Medical image segmentation is a crucial task that relies on the ability to accurately identify
and isolate regions of interest in medical images. Thereby, generative approaches allow to …

Change detection (CD) methodologies have garnered substantial attention owing to their
capability to monitor alterations in geographic spaces across temporal intervals, especially …

The binarization of degraded documents represents a crucial preprocessing task for various
document analyses, including optical character recognition and historical document …

In recent years, the application of deep learning to change detection (CD) has significantly
progressed in remote sensing images. CD tasks have mostly used architectures, such as …

Passive millimeter-wave (PMMW) imager has become a common device for detecting
concealed objects in security screening. However, the current detection methods rely …

Human hair segmentation is essential for face recognition and for achieving natural
transformation of style transfer. However, it remains a challenging task due to the diverse …

Diffuse gliomas are malignant brain tumors that grow widespread through the brain. The
complex interactions between neoplastic cells and normal tissue, as well as the treatment …

The lane graph is a key component for building high-definition (HD) maps and crucial for
downstream tasks such as autonomous driving or navigation planning. Previously, He et …

Denoising Diffusion Probabilistic Models have exhibited impressive performance for
generative modelling of images. This paper aims to explore the potential of diffusion models …

Object detection is a fundamental task of remote-sensing image processing. Most existing
object detection detectors handle regression and classification tasks through learning from a …