14 citations · 26 across the 11 of their papers we have counts for
6 papers · 1 filter
Learning Flow Fields in Attention for Controllable Person Image Generation
Zijian Zhou, Shikun Liu, Xiao Han +11
Controllable person image generation aims to generate a person image conditioned on reference images, allowing precise control over the person's appearance or pose. However, prior…
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…
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…
Multimodal Large Language Model driven Radiology Report Generation with Clinical Knowledge Enhancement
Miaojing Shi, Tianyu Cen, Zijie Yue +3
Radiology report generation (RRG) has attracted significant attention due to its potential to reduce the workload of radiologists. The performance of current RRG approaches remains…
Multitask Learning in Minimally Invasive Surgical Vision: A Review
Oluwatosin Alabi, Tom Vercauteren, Miaojing Shi
Minimally invasive surgery (MIS) has revolutionized many procedures and led to reduced recovery time and risk of patient injury. However, MIS poses additional complexity and burden…