40 citations · 107 across the 21 of their papers we have counts for
26 papers
Beyond Pixel Overlap: A Framework for Decomposing Segmentation Evaluation Metrics
Youwei Pang, Xiaoqi Zhao
Evaluation metrics are central to binary target segmentation because they determine how progress is measured, compared, and interpreted. In this paper, target denotes the task-defi…
DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance
Qiangqiang Zhou, Jiawei Xu, Yong Chen +3
In many binary segmentation tasks, most multimodal methods rely on fixed feature concatenation for cross-modal interaction and straightforward decoder designs dominated by low-freq…
ConceptSeg-R1: Segment Any Concept via Meta-Reinforcement Learning
Yuan Zhao, Youwei Pang, Jiaming Zuo +10
Recent progress in promptable segmentation has shifted visual perception from object-level localization toward concept-level understanding. However, the notion of a concept remains…
Satellite-Free Training for Drone-View Geo-Localization
Tao Liu, Yingzhi Zhang, Kan Ren +1
Drone-view geo-localization (DVGL) aims to determine the location of drones in GPS-denied environments by retrieving the corresponding geotagged satellite tile from a reference gal…
TP-Seg: Task-Prototype Framework for Unified Medical Lesion Segmentation
Jiawei Xu, Qiangqiang Zhou, Dandan Zhu +3
Building a unified model with a single set of parameters to efficiently handle diverse types of medical lesion segmentation has become a crucial objective for AI-assisted diagnosis…
U-Harmony: Enhancing Joint Training for Segmentation Models with Universal Harmonization
Weiwei Ma, Xiaobing Yu, Peijie Qiu +7
In clinical practice, medical segmentation datasets are often limited and heterogeneous, with variations in modalities, protocols, and anatomical targets across institutions. Exist…