6 papers
CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery
Oluwatosin Alabi, Ko Ko Zayar Toe, Zijian Zhou +4
In laparoscopic and robotic surgery, precise tool instance segmentation is an essential technology for advanced computer-assisted interventions. Although publicly available procedu…
MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving
Zhiyuan Zhang, Xiaofan Li, Zhihao Xu +4
Autonomous driving visual question answering (AD-VQA) aims to answer questions related to perception, prediction, and planning based on given driving scene images, heavily relying…
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer
Xinyue Chen, Miaojing Shi, Zijian Zhou +2
Generalized few-shot semantic segmentation (GFSS) aims to segment objects of both base and novel classes, using sufficient samples of base classes and few samples of novel classes.…
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation
Shuangping Huang, Hao Liang, Qingfeng Wang +3
Recently, developing unified medical image segmentation models gains increasing attention, especially with the advent of the Segment Anything Model (SAM). SAM has shown promising b…
OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models
Zijian Zhou, Zheng Zhu, Holger Caesar +1
Panoptic Scene Graph Generation (PSG) aims to segment objects and recognize their relations, enabling the structured understanding of an image. Previous methods focus on predicting…
VLPrompt: Vision-Language Prompting for Panoptic Scene Graph Generation
Zijian Zhou, Miaojing Shi, Holger Caesar
Panoptic Scene Graph Generation (PSG) aims at achieving a comprehensive image understanding by simultaneously segmenting objects and predicting relations among objects. However, th…