanding in smart operating rooms. Despite great progress in automatic surgical phase recognition, most existing met…
PWISeg: Point-based Weakly-supervised Instance Segmentation for Surgical Instruments
Zhen Sun, Huan Xu, Jinlin Wu +3
In surgical procedures, correct instrument counting is essential. Instance segmentation is a location method that locates not only an object's bounding box but also each pixel's sp…
Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and Retention
Zuyao Chen, Jinlin Wu, Zhen Lei +2
Scene Graph Generation (SGG) offers a structured representation critical in many computer vision applications. Traditional SGG approaches, however, are limited by a closed-set assu…
Weakly Supervised YOLO Network for Surgical Instrument Localization in Endoscopic Videos
Rongfeng Wei, Jinlin Wu, Xuexue Bai +4
In minimally invasive surgery, surgical instrument localization is a crucial task for endoscopic videos, which enables various applications for improving surgical outcomes. However…
Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search
Benzhi Wang, Yang Yang, Jinlin Wu +2
Weakly supervised person search aims to jointly detect and match persons with only bounding box annotations. Existing approaches typically focus on improving the features by explor…