Latest AI and machine learning research in universal precautions for healthcare professionals.
Zero-shot referring image segmentation aims to locate and segment the target region based on a ref...
We present MaskMark, a simple, efficient, and flexible framework for image watermarking. MaskMark ...
Recent advancements in image editing have utilized large-scale multimodal models to enable intuiti...
Given a single labeled example, in-context segmentation aims to segment corresponding objects. Thi...
Document Reading Order Recovery is a fundamental task in document image understanding, playing a p...
Remote sensing has become critical for understanding environmental dynamics, urban planning, and d...
Existing Masked Image Modeling methods apply fixed mask patterns to guide the self-supervised trai...
Text-to-image (T2I) diffusion models have achieved remarkable success in generating high-quality i...
Current Few Shot Segmentation literature lacks a mask selection method that goes beyond visual sim...
Sparse-view sampling in dual-energy computed tomography (DECT) significantly reduces radiation dos...
We introduce the S-EO dataset: a large-scale, high-resolution dataset, designed to advance geometr...
This paper presents MedSegFactory, a versatile medical synthesis framework that generates high-qua...
Chronic wounds affect a large population, particularly the elderly and diabetic patients, who ofte...
With the increasing demand for human-computer interaction (HCI), flexible wearable gloves have eme...
Recent advances in Vision Transformers (ViTs) have set new benchmarks in semantic segmentation. Ho...
Region-level captioning aims to generate natural language descriptions for specific image regions ...
Unsupervised anomaly detection and segmentation methods train a model to learn the training distri...
Visible watermark removal which involves watermark cleaning and background content restoration is ...
BACKGROUND: Severe esophagogastric varices (EGVs) significantly affect prognosis of patients with he...
Instance segmentation plays a pivotal role in medical image analysis by enabling precise localizat...
Curvilinear structure segmentation (CSS) is vital in various domains, including medical imaging, l...