Abstract: Few-shot semantic segmentation (FSS) is of tremendous potential for data-scarce scenarios, particularly in medical segmentation tasks with merely a few labeled data. Most of the existing FSS ...

This repository contains code and datasets for our research on developing machine learning models that mimic human visual motion perception. While state-of-the-art computer vision (CV) models, such as ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Abstract: Acquiring high-quality annotated data for medical image segmentation is tedious and costly. Semi-supervised segmentation techniques alleviate this burden by leveraging unlabeled data to ...

T1Prep is a pipeline that preprocesses T1-weighted MRI data and supports segmentation and cortical surface reconstruction. It provides a complete set of tools for efficiently processing structural MRI ...