Shadow removal aims at restoring the image content within shadow regions, pursuing a
uniform distribution of illumination that is consistent between shadow and non-shadow …

Video class-incremental learning (VCIL) aims to learn discriminative and generalized
feature representations for video frames to mitigate catastrophic forgetting. Conventional …

Score matching with Langevin dynamics (SMLD) method has been successfully applied to
accelerated MRI. However, the sampling process requires subtle hand-tuning, as inaccurate …

Recent advancements in deep learning have shown impressive results in image and video
denoising, leveraging extensive pairs of noisy and noise-free data for supervision. However …

Magnetic resonance imaging (MRI) is a non-invasive medical imaging technique that is
widely used for high-resolution imaging of soft tissues and organs. However, the slow speed …

Deep learning-based methods have been widely used for MR image reconstruction.
However, these methods often require a large amount of fully sampled labelled data for …