Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Political bias is an inescapable characteristic in news and media reporting, and understanding what ...
The primary challenge of cross-domain few-shot segmentation (CD-FSS) is the domain disparity betwe...
MOTIVATION: T-cell receptors (TCRs) elicit and mediate the adaptive immune response by recognizing a...
The in-image machine translation task involves translating text embedded within images, with the t...
Few-shot anomaly detection (FSAD) aims to detect unseen anomaly regions with the guidance of very ...
When given two similar images, humans identify their differences by comparing the appearance ({\it...
Direct Preference Optimization (DPO) has been demonstrated to be highly effective in mitigating ha...
Human trafficking (HT) remains a critical issue, with traffickers increasingly leveraging online e...
Images captured in severe low-light circumstances often suffer from significant information absenc...
Recent medical vision-language models (VLMs) have shown promise in 2D medical image interpretation...
Medical image segmentation is crucial in modern medical image analysis, which can aid into diagnos...
Infrared-visible object detection (IVOD) seeks to harness the complementary information in infrare...
The reproducibility of computational pipelines is an expectation in biomedical science, particular...
The subtlety of emotional expressions makes implicit emotion analysis (IEA) particularly sensitive...
Single image super-resolution (SR) has long posed a challenge in the field of computer vision. Whi...
Recent research on real-time object detectors (e.g., YOLO series) has demonstrated the effectivene...
We propose a pipeline for gaining insights into complex diseases by training LLMs on challenging s...
The advancement of Large Vision-Language Models (LVLMs) has propelled their application in the med...
In medical reporting, the accuracy of radiological reports, whether generated by humans or machine...
Protocol Reverse Engineering (PRE) is used to analyze protocols by inferring their structure and b...
Recent text-to-image diffusion models leverage cross-attention layers, which have been effectively...