IEEE

Hyperspectral Image Denoising and Destriping via Gradient Tensor Subspace Low-Rank Learning and Along-Across Stripe Directional Constraints

Abstract: This article proposes a new hyperspectral image (HSI) denoising and destriping method via gradient tensor subspace low-rank learning and along-across stripe directional constraints ...
IEEE

Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation

Abstract: Whole Slide Images (WSIs) play a crucial role in accurate cancer diagnosis and prognosis, as they provide tissue details at the cellular level. However, the rapid growth of computational ...
BMJ Open

High-dose intermittent theta burst stimulation targeting the individualised frontoparietal cognitive network for post-stroke cognitive impairment: protocol for a randomised ...

Introduction Cognitive impairment is a common consequence after stroke. Intermittent theta burst stimulation (iTBS) has emerged as a promising cognitive therapy. However, traditional iTBS typically ...
GitHub

SPGD: Enhancing Diffusion Model Stability for Image Restoration via Gradient Management

Progressive Likelihood Warm-Up to resolve conflicts before denoising. Adaptive Directional Momentum (ADM) to dampen erratic gradient fluctuations. Plug-and-Play Compatibility: Easily integrated into ...
GitHub

Gradient domain model driven algorithm unfolding network for blind image deblurring - Official Pytorch Implementation

This paper has been submitted to ‘Neural Network’ and is currently under review... More experimental results and pre trained models will be released after the article is published.