Deep neural networks are vulnerable to adversarial examples crafted by
a...
Masked image modeling (MIM) with transformer backbones has recently been...
In recent years, Denoising Diffusion Models have demonstrated remarkable...
Shadow removal in a single image has received increasing attention in re...
Medical phrase grounding (MPG) aims to locate the most relevant region i...
Continual Learning (CL) sequentially learns new tasks like human beings,...
Preoperative and noninvasive prediction of the meningioma grade is impor...
Multi-modal MR imaging is routinely used in clinical practice to diagnos...
Single image dehazing is a challenging task, for which the domain shift
...
Shadow detection in a single image has received significant research int...
This paper studies a new problem, namely active lighting recurrence (ALR...
Intuitively, motion blur may hurt the performance of visual object track...
Video surveillance can be significantly enhanced by using both top-view ...
In this paper, we address a novel problem of cloning a patch of the sour...