Abstract: Deep learning models have demonstrated significant efficacy across various domains, including healthcare, security, ubiquitous computing, and pervasive intelligence. Long short-term memory ...

Abstract: We propose a self-supervised feature learning assisted reconstruction (SSFL-Recon) framework for MRI reconstruction to address the limitation of existing supervised learning methods.

Ms. Abdelhamid is the author of the forthcoming “Get Home Safe: A Guide to Self-Defense and Building Our Collective Power.” Feb. 12, 2026 I’ve taught self-defense for nearly 17 years, across Queens ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...

Official source code repo for AD-L-JEPA: Self-Supervised Representation Learning with Joint Embedding Predictive Architecture for Automotive LiDAR Object Detection ...

Under the influence of Masked Language Modeling (MLM), Masked Image Modeling (MIM) employs an attention mechanism to perform masked training on images. However, processing a single image requires ...

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

This repository contains the official implementation of our paper "Spatiotemporal Blind-Spot Network with Calibrated Flow Alignment for Self-Supervised Video Denoising". Self-supervised video ...